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AI Voice Agents - The Complete Guide to Voice Chat (2025)

Nov 23, 2025
7 mins

Learn everything about an AI voice agents, its benefits, implementation tips, and the AI voice chat applications for business success.

Longer wait times, high call volumes, and language barriers in call centers often frustrate customers. Complex interactive voice response (IVR) menus only add to the problem, leading to customer dissatisfaction. That’s why companies are adopting smarter self-service solutions like artificial intelligence (AI) voice agents. In fact, experts predict the voice bot market will reach $98.2 billion by 2027, showing a clear trend toward smarter solutions to improving customer experience.

AI voice agents technology combines Natural Language Processing (NLP), machine learning, and voice recognition to transform customer interactions. It provides quicker, more efficient service and improves the overall customer experience.

In this guide, we'll explore what AI voice agents are, their key features, practical use cases, and tips on how to implement a voice agent in your business.

What is an AI voice agent?

An AI voice agent is a two-way conversational tool that communicates with the customer. It automates inbound and outbound calls without human intervention and transfers calls to a human agent when needed.

The biggest advantage? Callers can navigate an IVR by speaking naturally, without listening to long, complex menus or pressing numbers on a keypad.

Popular AI voice agent examples include Apple's Siri, Google Assistant, and Amazon's Alexa. These tools simplify interactions, provide instant answers, and automate tasks. In contrast, advanced bots like IBM’s Watson Assistant and Microsoft’s Cortana handle customer support, sales inquiries, and internal communications.

Types of AI voice agents

Here’s a breakdown of the four main types of AI voice agents and how they can benefit your business:

Rule-based AI voice agent

Rule-based voice agent use predefined sets of questions and rules to offer answers or perform tasks. Such voice agents handle routine tasks and customer FAQs. They answer all queries that fall under the if-this-then-that logic.

For example, an e-commerce site using a bot to guide customers in checking their order status or a banking site handling routine inquiries like balance checks, bill payments, transaction histories, etc.

AI-assisted voice agent

AI-assisted voice agents use machine learning and natural language to interpret conversations so they can analyze the context and grasp what the speaker means. This makes them far more capable and user-friendly than the conventional, rule-based voice agents.

Let’s suppose a user asks Alexa, 'What's the weather tomorrow?' and then follows up with, 'How about next week?' it remembers the context. This adaptability means customers don’t have to repeat themselves, creating a more contextual customer experience.

Conversational AI voice agent

Conversational voice agents make conversations using natural language. They’re more nuanced than AI-assisted voice agents as they can handle complex conversations using everyday language to create more personalized interactions.

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Google Duplex, and IBM Watson Assistant, are examples of conversational voice agents. They can make phone calls, make reservations, and handle natural conversations with a human-like tone.

Voice-activated voice agent

These bots use voice commands to answer practical questions and perform routine tasks. They are more flexible than personal voice agents that adapt to speakers and perform customized tasks.

Such bots serve as digital assistants to AI-assisted bots like Siri.

How does an AI voice agent improve customer engagement?

A customer calling your sales team wants to feel valued and understood. An AI voice agent does that. It puts the customer at the center, creating a better experience and driving business benefits as a result. Let’s understand it with a few use cases. 

Use case: Get a quick update on order status, 24/7

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Assuming the AI voice agent is integrated into your CRM, it greets the customer by name. Instead of navigating through a branched IVR to get their order status, the customer can simply say ‘order status’ and the voice bot pulls out the order details from the CRM and gives the user a real-time update within seconds.

Sheraz Ali, the Founder of HARO Links Builder states that their voice agent managed over 30% of customer interactions in one of their company projects and drastically reduced wait times.

“It also improved our response efficiency and led to a 20% increase in customer satisfaction scores and a reduction in operational costs within three months.” 

Benefits:

  • Decreased waiting time.
  • Limited IVR menu navigation.
  • No human intervention is required.
  • Quick response times.
  • Reduced business costs.
  • Tangible increase in customer satisfaction.

Use case: Improve language learning for students 

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A language learning platform uses a voice agent to provide real-time translations and personalized tutoring. So the voice agent instantly supports students in any subject by translating and clarifying complex terms in their preferred language.

Benefits:

  • Reduced requirement for multilingual staff.
  • Increases inclusivity as the bot answers in the user’s preferred language.
  • Language barriers are removed.

Use case: Improve patient outcomes in healthcare

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It's easy to miss appointments or forget to deliver prescriptions to the patient’s home timely. A healthcare service can employ a voice agent to deliver personalized care and offer preliminary health assessments, medication reminders, and easy appointment scheduling, all according to the individual patient's needs.

Benefits

  • Saves time by streamlining appointment bookings.
  • Ensures medication adherence with timely reminders.
  • Reduces workload for healthcare providers with automated support.

Use case: Streamline routine financial services 

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Once integrated with the banking system, the voice agent automates routine financial tasks, provides instant account information, processes transactions, and delivers personalized financial advice around the clock.

Benefits:

  • 24/7 access to financial services without wait times.
  • Improves customer experience with quick, accurate responses.
  • Automates routine tasks, freeing up staff for complex queries.
  • Provides personalized advice to improve financial decision-making.

Use case: Get personal shopping assistance  

Source

An e-commerce platform can use a voice agent to assist customers with product selection, provide personalized recommendations, and automate the sales process from start to finish.

Benefits:

  • Delivers a personalized shopping experience 24/7.
  • Boosts sales with customized recommendations.
  • Reduces cart abandonment by guiding customers to checkout.
  • Improves customer satisfaction with fast, accurate service.

Features of an AI voice agent

To understand why voice agents are so effective, let’s look at the key features that improve the overall customer service experience while streamlining business operations.

The best voice agents for businesses come equipped with:

Natural language understanding (NLU)

An AI voice agent understands user queries by converting speech into text using AI and NLP. It then forms an appropriate response and converts it back into speech using text-to-speech (TTS) technology. This ability to understand and respond in natural, conversational language sets AI voice agents apart from traditional IVR systems, which rely on rigid, menu-based responses.

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Personalization capabilities

Customers want quick, personalized responses to their queries, unlike complex IVR systems that frustrate them with lengthy menus. An AI voice agent offers contextual conversations, adapting to the user’s intent. It detects speech cues, skips irrelevant interactions, and also transfers calls to the right agent.

Hence, when comparing voice agents to IVRs, the bot's ability to offer personalized interactions like a human outshines communication systems that follow even the best IVR practices.

Multi-language support

AI voice agents break down language barriers, supporting multiple languages to provide a more inclusive and accessible customer experience. Businesses can easily connect with diverse customer bases across the globe.

For instance, Plivo supports speech recognition in 27 languages and their regional variants. 

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Integration with other platforms and services

AI voice agents easily integrate with platforms like customer relationship management (CRM) systems, Enterprise resource planning (ERP) tools, and ticketing software. They access and update customer data in real time to ensure accuracy.

These bots also pull relevant details, automate follow-up actions, and sync with communication channels like email or chat. This creates a personalized and consistent customer experience across all touchpoints.

Benefits of voice agents

Let’s now look at the benefits of AI voice agents.  

Enhanced user experience

Many businesses have concerns over the quality of a voice agent for customer service. However, a voice agent answers queries quickly regardless of the time of the day. Speedy, reliable answers are important to providing excellent service, making voice agents an invaluable tool for businesses looking to improve customer satisfaction.

Additionally, businesses can:

  • Handle routine queries and common tasks faster than human agents.
  • Remove the need for users to navigate complex IVR menus.
  • Manage high-volume calls without errors.

Better cost efficiency

An AI voice agent doesn’t just save time, it also saves money. It boosts user satisfaction and reduces support times by automating repetitive queries. This frees up staff for higher-value tasks, and interacting with customers after hours has improved lead conversion.

The direct benefits to businesses are:

  • Reduces the need for a larger customer support team.
  • Allows human agents to focus on complex, high-value inquiries.
  • Engages users outside business hours to boost marketing return on investment (ROI).
  • Lowers training costs and minimizes the risk of providing incorrect information.

Accessibility for users with disabilities

With over one billion people living with disabilities worldwide, voice agents make services more inclusive. They enable hands-free, accessible interactions, allowing customers with visual, motor, or cognitive impairments to engage with the business easily. This not only improves customer satisfaction but also broadens the company’s reach to a more diverse audience.

Data collection and analysis for improved services

Voice agents don’t just serve customers — they also gather insights. Use this data to analyze data and improve services, personalize marketing efforts, and make more informed business decisions.

24/7 availability

Unlike human agents, voice agents are always accessible. They ensure customers get help whenever they need it, contributing to a more consistent and reliable customer experience.

Future of AI voice technology

As IBM's data engineer, Chris Hay puts it, "We're entering an era where every mom-and-pop shop can have the same level of customer service as an enterprise." This statement captures the transformative potential of voice recognition technology.

AI voice chat applications benefit businesses of all sizes by delivering top-tier customer experiences. Tech giants are already paving the way. Microsoft has updated its Copilot AI with advanced voice capabilities, allowing it to handle complex queries with natural language reasoning, while Meta has introduced voice AI to its messaging apps.

AI voice assistants will move beyond smartphones, integrating into wearable devices like the recently unveiled Meta Orion augmented reality glasses. For businesses handling sensitive client relationships, this could mean smarter, empathetic bots that mirror the tone and approach of a human assistant.

Key upcoming trends:

  • Hyper-personalization: Customized voices and targeted recommendations.
  • Advanced problem-solving: Managing complex queries using natural language.
  • Real-time analytics: Analyzing customer tone for deeper insights.

Yet, challenges remain. Arvind Rongala, the founder of a skill-management solution provider, shares, “There are still issues, especially with data privacy and ensuring interactions are human-like. In addition to resolving problems with bias in training data and regulatory compliance, businesses must strike a balance between automation and personalization. For example, adhering to GDPR regarding the storage of voice data can be challenging, but doing so is essential to fostering trust.”

Ultimately, businesses need to prioritize data security, explore multi-device integration options, and develop stronger contextual understanding for natural interactions.

Launch an AI voice agent with Plivo

Any scaling business needs a voice agent that's easy to integrate, globally accessible, and cost-effective without sacrificing quality.

Plivo checks all these boxes, offering seamless integration, seven global points of presence for low-latency interactions, and competitive rates starting at just $0.0040 per minute. It's ideal for businesses willing to scale while keeping operational costs in check.

In fact, Plivo can reduce operational costs by up to 40%.

Moreover, its commitment to reliability is backed by a 99.99% uptime guarantee, with failover capabilities that switch within two seconds if any disruptions occur.

You can launch voice agents with Plivo using just a few lines of code.

  • Log in to your OpenAI Account: Secure your API key and RealTime API access.
  • Log in to your Plivo Account: Sign up and get a voice-enabled number.

With integration options for leading speech-to-text (STT) and TTS providers like Deepgram and ElevenLabs, you can launch AI voice agents in multiple regions, including India, using local numbers.

Use Plivo-powered voice agents for: 

  • Personal shopping assistance: Offer personalized recommendations, go through product selections, and close sales. 
  • Healthcare automation: Improve patient outcomes with medication reminders, and appointment scheduling, and offer preliminary health assessments.
  • Inclusivity in education: Break language barriers in learning with real-time translations and personalized tutoring across multiple subjects.
  • Routine financial services automation: Provide instant account information, personalized financial advice, transaction processing status, etc. to customers.

With a 24/7 AI voice agent, your business can handle these tasks around the clock, ensuring that customers are never left waiting. Want to improve customer experience with Plivo? Contact us today.

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Feb 16, 2026
5 mins

8 Best AI Voice Automation Platforms in 2026

e Automation Software for Sales & Support (2026) Meta Description: Explore the 8 best AI voice automation platforms in 2026. Compare enterprise-ready tools for sales, support, scheduling, and intelligent call handling.

8 Best AI Voice Automation Platforms in 2026

The era of "Press 1 for Sales" is effectively over. In 2026, customers expect immediate, intelligent conversation, and businesses that stick to rigid keypad menus are actively losing revenue.

Modern voice automation has evolved far beyond simple call routing. Today's best platforms enable you to deploy infinite agents that sound, think, and react like your top employees, handling complex sales objections, scheduling appointments, and resolving support tickets without a human ever picking up the phone.

But with hundreds of new tools flooding the market, finding one that actually delivers low latency and stability is a challenge. We have analyzed the top contenders to bring you the 8 platforms that are truly enterprise-ready.

Here is the list.

How to select the best AI voice automation platforms

To ensure this list serves both technical engineering teams and non-technical business owners, we evaluated eight platforms based on four critical performance metrics:

  • Latency & Human-Likeness: We prioritized platforms that minimize the "awkward pause" (sub-1000ms response times) and offer voices that capture human nuance, including the ability to handle interruptions and "barge-ins" naturally.
  • Integration Capabilities: A voice agent is only as good as the data it can access. We selected tools that offer deep, native integrations with major CRMs (HubSpot, Salesforce) or robust APIs that allow the agent to trigger complex backend actions.
  • Reliability at Scale: We looked for infrastructure capable of handling hundreds of concurrent calls without degrading audio quality or crashing, ensuring stability for high-volume campaigns.
  • Flexibility (Code vs. No-Code): We purposefully included a mix of "developer-first" APIs (for maximum control) and "no-code" visual builders (for rapid deployment) to cater to different organizational needs.

Also Read: AI Voice Agents-The Complete Guide to Voice Chat

A Quick Overview of the Best AI Voice Automation Platforms

Tool Best for What it does best Key strengths Pricing
Plivo Businesses needing reliable AI phone calls at any scale Automates real customer phone conversations across voice, SMS, and WhatsApp Owns its full telephony stack for ultra-low latency and 99.99% uptime Pay-as-you-go; Enterprise from ~$1,000/month
Bland AI Enterprises running very high call volumes Handles massive inbound and outbound call campaigns Scales concurrent calls with highly programmable logic Custom pricing (contact sales)
Vapi Developers building custom voice agents with BYOK Orchestrates STT, LLMs, and TTS with extremely low latency Model-agnostic, developer-first infrastructure Usage-based, $10 free credit
Retell AI Developers turning LLMs into voice agents fast Converts existing LLMs into real-time phone agents Industry-leading latency with minimal VoIP setup Pay-as-you-go; Enterprise available
Synthflow Agencies and non-technical teams Builds appointment booking and lead intake agents without code Visual builder with deep CRM integrations Pay-as-you-go; Enterprise tier
Poly AI Large consumer brands with complex calls Handles messy, interrupt-driven customer conversations Best-in-class speech understanding for accents and noise Custom enterprise pricing
Cognigy Enterprises with regulated contact centers Automates complex support flows with compliance controls Hybrid NLU + GenAI for safe automation Custom enterprise pricing
Talkie AI Healthcare clinics and medical offices

Top 8 AI Voice Automation Platforms

Plivo

Best for: Businesses that need to automate actual customer phone calls with high reliability and low latency, scaling from simple no-code workflows to complex, programmable enterprise solutions.

Plivo is a voice-first AI agent and cloud communications platform that distinguishes itself by owning and operating its entire telephony, messaging, and AI stack. Unlike many tools that rely on third-party carriers like Twilio, Plivo's single-stack approach significantly reduces latency and improves reliability, boasting 99.99% uptime and compliance with standards like HIPAA, GDPR, and PCI DSS. Small businesses can start quickly with its no-code builder, "Vibe," using plain English instructions, while enterprises can leverage powerful programmable APIs to build complex, multi-channel workflows that share context across voice, SMS, and WhatsApp without ever switching platforms.

Key features

  • Built-In Telephony: Native phone numbers, global connectivity, and SIP trunking without dependence on external carriers.
  • Real-Time Audio Streaming: Streams live call audio via WebSockets for low-latency speech recognition and natural turn-taking.
  • Multi-Channel AI Conversations: Extends agent logic and context across voice, SMS, and WhatsApp for consistent interactions.
  • No-Code AI Agent Builder (Vibe): Allows users to create and deploy voice agents by defining goals and workflows in plain English.
  • Programmable APIs & Integrations: Full control over workflows with well-documented APIs and webhooks to connect with CRMs and internal systems.

Pros

  • Reduced Latency: Owning the telephony infrastructure eliminates hops to third-party carriers, ensuring faster response times.
  • Production-Grade Reliability: Trusted by Fortune 500 companies with a 99.99% uptime guarantee.
  • Seamless Scalability: Start with a small no-code workflow and scale to a fully programmable production system without rebuilding.

Cons

  • Overkill for Basic Needs: Not ideal for businesses that only require a simple IVR or voicemail system with no AI logic.
  • Configuration Required: Not suited for users seeking a pre-scripted, vertical-specific agent with zero configuration.

Pricing

Plivo offers pay-as-you-go pricing on our Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.

Bland AI

Best for: Hyper-scalable, enterprise-grade automated phone calls and voice agent workflows where large call volumes and deep customization matter most.

Bland AI is a voice automation platform focused on handling both inbound and outbound phone interactions using realistic conversational AI. Built with enterprise needs in mind, it provides programmable call flows, voice synthesis, and integration hooks that let teams automate complex telephony use cases, such as sales outreach, customer support, appointment reminders, and high-volume engagement, without relying on large human call center teams.

Key features

  • Realistic, human-like voice agents capable of sustaining natural phone conversations.
  • Developer-first APIs and webhook access for custom call logic and integration with CRM/telephony systems.
  • Support for high concurrency and massive call volume automation.
  • Voice cloning and multilingual voice customization options.
  • Pathways or programmable conversation flows to define logic, routing, and call outcomes.

Pros

  • Handles large call volumes reliably without degradation
  • Strong customization through APIs and programmable logic
  • Voice quality is more natural than many competitors

Cons 

  • Steep learning curve for non-technical teams
  • Costs can escalate quickly with high usage

Pricing 

Bland AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Vapi

Best for:  Developers who want a low-latency orchestration layer to mix and match the best AI models (BYOK) for their specific needs.

Vapi is a dedicated infrastructure that glues together various AI components rather than offering a single black-box solution. It handles the difficult mechanics of voice conversation, such as turn-taking, endpointing (knowing when someone has finished speaking), and latency optimization, while allowing you to plug in any provider you want. This means you aren't locked into a specific voice model; you can use Deepgram for transcription, OpenAI for intelligence, and ElevenLabs for speech, all orchestrated seamlessly by Vapi.

Key features

  • Developer APIs and SDKs for full workflow control
  • Real-time voice orchestration with low latency (sub-600 ms)
  • Plug-and-play with multiple STT, LLM, and TTS providers
  • Support for inbound and outbound voice agents via telephony or web embeds
  • Multilingual support and customizable conversation logic

Pros

  • Allows instant swapping of LLMs, voices, or transcribers as better models hit the market
  • "Bring Your Own Key" model avoids the usage markups typical of all-in-one platforms
  • Clean, modern API with excellent documentation tailored specifically for software engineers

Cons 

  • Not beginner-friendly or no-code
  • Costs increase as external services scale

Pricing

Usage-based, pay-as-you-go pricing with a free $10 credit, plus custom enterprise plans via annual contract.

Retell AI

Best for: Developers seeking the fastest route to convert an existing LLM into a low-latency voice agent.

Retell AI is an AI voice agent platform that lets businesses build, deploy, and manage conversational phone agents that sound human, handle inbound/outbound calls, and automate routine workflows with low latency and high reliability. It combines speech-to-text, LLM intelligence, and telephony integration into a unified system for customer service, lead qualification, scheduling, and more.

Key features

  • Connects to any custom LLM backend (OpenAI, Anthropic) via WebSocket
  • Visual dashboard for testing prompts and voices without code
  • Built-in noise cancellation for clear audio transcription
  • Supports both phone numbers and web-based audio streaming
  • Detailed post-call analytics including latency breakdowns

Pros

  • Visual playground enables testing ideas in minutes
  • Industry-leading latency (often <800ms) for natural pacing
  • Removes the need to build complex VoIP infrastructure

Cons 

  • Complex logic requires hosting and managing your own server
  • Creates a dependency on their proprietary gateway

Pricing

No platform fees with pay-as-you-go usage pricing, plus a custom enterprise plan for high-volume teams.

Synthflow

Best for: Agencies and non-technical teams who need a no-code visual builder to automate appointment setting and lead intake.

Synthflow AI is a voice automation platform designed to help businesses automate inbound and outbound phone interactions using intuitive visual builders and enterprise-grade telephony. It combines speech recognition, natural language understanding, and human-like voice synthesis to create AI agents capable of handling real customer conversations at scale.

Key features

  • Visual drag-and-drop flow builder for designing conversation paths
  • Native deep integrations with GoHighLevel, HubSpot, and Zapier
  • One-click appointment booking and real-time calendar syncing
  • White-labeling capabilities allowing agencies to resell the software
  • Pre-built templates for niche industries like real estate and dental

Pros

  • Enables rapid deployment of functional agents without any coding knowledge
  • Seamlessly automates post-call tasks like updating lead status in CRMs
  • Agency-focused features simplify client management and resale
  • Huge library of templates drastically reduces setup time

Cons 

  • Lacks the granular control and flexibility of code-based solutions
  • Customizing complex backend logic beyond standard integrations is difficult

Pricing

Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.

Poly AI

Best for: Large consumer brands (restaurants, hospitality, banking) needing human-like voice assistants that handle messy, complex conversations.

PolyAI distinguishes itself by building voice assistants designed for "customer-led" conversations—meaning the caller can speak freely, interrupt, tell stories, or mumble, and the AI will still understand. Unlike developer-focused tools (like Vapi) or sales-focused tools (like Air.ai), PolyAI is a managed enterprise solution. They use proprietary speech recognition models trained specifically on billions of seconds of conversational data to handle heavy accents and background noise better than off-the-shelf models.

Key features

  • Proprietary speech recognition tuned for names, addresses, and noisy backgrounds
  • Enables free-flowing, customer-led conversations without rigid IVR menus
  • Detects frustration to trigger seamless handoffs with full context
  • Native support for 120+ languages and accents in a single assistant
  • Pre-built voice modules for hospitality, banking, and dining

Pros

  • Handles interruptions and messy speech significantly better than competitors
  • Resolves 80-90% of calls autonomously due to superior understanding
  • Managed service model eliminates hallucination risks for enterprise brands

Cons 

  • High cost makes it unsuitable for small businesses or startups
  • Closed "black box" system requiring their team for all changes

Pricing

Poly AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Cognigy

Best for: Large enterprises automating complex contact centers with a mix of precise NLU and Generative AI.

Cognigy is an enterprise-grade platform designed to sit directly on top of existing contact center infrastructure (like Genesys or Avaya). It distinguishes itself with a "Hybrid AI" approach, allowing businesses to combine rigid NLU for compliance-heavy tasks (like payments) with Generative AI for natural conversation. This ensures high-stakes customer service interactions are both fluid and strictly controlled.

Key features

  • Visual low-code flow editor for designing complex conversational logic
  • Native integration with major CCaaS platforms (Genesys, Avaya, NICE)
  • Hybrid engine combining traditional NLU with Large Language Models
  • Seamless "Agent Handover" that transfers full call context to human reps
  • Enterprise-grade security and compliance certifications (GDPR, SOC2)

Pros

  • Safely automates highly regulated enterprise processes
  • Preserves context perfectly when transferring calls to humans
  • Deep integrations with backend systems like SAP and Salesforce
  • Scales effectively to handle massive enterprise call volumes

Cons 

  • Implementation is complex and often requires professional services
  • Pricing and architecture are overkill for SMEs or simple use cases

Pricing

Cognigy does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Talkie AI

Best for: Medical clinics and healthcare providers automating patient scheduling and front-desk triage.

Talkie.ai specializes in voice assistants for the healthcare industry, serving as an intelligent virtual receptionist that handles high call volumes without human intervention. The platform focuses on simplifying patient access by autonomously managing appointment bookings, prescription refills, and routing urgent calls, while offering a user-friendly interface for non-technical staff to manage flows.

Key features

  • Specialized modules for appointment booking and patient triage
  • No-code visual builder for designing conversation scripts
  • Seamless handover to live agents for complex medical queries
  • Multi-language support to serve diverse patient populations
  • Integrations with medical scheduling systems and calendars

Pros

  • Drastically reduces front-desk workload and missed patient calls
  • Pre-trained on healthcare scenarios for better medical context understanding
  • Rapid deployment compared to general-purpose enterprise voice tools
  • Ensures 24/7 availability for patient inquiries

Cons 

  • Heavily optimized for healthcare, making it less ideal for general retail sales
  • Advanced custom integrations usually require enterprise-tier setups

Pricing

Talkie AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

How to choose an AI voice automation platform for your business

Choosing the right AI voice automation platform comes down to understanding how it will fit into your team, your workflows, and your growth plans. These questions will help you evaluate options in a practical, business-focused way.

1. Will your team need a no-code tool or a developer-first platform?

This matters because the people building and maintaining the system determine how quickly you can launch and improve it. If your team is non-technical, a no-code platform lets you move faster. If you have engineers and need deep customization, a developer-first tool gives you more flexibility long term.

2. How many calls do you need to support now and as you grow?

Call volume affects both cost and performance. A platform that works well at a small scale may become expensive or unreliable as usage increases, so it is important to choose something that can grow with your business without surprises.

3. How complex do your conversations and workflows need to be?

Some businesses only need straightforward call flows, while others require integrations, branching logic, or real-time actions. The more complex your workflows are, the more important it is to choose a platform that can handle real conversations rather than rigid scripts.

4. How important are voice quality and response speed for your use case?

Natural speech and quick responses make a big difference in how callers perceive the experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales or support.

5. Does the pricing model align with how you plan to use the platform?

Pricing structures vary widely between platforms. Understanding whether you are paying per minute, per call, or per feature helps you estimate costs accurately and avoid unexpected increases as your usage grows.

Try Plivo Free

Exploring AI voice automation should feel straightforward and low-risk. Plivo lets you start with a free trial and complimentary credits so you can test real voice automation use cases without any upfront commitment.

You can create and run AI-driven phone calls using Plivo’s visual tools or APIs, allowing you to see how automated voice interactions behave in real conditions. This includes testing inbound call handling, outbound call flows, and multi-channel automation across voice, SMS, and WhatsApp, all using your own workflows and data.

Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt AI voice automation across your business.

Start your free trial and build your first AI voice automation experience today.

Feb 16, 2026
5 mins

8 Best AI Voice Agents for Recruitment in 2026

Discover the 8 best AI voice agents for recruitment in 2026. Compare features, use cases, and pricing to automate candidate screening and hiring.

8 Best AI Voice Agents for Recruitment in 2026

Recruitment teams don’t struggle because they lack applicants. They struggle because every job post brings in hundreds of responses, many of them unqualified, and screening them all takes time recruiters don’t have.

AI voice agents help by handling the repetitive, early-stage conversations - screening candidates over the phone, asking the right questions, and routing qualified applicants forward - so recruiters can focus on real hiring decisions.

In this guide, we’ve curated the top AI voice agents for recruitment, based on what actually matters. Let’s begin.

A Quick Overview of the Top AI Voice Agents for Recruitment

Tool Best for What it does best Key strength Pricing
Plivo Recruitment teams that want to run real AI voice agents on actual phone calls End-to-end AI voice agents built on native telephony Owns telephony + AI stack, low latency, high reliability Pay-as-you-go (Professional); Enterprise starts at $1,000/month
Lindy Lean recruiting teams that want fast AI voice automation Voice agents for calls, follow-ups, and scheduling Quick setup, strong for coordination tasks Free tier available; paid plans from $49.99/month
Twilio Engineering-led teams building custom AI voice recruiters Programmable voice infrastructure Maximum flexibility and global scale Usage-based, approx. $0.008–$0.014/min
HeyMilo Staffing teams running large-scale AI interviews AI-led voice interviews with scoring Scalable, structured screening Custom pricing (sales-led)
Synthflow HR teams wanting no-code AI voice workflows Build custom voice agents visually No-code flexibility, modular flows Pay-as-you-go; Enterprise for high volume
CloudTalk Teams needing a calling platform with AI automation AI voice agents + call center tooling Strong dialing, analytics, global coverage From $25/user/month (annual billing)
Talvin Teams focused on screening and reference checks AI voice interviews + automated references Structured, qualification-first hiring $175–$750/month
Voiceflow Product-led teams that want to design and control AI voice logic Build AI agents using knowledge bases and workflows Strong conversation design and collaboration Free plan; paid from $60–$150/month

Top 8 AI Voice Agents for Recruitment

Plivo

Best for: Recruitment teams and hiring platforms that want to run real AI voice agents on actual phone calls, not demos or chat-only experiences.

Plivo is a voice-first AI agent and cloud communications platform built to automate real phone conversations at scale. Unlike many AI voice tools that depend on external telephony providers, Plivo owns and operates its telephony, messaging, and AI layers as a single stack. This gives teams more consistent call quality, lower latency, and better reliability as volume increases.

For recruitment use cases, this matters because screening calls, qualification conversations, and candidate follow-ups need to work predictably. Teams can start quickly using Plivo’s no-code AI agent builder, Vibe, and then add deeper programmable control through APIs as workflows grow more complex, without switching platforms.

Plivo is trusted by Fortune 500 companies worldwide, delivers 99.99% uptime, and complies with standards such as HIPAA, GDPR, SOC 2, PCI DSS, and STAR, making it suitable for high-volume and regulated hiring environments.

Key features

  • Build AI voice agents on real phone calls: Plivo lets teams build AI agents that answer, route, qualify, and complete conversations on inbound and outbound phone calls using its native voice infrastructure.
  • No-code AI agent builder (Vibe): Vibe allows teams to create and deploy AI voice agents using plain-English instructions. Recruiters can define goals, workflows, and actions without writing code, then iterate as hiring needs evolve.
  • Built-in telephony (not third-party): Phone numbers, global connectivity, call routing, recording, and SIP trunking are native to Plivo. This avoids reliance on external carriers and helps maintain low latency and high uptime.
  • Real-time audio streaming: Plivo streams live call audio over WebSockets to AI runtimes, enabling low-latency speech recognition and responses, natural turn-taking, and interruption handling during conversations.
  • Programmable voice and messaging APIs: Well-documented APIs and SDKs give teams full control over calls, messages, verification, number masking, and workflows, making it easy to integrate AI agents with ATSs, CRMs, and internal systems.
  • Multi-channel AI conversations: The same agent logic can run across voice, SMS, WhatsApp, and chat, with shared context across channels so candidates do not have to repeat themselves.

Pros 

  • Reliable performance at scale: Users consistently cite stability and uptime, even with high call volumes.
  • Strong telephony control: Teams value having direct ownership of routing, numbers, and call behavior.
  • Flexible for both no-code and API users: Works well for recruiters and engineering teams alike.

Cons

  • More capability than very simple use cases require: Smaller teams may not use the full platform depth.
  • Advanced workflows benefit from upfront planning: Complex agent logic requires thoughtful setup. 

Pricing

Plivo offers pay-as-you-go pricing on the Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.

Lindy 

Best for: Recruiting teams that want a flexible, AI voice agent to handle candidate calls, follow-ups, and interview scheduling without heavy engineering work.

Lindy is an AI agent platform that lets recruiters deploy voice-enabled AI assistants to manage candidate communication across phone calls, calendars, and workflows. Rather than being a pure telecom infrastructure provider, Lindy focuses on task-oriented AI agents that can talk to candidates, coordinate schedules, and take action across tools like email and calendars. This makes it especially useful for lean recruiting teams that want automation without building everything from scratch.

Key features

  • Place and receive natural-sounding phone calls with candidates for screening, follow-ups, and confirmations
  • Coordinates availability and books interviews directly on connected calendars
  • AI agents can call candidates, send emails, update records, and trigger next steps automatically
  • Connects with calendars, email, and internal tools to keep recruiting workflows in sync
  • Escalates conversations to a recruiter when the AI detects uncertainty or complex questions

Pros

  • Recruiters can launch AI voice workflows without deep technical setup
  • Especially effective for scheduling, rescheduling, and candidate follow-ups
  • Can reason across steps instead of just asking static screening questions

Cons

  • Lacks deep hiring metrics or ATS-native reporting
  • Less granular call routing and voice infrastructure control than CPaaS platforms 

Pricing

Lindy offers a free plan with 400 credits per month. Paid plans start at $49.99 per month.

Twilio 

Best for: Engineering-led recruiting teams that want to build highly customizable AI voice agents on top of enterprise-grade voice and messaging infrastructure.

Twilio is a cloud communications platform that provides programmable APIs for voice calls, SMS, and messaging. In recruitment, it’s often used as the underlying infrastructure for AI voice agents that handle candidate screening calls, interview scheduling, reminders, and follow-ups. Rather than offering ready-made recruiting agents, Twilio gives teams the building blocks to design custom voice workflows tailored to their hiring process.

Key features

  • Twilio lets you design exactly how calls are placed, routed, recorded, and escalated, giving full control over the candidate calling experience.
  • Built-in support for international phone numbers, SMS, and voice delivery makes it suitable for distributed or global hiring.
  • Twilio integrates cleanly with speech-to-text, text-to-speech, and large language models to power conversational AI agents.
  • Voice events can trigger downstream actions in ATSs, CRMs, calendars, or internal systems.

Pros

  • You’re not constrained by predefined workflows—every part of the voice experience can be tailored to your hiring process.
  • Designed to handle high call volumes with strong uptime and telecom stability.
  • Suitable for advanced or global recruiting operations where off-the-shelf tools fall short.

Cons

  • Building an AI voice recruiter with Twilio requires technical resources and ongoing development.
  • As call volume and automation increase, usage-based pricing can become expensive.

Pricing

Usage-based, pay-as-you-go pricing starting at roughly $0.008–$0.014 per minute for voice calls, with additional costs for phone numbers and advanced features.

HeyMilo

Best for: Recruiters and staffing teams that want AI-powered voice interviews and automated candidate screening at scale. 

HeyMilo is a recruitment platform built around conversational AI voice and multimedia interviewing, designed to automate candidate engagement, screening, evaluation, and structured interviews. Instead of just asking preset questions, HeyMilo’s AI adapts dynamically to candidate responses and delivers data-backed insights tailored to each role. 

Key features

  • Natural two-way spoken interviews that adapt to candidate responses and assess fit.
  • Contacts applicants via phone, web voice/video, SMS, email, and WhatsApp.
  • Provides structured interview reports and scoring to inform hiring decisions.
  • Works with existing applicant tracking and HR systems to sync data.
  • Enables interviews and outreach in multiple languages for global recruiting.

Pros

  • Can conduct hundreds of interviews simultaneously, easing burden on recruiters. 
  • Automated scoring and structured interviews help reduce manual variation. 

Cons

  • AI may struggle with very open-ended or highly contextual responses that a human interviewer would catch. 
  • Teams need to configure questions and scoring to fit specific roles and workflows. 

Pricing

HeyMilo does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Synthflow

Best for: HR departments at mid-sized companies looking to automate interview scheduling and FAQ handling.

Synthflow is a no-code conversational AI platform that lets users design, launch, and manage AI voice agents to automate phone interactions. Rather than providing a ready-made recruiter bot, Synthflow gives teams a visual builder where they can create custom voice workflows. It emphasizes flexibility and usability, making it suitable for recruiting teams that want to own their own voice agent logic without writing code.

Key features

  • You can design modular voice flows with a no-code builder where specialized "subflows" act as independent agents to manage complex logic, such as a "Verification Agent" for candidate ID or an "Appointment Agent" for booking interviews.
  • Provides enterprise-grade telephony integrations to ensure reliable inbound and outbound calling.
  • A dedicated environment to test recruitment scripts and agent responses before they go live with real candidates.
  • Offers live insights into active calls, allowing recruitment managers to track performance and candidate engagement as it happens.
  • Allows for the refinement of the AI’s underlying data to ensure the recruiter's brand voice and industry-specific terminology are accurate.

Pros

  • Teams can build and iterate voice agents without engineering resources.
  • Works for screening, candidate engagement, follow-ups, and scheduling.
  • Built to manage higher call volumes as hiring needs grow.

Cons

  • Requires manual building of hiring-focused flows and templates.
  • Deep conversational logic and integration workflows benefit from thoughtful design and testing.

Pricing

Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.

CloudTalk

Best for: Teams that need a cloud-based calling platform with AI voice agents and automation.

CloudTalk is a cloud call center platform that combines VoIP calling with AI-powered automation and voice agents. While it’s not built exclusively for recruitment, its AI voice agents, smart dialers, and call routing features make it well-suited for hiring teams that rely heavily on phone communication. Recruiters can use CloudTalk to automate outbound candidate calls, handle inbound inquiries, and track call performance through built-in analytics and conversation intelligence.

Key features

  • Virtual voice agents that can autonomously answer and place calls, handle routine interactions, and support self-serve caller experiences. 
  • Dialers, automated routing, IVR menus, and parallel dialing to manage large outbound and inbound call volumes. 
  • Local numbers in 160+ countries with VoIP calling, SMS, and messaging options. 
  • Connects with CRMs, helpdesks, and workflow systems for synced activity and inbox-to-call continuity.

Pros

  • Combines calling, campaign automation, and AI workflows in a single system. 
  • Support for international numbers and multi-region operations. 
  • Built-in conversation intelligence and analytics help teams understand patterns and coach more effectively. 

Cons

  • It’s primarily a call center and sales/support voice platform, so recruiters may need extra configuration for hiring use cases. 
  • Broad call center capabilities can overwhelm teams only seeking simple voice agent recruiting tools.

Pricing

CloudTalk offers user-based subscription plans for its core calling platform, starting at $25 per user/month when billed annually, with higher tiers adding advanced features like analytics and automation.

Talvin 

Best for: Hiring teams that want an AI voice recruiter focused on structured screening and automated reference checks, not just interview scheduling or call automation.

Talvin is an AI recruitment platform built around voice-based candidate screening and reference checks. Its AI conducts structured, conversational interviews over voice to assess communication, experience, and role fit, then follows up with automated reference calls to gather standardized feedback. Talvin is positioned less as a general-purpose voice agent and more as a screening and validation layer that helps recruiters qualify candidates before human interviews. 

Key features

  • Talvin conducts structured phone interviews to assess candidate fit early, so recruiters aren’t reviewing unqualified applicants.
  • Instead of manual follow-ups, Talvin collects reference feedback automatically and delivers it in a standardized format.
  • Interview questions and scoring are tailored to each role, keeping evaluations consistent across candidates.
  • Recruiters receive clear interview and reference reports rather than raw call recordings.

Pros

  • Designed specifically to screen and validate candidates, not just move them through a funnel.
  • Eliminates one of the most time-consuming and error-prone steps in hiring.
  • Standardized interviews and references make it easier to compare candidates objectively.

Cons

  • Not intended for outreach campaigns, scheduling-only workflows, or high-volume dialing.
  • Often paired with an ATS or sourcing platform rather than used end-to-end.

Pricing

Talvin’s plans start at $175/month and scale up to $750/month, based on interview volume and hiring needs.

VoiceFlow

Best for: Product-led recruiting teams that want to design and control the logic of AI voice conversations before deploying them on phone calls.

Voiceflow is a collaborative platform where teams design, develop, and launch AI agents using their preferred models and integrations. In practice, you build an agent by first creating a knowledge base, then adding workflows that define what the agent should do, integrating third-party tools through APIs, and finally launching the agent through Voiceflow’s web chat UI or the Dialog API.

For recruitment, this is useful when you want an agent that can answer candidate questions, guide screening conversations, and trigger workflow steps like collecting details, confirming availability, or handing off to a human, all while staying consistent with your hiring process.

Key features

  • Import documents and data so the agent answers using curated, controlled information rather than guessing.
  • Create multi-step tasks the agent can complete, so conversations can lead to actions, not just responses.
  • Connect the agent to third-party services using Voiceflow Functions and API blocks.
  • Deploy using Voiceflow’s web chat UI or build your own interface using the Dialog API.
  • Designed for teams to build and iterate together, rather than working in isolated scripts.

Pros 

  • Strong control over how screening and interview conversations are structured.
  • Teams can refine conversations without touching telephony systems.
  • Recruiters, designers, and product teams can work together on flows.

Cons 

  • Requires a telephony platform to place and receive calls.
  • Teams must design screening logic from scratch.

Pricing 

Voiceflow offers a free Starter plan, with paid plans starting at $60/month (Pro) and $150/month (Business), while Enterprise pricing is custom for high-volume teams.

Questions to ask before choosing an AI voice agent for recruitment

1. Who actually owns the calling infrastructure?

When evaluating an AI voice agent, one of the first things to understand is how calls are handled behind the scenes. Some platforms rely heavily on third-party telephony providers, while others manage their own calling infrastructure more directly.

This distinction matters because it affects call quality, routing control, and reliability as usage grows. Tools with tighter control over their telephony stack tend to behave more predictably, especially when call volume increases or issues need to be diagnosed quickly.

2. Does the agent respond quickly enough to feel natural?

Voice conversations depend on timing. Even small delays between a candidate’s response and the agent’s reply can make the interaction feel uncomfortable or disjointed.

A well-designed AI voice agent should respond promptly and consistently throughout the conversation. This usually reflects how well speech recognition, language processing, and voice generation work together in real time. If responses feel slow or uneven during a demo, that friction will likely show up even more in real recruiting scenarios.

3. Is the product actually designed for recruitment conversations?

Recruitment is not a generic use case. Screening candidates requires structured questions, follow-ups based on previous answers, and clear decision points about what happens next.

Some voice agents are flexible but require significant customization to support hiring workflows. Others are built with recruitment logic in mind from the start. The difference shows up in how easily the agent can handle screening, availability checks, and smooth handoffs to human recruiters.

4. How does it handle things going off script?

Real conversations are rarely perfect. Candidates interrupt, misunderstand questions, or give incomplete answers.

An effective AI voice agent should be able to handle these moments without breaking the experience. This includes asking for clarification, continuing the conversation naturally, or exiting gracefully when needed. Systems that cannot manage these situations tend to feel fragile in real-world use.

5. Will it still work when hiring volume increases?

Hiring needs fluctuate. A tool that performs well for a small number of calls may struggle when activity ramps up.

It is important to understand how the platform behaves under higher load, both technically and operationally. This includes call quality, reliability, and whether usage scales in a predictable way. A system that handles growth smoothly allows recruiting teams to expand outreach without introducing new problems.

Try Plivo free

Getting started with AI voice agents for recruitment doesn’t need to be complicated or risky. With Plivo, you can sign up for a free trial account and get free credits to test real AI-powered phone calls, without committing upfront or changing your existing hiring workflows.

You can experiment with live screening calls, candidate follow-ups, and interview coordination using Plivo’s no-code tools or APIs. This lets you simulate real recruiting scenarios with your own data and logic before deciding how deeply you want to scale automation across voice, SMS, and WhatsApp.

Get started with your free trial today and begin building your first AI voice agent for recruitment.

FAQs

What is an AI voice agent in recruitment?

An AI voice agent is a system that conducts phone conversations with candidates to handle tasks like screening, availability checks, and interview scheduling.

Can AI voice agents replace recruiters?

No. They are designed to support recruiters by automating repetitive early-stage tasks, not to replace human decision-making.

Are AI voice agents reliable for candidate screening?

They work well for structured, rule-based screening, but nuanced evaluation and final decisions should still be handled by humans.

What should companies look for when choosing an AI voice agent?

Key factors include call quality, response speed, recruitment-specific workflows, and the ability to scale reliably with hiring volume.

Feb 16, 2026
5 mins

Best AI Voice Agents for E-commerce (2026): Top Platforms Compared

Compare the best AI voice agents for e-commerce in 2026. See which platforms handle real calls, integrate with your stack and scale reliably.

Best AI Voice Agents for E-commerce (2026): 

Top Platforms Compared

E-commerce brands don’t lose customers because of poor products, they lose them because conversations aren’t fast enough. Buyers now expect real-time assistance for order status, delivery issues, returns and payments, often beyond business hours. 

That’s where AI voice agents help. Unlike IVRs or basic bots, modern voice agents can understand natural speech and intent, answer calls instantly, pull order data from your systems, resolve common issues and hand off to humans when needed. For e-commerce teams, this means fewer missed calls, lower support costs, and faster resolution.

This list has analysed the best AI voice agents for e-commerce in 2026, focusing on how they actually perform in production, what role they play in your stack and which types of teams they truly fit.

Platform Comparison

Top 10 AI voice agents for E-commerce (2026)

Platform Voice Handling Telephony Ownership E-commerce Integrations Multi-Channel Continuity Production Readiness
Plivo Real-time inbound & outbound Native Native + API-driven Voice, SMS, WhatsApp, chat High (built for scale)
Aircall Inbound & outbound calls Native (cloud phone system) Strong CRM/helpdesk Voice + limited messaging High
Dialpad AI Human calls with AI assist Native CRM-focused Voice-centric High
Voiceflow Voice via integrations Integrated (Twilio/Vonage) API-based Voice + chat Medium
Cognigy Enterprise contact-center voice Integrated (CCaaS partners) Enterprise systems Voice + digital channels High
Talkdesk Contact-center voice automation Native (CCaaS) Retail CX tools Voice + digital channels High
Five9 IVA IVA layered on CCaaS Native (CCaaS) Enterprise CRM Voice-first High
Kore.ai Conversational AI platform Integrated Broad enterprise Voice + chat Medium
Replicant Autonomous inbound voice Integrated Limited e-commerce depth Voice-only Medium
Ada Chat-first, voice expanding Integrated E-commerce helpdesk Chat + emerging voice Medium

Plivo

Primary Role in Your E-commerce Stack

  • Acts as a backbone for customer-facing automation across order status, delivery issues, returns, COD confirmations and payment follow-ups.
  • Replaces basic IVRs and overflow call handling with actual AI-driven conversations that feel natural and can resolve issues or escalate intelligently.
  • Serves as an AI voice agent platform and a communications layer, not just a pre-programmed bot or a basic call tool. 

How It Works in Practice

  • Runs on native, carrier-grade telephony not dependent on third-party calling plugins, thus reducing latency and call failures.
  • Supports real-time inbound and outbound voice, including barge-in, transfers, call recording and queueing.
  • Lets you build custom voice agents using no-code instructions (Vibe) or programmatically via Voice, SMS and WhatsApp APIs.
  • Handles multi-channel engagement from one platform, making it easier to maintain customer context.
  • Integrates into backend systems via webhooks and APIs, so agents can fetch order data, update CRMs, trigger refunds or log tickets.
  • Scales globally with direct carrier connectivity and 99.99% uptime, which matters during sales spikes and seasonal traffic.
  • Offers easy integrations with CRMs and data tools and e-com apps like Shopify and WooCommerce.

Smart choice if you

  • Need reliable, real-time voice automation for customer support or sales in e-commerce.
  • Need HIPAA, GDPR, PCI DSS, SOC 2 compliance.
  • Want to avoid handling different telephony, AI and messaging vendors.
  • Expect call volume spikes during promotions, launches or holidays.
  • Plan to expand beyond voice into SMS or WhatsApp without changing platforms.

Not a fit if you

  • Only want a simple chatbot or basic call routing with no backend logic.
  • Need a fully packaged, zero-configuration voice bot with no customization.
  • Don’t plan to use voice as a serious support or revenue channel.
  • Want built-in analytics dashboards without integrating your own reporting tools.

Aircall

Primary Role in Your E-commerce Stack

  • Aircall is a cloud-based business phone and customer communications platform that encapsulates voice calls, messaging, contact-center workflows and AI-powered tools to help sales and support teams manage inbound and outbound customer conversations from a single hub.
  • Designed to replace traditional desk phones and stand-alone VoIP systems with a modern unified system that supports direct calling, routing, conferencing and analytics without infrastructure.
  • Aircall’s AI Voice Agent sits within the platform to automate basic call handling, answer inbound calls using natural language, capture caller details and hand off to humans with customer context.

How It Works in Practice

  • Its AI Voice Agent can handle inbound calls 24/7, respond using natural language, capture caller details or FAQs, and escalate with context. 
  • Aircall’s broader AI tooling (often sold as an add-on) includes call summarization, transcription, sentiment analysis, action items, key topic recognition and real-time coaching insights to boost team performance and intelligence.
  • Aircall integrates deeply with CRMs and helpdesk tools such as Salesforce, HubSpot, Zendesk, Shopify, Gorgias, Intercom, Zoho, Slack and more.
  • Supports smart call routing, IVR menus, queueing, power dialers and contextual pop-ups that help agents see caller history and reduce manual steps.
  • In addition to voice calls, Aircall can connect WhatsApp messaging with your phone numbers, allowing teams to manage calls, texts, voicemails and WhatsApp messages from one unified workspace.

Smart choice if you

  • Want a cloud phone system that replaces traditional telephones and integrates voice + messaging + CRM in one place.
  • Are an SMB or mid-market team looking for easy setup and deep CRM/helpdesk integration with real-time call logging and analytics.
  • Want AI insights such as call summaries, sentiment analysis and action items tagging to support coaching and quality.

Not a fit if you

  • Are looking for standalone, autonomous voice agents that can handle complex transactional workflows (like order lookup, 2-way payment flows, or deep e-commerce logic) without human reliance. A lot of features in Aircall are paid add ons.
  • Want carrier-grade telephony control with full low-level API access. 
  • Require multi-channel unified conversational state that seamlessly moves between voice, SMS, WhatsApp, and web chat without separate configurations. Aircall integrates channels but isn’t designed as an omnichannel conversational AI platform at the same depth as standalone bot stacks.

Dialpad AI

Primary Role in Your E-commerce Stack

  • Dialpad is an AI-enhanced unified communications and contact-center platform built on VoIP telephony that combines voice calls, messaging, meeting tools and AI insights into one app.
  • Its AI layer focuses on increasing support and sales team productivity by transcribing calls, summarizing conversations, analyzing sentiment and providing live assistance to human agents rather than purely replacing them.
  • For e-commerce teams, Dialpad helps streamline customer support calls, sales conversations and agent workflows.

How It Works in Practice

  • Dialpad’s AI layer is built into its communications platform so transcription, summaries, sentiment tagging and insights happen automatically during calls and meetings. 
  • Live coaching and assist cards support tailored guidance during conversations, helping teams improve performance and consistency.
  • Its AI Agent and Generative AI features can provide answers from integrated knowledge bases and assist with repetitive tasks like scheduling or information lookups. Although this operates within a supervised environment rather than as a fully autonomous consumer voice bot.
  • Dialpad integrates with CRMs and support systems such as Salesforce, Zendesk, and others allowing call data and AI insights to sync into broader e-commerce workflows but developers/administrators need to configure these links during setup.

Smart choice if you

  • Want a combined AI-assisted communications and contact-center platform that brings voice, meetings and messaging into a single system with powerful transcription and insights.
  • Run a support or sales team that benefits from live coaching, post-call summaries, sentiment analysis, and automated QA workflows.
  • Are okay with a human-centric workflow where AI helps agents rather than fully automates customer calls end-to-end.

Not a fit if you

  • Want a standalone autonomous voice agent that handles inbound and outbound calls entirely without human support.
  • Need native telephony automation APIs for deep programmatic control or highly customized voice bots.
  • Require multi-channel conversational continuity across voice, SMS, WhatsApp and other messaging in a single automated AI experience.

Voiceflow

Primary Role in Your E-commerce Stack

  • Voiceflow is a collaborative low-code/visual AI agent platform that helps teams build and deploy custom voice and chat agents without heavy engineering. Designed to automate customer conversations from support to transactional workflows using drag-and-drop flows and business data logic.
  • Voiceflow puts the workbench in your hands, giving you control over conversational design, logic, and integrations across channels.
  • In e-commerce, Voiceflow is often used for support hotlines, FAQ automation, lead qualification, virtual assistants and prototype voice interactions especially where you want custom behavior tied to backend systems.

How It Works in Practice

  • You design conversations using a visual workflow canvas that supports branching logic, variables and external API calls making it easier to map complex dialogues.
  • Agents can be trained on your business data like product info, order records, policies via a scalable vector database.
  • Voiceflow doesn’t host telephony itself; instead it connects through providers like Twilio or Vonage so your voice agent can receive inbound calls and make outbound calls.
  • Voiceflow supports team collaboration, shared templates and component reuse so designers and developers can iterate rapidly. 

Smart choice if you

  • Want a no-code/low-code platform to design voice and chat workflows without deep engineering.
  • Need highly customized conversational logic tied to your backend systems or data.
  • Run cross-functional teams that must collaborate on agent design and iteration quickly.
  • Plan to automate support workflows, order inquiries, FAQs or lead capture across voice and chat.

Not a fit if you

  • Need out-of-the-box telephony automation with native phone infrastructure. Voiceflow relies on third-party telephony providers.
  • Want a fully autonomous voice agent that runs on phone lines without manual integration setup.
  • Require production-ready voice performance metrics or carrier-grade latency guarantees.
  • Are focused on voice only without chat or UI context.

Cognigy

Primary Role in Your E-commerce Stack

  • Enterprise grade conversational AI platform designed to automate complex customer interactions across voice, chat and messaging by building intelligent AI agents that understand, decide and resolve user intent.
  • It’s commonly used in contact centers, service automation and omnichannel workflows where customers use multiple channels (voice, text, social) and expect consistent responses.
  • For e-commerce, Cognigy helps automate service touchpoints like support conversations, order inquiries, returns handling and FAQs with AI agents that can grasp intent and navigate conversations dynamically.

How It Works in Practice

  • Cognigy uses Generative AI, NLP and machine learning to build agents that do more than keyword matching. They can reason through dialogue, recall context and pursue goals within interactions.
  • Agents can be deployed across voice calls, chat widgets, messaging and social platforms with shared logic, enabling seamless context.
  • Cognigy supports multilingual interactions supporting 100+ languages and large concurrent loads of 25K+ interactions, making it suitable for global e-commerce brands managing peak traffic.
  • Built-in dashboards and data feeds (OData) let teams monitor performance metrics, conversation flows and optimize based on real usage.

Smart choice if you

  • Need robust omnichannel AI automation across voice, chat and messaging with shared logic.
  • Operate a large, international e-commerce operation with high volume and multilingual support requirements.
  • Want enterprise-grade integration with existing contact center systems, CRM, ticketing tools and backend APIs.
  • Have a technical team or partner to configure, train and maintain sophisticated AI workflows.

Not a fit if you

  • Need a standalone plug-and-play voice bot.
  • Your priority is simple, requiring phone-only automation.
  • You want the fastest path to production with zero customization, setup and customization of NLU, dialogs and backend connections take planning and expertise.

Talkdesk

Primary Role in Your E-commerce Stack

  • Talkdesk is a cloud contact center and customer experience automation platform that helps businesses manage and optimize customer interactions across voice, chat, SMS and digital channels from one unified system. It’s a full CX automation ecosystem with AI agents layered in for intelligent self-service and agent support.
  • The platform’s core mission is to automate customer experience workflows end to end, reducing manual work and improving resolution times while keeping context and empathy in place.
  • For e-commerce teams, Talkdesk is often used to handle support hotlines, returns calls, order inquiries, live agent augmentation and self-service using both human and AI capabilities.

How It Works in Practice

  • Talkdesk’s Autopilot and AI Agents use generative AI and conversational intelligence to automate self-service across voice and other channels 24/7. They can interpret customer intent, respond naturally and escalate when needed.
  • Built-in tools like Talkdesk Navigator help with real-time routing and prioritizing inquiries based on context and integrations with CRMs and backend systems let agents retrieve and update order or customer data during automation.
  • The platform includes call monitoring, analytics, sentiment scoring and performance insights to help teams improve support quality and train agents more effectively. 

Smart choice if you

  • Need an enterprise-grade contact center platform that blends automation with human support across channels.
  • Want AI-assisted self-service and agent augmentation rather than just basic scripted bots.
  • Run support or service teams with high call volumes where routing, analytics and quality management are key.

Not a fit if you

  • Are looking for a standalone e-commerce voice bot system. Talkdesk is primarily a contact center platform with AI layers.
  • Want simple phone automation without broader CX complexity.
  • Need lightweight plug-and-play voice bots with minimal integration work.

Five9

Primary Role in Your E-commerce Stack

  • Five9 is a cloud-based contact center platform aimed at automating and optimizing customer service interactions across voice, chat, SMS and other channels. At its core, it helps brands deliver connected, personalized experiences at scale using AI and unified CX tools.
  • Its Intelligent Virtual Agent (IVA) and AI Agents are conversational automation layers that can handle self-service interactions like routine inquiries.
  • For e-commerce, Five9 is typically used to automate order status, FAQs, returns and basic support calls, functioning as shared infrastructure for AI support rather than a standalone voice-only bot.

How It Works in Practice

  • Five9’s AI Agents and Intelligent Virtual Agent (IVA) use conversational AI and natural language understanding to automate routine interactions across voice and digital channels. 
  • AI Agents combine generative AI, NLP and conversational logic to detect intent, extract key details, tap knowledge integration and deliver customized responses reducing the need for human intervention on routine issues. 
  • Five9’s IVA builder offers no-code visual workflows and templates so non-technical teams can configure self-service paths for common scenarios like order lookup, appointment scheduling and password resets.
  • Voice quality and presentation are improved with tools like Virtual Voiceover, which can generate high-fidelity, human-sounding speech prompts on the fly, including custom branded voices. 

Smart choice if you

  • Need a cloud contact center platform that can centralize voice and digital support and automate repetitive inquiries across channels.
  • Want conversational AI that blends generative responses with scripted logic and can escalate smoothly to human agents.
  • Care about multi-modal customer journeys that span across voice, chat, SMS and rich media in a unified experience.

Not a fit if you

  • Are looking for a standalone, lightweight voice‐only AI bot that you can launch with minimal integration.
  • Want to own telephony infrastructure or programmable telephony APIs. Five9 is a packaged cloud service, not a telephony-centric CPaaS.
  • Need simple DIY voice automation for a small e-commerce team without contact center context.

Kore.ai

Primary Role in Your E-commerce Stack

  • Enterprise grade conversational AI platform designed to build, deploy and manage intelligent AI agents across voice, chat and digital channels with focus on service automation, workflow orchestration and customer support experiences.
  • It supports brand-aligned, natural voice interactions capable of understanding context, interruptions and topic changes for realistic conversations.
  • For e-commerce, Kore.ai offers Retail-focused AI solutions that help deliver 24/7 self-service, answer product and order queries and assist with purchase decisions without human agents.

How It Works in Practice

  • Agents can operate on voice calls, chat, messaging apps and contact center systems while preserving conversation context across channels.
  • The platform includes a visual AI agent builder and orchestration tools, letting both business users and developers design and manage intelligent workflows.
  • Kore.ai provides a marketplace with 200+ pre-built enterprise templates to speed up deployment and reduce development time.
  • Supports deep integrations with data sources, CRM and backend systems so agents can retrieve, update and act on real business data.

Smart choice if you

  • Want a powerful, enterprise-grade conversational platform that lets you build custom, complex voice and chat automations across channels.
  • Need deep integrations with backend systems, CRM or order management data so AI can handle conditional logic in real customer workflows.
  • Have technical resources to configure, extend and govern AI agents for complex business logic.

Not a fit if you

  • Want a prebuilt, lightweight plug-and-play AI voice bot for simple e-commerce queries with minimal integration.
  • Need standalone telephony infrastructure or a voice bot you can launch in minutes without orchestration tooling.
  • Are looking for pure voice automation without multichannel context or engineered workflows.

Replicant

Primary Role in Your E-commerce Stack

  • Replicant is an enterprise-grade conversational AI platform designed to automate routine customer interactions across voice, chat and SMS. Supports worflow in high-volume support environments where call center load is heavy and manual handling slows response times.
  • Its AI agents aim to resolve inbound customer interactions autonomously using natural language understanding and context-aware dialogue to mimic human responders.
  • For e-commerce, this means it can handle order inquiries, returns, delivery status, account questions and FAQs without human agents for the bulk of interactions, freeing up seniors for complex cases. 

How It Works in Practice

  • The platform’s “Thinking Machine” uses speech recognition (ASR), natural language understanding (NLU) and agentic reasoning to interpret and act on customer speech in real time.
  • Replicant can automatically handle inbound voice calls by listening, replying, asking for follow-ups and escalating when needed, aiming to resolve up to 80% of interactions without human intervention.
  • The platform encapsulates conversation intelligence, automated Q&A along with insights into performance, turning every conversation into actionable data to offer better service quality and AI behavior over time. 
  • Replicant projects often go from pilot to production in weeks with pre-built conversational components.

Smart choice if you

  • Need 24/7 automation of high volumes of inbound customer calls and messages with a single conversational engine.
  • Have complex support workflows including returns, order changes, delivery status, account questions and need reliable voice automation without building from scratch.
  • Operate at mid-to-enterprise scale where automation can dramatically cut handling times and want to reduce load on human agents.

Not a fit if you

  • Only need lightweight or simple automation. Businesses that want a basic interactive voice bot with minimal backend integration may find Replicant overbuilt.
  • Don’t plan to integrate with existing CRM/order systems.
  • Want an extremely cheap, no-setup-required solution.

Ada

Primary Role in Your E-commerce Stack

  • Ada is an AI customer experience platform built to automate service interactions using AI customer service agents that resolve inquiries across channels such as chat, voice, email and messaging. It’s designed as an omnichannel self-service automation platform rather than a simple scripted bot. 
  • The core platform lets brands deploy AI agents that autonomously resolve questions, reducing reliance on human agents for repetitive support and freeing up teams to focus on complex e-commerce tasks.
  • Unlike narrow chatbots, Ada’s agents are built to interpret context, manage multi-step processes and handle inquiries across multiple languages and channels.  

How It Works in Practice

  • Users can build Playbooks (guided SOPs) that instruct AI how to handle specific multi-step processes at scale and refine these based on testing and feedback.
  • Supports 50+ languages and is designed so that agents learn and improve through simulations, real-world performance analysis and optimization tools. 
  • You can simulate conversations, test variations, analyze outcomes and optimize agent behavior before and after launch, giving more control over performance outcomes.
  • Though it doesn’t have telephony-native to its own, Ada provides open APIs and backend connectors for integrating CRM, order systems and e-commerce platforms to fetch and act on real customer data during interactions.

Smart choice if you

  • Want AI customer service automation across channels with the same logic and context continuity.
  • Need to reduce support costs and handle volume spikes without scaling human teams.
  • Value multilingual support and contextual reasoning above rigid script-based replies.
  • Prefer tools with visual Playbooks and optimization workflows that don’t require deep coding.

Not a fit if you

  • Want true telephony-native voice automation. Ada typically integrates with voice channels rather than running native telephony infrastructure.
  • Are looking for a simple, lightweight voice bot with minimal configuration.
  • Need ultra-low-latency, call-centric performance guarantees.

FAQs

  1. What can an AI voice agent realistically handle today?

AI voice agents can handle order status checks, delivery updates, return/refund questions, COD confirmations, appointment scheduling, basic FAQs and call routing. Complex disputes, escalations or edge cases are recommended to move to a human agent.

  1. Do I need to replace my entire support team to use AI voice agents?

No. most teams use AI voice agents as a first line of response to handle volume and after-hours calls. Human agents step in only when needed with full context delivered from the AI conversation.

  1. How hard is it to set this up for an e-commerce business?

It depends on the platform. Some tools require stitching together telephony, bots and integrations. Others provide native voice, APIs and messaging in one system. Expect anything from a few days for basic flows to a few weeks to make deep integrations.

  1. Can AI voice agents connect to my order system or CRM?

Yes, if the platform supports APIs or native integrations. This is critical for real use cases like fetching order status, logging calls or updating tickets. Without backend access, voice agents are limited to surface-level conversations.

  1. Is voice really better than chat for e-commerce support?

Voice may not be better for everything but it’s prompt and efficient for urgent issues. Customers call when orders are delayed, payments fail or something goes wrong. AI voice agents help you answer instantly instead of losing the customer to hold music. 

The Most Practical Path to Voice Automation at Scale

Most AI voice tools look impressive in demos but struggle when real customers call at high volumes. The difference comes down to infrastructure. Platforms that rely on stitched-together telephony, bots and messaging often break under load or add operational complexity.

Plivo works because it starts at the network layer. With native telephony, global carrier connectivity across 190+ countries and AI agents that run across voice, SMS, WhatsApp and chat, it’s built for real customer conversations. You can launch fast with no-code tools, integrate deeply via APIs when needed and scale on usage-based pricing without any long-term lock-ins.

If your e-commerce team wants reliable voice automation that actually works in production, not just another tool to manage, this is the most balanced and future-proof choice going into 2026.

Try Plivo Free

Getting started with Plivo is simple, quick and comes with no strings attached. You can sign up for a free trial account and get free credits to explore the platform’s voice, SMS, chat and WhatsApp capabilities before buying credits or subscribing to the platform. 

You can experiment with API calls, add phone numbers and build or test workflows using Plivo’s no-code tools helping you simulate real-life use cases like AI voice agents, automated messaging or multi-channel engagement with your own data and logic. 

Get started with your free trial now and begin building your first insurance agent today.

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Dec 3, 2024
5 mins

Smart IVR: What It Is & How It Can Help You

Learn how to enhance customer interactions with Smart IVR using Plivo-powered voice agents. Discover step-by-step guidance on building intelligent IVR systems for seamless communication.

IVR

More than 50% of customer service agents face burnout due to overwhelming queries. This leads to reduced service quality and customer dissatisfaction. 

These days, customer service is paramount to the success of a business. In fact, 32% of customers will walk away after just back interaction.

The solution? Smart IVR. This AI-powered tool handles routine queries so you only divert important or complex queries to your agents, saving them burnout.

The best part? It works 24/7 to solve customer queries so it’s no surprise that 70% of service organizations already use intelligent service assistants.

In this blog, we’ll explore what Smart IVR is and how you can build smart IVR with Plivo to elevate your customer support. 

Let’s dive in.

What is Smart IVR?

Smart IVR (Interactive Voice Response) is an advanced customer support technology that uses artificial intelligence (AI), contextual awareness, and data-driven insights to deliver a more intuitive and personalized caller experience. 

Unlike traditional IVR systems, smart IVR goes above and beyond rigid menus and predefined options and adapts to the unique needs of each caller. This approach makes customer interactions faster and more efficient. 

Here’s how smart, AI-powered IVR compares with traditional IVR:

Feature Traditional IVR Smart IVR
Menu Structure Static menus with fixed options Dynamic menus that adapt to caller needs
User Input Basic keypad inputs (e.g., “Press 1 for...”) Conversational interfaces with natural language understanding
Flexibility Limited to predefined pathways Adjusts dynamically based on customer data and context
Query Handling Handles simple, straightforward queries Capable of addressing complex, multi-step queries with minimal effort
Personalization Generic options for all callers Tailored experiences based on caller history and preferences
Efficiency Often requires multiple steps to reach resolution Streamlines interaction for faster resolution
Technology Used Basic telephony systems AI-powered solutions with machine learning and contextual awareness

How does smart IVR work?

Smart IVR runs on advanced technology such as AI-powered voice agents and audio streaming to understand human output and deliver seamless conversations over various channels.

Here’s how it works:

  1. AI-powered functionality: Smart IVR, when combined with voice agents uses natural language processing (NLP) and machine learning to understand spoken or typed inputs. This allows users to interact in conversational language rather than pressing buttons.
💡Pro Tip: You can use Plivo to integrate with any LLM model, STT providers, TTS providers to launch your voice bots and build AI powered IVR solutions.
  1. Contextual awareness: AI-powered IVR tracks the history of previous interactions, to pick up any conversation where the customer left it to avoid unnecessary repetition.
  2. Data-driven operations: Smart IVR integrates with customer relationship management (CRM) systems and databases, to provide relevant, real-time information during the interaction.
  3. Personalized call flow: By analyzing caller data and preferences, the system dynamically adjusts the call routing and response pathways, creating a tailored experience for every customer.

Benefits of Smart IVR

Now that you know what Smart IVR is, let’s dive into its key benefits for your business. On top saving time for your customer service agents, it can help you with a lot more:

Personalized and intuitive conversations

By integrating customer data or using IVR scripts, Smart IVR systems tailor interactions based on individual histories and preferences. 

📚For instance, Smart IVR can greet returning customers by name and reference their previous interactions creates a more engaging and efficient experience.

24/7 customer service availability

Smart IVR systems provide round-the-clock support, so your customers can resolve their queries, regardless of time zones or business hours. This continuous availability enhances customer satisfaction as they always get timely responses to inquiries.

Reduced operating costs

Automating routine inquiries through Smart IVR systems decreases the need for live agents, leading to significant cost savings. Handling simple tasks like order confirmations or account balance inquiries via IVR reduces the overall number of support tickets and operational expenses.

With Plivo’s audio streaming features, you can build a smart IVR starting as low as $0.003 per minute - 40% lower than competitors. 

Enhanced customer insights

Smart IVR systems collect valuable data from customer interactions and provide insights into common inquiries and areas for improvement. You can use this information to improve service protocols, and address emerging customer demands.

📚A call center for an e-commerce business uses Smart IVR to analyze frequent queries like "Where is my order?" and "How do I return a product?" They automate order tracking and returns through the IVR, allowing customers to get instant updates without agent involvement. This reduces agent workload and enhances customer satisfaction, demonstrating how AI-driven insights optimize call handling and service operations.

Improved customer satisfaction

Smart IVR systems effectively address customer issues and lets them enjoy self-service for surface level queries. You can optimize your IVR for self service resolved quickly without the need for multiple interactions.

Using Voice Agents to Build AI Powered IVR Solutions

Unlike traditional IVRs that rely on static menus and human intervention, AI-powered voice agents introduce intelligence, efficiency, and adaptability to the IVR experience.

Here’s why you need to integrate your voice agents for your IVR systems:

Scalability without the overhead costs

As businesses grow, the demand for customer support increases. With human agents, this growth requires hiring and training additional staff, leading to higher costs and operational complexity.

AI voice agents handle customer queries 24/7 without requiring additional human resources. They can instantly scale to accommodate a surge in call volumes, making them a cost-effective solution for growing businesses.

For example, during seasonal sales or peak times, voice agents can manage thousands of simultaneous calls without delays, ensuring customers get instant responses.

Less training, more customer service 

Training human agents is time-consuming and can involve a significant learning curve. Human performance also varies due to fatigue or lack of knowledge about complex scenarios.

AI voice agents don’t require traditional training. They leverage machine learning models that can quickly process past customer interactions and data to provide context-based resolutions. Updates or improvements can be implemented instantly across all interactions, ensuring consistent service quality.

For example, if a new product is launched, AI agents can be updated instantly with FAQs or key information, unlike human agents who may take days or weeks to fully adapt.

Plivo, a voice API platform can help you supercharge your voice agents and build smart IVR for customer service. Here’s how Plivo does it:

  1. Capturing Input: Plivo captures the customer’s audio input (e.g., spoken queries or commands).
  2. AI Bot Processing: This audio input is transmitted to the business’s own AI bot, where advanced algorithms analyze and process the request.
  3. Generating AI Responses: The AI bot generates an intelligent, context-aware response.
  4. Delivering Output: Plivo transmits the AI’s response back to the customer in real-time.

How Smart IVR Improves Customer Support for Your Business?

Enhancing traditional IVR systems with AI and audio streaming can create more intuitive and efficient customer interactions.

For example, instead of navigating through multiple layers of options by pressing keys (e.g., "Press 1 for refunds"), users can simply state their query (e.g., "I want to talk about a refund"), and the system understands and routes the call appropriately. This makes the interaction more natural and reduces customer frustration.

Here’s why you need smart IVR for customer service:

Proactive customer engagement

Smart IVR can automate reminders for medical appointments, service visits, or delivery schedules. It can send real-time updates about account activity, payment deadlines, or service outages. It can also collect customer feedback immediately after interactions to gauge satisfaction.

Dynamic call routing

Direct callers to the most appropriate agent based on their query type or customer profile. Or, transfer calls to agents with complete context, including caller history and ongoing concerns, ensuring seamless service.

Real-time call analysis

Analyzing live calls to extract actionable insights such as customer sentiment, intent, or key entities mentioned.

For example, during a customer service call, Smart IVR performs real-time transcription and records keywords like "refund," "complaint," or "order status" are recognized. The system can then provide live prompts or assistance to the agent or automate responses.

Real-time transcription

Smart IVR transcribes conversations so you can use the text to update customer records or assist agents with relevant information.

Speech recognition

Smart IVR systems can understand and process spoken language by converting it into text. This allows the system to interpret what the caller is saying and respond appropriately without requiring them to press buttons.

For example, if a customer says, "I want to check my account balance," the speech recognition technology converts their words into text. The Smart IVR then processes the request and provides the relevant information automatically. This makes interactions faster, more natural, and user-friendly, enhancing the overall customer experience.

💡Pro Tip: You can also enhance your IVR functionality with PreAnswer. It lets you address common customer questions before the call is answered. Through preanswer, you can play pre-recorded answers to frequently asked questions. Satisfied callers may hang up after getting the information they need, freeing up employees to focus on more complex tasks.

Automation of voice channel operations

AI powered IVR can automate functions traditionally performed by human agents, such as answering routine queries, recording information, and providing real-time assistance.

Data collection and analytics

Smart IVR can collect data during IVR interactions to analyze customer preferences and behavior. You can also measure the effectiveness of customer support through call resolution times, customer satisfaction, and IVR usage rates.

Enhance the functionality of Your IVR with Plivo-Powered Voice Agents

IVRs already manage twice the volume of customer interactions compared to live agents. 

You can double down on these benefits by transforming traditional IVRs into smart IVRs using Plivo-powered AI voice agents. 

Plivo helps you launch AI-powered voice agents that can interact with customers and solve most of their queries without human intervention.

There are two ways launch a voice bot with Plivo:

Using Speech-to-text and Text-to-speech integration

Get started in 3 easy steps:

  • Sign up for Plivo to purchase a number through the Voice API or Plivo console.
  • Once you have your number, link it to an application equipped to accept voice calls, transcribe speech, and forward this text to your WebHook.
  • You can plug in Plivo's Voice API with any LLM model, like ChatGPT, to launch your bot

Using OpenAI's real-time API for live customer interaction

Launch AI voice agents and voice agents with Plivo using just a few lines of code!

  • Log in to your OpenAI Account: Secure your API key and RealTime API access.
  • Log in to your Plivo Account: Sign up and get a voice-enabled number.

Launch Plivo-Powered Voice Agents to Build a Smart IVR for Your Business

Now you know, it’s that easy to integrate with Plivo to launch your voice agents. Plivo-powered AI voice agents can handle more complex customer queries 24/7 as we promise:

  • Superior voice infrastructure: to deliver get crisp call quality across 220+ countries 
  • Low latency: Our PoPs are located in seven locations (California, Virginia, Frankfurt, Mumbai, Singapore, Sydney, São Paulo) across five continents. 
  • High availability and uptime: With a redundant infrastructure across multiple geographies and at least three local carrier connections across countries, Zentrunk promises 99.99% uptime
  • Full redundancy: Redundant links reroute traffic over backup networks in less than two seconds in case of backbone failover

With Plivo and OpenAI’s RealTime API, you can create voice agents that don’t only talk but empathize and engage with your customers. 

Request a trial to Plivo today to get started.

Dec 2, 2024
5 mins

The Basics of SMS Opt-In: Some Examples and Key Considerations

Learn how to use SMS opt-ins effectively with examples for marketing, support, and sales. Explore best practices to engage customers while staying compliant.

SMS Marketing

Ever wondered how companies get your phone number to send you text messages?

The answer lies in SMS opt-ins. It helps in building a direct communication channel with customers, allowing businesses to send targeted marketing messages.

According to Forbes, SMS has a 98% open rate—3.7x higher than email (26.8%). Also, 90% of people reply within 30 minutes, making it perfect for urgent messages.

However, it's crucial to know the importance of obtaining consent with laws such as GDPR, TCPA, etc., before sending messages. Consent is required to comply with legal regulations. Ignoring these regulations can lead to severe consequences.

However, obtaining consent demands a thorough compliance with privacy-focused laws such as GDPR and TCPA (Telephone Consumer Protection Act) before sending messages.

Companies that don't follow these laws can face serious consequences. For example, in 2021, Amazon was fined a whopping €746 million (about $888 million) for violating GDPR rules in Europe. 

In this article, let’s explore SMS opt-ins are and find out some real-world SMS opt-in message examples.

What is an opt-in text message?

An opt-in text message is a permission-based SMS campaign where subscribers explicitly consent to receive marketing messages from a business. This process involves more than just collecting phone numbers; it's about establishing a clear agreement between the company and the customer.

Key types of SMS opt-in procedures

Typically, customers agree to receive opt-in SMS by texting a keyword, giving the business permission to send them messages. The three primary types of SMS opt-in procedures are as follows:

1.Single opt-in

A single opt-in is the simplest process where a recipient gives their consent in one step without any confirmation.

Example:

Source

2.Double opt-in

Double opt-in involves an extra layer of verification. After the initial consent, the recipient receives a confirmation message (e.g., “Reply YES to confirm”). This ensures the number belongs to someone genuinely interested.

Example

Source

3.Soft opt-in 

The "soft opt-in" rule lets businesses send marketing messages to customers who've bought from them before, without needing explicit permission each time. Any company selling directly to consumers can use it, as long as they're promoting similar products or services. This is especially handy for businesses with repeat customers, like retail shops or subscription services.

But there are some important rules to follow. The customer's details must have been collected during a sale or negotiation, and they must be given an easy way to opt out in every message. It doesn't work for charities, political groups, or new contacts from bought lists.

Misusing this rule can lead to hefty fines, as Papa John's found out when they were hit with a £10,000 penalty.

Example: "Thank you for your recent purchase! Don’t miss our latest offers: [link]. Reply STOP to opt out."

Additional types of SMS opt-in processes 

Prospects can consent to receive text messages from your business in the following five ways as well:

1.Verbal consent

The individuals can verbally consent to receive SMS messages over the phone or in person. Businesses must document this consent and a summary of the conversation.

2.Website form opt-in

Customers can provide consent by filling out a form on your website. This can be a dedicated opt-in form or a form embedded in other website content.

3.Paper form opt-in

Customers can consent by completing a physical form in-store. The form should clearly state that the customer is opting in to receive SMS messages and an explicit opt-in message.

4.Text-to-join

Your contacts can initiate the opt-in process by texting a keyword or specific phrase to your business's designated number. 

5.QR code opt-in

Customers subscribe by scanning a QR code, which prompts them to enter their phone number to opt in. This code can be on posters, product packaging, or your website.

SMS regulations and compliance: An outline

Please note that SMS regulations and compliance requirements can vary by country and jurisdiction. It's essential to consult with legal counsel to ensure full compliance This information is provided for general knowledge only and does not constitute legal advice.

In 2024, IBM notes that the global average cost of a data breach hit $4.88 million, a 10% rise from the previous year. This shows the growing financial impact of cybersecurity incidents worldwide.​

Complying with SMS regulations

To ensure compliance with SMS regulations, it's necessary to adhere to specific guidelines. Here are some key points to remember:

  • Explicit consent: As noted before, obtain clear consent from customers before sending promotional or marketing text messages.
  • Clear opt-out instructions: Provide easy-to-follow instructions for customers to opt out of receiving messages. This can typically be done by texting a specific keyword like "STOP."
  • Frequency: Be mindful of the frequency and timing of your messages. Aim to send about 4-5 texts per month to start, and don't go over 10-15 unless you want customers hitting that unsubscribe button. 
  • Timing: Here, Adhere to the Telephone Consumer Protection Act (TCPA) regulations—no texts before 8 AM or after 9 PM in the recipient's time zone. Mid-afternoon usually works best, but avoid Mondays and rush hours. The sweet spot is between 10 AM and 8 PM.
  • Carrier compliance: Adhere to carrier-specific guidelines and regulations.

Compliance measures regarding promotional and transactional messages

When sending SMS messages, it’s important to distinguish between promotional and transactional messages. They both serve different purposes and are subject to varying compliance regulations from one country to another. Here’s how:

1.Promotional messages

These messages are designed to enable customer engagement, such as making a purchase or taking advantage of a special offer. Promotional messages generally include texts about discounts, flash sales, and exclusive promotions. 

Marketing SMS faces stricter rules that vary by country, including the US and UK. For instance:

Source

2.Transactional messages

Transactional messages provide essential information and are subject to fewer regulations. Common examples include order confirmations, password resets, and two-factor authentication codes.

  • U.S
    • TCPA rules allow transactional messages without explicit opt-in, provided the recipient’s number was collected as part of the transaction.
  • UK
    • PECR allows transactional messages without prior consent, provided they are necessary for fulfilling a contract or providing a requested service.

SMS marketing compliance varies by country, with regions like Canada, Australia, and the EU enforcing strict privacy rules. Businesses should also understand local regulations, like CASL in Canada or GDPR in the EU, to ensure global compliance.

SMS opt-in message examples

Here are some practical SMS opt-in message examples used by brands in different business scenarios:

SMS marketing

Popup website form 

A popup appears on the website encouraging users to subscribe to SMS updates in exchange for a discount or perk. 

Source

SMS keyword promotion

Customers can opt-in by texting a specific keyword to a shortcode.

Source

Website form fill 

Users fill out a dedicated form on your website to subscribe to SMS marketing.

Source

Footer form fill

A small form in the footer of the website invites visitors to sign up for SMS updates.

Source

Checkbox form

A simple checkbox added to forms, such as during checkout or account registration, lets users opt-in to receive SMS messages. 

Image source

Mobile QR code

Customers scan a QR code with their smartphones, leading them to a page where they can subscribe to SMS updates.

Source

Customer support

Paper form

Customers fill out a physical SMS opt-in form in-store or at an event to opt in for SMS support or updates.

Example:

"Sign up for SMS notifications! Fill out this form to receive support updates and service alerts. Msg & data rates may apply."

Source

Website checkbox opt-in

An optional checkbox on a contact or checkout form lets customers consent to SMS notifications.

Source

Text opt-in

Customers initiate the text message opt-in by texting a keyword to a shortcode.

Source

SMS keyword campaign 

Customers opt-in by texting a specific keyword to a shortcode to receive promotions, support updates, or special offers. 

Source

Verbal opt-in confirmation 

Customers verbally confirm their agreement to receive SMS updates, often during a phone call or in-store interaction. 

Example:

"By saying 'Yes,' you agree to receive SMS updates regarding your support requests. Msg & data rates may apply. You can opt out anytime by replying STOP."

Sales

Online demo request form

Customers opting in to learn more about your product can do so via a demo request form with an SMS opt-in checkbox. This matches the style of the previously displayed checkbox form.

Example:

"✔ Yes, I’d like to receive SMS reminders and updates about my product demo. Msg & data rates may apply."

Contact us form

 A checkbox on the contact form allows customers to subscribe to SMS sales notifications. This is similar to that of the checkbox form image shown earlier.

Example:

"✔ I agree to receive SMS updates about promotions and sales inquiries. Msg & data rates may apply."

Verbal opt-in 

Sales reps ask customers for verbal consent to receive SMS updates during a phone call or meeting.

Example:

"Would you like to receive SMS updates about our latest deals? By opting in, you agree to our terms. Msg & data rates may apply."

Via text 

Customers text a keyword to opt in for sales offers or product information.

Source

Physical form

Customers provide their phone numbers and consent on a physical form at a sales event or store. 

Example:

"Sign up for SMS notifications! Provide your phone number below to get updates on our latest offers. Msg & data rates may apply."

Make your SMS opt-in campaigns more impactful with Plivo CX

Launching an effective SMS opt-in campaign can be streamlined with a suitable tool in place. With Plivo CX, you can simplify SMS opt-in, manage compliance, and deliver impactful messages, and more. 

Here are some features you can try:

  • Personalization and automation: Utilize Plivo CX's AI-driven customer engagement platform to craft personalized welcome messages. The platform's Copywriter AI can generate highly customized content based on your campaign objectives, brand voice, and message length.

  • Timing and frequency: The tool also lets you schedule messages at optimal times across time zones for the maximum impact. You can also maintain thorough compliance with regulations.

  • Segmentation and targeting: Use the Audiences feature to segment your customers based on complex rules, such as purchase history or engagement levels. You can send targeted opt-in campaigns to specific groups, increasing relevance and engagement.

  • Omnichannel approach: Integrate your SMS opt-in campaign with other marketing channels for a consistent messaging across all platforms. Leverage each channel's strengths for a more comprehensive opt-in strategy. The platform also allows for strategic scheduling, enabling you to deploy campaigns immediately or at optimal future times.

  • Analytics: Take advantage of Plivo CX's detailed analytics to track performance metrics to measure ROI and effectiveness. Use these insights to continuously refine your approach, adjusting message content, timing, and targeting for better results.

Plivo CX can also leverage Plivo’s premium carrier network, with coverage in over 220 countries. This can slash your SMS marketing costs by up to 70% and increase 3x more ROI in your campaigns. 

Plus, you can also engage customers by integrating SMS into your applications using Plivo's powerful SMS API.

Want to see how it can simplify your SMS opt-in process? Book a demo today!

Dec 2, 2024
5 mins

Customer Experience Automation: All You Need to Know

Automating customer experience enhances satisfaction, boosts retention, and increases customers’ lifetime value. Here’s how it works.

Customer Experience

The importance of customer experience needs no introduction— 96% of customers remain loyal to a brand that considers brand perception a priority. 

However, delivering a consistent and customer-centric experience is not as straightforward as it seems, especially when you have to do it manually. There are tons of repetitive and error-prone tasks that can affect your efficiency or negatively impact delivery.

And that’s where customer experience automation comes in.

Automation helps you streamline your customer service by delegating tasks, such as ticket routing, rerouting, follow-up emails, and data entry, to AI-powered tools. This means human agents can focus on more strategic and complex customer interactions.

In this article, we’ll explain customer experience automation, its benefits, and how to use it to boost your ROI.

What is customer experience automation? 

To answer this, let’s split our definition into Customer experience and customer experience automation.

  • Customer experience is a sum of all customer interactions with your business, from their first contact to post-purchase support and the impression they form through these interactions. This encompasses every touchpoint, including browsing your website, engaging with your marketing efforts, interacting with your sales team, using your product or service, and receiving customer support.
  • Customer experience automation (CXA) means using AI-driven tools to streamline, optimize, and enhance these interactions with minimal human intervention while still delivering great results. This approach, which allows businesses to automate repetitive tasks, workflows, and communications, results in reduced human errors, consistent support, and personalized services.

Customer experience automation vs marketing automation

Marketing automation refers to using software to streamline marketing processes and manage multi-channel campaigns. However, it focuses heavily on pre-purchase interactions and lead generation.

In contrast, customer experience automation covers your marketing and sales funnel, including pre-purchase and post-purchase interactions. This approach aims to build customer satisfaction, retention, and loyalty.

Customer experience automation vs customer relationship management

While both CXA and CRM aim to nurture brand-customer relationships, the latter primarily does that by centralizing your customer data. CRMs also have minimal or zero customer interface, meaning only your business interacts with the system, not your customers themselves.

On the other hand, CXA offers a customer interface through AI agents like chatbots and integrates with CRMs, ERPs, and other home-grown systems to utilize customer data to deliver personalized experiences.

How does customer experience automation work?

Customer experience automation leverages three crucial components to streamline each touch point in your customer’s journey for faster and more effective service delivery:

  • AI agents: AI-powered chatbots engage your leads and customers on the front end to simulate authentically human-like conversations. An example is the all-in-one customer service platform Plivo CX’s self-service chatbot, which is an OpenAI-developed bot capable of custom training for accuracy and relevance.
  • Agent assistance: Automation tools provide valuable support to your human agents in the backend through real-time suggestions, seamless retrieval of relevant customer data, and automation of routine tasks during interactions.
  • Workflow optimization: Escalation workflows, interactive voice response, ticket routing, and sticky rerouting standardize your processes to boost overall efficiency.

These automation components work in tandem to eliminate drags in your customer experience and enhance satisfaction.

Key advantages of customer experience automation for ecommerce

As HubSpot data suggests, 86% of customer experience leaders believe automation will positively impact their service delivery, and 71% plan to invest more in AI agents like chatbots. Let’s explore some advantages of doing the same for your ecommerce business:

1.Offer 24/7 support

67% of consumers want a response to their queries within 3 hours, and over 60% want 24/7 support availability. That’s not something a 9-5 helpdesk offered by your human agents can help offer, especially when serving cross-border buyers outside your local timezone.

Customer experience automation helps you eliminate these geolocational and support barriers by using round-the-clock AI-powered chatbots built to handle more than 80% of routine questions. 

Moreover, you don’t need to hit a break with your customer data collection and analysis. Your automation works nonstop while you nap.

2.Reduce operational costs

For a mid-sized ecommerce business with tens of thousands of customers, you’ll need to set up a bogus team of human agents and data analysts to have a chance at providing a near-efficient experience for your customers. That’s difficult to scale in terms of resource and skill availability.

On the other hand, automating your customer experience with AI agents can help save up to 30% in cost. A single bot can do the work of multiple humans, thus reducing your recruitment costs. Also, good customer experience enhances retention rate and slashes customer acquisition costs.

3.Increase customer satisfaction

Companies using AI report a 20% increase in satisfaction rates. Automation reduces time to resolution, ensures quick escalation to the right channels when necessary, and matches customer data to deliver accurate experiences.

Also, delegating these weights to AI enables companies to allocate resources such as human agents and capital towards improving other core aspects of the customer journey, which serves your customers’ interests.

4.Personalize communications

According to Forrester, 77% of consumers have purchased from or recommended brands that provide personalized experiences.

Customer experience automation ensures this by collating and analyzing customer data from different sources, such as multiple communication channels, e-commerce platforms like Shopify, and CRMs.

Structured data gives valuable insight into your customers’ pain points, previous support history, and other information that can assist in making informed decisions.

A great example is the omnichannel contact center solution Plivo CX's unified desktop agent, which consolidates fragmented customer data from multiple channels, such as email, voice, SMS, WhatsApp, and live chat, into a single, easily accessible interface.

This empowers your human agents with real-time access to valuable insights and enables your chatbots to provide tailored recommendations and assistance to customers.

5.Offer consistent experiences

79% of consumers expect consistency in service delivery; however, 55% say they often feel like they are talking to different departments instead of one organization. This disconnect often occurs when departments operate in silos.

For example, the marketing team may focus on lead generation without aligning with the customer service team, leading to fragmented communication and a disjointed customer experience.

Customer experience automation prevents silo operations by breaking the barriers between your marketing, sales, and customer support teams. This results in a unified contact center and allows access to valuable data, ensuring your customers have a consistent experience pre- and post-purchase.

6.Boost customer relationships

Providing faster responses to queries, accelerating order delivery, reducing touch points to purchase, and offering personalized experiences through automation all boost customer satisfaction. And satisfied customers are more likely to become loyal or connected to your brand. 

Customers who feel connected to a brand are worth 306% more in lifetime value. Loyal customers are also good brand advocates and will recommend your business to others 71% more than those who are not.

5 ways to use customer experience automation

While customer experience automation is a must-have superpower, knowing where and how to use it can significantly impact your results. Let’s see some of the most important use cases to consider.

1.AI Chatbots

AI chatbots handle routine queries, manage customer orders through API integrations with stores, sort customer refunds, or simply hand off issues and escalate them to your human agents. These bots can also provide smart product recommendations to customers and help streamline decision-making.

As noted before, Plivo CX’s OpenAI-powered self-service chatbots, which you can train in-house with a custom dataset to provide accurate and hyper-personalized responses to your customers. You can also guardrail them to stay within your company’s playbooks and brand voice.

2.Live chat

Occasionally, your chatbots might hit a hard rock and be unable to address a query. In that case, you can employ customer service automation to reroute the query to a live agent through a smart sorting system that uses customer data to choose the most appropriate human agent and channel.

Plivo CX’s drag-and-drop workflow builder makes this possible by helping you build sleek workflows without coding to streamline escalations, routing, and rerouting. This reduces time to resolution and ensures your customers get the assistance they need. 

3.Self-service portals

Utilize automation to create self-service portals to help customers access their personal information, initiate actions, and solve problems with barely any interaction with your agents. They are personal but password-gated dashboards that have been automated to provide tailored assistance based on customer data.

These portals also often include an account management dashboard that displays relevant transactions, personalized knowledge bases like FAQs, and task management features to apply for a credit card or follow a ticket’s history.

4.Automated notifications & emails

You can set up automated notifications and emails for your ecommerce business based on several triggers, such as cart abandonment, confirmation after placing an order, shipping updates, a drop in the price of previously viewed products, or when a product is out of stock.

Plivo CX’s Shopify integration allows owners to provide proactive support through preset reminders, personalize messaging, and make smart routing decisions based on centralized customer data.

5.Feedback surveys

Use automation tools to collect feedback from your customers to refine your delivery further. You can do this via AI chatbots and simply ask customers to rate their experience after the resolution of a query. You can also send a survey to their emails after an interaction.

Plivo CX’s CSAT collection feature helps you do that by sending predesigned surveys to customers and providing visual analysis in order to pinpoint areas that need improvement quickly.

Implement superior customer experience automation with Plivo CX 

Automating customer experience is seamless only when using the right solutions. Plivo CX offers an AI-driven platform with a full-packaged automation system designed to streamline communication, enhance engagement, and ensure smooth interactions across your channels.

Plivo CX also boasts a 24/7 OpenAI-powered chatbot that can be trained to make informed decisions guided by your company’s policies, accurately and rapidly address customer complaints, and escalate issues to human agents along with detailed notes or data when required.

In addition to that, the tool offers several features, such as:

  • Unified communication: As noted before, you can manage all customer conversations across channels like email, voice, SMS, WhatsApp, and live chat from a single, agent-friendly platform
  • Seamless integrations: Connect Plivo CX with your existing tools, including CRM, ERP, helpdesk, home-grown systems, and more
  • Data-driven optimization: Track real-time analytics and generate custom reports to gain insights into customer interactions and agent performance
  • Communication with media support: Enhance interactions with multimedia support, including images, videos, and documents
  • Increased productivity: Streamline workflows with message templates, internal notes, and skills-based routing
  • Comprehensive features: Leverage call recording, IVR, multi-language support, and robust security features for a complete solution

To learn more, book a demo!

Dec 2, 2024
5 mins

A2P SMS Messaging

Learn how A2P SMS messaging simplifies campaign management. Know about its benefits, use cases, compliance, and drive conversions with A2P SMS.

SMS Marketing

The global A2P messaging market was valued at USD 71.50 billion in 2024 and is expected to grow at a CAGR of 5.4% from 2025 to 2030, far outpacing email and other communication channels.

This impressive growth is fueled by the need for businesses to connect with their customers in a direct, reliable, and immediate way—a need that A2P SMS messaging perfectly fulfills. 

Businesses can engage their audience effectively by adopting automated systems to send targeted messages. A2P SMS has become a cornerstone of modern customer communication, from marketing campaigns to critical alerts. 

In this article, let’s explore the fundamentals of A2P SMS messaging, its benefits, and some top use cases of A2P SMS.

What is A2P (application-to-person messaging)?

A2P messaging, also known as A2P SMS, is a communication method where businesses use automated systems to send messages directly to consumers or mobile users.

This form of communication is used for various purposes, such as marketing promotions, appointment reminders, order confirmations, or customer service alerts. 

Image of an A2P SMS message confirming an order with order status.
source:Example of A2P SMS

A2P messaging is widely used across industries such as retail, healthcare, and financial services.

How does A2P SMS work? 

A2P SMS uses automated software systems to send text messages from applications to consumers. Businesses integrate these platforms with their CRM or marketing systems to trigger messages for specific actions. 

The messages are delivered via mobile network operators or cloud-based services. This system allows businesses to scale their messaging efforts, sending thousands of messages simultaneously while maintaining a personal touch.

A2P messaging vs P2P messaging

A2P and P2P (Person-to-Person) messaging differ in their usage and structure. Whereas A2P is used for business communications, such as promotions and notifications, P2P is meant for personal conversations. 

The table below outlines the key differences between these two messaging types.

Feature A2P messaging P2P messaging
Sender Sent by businesses or applications, often in bulk. Sent by individuals directly to others.
Message volume The high volume of messages sent at once. Low volume, generally one-to-one communication.
Regulations Must comply with regulations such as GDPR and TCPA for consent. Minimal regulatory oversight
Delivery speed Instant Instant delivery, dependent on network conditions.
Message balance Often not 1:1, especially for promotions, though 10DLC supports conversational exchanges. Maintains a 1:1 ratio of incoming to outgoing messages.
Cost Higher, due to infrastructure and bulk sending. Lower, based on standard SMS or MMS rates.
Technology needed Requires platforms, APIs, and gateways. Minimal; uses standard mobile networks.
Audience Broad groups, such as customers or users. Specific individuals.
Examples OTPs, marketing messages, appointment notifications. Chats between friends or casual messages.

Use cases of A2P texting 

These use cases explain how A2P SMS helps businesses engage with customers efficiently across various industries:

Alerts and notifications

A2P messaging is used to send important alerts, such as account activity or service interruptions, keeping customers informed in real time.

Example: Banks send alerts about suspicious account activity, or service providers notify customers of outages.

Mobile marketing

A2P SMS is also quite effective for sending promotional offers and deals directly to customers’ phones. It’s an ideal medium for reaching customers with time-sensitive deals.

Example: A retailer sends an SMS campaign offering a limited-time discount code for a holiday sale or a flash promotion for Black Friday.

Appointment reminders

Businesses in healthcare, hospitality, and services use A2P texting to remind customers of scheduled appointments. This reduces no-shows and improves customer satisfaction.

Example: A dental office sends a reminder about an upcoming appointment.

Voting and surveys

A2P SMS facilitates customer feedback through surveys or voting systems, making it easy to gather insights.

Example: TV shows request votes from viewers, or businesses send customer satisfaction surveys.

Two-factor authentication (2FA)

A2P SMS is commonly used to send verification codes as part of multi-factor authentication, which adds an extra layer of security.

Example: E-commerce platforms send one-time passwords for account login.

Customer support

A2P messaging can be used for automated customer support, providing responses or updates.

Example: Airlines send flight status updates or tech companies send issue resolution steps.

Order and delivery updates

A2P SMS keeps customers updated on the status of their orders and deliveries. It’s an essential tool for e-commerce businesses to keep customers informed about their purchases.

Example: Online retailers send shipment and delivery time updates.

Benefits of A2P SMS for businesses

A2P SMS offers several benefits for businesses. Here’s a closer look at some key advantages:

High open and engagement rates

Text messages boast a 98% open rate, significantly higher than other channels like email. This means businesses can be confident recipients will see their messages. A2P SMS is an ideal channel for delivering critical updates or promotional offers.

For instance, brands like Sephora and Domino’s use SMS to send promotions and updates, knowing that their messages are almost guaranteed to be read​.

Direct and immediate consumption

Text messages are delivered instantly and read almost immediately. This makes SMS ideal for time-sensitive information. 

For example, FedEx uses SMS to provide real-time shipping updates, ensuring customers receive important delivery information instantly.​

Cost-effective

SMS is a more affordable marketing tool compared to traditional methods like TV or print ads. Retailers often use SMS for flash sales or limited-time offers. Fashion brands like H&M send SMS to announce exclusive sales, reaching large audiences at a fraction of the cost​

Better deliverability

SMS messages have a higher deliverability rate than emails, as they’re less likely to get caught in spam filters. This reliability makes it ideal for customer service notifications, such as appointment reminders from healthcare providers like CVS.​

Scalability

A2P SMS allows businesses to easily scale messaging campaigns, from sending thousands of messages during promotions to personalized notifications. 

Whether you’re a small business or a large enterprise, SMS platforms allow you to adjust your messaging campaigns.

Increased efficiency

Automated A2P SMS campaigns help businesses improve operational efficiency. Companies like Amazon use SMS to send order confirmations and delivery updates, automating customer service tasks and reducing manual effort​.

Improved customer experience

SMS improves the customer experience by providing timely and relevant information such as delivery notifications, appointment reminders, or customer service alerts. This way businesses show they value their customers’ time and needs​.

Detailed analytics

A2P SMS platforms provide detailed insights into customer behavior, such as message open rates and click-through rates. Marketing platforms like EZ Texting allow businesses to track campaign performance and adjust messaging strategies accordingly​.

A2P 10DLC in the US 

A2P 10DLC (10-digit long code) is a messaging system in the U.S. that enables businesses to send application-to-person (A2P) SMS using standard 10-digit phone numbers. 

Introduced by U.S. carriers, A2P 10DLC offers higher throughput, better deliverability, and improved compliance for business messaging compared to traditional P2P methods. 

To use A2P 10DLC, businesses must register their brand and campaign details with The Campaign Registry (TCR) to meet regulatory and carrier requirements. This ensures transparency and reduces spam. 

It’s commonly used for notifications, marketing, and customer service, offering a scalable and cost-effective solution for business communication.

Regulations regarding A2P SMS

Regulations on A2P SMS messaging protect consumers from spam and ensure businesses maintain transparency and accountability. Key global frameworks include:

  • Sender ID registration: Register sender IDs with carriers to improve message deliverability and avoid blacklisting
  • Content restrictions: Adhere to content guidelines, avoiding spam, scams, and harmful content
  • Opt-out mechanisms: Provide clear and easy-to-use opt-out options for recipients (e.g., replying “STOP”)
  • Carrier compliance: In the U.S., carriers enforce specific guidelines, such as those for 10DLC (10-Digit Long Code) numbers, requiring businesses to register their campaigns and adhere to throughput and content standards
  • Consent: Businesses must obtain explicit consent from recipients before sending A2P messages. This aligns with regulations like the TCPA (Telephone Consumer Protection Act) in the U.S. and GDPR (General Data Protection Regulation) in the EU

Understanding consent types in A2P messaging

A2P messaging requires varying levels of customer consent based on the purpose of communication. For instance:

  • Customer-initiated messaging: Implied consent: When a customer initiates a conversation, such as asking about a product or service, their action implies consent to respond.
  • Informational messaging: Express consent: Customers explicitly agree to updates like account changes, fraud alerts, or appointment reminders.
  • Promotional messaging: Explicit consent: Businesses must ensure customers have confirmed their agreement to receive marketing content.

Non-compliance can lead to fines, legal actions, or carrier bans. TCPA violations can cost up to $1,500 per unsolicited message. Businesses must stay informed to ensure lawful messaging.

Use Plivo CX for your A2P SMS marketing campaign

Launching SMS campaigns can be overwhelming, especially when you’re struggling to reach the right customers, like a clothing brand missing out on holiday shoppers.

Without the right SMS marketing strategy and tools, targeting the right audience is a challenge.

As an omnichannel customer service platform, Plivo CX simplifies campaign management for businesses looking to launch product announcements, flash sales, and new collections through targeted A2P SMS campaigns

Plivo CX helps you connect with your audience in a personalized and automated manner, delivering higher engagement and driving better ROI. 

Here’s why you should choose Plivo CX to launch targeted SMS campaigns:

Screenshot of Plivo’s user interface showing options to segment and target specific customer groups.
Target the right audience with precision in Plivo.
  • Choose the channel: Engage customers through SMS, MMS, Email, or WhatsApp
  • Send now or later: Manage and schedule campaigns for optimal timing and ROI
  • Create your message: Use templates or AI Assist for quick, custom content
Screenshot of a user interface showing options to create messages using templates or AI-powered suggestions in Plivo.
Craft compelling messages effortlessly with Plivo.
  • Performance insights: Track key metrics to optimize your campaigns and maximize ROI
Screenshot of a user interface showing Plivo’s dashboard with various metrics like open rates, revenue, and channel.
Optimize campaigns with key metrics in Plivo

What’s more, Plivo CX taps into Plivo’s proprietary premium carrier network that is spread across 220+ countries. As a result, you can reduce your SMS marketing costs by up to 70% while reaching the right customers at the right time and driving instant engagement.

Sign up for a free demo and see how Plivo CX can optimize your A2P SMS campaigns!

Dec 2, 2024
5 mins

10 Ways to Transform Operations With AI Call Center Agents

Find out how AI call center agents help businesses boost productivity, cut operational costs, and deliver personalized customer experiences around the clock.

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In 2024, approximately 60% of customers report that long holds and wait times are the most frustrating parts of a service experience. So, for every additional minute, businesses risk losing loyal customers and new opportunities for growth.

Worryingly, this risk does not end here. Repetitive inquiries and inefficient workflows can strain even the most experienced agents, leading to burnout and reduced productivity. 

This is where AI call center agents can help transform operations. Trained on specific datasets, AI can manage simple tasks like answering FAQs and handling complex queries with real-time sentiment analysis.

This article will explore the most impactful ways AI agents can help brands optimize customer experience.

What are AI call center agents?

AI call center agents are virtual assistants that manage customer service interactions typically handled by human agents. They are powered by artificial intelligence and use machine learning to interact with customers via phone, chat or messaging apps.

AI agents can understand and respond to a wide range of frequent customer queries, resolve issues and perform transactions with minimal human intervention. In a way, this is a more intuitive way compared to resolving customer queries through voice prompts and keypad inputs.

In 2023, 40% of contact center workers in the U.S. reported that AI has made their work easier, particularly in handling customer information tasks.

10 ways AI can optimize call center operations

A Gartner study indicates that 80% of companies are utilizing AI to enhance customer experience, with many planning further adoption by 2025. This is because, unlike traditional call center operations that struggle with long wait times, repetitive tasks, and an overwhelming number of customer inquiries, AI call center agents can accelerate and optimize call center operations. Here is how:

1.Round-the-clock availability for continuous support

AI call center agents operate 24/7, ensuring customers can access continuous support. Whether it is midnight inquiries or early morning complaints, businesses are always ready to interact and resolve requests.

Continuous support is necessary if your business operates globally and needs to support customers across different time zones. Some common use cases include answering FAQs, processing transactions, and escalating complex cases to human agents when necessary.

AI call center agents are also highly scalable and can simultaneously handle any number of customer interactions. This ensures your call center remains agile and adaptive, regardless of demand volume. 

Additionally, the flexibility allows call centers to maintain superior service levels without hiring additional staff.

2.Automation of repetitive tasks and FAQs

Call center agents often have to spend much time on manual and mundane tasks such as data entry and status updates. AI call center agents can take it away from their plate and automate these routine interactions, reducing processing time and optimizing workflows.

It also allows human agents to focus on more complex issues requiring problem-solving and critical thinking. Moreover, customer service automation resolves customer issues 52% faster, increasing overall productivity.

Some of the other areas where AI call center agents can help include:

  • Order tracking and status updates
  • Call summarization and transcription
  • Ticket creation and management
  • Real-time language translation
  • Sentiment analysis
  • Agent assistance with real-time suggestions
  • Knowledge base management and updates
  • Personalized customer interactions

3.Personalization of customer interactions

According to a study by McKinsey, 71% of consumers expect personalized interactions from companies, while 66% get frustrated when this doesn’t happen. To this end, call center AI agents can analyze customer data and tailor interactions based on preferences, history, and behavior.

AI agents can also track patterns in past interactions and customize real-time responses to provide a highly personalized experience. For example, if a shipment is delayed due to weather, the AI agent can notify and even offer a coupon code for the inconvenience.

Here are a few areas where personalization works best:

  • Customer greetings and onboarding
  • Tailored product or service recommendation
  • Issue resolution based on history
  • Proactive support based on customer behavior
  • Loyalty programs and VIP experiences
  • Personalized follow-ups and check-ins

4.Call routing and intelligent escalation

If appropriately trained, AI call center agents can handle most complex queries. However, they may face challenges when situations require critical thinking, advanced reasoning or solving multi-step problems. 

At times like this, transferring these complex queries to a human agent is critical to maintaining a consistent customer experience.

AI call center agents use intelligent call routing to direct customers to the appropriate agent or department. Human agents are also presented with relevant information about callers and their intent to make the process quick and easy. This can boost agent productivity while enhancing customer experience.

5.Handling high volumes and reducing wait times

AI call center agents are designed to handle high call volumes effortlessly, eliminating the need to hire extra staff. This allows your business to maintain high performance and responsiveness even during times like seasonal rushes or promotional spikes.

Additionally, customers get access to help without long wait times or hold music. AI agents can guide them through self-service options, providing added assistance so that agents don’t feel overburdened and pressured. 

Moreover, they can determine a customer’s intent and cues, identifying the top reasons for reaching out to offer quick and personalized service.

6.Real-time sentiment analysis for improved interaction

AI call center agents detect customer sentiment and analyze verbal cues, tone and language patterns in real-time or past conversations. They can determine if the interactions are positive, negative or neutral, allowing human agents to judge situations and respond accordingly.

Sentiment analysis can further help in the following:

  • Enhancing customer satisfaction by prioritizing issues based on the tone of the customers 
  • Driving proactive engagement by tailoring responses to match the customer’s emotional state
  • Alerting the manager of the customer’s emotion and allowing them to listen to the interaction and guide the agent
  • Improving marketing strategies by analyzing customer reviews, social media comments, and survey data

7.Predictive insights for proactive support

Implementing predictive analytics within call centers can improve efficiency and productivity by up to 60%, allowing for better handling of peak call times and reduced customer wait times.

By analyzing past customer interactions and historical data, AI call center agents can predict future behavior and preferences. This is done by collecting data from various sources, such as past purchases, browsing history, and even social media history. 

The data is subsequently organized and analyzed to identify patterns that people might overlook.

It can help in:

  • Providing proactive support by enabling companies to get in touch with customers before they report an issue
  • Identifying low and peak times and enabling businesses to allot duties to agents accordingly, avoiding overstaffing or understaffing
  • Identifying cross-selling and up-selling opportunities to help companies deliver targeted offers

8.Streamlined onboarding and training

AI call center agents can accelerate onboarding and help newly hired agents gain confidence faster. They can also provide real-time guidance to human agents as they handle interactions by offering replies, suggestions, and relevant information based on the context of the conversation.

When reps cannot handle a difficult conversation, AI call center agents can instantly pull up the necessary information from the integrated knowledge base and CRM systems, eliminating the need to search for information manually. This way, they enable reps to respond faster and more accurately and help new hires navigate customer conversations more confidently. 

9.Perform quality control

Quality control is necessary to maintain a consistent customer experience. AI call center agents help managers conduct thorough quality assessments, gain actionable insights and tailor training programs to boost agent performance and improve customer satisfaction.

Here are a few ways AI call center agents can help perform quality control:

  • Analyze call transcription by generating accurate call transcripts. This allows managers to review interactions and identify weak areas that can be improved through targeted training
  • Assess call transcripts to reveal trends, common issues, and customer preferences to enable managers to make data-driven decisions for process enhancements
  • Evaluate agent performance based on customer service goals and benchmark

10.Reduce call wrap-up times

AI call center agents can analyze real-time interaction or post call recordings to generate accurate call summaries based on the conversation. Based on the insights, AI generates a summary highlighting key information such as customer complaints, resolutions and the need for any follow-up. 

This reduces the average amount of time spent on each call, allowing agents to complete post-call tasks faster.

Experience the power of AI in customer service with Plivo CX

AI call center agents are gradually becoming a must-have for recalibrating call center operations. However, it is important to note that AI's key function is to support human agents and augment their skills, not replace them.

To deliver a truly exceptional customer experience, humans' empathy, understanding and personal connection will need to be combined with AI's accuracy, agility and speed.

As an all-in-one omnichannel customer service platform for MSMEs and enterprises, Plivo CX offers reliable support, accelerating the delivery of efficient and personalized service. 

The platform empowers businesses to run operations smoothly with intuitive AI-powered chatbots, IVR, and a unified agent desktop that brings disparate channels, such as email, voice, SMS, WhatsApp, and live chat, in a single window pane. 

What’s more, you can train the OpenAI-powered chatbots on custom company datasets so that the customer query response contains only the most appropriate and accurate information.

Some of the stand-apart features of Plivo CX include:

  • Omnichannel support: View, track, and manage customer conversations across channels on a unified platform
  • Available 24/7: Attend to customers around the world with continuous support
  • Easy escalations with notes and summaries: Summarize conversations and escalate to human agents when necessary
  • Comprehensive customer insights: Analyze real-time or recorded conversations to identify areas of opportunities and improvements
  • Agent coaching tools: Guide your human agents with features such as call recording, barge, and whisper to improve performance
  • Automated ticketing: Categorize and prioritize incoming tickets, ensuring that urgent issues are addressed promptly
  • IVR: Create automated phone menus to guide callers and route them to the right department or agent
  • Integration with CRM for better support: Pull customer information effortlessly from your existing CRM and tech stack

Book a demo now to start a free trial.

FAQs

1.Are AI call center agents secure?

Yes, reputed AI systems adhere to strict security and data privacy standards, ensuring customer data is handled securely. Many AI agents integrate directly with CRM systems and follow industry regulations to protect customer information.

2.How can AI call center agents improve customer experience?

AI agents provide quick, 24/7 support, reducing wait times and resolving common issues immediately. They can also route calls to the right departments, personalize interactions, and adjust responses based on customer sentiment, all of which contribute to a more satisfying customer experience.

3.Can AI call center agents help reduce operational costs?

Yes, AI call center agents can significantly reduce operational costs by handling high volumes of inquiries without the need for additional human agents. This helps businesses save on staffing and overtime costs while improving efficiency.

Nov 26, 2024
5 mins

How to use AI to analyze phone calls and improve your customer experience

Learn how to use AI call analysis to identify trends and improve your customer experience.

Case Studies

Every customer call holds valuable information about what they really want and how they feel about your company. Now that we can improve customer experience with artificial intelligence (AI), manually reviewing hundreds of sales calls to analyze the most or least effective talking points is a thing of the past.

Analyzing phone calls with AI reveals what resonates with customers and what doesn’t. If your call center AI tools highlight frequent inquiries about billing issues or service plans, you need to refine your service plan documentation and improve billing transparency.

The global AI market in the call center segment is projected to exceed $4 billion by 2027. This means many businesses are using AI call analysis to save time and improve customer experience. Whether you’re new to AI call analysis or looking to improve your existing strategies, this blog offers valuable insights to help you succeed.

How does AI call analysis work?

You can use AI to analyze phone calls and find valuable insights into customer needs and preferences. Here are some key approaches:

Transcribe audio to text

An AI call analysis tool transcribes conversations from audio to text in real time. This lets you search through call transcripts for specific sentences or phrases without listening to every call.

Say you notice a sudden spike in complaints about a product or service. You can quickly surf through call transcripts and search for specific words to pinpoint customer complaints. This way, you derive meaningful insights from customer calls in less time.

Sentiment analysis

An AI-based call analysis tool goes beyond words. It finds trends in conversation, including repeated keywords, speech patterns, and even customer sentiments and tone.  

The tool extracts emotions from various sources, including customer emails, chatbot histories, customer service call transcripts, comments on returns and refunds, and customer feedback or surveys.

Keywords and topic detection

Phone call analysis with AI automatically identifies key topics and keywords discussed during calls. This helps you spot trends, like recurring questions about a particular feature or a product, allowing you to update FAQs, training materials, or even product documentation.

The benefit? It significantly reduces call handling times and pushes agents to provide accurate and timely responses, automatically improving customer service.

Predictive analysis

AI call analysis has the power to analyze past interactions and predict future behaviors. So if a customer frequently asks about a product upgrade, you might proactively reach out with customized offers or share new product updates with those customers.

Using AI for customer service also facilitates market segmentation. Analyzing data on customer behavior, preferences, and demographics helps you identify segments that are likely to be the most profitable. 

This approach lets you focus on high-value customer segments, leading to lower costs for acquiring new customers.

Benefits of using AI to analyze phone calls

Analyzing phone calls with AI offers numerous advantages that can transform customer service operations, including:

Learning customer sentiments

Talking to hundreds of customers each day, it’s easy to misinterpret a good call for a bad one and vice versa. An AI-powered sentiment analysis helps understand how customers feel during interactions. It assesses the tone and emotion behind their words for you to pinpoint areas of frustration or satisfaction and tackle them head-on.

For example, if AI detects a high level of frustration in calls about a specific service, it prompts you to inform your marketing team or provide additional training to agents who may lack the necessary information to effectively address customer concerns.

Identifying trends

AI for customer service uncovers emerging trends in customer inquiries and concerns. Analyzing call data over time reveals recurring issues or topics, such as a rise in questions about a new product feature.

Use this insight to adapt your offerings, enhance marketing strategies, or update training materials to better equip your team.

Improving training and development initiatives

AI call analysis also identifies common challenges agents face. You can apply these insights to tailor training sessions for addressing specific skills or knowledge gaps.

For instance, if calls reveal that agents struggle with handling billing-related inquiries, you can help them understand the pricing structure and discount options to improve their confidence.This ultimately leads to a more competent team.

Step-by-step guide to implementing AI for call analysis

Here’s a step-by-step guide to using AI to analyze phone calls.

1. Choose an AI-powered communication tool

When it comes to AI call analysis, several popular options stand out. These are a few platforms and key features to consider when setting up your audio streaming platform:

  • Gong: Provides an in-depth analysis of sales calls.
  • CallRail: Focuses on marketing analytics and monitoring call performance and customer interactions.
  • Telldesk: Offers real-time call analysis and helps identify trends and customer sentiment.

Depending on your objective, choose a platform that best suits your business. Consider these features when making your choice for an AI-powered communication tool:  

  • Ease of integration with your existing CRM system
  • Detailed analytics and visual dashboards
  • Real-time call analysis
  • Sentiment analysis
  • User-friendly interface

2. Categorize calls

Choose call centers AI tools that categorize calls in real-time based on issue types, product inquiries, and customer satisfaction levels. This feature provides managers with better insights into common customer concerns and agent performance, making it easy to identify trends and training needs. 

For example, Plivo creates an AI-driven call summary within a few seconds, as opposed to manual note-taking, which could take minutes or more, depending on the complexity of the call.

Plivo segments calls by:

  • Subaccount
  • Geo-location
  • Hangup details
  • Carrier network
  • Device metadata

3. Speech-to-text transcription

Choose an AI call analysis tool that captures user input with real-time transcription to perform sentiment analysis.

Plivo, for instance, offers support for speech recognition in 27 languages and their regional variants. It also offers pre-built use-case-specific IVR models with pre-answer that lets you specify what happens after a call is transferred but before it’s picked up.

Additionally, it filters profanity, detects and masks inappropriate content in transcriptions, and improves speech recognition accuracy with a list of hint words expected from the speaker. These features lead to better AI call analysis and save your business from legal risks and penalties due to profanity in content.

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4. Perform qualitative call analysis

Poor call quality directly impacts sales and customer satisfaction. When customers can't effectively communicate with your team, you risk losing sales opportunities and existing clients.

The solution is to choose a platform that performs — Plivo.

Tools like Plivo’s call debug UI quickly find the root causes of these issues, helping businesses mitigate these risks, improve overall call quality, and enhance customer experience.

With this feature, you get answers to:

  • Who initiated the call?
  • How and from where was the call initiated?
  • Where did it terminate?
  • Which device, operating system (OS), browser, and mic was used?
  • Who hung up the call and why?
  • What other legs were involved in the call flow?
Get detailed call statistics for accurate reporting (Source) 

Moreover, it collects feedback from end users using the Call Quality Feedback API. This process determines the root cause through correlations between audio quality metrics and various attributes, including network conditions, geolocation, and device metadata.

Obtain call insights with quality scores (Source)

5. Generate comprehensive reports

A detailed summary of key call quality indicators such as latency, MOS, and packet loss makes complex data more accessible. You can tailor reports to suit different stakeholders, ensuring the information is relevant and easy to understand.

Plivo lets you access all or any of the call insights data within the console using existing views, or even push data to third-party AI tools/platforms.This makes the call not only more accessible but also actionable.

View the call summary to gain deeper insights (Source)

6. Implement continuous KPI performance monitoring

Key metrics provide insights into customer satisfaction. Regularly collecting feedback will help you stay in tune with customer needs and expectations.

Keep an eye on the following metrics:

  • Net Promoter Score (NPS): Measures loyalty by asking how likely customers are to recommend your product to others on a scale from 0 to 10.
  • Customer Effort Score (CES): Assesses how easy or difficult it is for customers to interact with a company.
  • First Contact Resolution (FCR): Indicates the percentage of customer issues resolved during the first interaction.

For example, tracking NPS reveals how likely customers are to recommend your service, while CES measures how easy it is for them to get their issues resolved. 

Incorporate Plivo’s VoIP solution for improved customer experience

Plivo easily integrates with existing AI tools/systems. It’s really a simple five-step process:

  1. Sign up: Create an account on Plivo.
  2. Purchase number: Acquire a number through the Plivo console or API.
  3. Attach number: Link the number to your application.
  4. Establish connection: Use the following XML instruction to start streaming:
<Response>
<Stream bidirectional="true" keepCallAlive="true">wss://yourstream.websocket.io/audiostream</Stream>
</Response>

  1. Send audio back: Stream audio back to Plivo using the websocket connection for real-time conversational interactions.

Once integrated, you can facilitate real-time call analysis and action on live audio data. With automated call transcriptions, you can easily dive into sentiment analysis, allowing you to understand customer emotions instantly. This capability ensures that you maintain high-quality calls, even during peak times, so your customers consistently receive top-notch service.

Plivo also offers a feature called Queueing, which enables AI analysis to capture and process all calls in the queue. Combining detailed debug logs with AI insights helps identify recurring call patterns and issues to encourage proactive problem-solving before escalation.

All of these powerful features come at a competitive price of just $0.003 per minute per stream for VoIP and audio streaming. Use AI to analyze phone calls with Plivo and improve your customer service experience.

Contact us today to learn more about how Plivo can improve customer experience with AI.

Nov 26, 2024
5 mins

Twilio vs. Vonage

Explore Twilio's features, pricing, and scalability compared to Vonage to make an informed choice for your communication needs.

Twilio Alternative
Comparison

Twilio and Vonage are among the most well-known Communications Platforms as Service (CPaaS) providers. Gartner reviews highlight Vonage's robust, user-friendly features, which make it a reliable platform for businesses of all sizes. In contrast, Twilio stands out for its developer-focused, highly customizable APIs, appealing to businesses seeking more control and flexibility.

However, for businesses seeking the best of both worlds, Plivo offers a compelling alternative. It blends Twilio’s developer-friendly interface with Vonage’s comprehensive features, making it an ideal choice for scaling businesses looking to keep their communication costs in check.

In this blog post, we’ll compare Twilio vs. Vonage, and look closely at Twilio features, integrations, Vonage capabilities, and pricing. We’ll also explore how Plivo offers a strong middle ground for businesses seeking a balance between Twilio’s and Vonage’s unique offerings.

Twilio vs. Vonage: A quick comparison 

The table below focuses on comparing Twilio and Vonage, providing a brief overview of their functionalities.

Read on for an in-depth analysis of Twilio features, Vonage capabilities, Vonage API features, and pricing structures.

Features Twilio Vonage
Overview A flexible, developer-centric CPaaS with highly customizable APIs for SMS, voice, video, and other communication channels. A unified platform with voice, SMS, video, and more communication APIs.
Target segment Tech companies, startups, and large enterprises seeking highly customizable communication solutions. Small to large businesses seeking a robust, comprehensive communication platform.
SMS/Messaging Supported Supported
Voice Supported Supported
WhatsApp messaging Supported Supported
Pricing Pay-per-use; starts at $0.0079/SMS Pay-per-use; starts at $0.00763/SMS
Global coverage Send SMS to 210+ countries Send SMS to 220+ countries
Video calling Supported Supported
Third-party integrations (Source) Twilio integrations include
  • Microsoft Azure
  • Google Cloud AI
  • Salesforce
  • Zendesk
Integrates with third-party applications offering IP-PBX capabilities, video conferencing apps, and collaboration tools.
Data security and compliance
  • 10-digit long code (10DLC) assisted onboarding
  • Sender ID registration
  • Toll-free verification
  • Distributed ledger technology (DLT) verification in India
  • API for 10DLC and toll-free SMS verification
  • 10DLC assisted onboarding
  • Sender ID registration
  • Toll-free verification
  • DLT verification in India
  • API for 10DLC and toll-free SMS verification
Customer support
  • Offers web support (included in the Free plan)
  • Live chat support
  • Phone support and timely responses (depending on the plan)
  • Offers customer community hub
  • Web support (included in the Free plan)
  • Chat support
  • Phone support
  • Email support (included in the Free plan)
Authentication
  • Message content purging (requires configuration)
  • Message data log redaction
  • Destination number redaction
  • Message content purging
  • Message data log redaction by default
Reviews G2: 4.2/5 (475 reviews) G2: 4.3/5 (465 reviews)

Twilio vs. Vonage: Detailed features comparison 

Both Twilio and Vonage offer powerful APIs and tools to enhance messaging, voice, and video capabilities, but they differ in key areas that could impact your decision. Here’s a detailed comparison of Twilio and Vonage features to help you find the best fit for your business.

Twilio SMS API features and use cases

  • MMS support: Drive two-way engagement with cross-channel messaging for MMS and more using a single API.
  • Screen-sharing and live chat: Add live chat, share screens, and create custom video players.
  • Personalized messages: Customize messages for reminder notifications, delivery updates, and more.

Use cases

  • Appointment reminders
  • Delivery notifications
  • Emergency alerts
  • Send marketing messages
  • Account notifications
  • Verifications and OTPs

Vonage SMS API features and use cases

  • Fraud Defender: Protect your revenue and reputation with real-time alerting and automatic blocking of suspicious traffic.
  • Two-way messaging: Allow your customers to reply to messages for an interactive, chat-like experience.
  • Call queuing: Automatically queue high-volume traffic to the carrier networks under each carrier’s regulations.
  • Message concatenation: Split and seamlessly reassemble longer text messages according to carrier specifications.

Use cases

  • Automated notifications
  • Missed appointments
  • Failed delivery attempts
  • Order status updates and shipping alerts
  • Promotional campaigns with detailed offers
  • Service outage or maintenance alerts

Twilio Verify API features and use cases

  • Actionable insights: Access dashboards showing conversion and success rates by region and channel, along with SMS fraud trends to optimize fraud prevention.
  • Silent network authentication: Authenticate securely without user interaction, protecting accounts and transactions seamlessly within your app.
  • Improved compliance: Build compliant healthcare and financial applications without requiring personally identifiable information (PII).
  • Route optimization: Verify and use premium telephony routes on Twilio's Super Network to prioritize deliverability and speed.
  • Multiple delivery channels: Deliver OTPs through SMS, WhatsApp, voice, and email, all via a single API.

Use cases

  • Login protection
  • Signup verification
  • Improve message deliverability
  • Personalize messaging and voice calls
  • Stop SIM swap fraud
  • Enrich data and risk models

Vonage Verify API features and use cases

  • Pre-designed templates: Customize message templates, pre-record voice calls, and configure retry intervals for optimal user experience.
  • Multi-channel authentication: Authenticate users across WhatsApp, email, Silent Authentication, SMS, and voice channels.
  • Dynamic code generation: Generate unique verification codes in real-time to improve security for logins and transactions.
  • Customizable workflows: Set up tailored verification workflows to match specific user journeys and security needs.

Use cases

  • Fraud prevention during high-risk activities (e.g., large transfers)
  • Protection for subscription sign-ups and recurring services
  • Age verification for restricted content or purchases
  • Secure access to financial or healthcare applications

Twilio Voice API features and use cases

  • Interactive Voice Response (IVR): Build a self-service auto attendant menu that customers can navigate in multiple languages.
  • Call transcriptions: Record and transcribe call conversations for live captions and future reference.
  • Speech recognition: Use speech-to-text to enable voice forms, surveys, and lead qualification.
  • Call tracking: Track caller details, call time, and integrate data into your CRM.

Use cases

  • Self-service customer support
  • Real-time call transcriptions for compliance
  • Voice-based lead qualification
  • Automated call tracking in CRM systems
  • Customer surveys through voice forms

Vonage Voice API features and use cases 

  • Automatic speech recognition: Add voice control and enable easy-to-use self-service with automatic speech recognition in over 120 languages.
  • Call forwarding: Direct calls to different numbers or devices based on predefined rules or conditions.
  • Real-time call control: Provide businesses with the ability to manage and control calls in real-time, including muting, recording, or transferring calls.
  • Call recording: Record incoming and outgoing calls for future reference or compliance purposes.

Use cases

  • Automated phone menus for customer self-service
  • Compliance recording for financial and healthcare services
  • International businesses establishing a local phone presence

Twilio Customer Engagement Suite

Twilio Flex

Twilio Flex allows you to manage interactions with customers across channels such as phone calls or emails. You can:

  • Use your current voice carrier and phone number with Flex.
  • Surface responses to customer questions to save time.
  • Gain insights on customer conversations, track KPIs, and configure custom dashboards.
  • Augment existing solutions with a custom IVR.
  • Customers can engage via SMS, WhatsApp, voice, Facebook Messenger, WebChat, and more.

Twilio Engage

Twilio Engage makes it easy to launch email campaigns quickly and effectively. It helps you create emails with AI-generated headings, text, and images—cutting down hours of work. Built on clean, reliable data, it ensures your messages reach the right audience with greater impact.

The platform also provides tools for automating tasks, helping teams run effective campaigns with less effort and better results.

Vonage Contact Center

Vonage offers a powerful omnichannel contact center solution that lets agents handle all kinds of customer interactions, both internal and external.

The platform combines everything you need to keep your team productive, from team collaboration tools and workforce management to call routing and real-time analytics. This makes it a great fit for a variety of Vonage use cases, whether you're in sales, customer support, or even remote team management.

With Vonage, you can route calls to the right agents based on their skills, making sure customers are connected to someone who can help. The dynamic IVR system understands customers in dozens of languages. The AI-powered features support:

  • Live sentiment analysis
  • Call monitoring
  • Whisper
  • Barge

These features help coach agents in real time and ensure quality support at every step.

The accelerating demand for Voice AI finds companies RaftLabs building practical, domain-specific applications, primarily for high-stakes sectors like hospitality. Moving past generic call bots, Raftalabs prioritizes context-aware conversations for a human-like response. This powerful approach enables businesses to reduce costs while delivering excellent, empathetic customer engagement.

Twilio vs. Vonage customer support

When it comes to customer support, both Twilio and Vonage offer distinct approaches to assist businesses and end-users. This comparison highlights the key differences in their customer support plans.

Twilio customer support plans

  • Developer plan: Provides basic support with API status notifications and web support, but no guaranteed response times.
  • Production plan: Offers more robust support, with guaranteed response times for priority issues (3 hours for P1, 6 hours for P2, and 9 hours for P3), live chat support, and phone support, with a minimum monthly cost based on usage.
  • Business plan: Delivers faster response times and higher-touch support, including phone and live chat. The pricing scale depends on monthly spending, starting at a minimum of $250 for the production plan.

Vonage customer support plans

  • Standard plan: Caters to simple, non-critical Vonage use cases that require reliable support (8 am-5 pm) with best-effort response times. It includes access to the online knowledge base, email support, web support, and chat support, but doesn’t offer phone support.
  • Priority plan: Offers 24/7 support with a service level objective for response times and phone support. It also includes service status notifications and a 99.99% platform availability service level agreement (SLA), starting at $750 per month.
  • Premium plan: Caters to high-volume, mission-critical use cases, offering 24/7 support with guaranteed SLAs for response times, phone support, and access to the same platform availability SLA.
  • Premier plan: Provides top-tier support, including a designated support engineer, customer solutions management, best practices guidance, quarterly roadmap webinars, and regular health checks and business reviews.

Twilio vs. Vonage: Pricing

Let’s compare Twilio pricing vs. Vonage pricing to get a clear view of how their cost structures compare.

Twilio pricing

API solution Inbound Outbound Free trial
SMS $0.00763/SMS $0.00763/SMS No
Voice $0.0085/min $0.0140/min No
Verify $0.05/successful verification + channel fees Yes
WhatsApp $0.004/conversation No
Video $0.0015-$0.004/minute per participant No
Twilio Engage Starts at $120/month per user Yes
Twilio Frontline Starts at $20/month per user Yes
Twilio Flex $150/month per user or $1/hour per active user Yes (5,000 free active user hours to start)

Vonage pricing

API solution Inbound Outbound Free trial
SMS $.0059/SMS $.0064/SMS No
Voice $0.0041/minute $0.0041/minute No
Verify $0.054/successful verification Yes
WhatsApp $0.0488/conversation No
Video $0.00395/participant per minute No

Application API Cost Free trial
Unified Communications $20 to $40/month per user No

Twilio vs. Vonage: Pros and cons

We’ve outlined the pros and cons of Twilio vs. Vonage to understand which solution provider better suits your business.

Twilio pros and cons

Pros

  • Users appreciate Twilio's user-friendly setup, with clear instructions and an intuitive interface that makes integrating applications quick and easy, saving time and effort during onboarding. (Source)
  • Several users have specifically enjoyed Twilio's feature that converts MMS messages to SMS. (Source)
  • Some users have praised Twilio's developer documentation as thorough and immensely helpful. (Source)

Cons

  • Some users have complained about poor customer support and that they had to resort to the community to solve a problem. (G2, TrustRadius)
  • The cost gets high, especially for high-volume messaging requirements (Source)

Vonage pros and cons

Pros

  • Several users have praised Vonage for its extensive feature set and wide range of integrations, stating that it covers almost every feature and integration imaginable. (Source)
  • Users also enjoy its high-quality voice and video calls and easy configuration. (Source)
  • Users have complimented Vonage Business Communications for its user-friendly interface, particularly when making changes to user profiles, voicemail passwords, and other settings. (Source)

Cons

  • Some users have complained about frequent call drops due to a technical glitch. (Source)
  • Several users have expressed frustration with the extension limit of three devices in Vonage, as it restricts their ability to work efficiently across multiple locations. (Source
  • Users have also reported the software being complex and confusing, particularly when trying to find specific contacts or navigate certain features. (Source)

Here’s a quick breakdown of company sizes based on G2 data for both CPaaS providers:

  • Twilio: 50.2% small businesses, 30% mid-market, 19.8% large enterprises.
  • Vonage: 67.2% small businesses, 23.3% mid-market, 9.5% large enterprises.

Introducing Plivo: A reliable API solution

As the best communication platform for businesses, Plivo offers reliable coverage in over 220 countries and territories, ensuring your messages and calls reach users worldwide. 

In addition to global coverage, Plivo stands out among the three providers for its user-friendly interface, transparent pricing, and a well-rounded combination of customizable features. It has earned strong reviews from users on platforms like G2.

Moreover, Plivo’s user base predominantly consists of small businesses, with 79.1% of its users coming from this segment, 16% from mid-market companies, and 4.8% from large enterprises. This makes Plivo an ideal choice for growing businesses that need a scalable, cost-effective CPaaS solution.

Here’s a quick rundown of Plivo’s API solutions.

  • SMS API: Plivo’s SMS API lets businesses send and receive text messages globally. Whether you're sending promotional offers, appointment reminders, or verification codes, Plivo makes it simple to integrate SMS into your application.
  • Voice API: Plivo's Voice API allows you to make and receive high-quality voice calls, automate workflows with IVR (Interactive Voice Response), and even build custom call centers. It’s great for businesses looking to add voice functionality to their apps or improve customer service by handling calls efficiently with auto attendants.
  • Verify API: Plivo’s Verify API streamlines user authentication with two-factor authentication (2FA), using SMS, voice calls, or email for businesses that need to securely verify users, or add extra layers of security during sign-ins.
  • WhatsApp Business API: With Plivo’s WhatsApp Business API, you can engage with customers on the world’s most popular messaging platform. Plivo simplifies the integration of WhatsApp into your business’s communication strategy, enabling you to send order updates, customer support messages, and promotional content.

Audio streaming: Plivo’s audio streaming feature gives you access to the raw audio stream of your voice calls by transmitting live audio to your backend. Your sales team can use it to:  

  • Build voice-based AI applications that respond to support queries.
  • Get real-time transcription or sentiment analysis.
  • Create IVR systems with conversational support to handle customer requests. 

It stands out for its robust customer support options, especially for premium users, who prefer 24/7 access to assistance. From getting started to scaling, Plivo's support team provides assistance with troubleshooting, guidance, and solutions.

Plivo’s API solutions provide businesses with flexible, scalable communication tools, whether for global SMS, voice calls, secure verifications, or WhatsApp messaging. Their reliable network coverage and responsive support ensure your business stays connected and efficient, no matter where your customers are.

Book a demo to see for yourself.

Nov 26, 2024
5 mins

Understanding One-Time Passcode Fraud

Learn what OTP fraud is and how to protect yourself from online scams using one-time passwords. Stay safe with simple tips and prevention methods.

Fraud Prevention

One-time password (OTP) scams are a growing threat to businesses and consumers alike.

In 2021, US consumers lost a staggering $13.9 billion to fraud, with OTP scams accounting for a significant portion of these losses. This rising trend poses serious financial and reputational risks for businesses.

But what exactly is OTP fraud, and how do scammers exploit it? Let’s see.

What is OTP fraud?

An OTP is sent to individuals by mobile phone or email. It’s used to authenticate transactions, such as logging into accounts or making payments.

Fraudsters, however, exploit this security feature through various tactics. These include SIM swapping, phishing emails, fake tech support calls, and social engineering. They design each of these methods to trick individuals into revealing their OTPs.

How does OTP fraud work?

OTP fraud takes place when an attacker uses the OTP system to gain unauthorized access to someone’s financial accounts or online profiles. Here’s how it works:

  1. Targeting victims: Fraudsters often select targets based on their online behavior, weak points in communication methods like SMS or email, or publicly shared information on social media.
  2. Launching the attack: They employ phishing techniques to impersonate legitimate organizations, such as banks or e-commerce platforms. They focus on creating a sense of urgency through emails, SMS, or phone calls to trick targets into taking action.
  3. Collecting personal information: The phishing messages lead to fake websites that look like trusted ones. Here, targets unknowingly provide personal details like usernames and passwords.
  4. Trapping with OTPs: The fake website triggers the OTP and sends it to the target’s phone. Fraudsters then use various methods to steal the OTP, such as:
  • Social engineering: The attacker may try to convince the individual to share the OTP, claiming it is for account verification.
  • Malware Interception: If malware infects the individual’s device, it intercepts and captures the OTP without the user’s knowledge.
  1. Taking over the account: With the user credentials and OTP, the fraudster can access the account. This allows them to perform unauthorized transactions, steal data, or take control of future OTPs.

Common methods used by scammers

OTP phishing attacks take many forms, each targeting different vulnerabilities in users.

Below are some common OTP fraud tactics:

Smishing

Smishing is a term that combines “SMS” and “phishing.” Here, fraudsters use fake text messages to trick individuals into downloading malware or sharing sensitive information, like OTPs.

Smishing attacks have become more common. In 2023, 75% of organizations reported facing these types of attacks.

Scammers often hide their identity by spoofing phone numbers or sending texts from email accounts. For example, smishing texts often include links or attachments that seem safe but lead to fake websites.

These imitation sites look like real financial or service provider portals, where users may unknowingly enter their login credentials and OTPs. This gives scammers access to real accounts.

SIM swapping

SIM swapping occurs when fraudsters trick a mobile carrier into transferring a victim's phone number.

Here’s how it works:

  • Attackers gather personal information like names, addresses, or answers to security questions, often through phishing, data breaches, or dark web purchases.
  • This information is used to impersonate the victim and contact the mobile carrier, claiming that the scammers lost or damaged the SIM card. They then ask the carrier to transfer the victim's phone number to a new SIM.
  • If the carrier fails to verify the request, the fraudster takes control of the number. From there, they intercept calls, texts, and verification codes, allowing them to bypass security and access sensitive accounts.

This growing problem has had a significant financial impact.

In 2023 alone, SIM swapping fraud caused over $48 million in losses, targeting both individuals and companies

So, to protect your business from SIM-swapping attacks, combining the right technology with a proven approach is essential.

Using Plivo, you can validate phone numbers smoothly, ensuring fraudsters can’t take advantage of SIM swaps.

The Plivo Lookup API helps detect SIM swaps in real time. It offers phone number validation and key analytics to assess risks. Some of the critical data it provides includes:

  • Current and original network details
  • Roaming status and network changes
  • Risk scores and unusual patterns that indicate fraud

Businesses can spot suspicious activity and take action before any harm occurs with these insights.

SMS pumping

SMS pumping, or artificially inflated traffic (AIT), is a cybercrime aimed at businesses that rely on SMS for sending OTPs or app download links.

In this type of attack, bots fill out a company’s online forms with fake phone numbers controlled by attackers. Believing these to be real requests, the business sends out SMS messages to these fake numbers.

For businesses, SMS pumping increases messaging costs, wastes resources, and can overwhelm systems.

Plus, if customers see too many unnecessary OTPs, it may damage their trust in the company.

To address this, Plivo has two built-in security layers—Fraud Shield and SMS Pumping Protection—that help protect Verify and Messaging traffic from SMS pumping attacks. Both features use an advanced detection model to identify artificially inflated traffic and block suspicious messages before they’re sent, helping reduce exposure to fraud and unnecessary costs.

The Geo Permissions feature also gives you control over where messages are sent by allowing you to enable or disable countries and apply message-per-hour thresholds based on your risk tolerance.

Voice phishing (vishing)

Vishing, or voice phishing, is a type of scam where fraudsters use phone calls to trick people into sharing sensitive information, like login details, credit card numbers, or bank account info. Scammers exploit this data for identity theft and financial fraud, making vishing widespread and costly.

In 2023, over 56 million U.S. adults — about 21% of the population — fell victim to phone scams, resulting in losses totaling $25.4 billion.

In vishing scams, attackers often impersonate trusted organizations and use phone calls to create a sense of urgency and trust. They also build a personal connection over the phone, reacting to what the victim says and using emotional cues.

How OTP scams impact businesses

Here’s how scammers misuse OTPs and why this should be a major concern for businesses:

Account takeovers

Stealing or tricking users into sharing their OTP allows fraudsters to bypass security, gain control of accounts, and access private information or funds.

This can harm trust and cause legal problems for businesses, especially those handling sensitive data or finances.

In fact, the average cost of a data breach in 2023 was $4.45 million, underscoring the serious financial impact of such security failures.

Unauthorized transactions

With OTPs, scammers can authorize fraudulent transactions. If they gain access to a customer’s account, they can make purchases, transfer funds, or exploit stored payment methods.

As a result, businesses may face chargebacks, financial losses, and increased scrutiny from payment providers due to such fraudulent activities​.

Fake account registration and spamming

Some scammers use stolen OTPs to create fake accounts on business platforms, taking advantage of promotional offers or testing one-time passcode security.

Fake registrations can distort the numbers, affect data accuracy, and lead to spam, resulting in unnecessary management overload.

Spreading malware or phishing attacks

If scammers access your business email or social media accounts, they can send phishing messages or malware links to your contacts.

Scammers make these messages look authentic, so recipients are more likely to trust and open them. This spreads the scam further and damages your reputation. It also puts your clients, partners, and employees at risk.

Practical tips for protecting against OTP fraud

To effectively protect your business from OTP fraud, it's important to take a proactive approach. Implementing strong security measures can significantly reduce risks.

Here are some practical tips for businesses to safeguard against OTP fraud:

Implement 2FA with fraud prevention

Two-factor authentication (2FA) adds an important layer of security by requiring both a password and an OTP.

However, despite its effectiveness, many organizations are still not fully adopting this security measure. In fact, a recent survey found that 64% of organizations haven't fully adopted multi-factor authentication (MFA).

This is concerning because research shows that MFA can block over 99.9% of account takeover attacks. Without MFA, businesses are leaving their accounts — and their customers — vulnerable to fraud.

Plivo's 2FA/OTP capabilities can help overcome OTP verification vulnerabilities. Adding these extra layers of security prevent account takeovers, reduce fraud risks, and secure high-value transactions.

Additionally, Plivo provides several advanced features to further enhance security:

  • Geo permission management: Control which countries your Plivo account can send SMS or make calls to, blocking high-risk areas.
  • International toll fraud protection: Manage connections to premium numbers and set blacklists to prevent toll fraud.
  • Pattern-based alerts: Get notified about unusual SMS or voice activity, like sudden drops in delivery rates, to detect potential fraud early.

Given the growing risk of cyberattacks, it’s more important than ever to implement 2FA. By doing so, you can better protect your business and customers from fraud.

Monitor and track OTP delivery effectiveness

Delays or failed OTP deliveries can frustrate users, damage trust, and open doors for attackers to exploit system weaknesses.

With Plivo’s real time delivery reports, businesses can monitor OTP performance globally. This helps track delivery rates and identify potential issues. 

Businesses can use this data to quickly address problems and ensure they deliver OTPs promptly and securely.

Limiting OTP validity and attempt frequency

Setting a time limit for OTP validity and limiting the number of attempts helps prevent misuse and reduces fraud risk.

Businesses can also lower the chances of attackers guessing or intercepting valid codes. This ensures that only legitimate users can complete the authentication process within the allowed time.

Regularly update your security protocols and stay compliant

Staying compliant with security standards ensures that businesses are using the latest practices to protect data. This helps guard against new fraud techniques and reduces the risk of breaches.

Choose a OTP service provider, such as Plivo, that ensures continuous compliance with security standards. Plivo designs its OTP solutions to adhere to regulations like the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).

With advanced security features and detailed reporting, Plivo makes it easier for businesses to stay compliant and protect sensitive user data.

Choose a secure algorithm

Use strong algorithms like HMAC-based one-time passwords (HOTP) or time-based one-time passwords (TOTP).

These options are reliable because they generate unique and hard-to-predict OTPs. Their cryptographic methods help protect against common attacks, ensuring secure authentication.

Provide multiple delivery options

Flexibility is important for OTP delivery. Offering choices like SMS, email, or voice ensures users can receive their OTPs in the way that suits them best. 

This also improves user experience and offers a backup if one method doesn't work.

Educate users on security best practices 

Teaching users about security best practices for OTPs reduces the risk of fraud and strengthens overall protection. Encourage users to create strong, unique passwords, avoid sharing OTPs, and recognize phishing attempts.

Regularly remind them about the importance of safeguarding their accounts and following secure authentication processes to prevent unauthorized access.

Prevent OTP fraud with the help of Plivo today

When selecting an OTP provider, it's important to choose one that offers both robust security and user-friendly features. Plivo provides a secure and adaptable OTP solution, designed to fit your unique needs.

Plivo’s OTP services simplify the authentication process, offering global SMS delivery, instant reporting, and customizable templates for easy implementation.

Whether it's safeguarding transactions, verifying users, or securing sensitive information, Plivo’s OTP services offer the reliability and flexibility necessary for your security needs.

Want to see how Plivo can assist in preventing OTP fraud? Contact us today.

Nov 22, 2024
5 mins

What is a Voice API?

Learn what a voice API is and how it streamlines business communication with call routing, IVR, and more. Use Plivo’s features to boost customer experiences.

Voice API
Voice

A voice API is a tool that software developers use to make and receive phone calls programmatically. With a voice API, they can use various channels, phones, browsers, and virtual assistants.

 It connects web or mobile applications to the Public Switched Telephone Network (PSTN), enabling seamless voice communication without needing extensive telecom expertise, time, and developer resources.

Voice APIs are highly configurable, easily integrated, and scalable tools, providing cost-effective communication for businesses.

How much does a voice API cost? 

A voice API costs typically range from $0.003 to $0.014 per minute for outbound calls and $0.003 to $0.022 per minute for inbound calls, depending on call type, provider, and features. 

Prices may differ due to factors like infrastructure, service quality, and additional features like real-time analytics or automated routing. 

Using a voice API makes more financial and logistical sense for businesses than investing resources into developing advanced voice calling features from scratch. By choosing a best-in-class voice API provider, companies can integrate various voice capabilities with a shorter development span and achieve a better ROI. 

Plivo offers cost-effective solutions with competitive pricing while maintaining high-quality services.

Here’s a quick comparison of pricing for each type of voice call between Plivo and Twilio to give an idea of voice API cost structures and offerings.

Voice Call Type Outbound calls (per minute) Inbound calls (per minute)
Plivo Twilio Plivo Twilio
Local Calls Starts at $0.0100 $0.0140 $0.0055 $0.0085
Toll-Free Calls $0.0030 $0.0140 $0.0180 $0.0220
Client SDK (browser, mobile app) and SIP Calls

Audio streaming (per stream/min)

$0.0030 $0.0040 $0.0030 $0.0040

How can a voice API give customers a better experience? 

Integrating a voice API enables businesses to offer personalized, efficient customer support services on browsers or apps with advanced voice features. It can help reduce voice call traffic and wait times in contact centers. These APIs can route calls efficiently through the phone network, including toll-free phone numbers, ensuring smooth call handling.

Unlike older inflexible phone network systems, a programmable voice API supports AI-powered virtual assistants that can receive calls 24/7, understand user requests, and guide customers through their queries as effectively as human agents. With voice recognition and text-to-speech features, customers can express themselves naturally and receive the assistance they need without delay.

The voice bot can also record calls and collect contextual data to prepare agents to resolve the issue when they take over quickly. This streamlined process saves time and preserves the unique, personal touch of voice calling.

Features like click-to-call, voice control, and hands-free interactions also increase flexibility, allowing users to have an interactive and engaging call. 

Wouldn’t it be nice to simply say the query out loud and receive a clear response instantly?

A voice API makes this possible by enabling your company to answer customers' questions instantly without navigating through endless clicks. Voice API seamlessly integrates voice solutions into browsers or apps to transform the customer experience. 

There’s more to it:

  • Interactive and hands-free features: Customers can use click-to-call, voice commands, or hands-free interactions, enhancing convenience.
  • Personalized customer support services: Offer tailored assistance with AI-powered virtual assistants and voice recognition features. These tools help customers articulate requests naturally and get relevant responses.
  • 24/7 availability: AI-powered virtual assistants answer calls anytime, providing immediate assistance, even outside business hours.
  • Enhanced agent support: Voice bots can record calls, gather context, and equip agents with the information they need to resolve issues swiftly when human intervention is required.

Voice APIs streamline communication and create a memorable, user-friendly experience that fosters trust and loyalty.

How can a voice API streamline communication processes?

A voice API makes interactions more efficient and aligned with business goals and needs. Here's how:

  • Makes it easy for customers to connect: Unlike traditional voice calls confined to phone networks, a programmable voice API extends voice capabilities to an app or website. Users can use a click-to-call feature directly within an app or site.
  • Adds efficiency to your team: Automating routine customer interactions allows voice bots to handle a significant portion of inbound calls. This reduces call traffic in the contact center, freeing human agents to manage complex or high-priority cases.
  • Scales with business: As businesses grow, you can seamlessly expand voice-enabled services, ensuring consistent voice call handling without sacrificing quality. For example, businesses can use voice APIs to automate phone calls for marketing campaigns or appointment reminders.
  • Supports developers: From a developer's perspective, a voice API integrates smoothly with other APIs and communication platforms. 
  • Offers robust security: Programmable voice APIs often come with robust security features, including encryption and secure call record storage, in compliance with regulations like GDPR or HIPAA. 

Take, for example, CallHub.

They use Plivo's voice API to simplify communication for political campaigns, offering tools like power and predictive dialers. These features let campaigns reach voters efficiently, connecting them directly with representatives or leaving messages without manual effort. Browser-based calling also ensures volunteers' privacy, making it secure and straightforward for customers to interact.

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Choosing a voice API provider

Programmable voice APIs can range from basic functionality to feature-rich platforms that handle complex voice call flows and integrations. Here’s what to look for when evaluating a voice API provider:

Comprehensive call management features

A strong voice API should include fundamental voice call management functions to make, receive, and record calls, and global audio conferences. To ensure effective communication, look for APIs that offer configurable conference experiences, such as muting/unmuting participants, automatic call termination, and host controls.

Text-to-speech and accessibility options

Text-to-speech (TTS) is essential for both accessibility and user convenience. It converts text into spoken output, making automated systems more user-friendly, especially for multitasking or on-the-go customers. 

Ensure your provider's TTS capabilities support multiple languages and accents to cater to diverse customer needs.

Smart interactive voice response (IVR) systems

A voice API should enable the creation of intelligent, multi-level interactive voice response (IVR) systems that route calls efficiently. 

Smart IVRs can handle straightforward customer service tasks autonomously, incorporating:

  • AI technologies for interactive experiences
  • Intelligent call routing
  • Integration with multiple channels
  • Call recording and TTS capabilities

These capabilities help build customer-first IVR solutions that guide users seamlessly to the right department or agent.

Real-time call handling and notifications

Real-time features such as Answering Machine Detection (AMD) are invaluable for optimizing call strategies based on the type of response received. 

AMD helps identify whether an outgoing call is answered by a human or voicemail, which is especially beneficial for tasks such as lead follow-ups, customer updates, and automated voice surveys.

Integration with existing systems

The right voice API should facilitate integration with communication systems, including SIP-enabled hardware and software. 

This adaptability allows your business to maintain flexibility as communication needs evolve.

Audio streaming

Audio streaming, or media streaming, is a vital feature that sets advanced voice APIs apart. This functionality allows your application to deliver calls while duplicating call media to multiple recipients. It also enables real-time analysis and enhances features like sentiment analysis, conversational AI, call transcriptions, fraud detection, and voice biometrics.

Plivo stands out by offering all of these essential voice API capabilities. Moreover, it offers advanced features, such as:

  • Play audio prompts: Plays pre-recorded audio files during a call, making it useful for IVR menus or announcements. This feature facilitates caller engagement and delivers professionalism in communication.
  • Text to speech: Converts text into natural voice messages in various languages. It supports real-time updates like notifications, reducing dependency on pre-recorded audio and increasing flexibility.
  • Dual channel call recording: Captures conversations with separate audio tracks for each participant. This allows for detailed analysis of interactions, making it ideal for call centers or compliance needs.
  • Custom caller ID: Displays a specific phone number during calls, which builds brand trust and increases the likelihood of calls being answered. It’s particularly helpful for global and region-specific outreach efforts.
  • Get digit input: Collects user responses via keypad entries, making it useful for gathering information such as account numbers or confirming choices during calls. It simplifies customer interactions and integrates effectively into IVR systems.
  • Advanced call control: Gives businesses detailed control over call functions like transfer, mute, and hold. This capability supports smoother call handling and enhances customer support operations.
  • Supervisor coaching: Allows supervisors to listen in on live calls and provide guidance without the caller being aware. This feature supports agent training and improves call outcomes as they happen.
  • Call whisper: Plays a short message to the agent before connecting the call, providing context about the caller or the purpose of the call. It helps agents prepare better, leading to more tailored and effective support.

How does Plivo's voice API work?

Plivo's voice API is a robust framework that enables developers to manage voice communications programmatically with REST APIs to allow comprehensive control over call flows—from initiation to termination. 

Throughout a call's lifecycle, Plivo sends webhooks at various stages, prompting your application to respond with specific commands. This dynamic exchange between webhooks and responses provides granular control over call behavior, facilitating the creation of customized and efficient voice communication solutions.

What makes a good voice API?

A good API is easy to build. It offers flexibility and customization options to cater to different users’ needs and tailor a top-notch experience for your customers. 

Here’s what to look for:

SDKs and robust documentation 

A good voice API provider should offer developers comprehensive Software Development Kits (SDKs) and robust documentation to ease the development process. 

Plivo offers client SDKs for browser (JavaScript) and mobile (native iOS and Android) with no upfront costs. Plus, access extensive product documentation with quickstart guides, tutorials, and product overviews to cover various use cases.

Connect and control calls to any device 

Voice API should allow developers to build powerful voice workflows and integrate voice calling into web and mobile apps. 

With Plivo, you can connect phone calls over the PSTN to more than 200 countries without managing complex telecom carrier interactions. This flexibility extends to SIP-enabled devices and software, allowing seamless connection to your existing SIP infrastructure and enabling advanced communication features in the cloud.

Premium network

A premium network is essential for a voice API to deliver clear, uninterrupted audio quality, as it minimizes delays, reduces jitter, and ensures stable call connections. 

Plivo ensures premium voice quality through its Regional Points of Presence (PoPs), which reduce latency and maintain high call quality using one-hop, in-country carrier connections. 

Great developer support

Sometimes, a voice API can be complicated and needs assistance; make sure your provider offers 24x7 premium support backed by a consultative customer success team that provides the technical guidance and industry expertise developers need. 

Those additional support resources can  include:

Upgrade your business communication with Plivo's voice API

We've covered what a voice API is and what to look for in a provider—now it's time to put that knowledge into action. Upgrade your business communication with Plivo's voice API, a powerful, flexible voice API that meets your business needs.

If you'd like to receive customized rates with guided onboarding and premium support, get our volume prices. A team member will contact you to help determine whether an annual agreement suits you based on your personal use case.

Plivo’s simple, usage-based pricing model ensures that businesses only pay for what they use, making it a cost-effective choice.

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