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

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

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

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

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

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

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.

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.

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
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.

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
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.

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)
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
- 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.
- 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.
- 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.
- 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.
- 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.
Protect Your Customers, Empower Your Business: A Guide to Number Masking with Plivo
Discover how Plivo's Number Masking API shields customer data and enhances business communications. Learn how to easily implement number masking to protect privacy and build trust.
Privacy breaches are obviously bad for business, but the hidden cost of a breach may be more than you realize. When a delivery or rideshare driver misuses a customer’s personal information, it’s not only dangerous but damaging to your brand’s reputation. Such incidents can expose the business to legal and regulatory challenges, as well as increase customer churn and result in a revenue loss.
Number masking is the simplest way to mitigate the risk of a privacy breach and build your end users' trust. Plivo's Number Masking feature enables businesses to mask their customers' and partners' real phone numbers, thereby shielding their actual contact details. Continue reading to discover how number masking works and how to get started.
How does number masking work?
Number masking enables anonymous interactions to safeguard user data during everyday transactions—be it food delivery, hailing a ride, or accepting a package.
Let's consider a real-world application of number masking through the experience of Rahul, who orders groceries online. Concerned about privacy, Rahul wishes to avoid sharing his personal phone number directly with the delivery service.
- Upon placing the order through a grocery delivery app, the app employs Plivo's Number Masking feature to assign a temporary phone number specifically for communication related to this order.
- Rahul, wishing to share some additional delivery instructions with the delivery agent, calls the temporary number provided by the app.
- Plivo's system seamlessly routes the call from Rahul to the delivery agent, utilizing the temporary number. Throughout this process, the actual phone numbers of both Rahul and the delivery agent remain hidden from each other.
- If the delivery agent needs to clarify the delivery instructions or communicate any updates related to the order, he can also use the temporary number to reach Rahul.
Here’s what this process looks like in practice.

Ultimately, Plivo’s Number Masking feature acts as a bridge between customers and businesses, allowing them to communicate effectively without compromising personal phone numbers.
Benefits of Plivo’s Number Masking API
Unfortunately, many number masking solutions on the market require businesses to develop their solution from the ground up, a process that can be both time-consuming and labor-intensive. For many companies, the complexity of implementing number masking presents too high a barrier.
Plivo's off-the-shelf Number Masking API is designed to eliminate this complexity, making implementation straightforward in mere two simple steps.

Get started with Plivo's Number Masking API
With Plivo, your business can bypass nearly 80% of the time and effort required to develop a number-masking solution from scratch. Just a few steps are all it takes to get up and running:
- Register with Plivo.
- Purchase preferred numbers to serve as virtual numbers through the Plivo console, or procure a phone number using the API.
- Create a number masking session using the API by providing the first_party and second_party numbers, along with other required parameters tailored to your specific use case.
- Plivo will automatically handle the assignment of the virtual number to the session.
Congratulations! You've now successfully set up a number masking session. Test the session by initiating a call to the virtual number, which will be correctly routed to the intended recipient.
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What else is possible with Plivo’s Number Masking API?
Beyond providing number masking at an affordable cost, Plivo's API enhances security through PIN-based authentication, ensuring that calls from unregistered sources undergo verification before connection. Plivo's intelligent algorithm also manages the allocation of virtual numbers efficiently, ensuring their optimal use.
Call recordings is another feature available through Plivo’s Number Masking API. While keeping all user information private, Plivo can record calls for quality assurance. Recordings are stored on Plivo servers free of charge for 90 days. Encryption is available for even more security.
Number masking is a transformative tool for businesses aiming to prioritize customer privacy and foster trust in their brand. With Plivo's comprehensive Number Masking API, deploying this security measure is more accessible than ever. For more details refer to our developer documentation.

What Are Customer Service Workflows And How to Build The Best One?
Want to build customer support workflows that drive higher levels of customer satisfaction? Read on to learn more.
Gone are the days when price was the only differentiating factor when customers weighed different solutions. Customer experience (CX) is the new revenue driver, and repeated positive experiences will lead a customer to make repeat purchases or advocate for your business.
The customer experience management market is expected to grow from $19.34 billion in 2024 to $70.20 billion by 2032, at a CAGR of 17.5%, according to Fortune Business Insights. This highlights the growing importance of CX in business strategies. Besides that,
- Gartner reports that 89% of businesses recognize CX as a key competitive battleground
- Statista reveals that 44.5% of organizations globally see CX as their main way to stand out
- Also, customers spend 140% more after great experiences compared to negative ones
However, to ensure an excellent and seamless service process, you must build robust and productive customer service workflows to ensure your agents and CX teams are always equipped to win and retain customers. In this article, we discuss how you can proceed.
What Are Customer Service Workflows?
Customer service workflows refer to processes that help you achieve your customer support goals through a sequence of steps. They act as a pre-defined blueprint of steps that easily integrate into and support your customer service operations.
The process eliminates the need to create new action steps for every customer interaction, enabling agents to be more productive and deliver faster and more effective query resolution.
Consider the scenario of creating a standardized, high-quality onboarding experience for every customer. Now, instead of mapping out a new onboarding plan each time, you’d want to follow a consistent approach that is rooted in proven techniques, like this one:
- Customer signs up for your product
- The customer receives an automated welcome email/message
- Guided product tour with the onboarding team
- Schedule routine check-ins
- Celebrate customer-centric milestones
Importance of Building Customer Service Workflows
Improves efficiency
Automated workflows promote efficiency in customer service operations by streamlining processes, saving agents valuable time and energy otherwise spent on repetitive manual tasks.
According to Salesforce, workflow automation is a top priority for 95% of IT and engineering leaders. This is further iterated by the fact that 74% of IT leaders have saved 4 hours each week by implementing workflow automation.
Builds accountability
You can design the workflows to assign specific queries to specific agents automatically. This defines responsibility and ensures that every query gets an adequate resolution without requiring multiple follow-ups.
A unified system with tighter integrations
These workflows also streamline customer support operations by consolidating all your tools and solutions into a single unified platform. Seamless integrations across your tech stack allow agents to manage all customer interactions in one place.
Agents can perform multiple tasks, such as making and receiving calls while accessing a complete history of the customer’s interactions with the support team—resulting in faster query resolution.
Proactive response
Customers always appreciate prompt and hassle-free solutions to their queries. A customer service workflow helps eliminate operational bottlenecks hindering smoother service delivery.
Agents don’t need to spend hours trying to figure out what works best—they have ready-to-use, plug-and-play workflows that help them focus on delivering a high-quality response.
Performance overview for agents and teams
Dynamic reporting and analytics integrated into the workflows offer a comprehensive view of agent and team performance. This allows for assessing productivity levels, identifying areas where service quality can be enhanced, and implementing strategies for continuous improvement in customer service operations.
Types of Customer Service Workflows
Here are some of the most commonly used customer service workflow examples that might be helpful for your business:
Issue resolution workflows
These are crucial for retaining customers and improving customer service operations.
Here’s what a customer service workflow diagram for issue resolution looks like:
- Issue resolution workflow starts with ticket generation when the customer raises a query
- Sorting and delegating issues to relevant agents/teams
- Solving issues and/or escalating to senior teams or other technical teams/experts
- Deliver the solution or lay out the next steps for customers to follow
- Schedule follow-up or communicate a timeline for follow-up for less critical issues
- Close the ticket on conclusion of the issue
- Send feedback forms to customers to evaluate the quality of support
Chatbot workflows
Chatbots are the ideal channel for round-the-clock support as they facilitate customer self-service experiences.
Here’s what a customer support workflow diagram for chatbot operations looks like:
- The customer types something or opens the chat window
- The chatbot greets the customer and sends a menu with predetermined options/questions
- The customer picks an option from the menu to raise a query
- The chatbot accesses the knowledge base to respond to customer queries
- The customer makes a choice that triggers actions to resolve the issue
- Feedback is gathered from the customer
Customer order workflows
Customer order workflows are integral to the customer experience, particularly for e-commerce businesses. This workflow is automated from the purchase of the product to the final delivery/receipt of the product to the customer.
This is what a customer service workflow diagram for customer order processes would look like:
- The customer places an order
- Order is initiated within the order management system
- Order confirmation is sent via email/SMS
- The warehouse team is notified about the order
- The tracking number is initiated to be shared with the customer
- Product is delivered
- Product feedback workflow is initiated
Product feedback workflows
It is essential to have a customer service workflow dedicated to product development and improvement. How is your product faring? Which features are in demand? Which features need an upgrade? Did the customer face any problems in using your product?
Here’s a customer service workflow diagram illustrating how product feedback workflows are recorded:
- A product feedback form is sent to the customer, acknowledging their effort
- Feedback is routed to relevant channels or segments
- Necessary modifications are implemented into the product
- Final communication is sent to the customer about implementing the product feedback
How to Build a Customer Service Workflow: A Step-By-Step Guide
Here’s a step-wise strategy to create a customer service workflow for your customer-facing operations:
Step 1: Create a simple diagram of your workflow
Unlike the linear diagrams given above for common customer support workflow diagrams, most workflows are much more complex. Each step has multiple ‘if this, then that’ scenarios that need to be accounted for, and it involves the following steps:
Review the current processes
Get started by taking stock of your current workflows. Define each step and the conditions that should be met for the process to be complete. Spotting loopholes in your workflows early on helps retain customers and generate higher CSAT scores.
Alternatively, poorly designed customer service processes are a recipe for disaster. They can result in long wait times, inadequate resolution, and even agent burnout—each of which points to customer churn.
What are the decision points?
Decision points refer to the locations within a workflow where a process branches out. We have already mapped out a few customer support workflows relevant to different scenarios. However, in practice, these workflows are more nuanced and dynamic, which is where decision points come in.
Decision points are where the workflow branches out into if/then scenarios. Here, a ‘then’ action is automatically initiated depending on the 'if' condition.
What are your constraints?
Constraints within the customer service workflow processes refer to regulatory requirements and financial compliance based on service level agreements and time frames.
Step 2: Determine who interacts with your workflow
Multiple stakeholders are involved in completing every workflow. You must clearly define who will interact with queries at each step of the workflow. This typically involves customer-facing teams and front and back-office departments supporting customer service functions.
When building your workflows, consider the following aspects:
Clearly define stakeholders and their roles
To go deeper, identify how each interacts with the customers. Whether the customer experience teams carry out onboarding calls or the tech team ensures quick turnaround on bugs and other tech issues, each individual is a vital workflow component.
Without clearly identifying each contributor's role, your customer support machinery will become a directionless web of actions.
The departments where process stakeholders work
Cross-functional collaboration across departments is essential for smoother movement within a customer service workflow. Let other departments involved in the workflow know how to prioritize and enable the resolution of customer service requests.
Step 3: Identify your data requirements
Knowing what data will be required to drive these workflows is an equally important step. Within automated systems, the support team must know where all the essential data is stored and how it will be synchronized between different stakeholders and departments.
How will data be connected?
Define how the data handoff between various stakeholders and departments will take place. Consider the scenario where an existing customer wants to add more features to their package. The process must ensure that all the necessary data reaches the product or other relevant departments.
What does your tech stack look like?
The software you choose must be compatible with the tech stack other teams use to ensure an automated and error-free flow of information between different systems and departments.
Step 4: Use workflow automation tools
Integrate your workflows using automation tools. These tools enable users to create and customize workflows without switching between tabs and/or windows.
Plivo CX's drag-and-drop workflow builder allows you to effortlessly create tailored customer journeys across all communication channels in just a few clicks. With enterprise-grade security and integrations like Shopify and Salesforce, the platform streamlines communication and enhances customer experience.
Step 5: Test and refine
Finally, the efficacy of every workflow is tested using real scenarios. At this stage, you must be able to answer the following questions: Has the customer support workflow truly advanced you toward your customer support objectives and/or improved your support team’s efficiency?
Optimize customer service workflows by A/B testing multiple variants. Compare performance under identical scenarios and conditions to identify the most effective version, ensuring continuous improvement and the best possible customer experience.
Best Practices for Creating Customer Service Workflows
Let’s take a look at some of the best practices you can implement to drive higher ROI with your customer service workflows:
Opt for the right tech stack
Don’t rely on your CRM or voice software for customer support communications. Deploy an integrated customer support platform to your customer support workflow processes. Consolidating all your important tools into a single interface will simplify the creation of new workflows.
Embrace continuous improvement in customer service processes
Given the ever-growing expectations of customers today, your customer support management should be able to stand the test of time. Conduct regular process audits and upgrade your customer service workflows to meet the needs of modern customers.
Follow a customer-centric approach
When building your customer support workflows, keep your customers front and center. Maintain a consistent, high-quality experience for them from the start and throughout their journey with your brand.
Enhance Customer Service With Plivo CX’s Drag-And-Drop Workflows
The right solutions, such as building a customer service workflow, can be your gateway to establish more reliable customer service processes and boost customer satisfaction.
Plivo CX's drag-and-drop workflow builder simplifies the creation of powerful automation workflows for customer journeys. Its intuitive interface allows users to connect components, configure them within the workflow, and even trigger workflows remotely using APIs.
Also, features like easy handoffs to human agents and skill-based routing enhance efficiency. Plivo CX prioritizes enterprise-grade security and integrates with various platforms like Shopify, Zoho, and Salesforce.
Whether you need solutions for e-commerce, automated flows, or proactive customer service, Plivo CX’s comprehensive resources and features empower businesses to streamline communication and improve the customer experience.
Book a demo now to learn more!

Omnichannel vs Multichannel Customer Service
Learn how omnichannel and multichannel customer support differs, and find out which method offers the most seamless experience for your customers.
"We see our customers as invited guests to a party, and we are the hosts. It's our job to make the customer experience a little bit better." – Jeff Bezos.
Bezos is absolutely right. And to create that welcoming, engaging party atmosphere, brands are now leveraging a multitude of communication channels. They're connecting with customers through AI chatbots, WhatsApp, email, SMS, social media, and even personalized calls or meetings.
Despite the best intentions, there's always room to improve the customer experience, and many of us have encountered moments where it could be better.
In a 2024 study, Forbes indicates that 64% of customers admitted they would switch to another brand if they found poor customer service, even if they liked the product. To overcome this, businesses are now focusing on making data-driven decisions.
They also seek to enhance their customer service with two distinct approaches: omnichannel customer service, which can retain 89% of customers year over year and multichannel customer service, which leads to an increase in both in-store and online sales.
Although omnichannel and multichannel customer service sounds similar, they are distinct approaches. Omnichannel customer service involves providing a seamless experience across channels, whereas multichannel customer service is more siloed, offering support on separate channels.
In this blog post, we’ll deconstruct what they are, how they work, and how to select the right one for your business growth.
Let’s begin!
What is Multichannel Customer Service?
Multichannel customer service offers support on multiple channels, such as email, phone, and social media. However, each interaction is handled separately.
As a result, this approach can lead to significant drawbacks. For example:
- In a multichannel contact center, customer support teams often operate in silos, lacking access to a complete view of the customer's interactions across different channels. This results in disjointed conversations and vague responses, ultimately leaving customers frustrated and dissatisfied.
- Customers may have to start from the beginning for each new interaction until they receive satisfactory support, which can turn them away and result in lost sales.
Imagine a customer emailed a company about a problem with their recent order. However, this customer had previously called the company to discuss the same issue, but the email representative had no record of that call. So, the customer ends up having to repeat their entire story and explanation, causing frustration and a sense of being unheard.
This is a classic example of the disconnect that can happen in a multichannel contact center.
Such a lack of synergy in multichannel customer support highlights the priority of goods and services over customer satisfaction, which can potentially hamper future purchasing decisions.
What is Omnichannel Customer Service?
On the other hand, omnichannel customer service establishes a frictionless omnipresence of customer service. It provides interconnected, all-time-present, and consistent customer engagement across all communication platforms.
As a result, regardless of the platform that customers choose, there is no room for a disrupted and annoying experience. Instead, customers receive highly tailored solutions based on their individual interactions and purchase history, fostering a sense of loyalty and understanding.
For example, consider PayPal Happy Returns to understand the omnichannel environment. To streamline PayPal's omnichannel return solution process, customers can initiate returns directly from the retailer's website instead of a separate website or app. They receive a QR code, visit a Return Bar location (partnered with Ulta Beauty), scan the code, and get a real-time refund without packaging or labels.
To be specific, an omnichannel contact center revolves exclusively around customers' requirements and priorities rather than products or services first.
Omnichannel vs Multichannel Customer Service: A Quick Comparison
Benefits of Omnichannel Customer Service
According to Deloitte, with omnichannel relationship management, you can earn loyalty from up to 62% of customers. Let's explore how it can be accomplished:
✅ Unified customer context
First, your customer support teams need a cohesive context to win over your customers’ buying psychology. For this, they gather consolidated data through omnichannel communication, segregate it, and map a strategic customer journey to suit their needs.
Salesforce State of Service highlights that it’s nearly impossible to provide great customer service without full customer context. Therefore, focus on these aspects to build more context:
- Have a sharp eye on your customers' queries, be it their problems or interests
- Distribute data across different channels with ease
- Help customers smoothly transition from one platform to another
- Create a clear feedback avenue for your team members as well as customers
✅ Lower resolution time
Naturally, customers tend to prefer effective assistance without waiting in a long queue or going through multiple follow-ups. With omnichannel support, you can reach them through a wide range of touchpoints while taking positive action with valuable knowledge.
Since 90% of customers consider an immediate response within 10 minutes a sign of a better experience, omnichannel support helps you go this extra mile by lowering average resolution time. Doing so increases the possibilities of making your customers happy and turning them into your brand’s loyal advocates.
"Happy customers are your biggest advocates and can become your most successful sales team." — Lisa Masiello.
✅ Higher NPS and CSAT
With omnichannel customer service, you can efficiently provide what your customers want and treat them with the same care and consideration you'd expect from trusted friends and family. This personalized approach fosters a sense of value and belonging, making them feel truly appreciated.
This way, increasing the “Customer Satisfaction Score” (CSAT) no longer remains an unbeatable challenge, and it positively impacts the “Net Promoter Score” (NPS). Your satisfied customers continually engage in word-of-mouth marketing, recommending your brand to their dearest ones without hesitation, even before you ask for a referral.
✅ Better quality of collected customer data
Insights from PWC show that American consumers value speed, convenience, and knowledgeable help. This underscores how these factors can bring customer loyalty, reduce customer attrition, and enhance customer lifetime value.
However, achieving this may not be possible without clean and in-depth data, and this is where omnichannel service plays a bigger role. Adopting it can lead to a flawless understanding of opportunities and challenges and crafting data-rich strategies.
To make it more accountable, the following approaches can be helpful:
- Be thoughtful about which type of customer data you want to track
- Prioritize data quality over quantity to head in the right direction
- Remove redundant or bloated data from the system to stay updated at all times
- Ensure cross-checking of the accuracy of individual customer data before making offers
Omnichannel vs Multichannel Customer Service: Which Approach Can Be Better for Your Business?
To put it simply, neither is “better” than the other—it solely depends on the business's needs. All you need to do is decide which is essential to reducing customer friction.
Here’s how you can proceed with choosing the most suitable option for your customer service:
👉 Know your customer well
Prompt assistance, more convenience, personalized interaction, or a hike in valuable offerings—consider what your customers are looking for. Taking their choices and feedback into account can shape your strategy with the right choice of customer service.
After all, if your customers come first, they will last.
👉 Evaluate existing resources and their capacity
Next, identify your budget range. Can you satisfy your target audience with your existing resources, or do you need more?
Finding specific answers to these questions and jotting down a list of your backup options can help you choose the right operational method through top customer service channels and smoothly run them.
👉 Think about your long-term goals
Will you target an expanding customer base? Or do you want to launch more unique features to level up brand value and customer experience? If you decide to make your path more scalable and flexible, sticking with or switching to a synchronized service would be a great choice.
👉 Make a decision based on your current situation
As Salesforce data suggests, 76% of customers expect a unified experience across all departments of a brand. Therefore, incorporating flawless omnichannel support becomes an obvious choice. However, it requires skilled people, modern technology, and sufficient financial resources.
Based on your current capabilities, either move forward with omnichannel service or continue with multichannel, upgrading it later if resources are limited now.
Offer a Superior Omnichannel Customer Service with Plivo CX
Both omnichannel and multichannel customer service strategies aim to enhance customer interactions, but omnichannel provides a more integrated and seamless experience. This improves customer satisfaction compared to multichannel's potentially fragmented approach.
If you want to leverage the power of a true omnichannel customer service platform, Plivo CX comes with a Unified Agent Desktop that brings channels such as AI-powered chatbot that works for all messaging channels like voice, SMS, email, and WhatsApp together in a single interface. Handle interactions seamlessly without switching between multiple tools.
With OpenAI-powered chatbots, IVR and voicebots, you can optimize customer service costs while quickly handing over complex issues to suitable agents. No-code workflow builder empowers businesses to create personalized customer journeys across all communication channels.
Plivo CX can also help you quickly integrate with the existing tech stack and homegrown systems. You can also coach agents with comprehensive live metrics and historical reporting.
On top of everything, it is powered by Plivo’s award-winning, reliable and high-quality carrier network.
To see Plivo CX in action, schedule a demo today!

How Much Does Customer Support Cost and How To Reduce It
If you’re a business leader or a head of customer support, here’s how you can calculate how much your customer support costs and tips to reduce it.
Introduction
The role of prompt, result-driven and empathetic customer service in shaping brand perception and building long-term relationships hardly needs an introduction.
According to the Journal of Consumer Research, studies show that 90% of consumers expect immediate responses to their inquiries, and companies that meet these expectations see significant improvements in brand perception and customer satisfaction.
However, customer service leaders face unrelenting pressure to deliver more value to customers while reducing costs to the business. Here’s where getting the customer support calculation right and using strategies to optimize the cost becomes necessary.
Reducing costs also requires a comprehensive understanding of a customer service unit's P&L. This equips leaders to understand the nuances of different cost verticals and helps them design their cost optimization strategy.
In this article, we go through the various costs associated with building a robust customer support system and highlight proven customer service cost optimization strategies.
Why is Calculating Customer Support Costs Important?
Here’s how calculating customer service costs helps you identify gaps and fix them early on:
1. Effectively align the resources needed
With costs at hand, business leaders can gauge their support human resources sufficiency better. This helps avoid overinvesting or underinvesting and guarantees that you do not have SLA breaches.
This strategic approach minimizes expenses such as workforce and onboarding costs and improves the overall effectiveness of customer support operations.
2. Streamline the overall process and improve efficiency
Identifying areas suitable for automation or efficiency improvements through software or enhanced employee training is key to reducing customer service costs. This leads to happier customers due to faster response times and improved issue resolution, boosting your team's productivity.
Ultimately, this translates to increased customer loyalty and repeat business, all while optimizing your operational budget.
3. Make faster decisions to identify investments
Knowing how much customer service costs early on, instead of being an afterthought, helps you make quick decisions about whether to invest in a particular technology or downsize the investment.
For example, you’re spending way more on legacy software in terms of yearly renewal and maintenance costs, and the learning curve is so high that your agents are not using it to its full potential. Instead, you could move to new-age software with pay-as-you-go pricing to make it more viable and show the ROI to your stakeholders.
How to Calculate Customer Service Costs?
The total customer service cost can be divided into three parts:
1. Workforce cost
This is defined as the cost of employees, their salaries, benefits, onboarding, IT and training, and any additional costs associated with your customer support team.
For organizations with a well-established customer service department, workforce costs are higher than software and hardware costs.
2. Operational cost
For your customer support employees to diligently resolve endless customer tickets, there has to be a robust infrastructure supporting them. Everything comes under operational costs, including rent, equipment costs, and software licenses.
Some companies also offload these costs by hiring outsourcing partners. However, remember that outsourcing comes with the burden of limited accountability and limited process control.
3. Customer churn cost
Ineffective customer service can drive customers away, resulting in lost revenue and additional expenses to acquire new customers. These hidden costs can significantly impact your bottom line. Investing in quality customer support can not only retain valuable customers but also save you money in the long run.
It is often the case that some of the above costs are shared between different teams.
If you are in a dilemma of whether a cost head should be included, this LinkedIn post from the Senior Director of Sun Country Airlines guides you on how to approach this:
Industry Customer Service Cost Benchmarks
Here are some customer service cost benchmarks across large (greater than $100M ARR), medium ($10M to $100M ARR) and small(less than $10M ARR) companies that you can use to compare your company costs. The segments are identified to normalize the economies of scale and the stage of the company.
- Large-sized companies: 39% of them have customer service team costs 5% or lower than their ARR.
- Medium-sized companies: 22% of them have customer service team costs in 5% to 10% range and 35% have them controlled under 5% of their ARR.
- Small-sized companies: The percentage of companies are uniformly distributed across from >30% to <5% of ARR except having 25% companies lying in 15% to 10% ARR range.
As per a study in 2021, below is the average breakdown of the customer service desk costs worldwide in 2021. The study also highlighted that the breakdown remained relatively consistent from country to country and region to region

Important KPIs for optimizing customer service costs
Now that we know the different customer service cost functions, let’s look at the customer service examples and KPIs you can use to optimize costs:
Cost per support ticket
The cost per support ticket tells you how much you spend per customer query. This metric gives an overview of the complete support function and helps you gauge cost optimization results.
To find the cost per support ticket, use this formula
Total customer support spending/ Number of tickets = Cost of support per ticket
Total customer support spending includes all the costs like rent, maintenance, payroll, and software licensing fees.
For example, if you spent $3200 on 1000 tickets, your cost/ticket becomes $3.2. This can become your go-to metric to take product or hiring-related decisions with holistic understanding of the impact on margins. You can further deep dive into this metric by understanding if there are specific clients or geographies with high cost/ticket driving this.
A study finds the below channel wise cost metrics for the North American market in 2021. It shows that the cost of self-help channel is on average 8X better than voice or chat based channels.

Cost of support per order
Calculating customer service costs requires taking into account both acquisition and retention expenses. A portion of every dollar spent on acquiring new customers is necessary to retain them, emphasizing the importance of accounting for retention and support costs.
To calculate the cost of support per order, use this formula:
Total customer support spend/number of orders = cost of support per order
A high support cost per order can be a red flag, indicating potential inefficiencies in your support team’s workload. This situation requires an immediate review of your internal processes to streamline operations.
Cost per revenue
Calculating customer support costs relative to revenue helps determine whether support costs are justified and sustainable for your company.
To calculate the cost per revenue, use this formula:
Net sales/ Total Number Of Tickets = Cost Per Revenue
Strategies to Reduce Customer Service Costs
Customer self-service options
Chatbots are one of the most reliable ways to meet customers’ needs 24/7. Without heavily investing in a team to be always available, you can leverage an AI-driven chatbot and enable customers to self-service as required.
Chatbots automate customer resolutions enhancing your capability to cater to a large ticketing volume with a small team size, resulting in lower overall customer support costs.
Plivo CX offers an intuitive chatbot developed in partnership with OpenAI. It ensures your customer support remains state-of-the-art. With no coding required, you can build your AI chatbot in minutes and train it using only the selected content, ensuring accuracy and relevance.
Besides, you can also enhance your customer service efficiency with our fully customizable voice IVR. Allow callers to self-select options for quicker routing, reducing wait times. Personalize the customer experience by using customer data in greetings and voice prompts.
Omnichannel customer support
Let your customers contact your support team via their preferred channels. An omnichannel customer support platform like Plivo CX provides a unified agent desktop with real-time support across channels, including AI-powered live chat, voice, SMS, email, and WhatsApp.
This eliminates the need to switch between different applications. Service agents can quickly get all the context-building customer information in a single window.
Agent training
Plivo CX’s metrics and reporting feature has live agent dashboards to reskill your customer service team and historical reports for in-depth insight and agent coaching. Some of the standout coaching features that help you reduce customer service costs are call recording, call barge and whisper, and CSAT collection.
Customizable workflows
With drag-and-drop workflows, you can simplify your processes and boost efficiency. Customer service teams can quickly configure and automate complex customer journeys, drastically reducing the time and effort required for setup and management. The workflows can also be integrated with homegrown systems.
How Do You Calculate the ROI of Customer Support?
Customer support linked upsells and cross-sells
Find out how many upsells and cross-sells have happened after a customer support touchpoint within a desired timeframe to gauge the revenue generated from this activity.
However, you might need a well-integrated backend system to accurately monitor upsell and cross-sell data.
Once you have the data, apply this formula:
ROI = (Revenue from upsells and cross-sells - Customer support costs) / Customer support costs * 100
This formula gives you a percentage representing your customer support’s ROI. It shows if your investment in customer support is worth it.
Retention
Another way to estimate ROI is to find how the customer support team influenced an existing customer's decision to renew the service. Retention is a long-term metric that varies from company to company.
Once you have your retention metric defined, apply this formula:
ROI = (Revenue from renewals - Customer support costs) / Customer support costs * 100
A higher ROI indicates lower churn rates, which directly reflect the impact of your actions on customer loyalty. It shows how your customer service efforts contribute to customer retention and revenue growth.
Indirect returns
While the above two methods discuss direct ways of measuring ROI estimates, the customer support team also brings some benefits that are hard to quantify.
For product and marketing teams, customer support teams serve as the first point of contact to understand customer pain points. This feedback is essential for continuous product development and impacts the overall customer experience.
Here are some questions to help measure these indirect benefits:
- How many bugs did customers report?
- How many customer-suggested features were added?
- How many sales leads from support interactions were converted?
Though these numbers are challenging to track, they are vital for understanding the ROI of customer support.
Enhancing the Overall Value of Business Through Customer Support
Undoubtedly, it is challenging for leaders to balance exceptional customer service and cost optimization. However, understanding cost structures and reviewing KPIs and ROI of support functions can hedge cost components and secure business growth.
As a proper omnichannel customer service solution, Plivo CX can help you reduce your customer service costs while maximizing customer experience as you can drive a seamless experience across channels, create several touchpoints with customers, and empathetically interact with them 24/7.
It also leverages Plivo’s award-winning carrier network so that you can deliver top-notch services across the globe, on the channels your customers prefer.
To learn more, book a demo.

Customer Service Automation: A Quick Guide to Getting Started
Learn about customer service automation, its examples, channels, and the best customer service automation software, Plivo CX Service.
A McKinsey report suggests that 60% of global consumers consider convenience a key factor when choosing where to shop. Thus, businesses that fail to offer convenience risk losing customers to competitors who do.
But what happens when your customer support inquiries outgrow your support team’s capacity? Or when customers reach out for help on holidays or outside office hours?
Providing consistent, top-notch customer support becomes more challenging as your business grows. Customer dissatisfaction skyrockets by 262% when wait times exceed what customers anticipate.
In this scenario, customer service automation comes to the rescue.
If you’re looking to discover its potential and implement automated customer service for maximum client satisfaction, this detailed guide is for you.
What is Customer Service Automation?
Customer service automation involves integrating an assortment of automation technologies, including self-service chatbots, IVRs, automated notifications, and more, into your customer support operations. The goal is to elevate the customer experience, offering a level of service that surpasses what human agents alone can provide.
A McKinsey report points out that one of the remarkable shifts in post-COVID consumer behavior is shifting notions of brand loyalty. With more options open and available than ever before, customers aren’t shying away from trying out (or switching) to a competitor.
Therefore, working proactively to build brand loyalty is crucial. And what’s one of the essential ingredients for building brand loyalty?
An enhanced, empathetic and prompt customer service.
Automated customer service lets you achieve this. It blends with traditional support methods, such as one-on-one customer calls, to handle large customer queries without running out of resources.
Some other notable benefits of customer service automation are as follows:
- 24/7 availability
- Quick redressal of common queries and FAQs
- Intelligent ticket routing
- Improved overall customer satisfaction
The difference between traditional customer support and automated customer support
Traditional and automated customer support are not opposing forces but complementary elements in modern customer service. The optimal strategy blends the strengths of human interaction with the efficiency of automation to create the best possible customer experience.
Here are some fundamental differences between traditional and automated customer service:
How Do You Implement Automated Customer Support?
Customer service automation takes place through various software channels, such as:
1. Self-service AI chatbots
Powered by the latest generative AI technology, AI chatbots quickly respond to customers’ queries, direct them to knowledge bases, and create tickets. Advanced chatbots even hold a full-fledged conversation with your customers and completely resolve their queries. When unable to assist, they hand off queries to the right support agent.
Ideal for: Resolving repetitive customer issues and queries. AI-powered chatbots can be trained to tackle complex problems using your product’s knowledge base and take action on connected business systems like order management, CRM, payment systems, and helpdesks to resolve requests. Chatbots can also transfer conversations to a human representative for more complex or sensitive issues that require a personal touch.
2. Automated ticketing systems
Automated ticketing systems classify and route complex customer queries to the most appropriate POCs. They collect the relevant customer data, such as images, issue descriptions, and other details, before transferring it to the right touchpoints.
For instance, a transaction issue would be automatically directed to the finance team, while a product quality concern would involve the most suitable point of contact. This streamlined process ensures that each query receives prompt attention from the most qualified personnel.
Advanced ticketing systems also:
- Nudge agents to take action when tickets are open too long
- Keep customers informed about their ticket status
- Assign tickets based on agent workload and availability
- Suggest self-help resources
Ideal for: Handling transaction-related or product-quality issues that require human intervention but are not urgent. These systems streamline the process, addressing customer concerns promptly while freeing up your support team.

3. Knowledge base
A knowledge base includes product guides, FAQs, video resources, and glossaries that help users with the most common concerns.
A lot goes into creating a worthwhile knowledge base—looking at your support ticket data, analyzing your products, services, or policies, reviewing specific use cases, compiling inputs from cross-functional teams, and organizing it all neatly in a format customers can engage with.
An effective knowledge base fosters self-help and integrates well with your AI chatbot. Once your customer faces an issue you covered in your knowledge base, chatbots redirect your customer there for detailed step-by-step assistance.
For instance, take a look at the omnichannel customer service platform Plivo CX’s knowledge base:

In addition to video guides, this knowledge base provides articles and resources to help users fully understand and utilize the platform's many features.

Ideal for: Covering product demos and tutorials, use cases, or informing customers about your product’s return or refund policies.
4. Canned responses
Canned responses are pre-written text messages that your customer service agents can use to chat with customers quickly. They help improve agent response times and reduce agent fatigue. They also help incorporate brand voice and tone in customer communication across channels.
For instance, an agent named John can have a canned response that says, “Hi, I am John. I will assist you with your issue today.”

Ideal for: If your website doesn’t have a live chat feature or your customers prefer reaching out to you over email, implement canned responses for FAQs related to products, services, returns and exchanges, and pricing to decrease the response time.
5. Voicebots
Leveraging the advanced capabilities of conversational AI, natural language processing (NLP), and speech recognition technologies, interactive voice-based assistants add a layer of superior and personalized customer service to your business while lowering operational costs. They understand customer sentiments and optimize call routing by sending high-priority issues to the right team. Moreover, AI-driven bots can provide round-the-clock service to customers in the language of their choice.
Ideal for: Handling tier-1 support queries and routine inquiries. In healthcare, voice bots can schedule appointments and provide information on treatment options. In banking, a voice bot can verify a customer’s identity and perform tasks like checking the account balance and blocking a stolen card.
The Advantages of Automated Customer Support
1. Allows for seamless scalability
Your mid-sized business may be managing customer support with a small team today, but as your business grows and customer inquiries increase, your team will soon reach its limit.
Customer service automation handles thousands of customer interactions simultaneously. Plivo CX integrates with your existing tech stack as you grow—ticketing, order management, CRMs, and more.
Additionally, you get to build customizable no-code workflows that are automatically triggered with any inbound call or text. For example, you can set a workflow to route high-priority and usual customers to different queues.
2. Provides 24/7 support availability
24/7 availability simply means allowing customers to reach out for support anytime. You also risk customer churn if you are slow to respond or hang up on them. Plus, hiring night shifts is not just expensive, but night-time workers are also at a higher risk of anxiety and mental health concerns.
To avoid this, AI-powered chatbots ensure customer queries are answered round the clock, whether your support team is online or not. To elevate the customer experience further, Plivo CX partners with OpenAI to offer intelligent chatbots you can easily train and connect with your existing knowledge base.
Also, the platform’s drag-and-drop workflow builder allows businesses to create custom customer journeys across all their communication channels. Not only that, the platform seamlessly integrates with various systems, including homegrown solutions.
3. Improves agent efficiency
Apart from handling customer concerns, your customer service automation tool empowers agents to focus on value-driven activities such as attending to complicated questions, upskilling, analyzing and improving performance.
For this, Plivo CX offers a Unified Agent Desktop that offers a clutter-free agent interface. On the left pane, agents can toggle seamlessly between incoming customer calls or messages.
They can also use and switch between every channel—voice, chat, text/SMS, and WhatsApp—all in one place. Furthermore, agents have real-time access to complete customer information, ensuring contextually relevant and personalized interactions.

4. Enables omnichannel communication

Omnichannel communication involves addressing customer issues and communicating with them on the channel of their choice, be it voice, email, WhatsApp, call, or SMS. This is slightly different from multichannel customer communication and can deliver a seamless customer experience more effectively.
As an omnichannel customer service platform, Plivo CX lets you seamlessly switch between voice, OpenAI-powered live chat, SMS, MMS, email and WhatsApp, or use multiple channels simultaneously from one screen.
It also offers out-of-the-box integrations with Salesforce, Zendesk, and Shopify to centralize your customer information in a single source of truth. Moreover, you can configure omnichannel customer journeys that help with better CSAT via intelligent routing and better problem resolution.
5. Helps you gain valuable customer insights
The right customer service automation tools help you monitor what’s going on at your call center up close. They come with features like live dashboards that help you see agent productivity in real time, along with powerful reports to make your call center processes better.

The Service module of Plivo CX offers access to powerful live metrics with features like Call Barge or Whisper to let supervisors take over when agents feel stuck while talking to customers.
Top Customer Support Automation Tools
1. Plivo CX

Plivo CX is web-based customer service automation software that enhances agent productivity and elevates customer satisfaction. The platform supports multiple communication channels, enabling businesses to engage with customers via AI bots on messaging channels, voice, SMS, email, and WhatsApp to offer a seamless experience for both customers and agents.
It also leverages Plivo’s award-winning global messaging and calling network to provide customers with fast, faultless communication. So, there is no dependence on third-party services.
Plivo CX is a perfect fit for midmarket B2C and eCommerce businesses because it seamlessly integrates with CRM systems, help desk software, marketing automation platforms, homegrown systems, and so on.
Key features
- Leverage OpenAI-powered chatbots, IVRs, and knowledge base integration to automate a large portion of your inbound customer queries
- No-code drag-and-drop workflow builder lets you decide how you exactly interact with customers across channels
- Make contextual and historical customer data available in a Unified Agent Desktop from your CRM or other systems so that your agents can seamlessly switch between voice, chat, text/SMS and WhatsApp
- Measure your agents’ performance using historical reports and live dashboards, along with comprehensive support for coaching
Limitations
- It is not ideal for transactional ticket-based support
- Lacks quality assurance and workforce management features
- No mobile version for support agents
2. Aircall

Aircall empowers customer service with features like intelligent call routing, missed call tracking, call context and analytics, the ability to blocklist numbers, and more.
It also supports collaboration via shared contacts, enabling your team to follow customer conversations. Aircall’s customer service automation software offers analytics to gain granular details of your customer service center performance.
Key features
- Get customer context on every inbound call with Insight Cards
- Smartflows Call Routing lets you build inbound call flows to redirect calls to the right agents
- Get insights into analytics like total inbound or unanswered calls or talk-to-listen ratios
Limitations
- Rudimentary workflow designer lacks flexibility for custom journeys needed by larger businesses (Source)
- Offers only voice-based customer support, lacks helpdesk and knowledge base features
- Has robust features for voice support but does not support other channels
3. Zendesk

Zendesk is an all-in-one customer service automation tool that supports omnichannel communication. It offers services such as call support, chatbots, ticketing, and knowledge base creation and integrates with 1,200+ pre-built apps and business sources.
Key features
- Zendesk works predominantly on a ticket-based approach where complex customer queries are routed as tickets
- Its AI-powered chatbots, called AI agents, offer personalized support and provide human agents with necessary context when needed
- Integrates well with most of the popular software and apps in your tech stack, including CRM systems, and offers immense potential for customization
Limitations
- Live monitoring and coaching capabilities are missing (Source)
- Has limited calling capabilities (Source)
- Lacks customizable workflows
- Relies on a transactional ticket-based system for all interactions
4. Talkdesk

As an AI-powered contact center solution, Talkdesk offers self-service AI, omnichannel support, and a customizable customer journey builder. It also offers support for training, coaching, and managing your customer service agents and analytics to measure customer satisfaction.
Key features
- Provides a user-friendly interface that allows easy navigation for agents to access customer information and handle calls efficiently
- ACD intelligently routes incoming calls to the most appropriate agent based on skill set, availability, or customer history
- Supervisors can monitor live calls or review recordings to provide feedback and improve agent performance
Limitations
- Offers a voice-only base pack, which is pretty expensive
- Requires separate helpdesk software for comprehensive interaction management
- Relies on a third-party service for voice calling functionality
- Lacks native omnichannel capabilities, limiting seamless customer interaction
How Plivo CX Helps With Customer Service Automation
Deliver exceptional customer service anytime and anywhere with Plivo CX’s tailored solutions. Proactively meet your customers' needs on all fronts and exceed their expectations.
As a cloud-based omnichannel platform, Plivo CX empowers businesses to automate customer service through AI-powered chatbots that provide instant support, intelligent ticket routing to ensure inquiries are handed over to the right agent and a Unified Agent Desktop for seamless access to customer information.
Additionally, the platform offers self-service options like knowledge bases and FAQs, reducing agent workload and empowering customers to find answers on their own.
This comprehensive automation streamlines customer service operations, improves efficiency, and enhances customer satisfaction.
To learn more, book a demo today!
How to Send an SMS Verification Code in 5 Minutes
Start sending OTPs in one second with Plivo’s Verify API. Learn how to easily enhance user security with SMS verification codes in five minutes.
SMS verification codes can significantly enhance your security measures, providing a quick and effective way to verify a user’s identity. Integrating text message verification codes into your authentication process can save time, streamline workflows, and strengthen user trust.
Plivo’s Verify API makes it easy to start sending one-time passcodes (OTPs) in one second or less. In this guide, we’ll explain why SMS verification is so effective and show you how to set it up in just 5 minutes. Our API allows you to send your first OTP in 90% less implementation time than a legacy verification solution. We'll also provide step-by-step instructions to ensure you can quickly and easily incorporate one-time passcodes (OTPs) into your applications.
Why should I use SMS verification codes?
While SMS verification isn't foolproof, it's a widely used and convenient security measure. One-time passcodes delivered via SMS or voice add an extra layer of security to online accounts, making them more difficult to break into. Accounts with one-time passcodes enabled as part of two-factor or multi-factor authentication make it much harder for hackers to break in, even if they steal your password.
Financial institutions, e-commerce sites, streaming platforms, and delivery apps. For instance, SMS verification can confirm that the person logging into a peer-to-peer payment platform is the account owner. This can help prevent unauthorized purchases or account takeovers.
Prerequisites to send one-time passcodes
Before we dive in, make sure you complete the following requirements:
1. Plivo account: Sign up for a Plivo account if you still need to do so.
2. API key and token: Obtain your Plivo API key and token from the Plivo console.
3. Phone numbers: Ensure you can access the phone numbers to which you intend to send verification codes.
4. Programming environment: Set up your programming environment with the necessary libraries to interact with the Plivo API. Install the Plivo SDK for your programming language: Plivo supports Python, JavaScript, Ruby, and many more languages.
In summary, make sure you have a Plivo account with an application created. While creating the application, define the right session expiry, attempt, OTP length, etc. You will also need to get a library/module/SDK for making HTTP requests to Plivo's API (this is available in various programming languages) or directing HTTP requests to Plivo’s API.
With these prerequisites in place, here’s how to start sending OTPs.
Create a session
Plivo’s Verify API can be used with Python, Ruby, Node, GO, PHP, .Net, Java. This article will focus on Python.
Step 1: Install Plivo SDK
First, you need to install the Plivo SDK for your programming language. For Python, you can use pip:
Step 2: Configure Plivo Client
Initialize the Plivo client using your Auth ID and Auth Token:
Step 3: Send the OTP
Create a Verify session for sending OTP:
Arguments:
- recipient (string): The phone number to which the message is to be delivered. It's a mandatory parameter.
- app_uuid (string): The UUID of the application you want to use for this session. Defaults to the UUID of the default application for your account.
- otp: You can specify the OTP in the request if you want to send a custom one instead of a system-generated one.
- channel (string): The channel you want to send the code. Allowed values: sms, voice. Defaults to sms.
- locale: The locale parameter allows you to customize the language of the OTP message. This is useful if your users are in different regions and prefer different languages.
- url: To receive a callback on the final state of OTP delivery.
- method: The HTTP method to be used when calling the URL defined above.
If you created multiple applications, you can send the app_uuid in the request parameter:
If you are sending a custom OTP:
If you want to send the locale parameter:
Validate the session
Once the user receives the OTP, they must provide it to your application. You can then verify the OTP using the validate request:
You can request the Plivo support team to configure the hashmap so that the OTP will be automatically read from the message, eliminating the need to enter the received OTP on the handset.
Arguments:
- otp (string): The OTP that you want to validate against a particular session.
- session_uuid: The session UUID of the Verify session request.
Get and list Verify sessions
You can retrieve details of a specific Verify session or list all Verify sessions. This can be useful for auditing and tracking purposes.
Start sending SMS verification codes with Plivo
While there are plenty of ways to improve the security of your application and protect customers from fraud, a lot depends on your service provider.
If you’re looking for a reliable and trusted partner, Plivo is the right solution for you. We send messages to audiences in 220+ countries and offer a full suite of products including SMS API, Verify API, WhatsApp Business API, Voice API, and more.
Interested in reading more about how Plivo can help you strengthen your application’s security? Check out some of our top picks:
- How to Add Two-Factor Authentication to a Python Flask Application with Plivo: A step-by-step guide for Python developers.
- Adding Two-Factor Authentication to a .NET Application: Learn how to integrate OTP verification in .NET.
- Implementing Two-Factor Authentication in Ruby: Ruby developers can follow this detailed tutorial.
- Verify API Reference Documentation: Comprehensive documentation for developers looking to dive deep into Plivo's Verify API.
Preventing SMS Fraud with Plivo: Learn how Plivo’s Verify API protects against SMS fraud.
Conclusion
By following these steps, you can easily integrate Plivo’s Verify API into your application to manage OTPs for user verification. This process ensures a higher level of security and helps authenticate users effectively.
That’s it! You should be ready to start sending OTPs for account verification. For full details regarding setting up OTPs with Verify, check our developer resources.
Plivo’s Guide to Toll Fraud Prevention: How to Protect Your Business
Learn how Plivo's Fraud Control prevents toll fraud and can prevent your business from losing money. Request a free trial.
The Global Fraud Loss Survey 2023 found that robocall scams in North America now account for more than 50% of global losses. Yet, many businesses are unprepared to deal with robocall scams and their implications for customers.
As businesses increasingly rely on automated systems and digital communication, the opportunities for fraudsters to exploit vulnerabilities also rise.
Toll fraud not only affects customer trust but can lead to significant financial losses and damage to a company's reputation. It is crucial for businesses to understand the mechanisms of such frauds and implement robust prevention strategies to safeguard their operations and maintain customer confidence.
In this guide, we’ll dive deeper into toll fraud and explain how to take steps to protect your business.
What is toll fraud?
Toll fraud, otherwise called international revenue sharing fraud (IRSF), occurs when an unauthorized individual gains control of a company’s phone system to transfer long-distance, international, or even premium-rate calls at the owner's expense.
Usually, fraudsters gain access to voice mail systems or private branch exchanges (PBXs) that are not adequately secured. They use this access to make call-through calls, which rack up expenses by using unreasonable foreign or premium services.
How does toll fraud work?
Toll fraud affects landline and mobile numbers in more than 200 countries. The profitable nature of toll fraud is reflected in the emergence and re-selling of the number range, as many as 10,000 new IRSF-related areas are promoted weekly.
Here’s a step-by-step example of how toll fraud works to the detriment of a business.
Finding weaknesses: Fraudsters scour telecommunication systems for vulnerabilities. These weaknesses could involve poorly secured account registration processes or weak security settings.
- Fake account factory: Once a weakness is identified, the fraudster creates many fake accounts using automated bots or scripts. These fake accounts can appear quite legitimate at first glance.
- Premium number power: Fraudsters leverage premium-rate or premium-service numbers provided by telecom carriers. These numbers charge significantly higher rates per call or text message compared to regular numbers.
- Exploiting the system: Fraudsters use the fake accounts and premium numbers to steal money using two different methods:
- The 2FA trap: If a service uses SMS or voice verification codes for two-factor authentication (2FA), fraudsters can exploit this. They trigger a massive number of verification code requests to be sent to their fake accounts, all routed to the premium numbers. This results in a surge of expensive texts or calls being billed.
- Account activity abuse: Services with free trials or account creation are vulnerable. Fraudsters exploit weak registration processes to create a multitude of fake accounts. These accounts might then be used to trigger actions that generate SMS or voice traffic to premium numbers, racking up charges for the service provider.
- Profit sharing scheme: In some cases, the fraudsters might collude with a complicit telecom carrier. The carrier might share a portion of the inflated revenue generated from the premium number usage.
By generating a massive amount of fake traffic to premium numbers, fraudsters steal money, often leaving the service provider or unsuspecting user with a hefty bill.
Who is at risk of toll fraud?
Voice over internet protocol (VoIP) users, firms using premium rate numbers, and people dealing with international communications are most vulnerable to the threat of toll fraud.
Industries and businesses at risk
1. VoIP Users
Volume: High
Fraudsters frequently target VoIP users. Because of its digital nature, VoIP software is more prone to manipulation than other telecommunication methods.
2. Users of premium-rate numbers
Volume: Very high
Businesses using premium-rate phone numbers are vulnerable to toll fraud. Fake helpline numbers are designed to charge callers more than they would pay if they directly called any other number. Fraudsters redirect callers to these helplines and collect the revenue.
Examples: adult chat lines, tech support lines, interactive voting systems
3. Companies with international call facilities
Volume: Medium to high
Remote or international businesses, as well as those who are in the habit of making calls overseas, fall under the high-risk category as well. Fraudsters divert these calls to the high-cost destinations of their choice to pocket a maximum of the bogus billing payments.
For example, a U.S. tech company discovers that its phone system has been hacked, with all calls being redirected to premium-rate numbers in Latvia and the Maldives. Overnight, the sudden surge in international calls reveals significant financial misuse. This anomaly allowed the breach to be detected quickly.
4. High-risk geographic locations
Volume: High
Fraudsters direct calls mainly to countries that are known for their comparatively expensive rates. Cuba, Estonia, Lithuania, Somalia, and Zimbabwe are a few popular options for toll fraud.
How to prevent toll fraud
Plivo offers robust fraud control through Verify API for businesses to shield their operations. With built-in Fraud Shield, Plivo’s tools for limiting the risk of toll fraud can significantly help your business at no additional cost. Here’s how Fraud Shield works.
Usage triggers
Statistically, large volumes of calls or SMS messages are strong indicators of fraudulent activity. Tracking these usage triggers is the first step to detecting and preventing toll fraud.
Plivo’s console has tools for users to review voice and SMS usage, react to unusual patterns, and initiate investigations.
Best Practices:
- Define usage allocations based on your business needs. For instance, if your application sends a one-time password (OTP) to a user account for two-factor authentication, you might limit the number of OTPs to one within a specific period (such as one OTP per user per 15 minutes).
- Track outgoing and incoming calls and text messaging activities for any sudden or unusual increases or changes in patterns.
Geographic Permissions
Toll fraud can be reduced by restricting call destinations. Through the Plivo console, geographic permissions can be managed and users can specify the countries that can process their outgoing calls.
Best Practices:
- To manage location permissions, click on Voice > Geo Permissions from the Plivo console. Find the countries you’re looking for on this list. You can narrow the list of options by checking certain geo-spatial regions or countries as needed.
- Clarify permissions that align with your business and limit direct calls to risky countries unless only when necessary.
Custom Prefix Blacklist
A blacklist of prefixes related to high percentages and fraud helps detect attempts at unrecognized use. Plivo follows an evolving list of risky prefixes that include the rate of calls, trends detected by third-party entities, and more. These characteristics can be used to make your phone system more secure.
Best Practices:
- From the Plivo high-risk screen (pictured below), follow the prompts to export the latest risky prefix list.
- Include these prefixes in the system’s blacklist feature to automatically stop the number of calls when it reaches a certain threshold.

High-Risk Permissions
By tweaking permissions in the Plivo console, you can limit access to phone calls and messages that pose a high risk. These controls include banning outbound calls to numbers for revenue sharing.
Best Practices:
- Publish and regularly update a list of high-risk areas from Plivo's Voice > Geo Permissions > High-Risk Permissions screen. The SIP filter blacklist provided by Plivo details more than a thousand of these expensive rates and higher-risk prefixes.
- Formulate rate limits to check the volume of outgoing calls and messages and avoid traffic from formidable amounts to high-risk destinations.
- Create voice verification functions and two-factor authentication to better identify real customers and block undue service use.
Prevent toll fraud with Plivo’s Fraud Shield
Plivo's Fraud Shield protects businesses against the negative impacts of toll fraud. Multiple security layers and continuous monitoring reduce the chances of unintended use of communication services that cause losses.
Key features of Plivo's Fraud Shield

- Real-time traffic monitoring: Plivo sends notifications in real time, allowing the detection of anomalous patterns that could indicate fraud. This feature is a decisive parameter for detecting and handling possible threats.

- Customizable thresholds: Call management systems allow businesses to set definite durations, intervals, and destinations for calls. Users can specify the parameters of normal activity for their particular operations. If all of the thresholds are exceeded, Plivo sends an alert.

- Geographic and prefix restrictions: Users can restrict calls to high-risk countries or with high-cost prefixes and edit them individually from the Plivo console.
- Automated blocks and alerts: Plivo can generate real-time alerts on suspicious activities and automatically take appropriate action to block an identified threat. This method effectively blocks unauthorized use while preventing overall losses.
- Detailed reporting: Plivo generates rich reports for businesses to study call patterns and examine whether the existing strategies to curb fraudulent activity are effective. With this detailed analysis, it may be possible to adjust settings and develop more robust security measures for the future.
Begin your free trial today to experience how our range of tools can safeguard your business from toll fraud.
What is WhatsApp Business API? – The Complete Guide (2024)
Dive into our comprehensive guide about the WhatsApp Business Platform to learn how to set up an account to start engaging with customers.
WhatsApp’s Business Platform is one of the most powerful channels for businesses to connect with customers.
Whether you need to notify customers about order confirmations, delivery, and tracking status or answer inquiries and resolve issues promptly, the WhatsApp Business Platform is an affordable way to reach your audience.
In this guide, we’ll cover the WhatsApp Business Platform's many powerful features, benefits, total cost, and best practices for successfully using it. We’ll also provide details on how to find a WhatsApp business solution partner to make it easy to optimize your use of this channel.
What is the WhatsApp Business Platform?
WhatsApp Business Platform is a suite of communication tools designed for businesses to connect and engage with their customers on their preferred texting app. With over 2 billion active users worldwide, WhatsApp is the most popular mobile messenger app globally, making it a crucial platform for businesses to reach a vast audience.
You can integrate WhatsApp into your existing tech setup using a WhatsApp Business API solution like Plivo.
There are two primary ways to use WhatsApp Business Platform: customer-initiated conversations or outreach after opt-in consent. In addition, WhatsApp supports text, media-based, and interactive messaging. Businesses can send images and video content or engage customers through rapid responses to their needs with the right call to action.
WhatsApp’s flexibility makes it the ideal channel for sending everything from order confirmations to product updates to promotions, not to mention responding to customer service inquiries in a familiar, easy messaging environment.
What’s the difference between the WhatsApp Business Platform and WhatsApp Business App?
WhatsApp Business Platform is a different product than WhatsApp Business App (WABA).
The WhatsApp Business App is designed for small businesses to help them manage customer interactions from a single device.
The WhatsApp Business Platform provides programmatic access to WhatsApp at scale to medium to large businesses. The Platform offers rich messaging features to send media and add quick reply buttons.
Built for developers, the platform has a friendly user interface. It offers enterprise resources such as free access to test numbers, detailed documentation, and support for automating and integrating communication workflows. Whether you're building interactive customer experiences or automating routine communications, the WhatsApp Business Platform equips you to create high-quality, engaging messages quickly.
WhatsApp Business Platform features
The WhatsApp Business Platform offers features such as rich messaging, automated responses, analytics, and improved security.
1. Rich Messaging:
Send not just text but also images, videos, and documents. This makes the messaging experience richer and more engaging. With such extensive versatility, the WhatsApp Business Platform can be used to showcase a new product through a video, share a brochure as a PDF, or simply update customers on their latest transactions.
2. Templates:
WhatsApp mandates using pre-approved templates to communicate with your customers. You can create predefined message templates for different use cases, such as shipping notifications, appointment reminders, or even purchase order confirmations. You can further personalize these templates for every customer based on their details for greater engagement and faster response times.
3. Automated messages:
Schedule automated messages and responses for common customer inquiries. Automate and schedule messages to acknowledge when a customer has reached out to support or to welcome a new customer.
4. Security
WhatsApp ensures end-to-end encryption, maintaining the privacy of business and customer conversations.
Get started with the WhatsApp Business Platform
Any business that wants to leverage WhatsApp for customer communication can benefit from a WhatsApp Business Solution Provider (BSP).
A WhatsApp BSP is essentially a middleman between your business and the WhatsApp Business Platform. They are approved by Meta to help businesses leverage the power of WhatsApp for customer communication.
Here are some ways in which working with a BSP can help your business:
- Expert integration: BSPs provide expert assistance in integrating WhatsApp into your existing systems, ensuring smooth and efficient setup.
- Enhanced support: BSPs offer dedicated customer support and troubleshooting, helping to resolve any issues that may arise quickly.
- Advanced features: BSPs often provide additional tools and features, such as analytics, automation, and customization options, which are unavailable through direct sign-up.
What to look for in a WhatsApp Business Solution Provider (BSP)
Choosing the right WhatsApp Business Solution Provider (BSP) directly impacts your ability to communicate and engage with customers on WhatsApp. The features that your BSP offers will determine the level of automation, efficiency, and reliability of your messaging operations.
For instance, if the BSP offers robust automation capabilities, you can streamline customer interactions, respond promptly to inquiries, and provide round-the-clock support. This improves user experience by ensuring quick and relevant responses to queries, ultimately leading to higher customer satisfaction and retention.
Here are some key features to look for when selecting a BSP.
- Embedded onboarding
Choose a BSP that offers an easy and quick onboarding experience. Detailed documentation, a knowledge base, and developer support can help you integrate their services into your applications efficiently. The platform's API should also allow for easy messaging and voice functionality integration, ensuring you can get started with minimal hassle.
- Robust and reliable platform
Choose a BSP that comes with an enterprise-grade communication platform. For instance, Plivo offers connectivity in over 190 countries, serving thousands of businesses globally. Additionally, ensure the platform you choose can handle a wide range of API requests per month, thus guaranteeing reliable communication for your business.
- Integrated WhatsApp signup and registration
Find a BSP that enables quick sign-up and easy registration for the WhatsApp Business API on its website. The registration process should be straightforward and provide options to describe your primary use case and expected monthly volume so you can start sending messages to your customers in just a couple of minutes.
- No-code, WhatsApp AI chatbot
A good platform will allow you to create or integrate an AI chatbot for WhatsApp. It should also help you automate engagements and use features like SMS and voice messaging to enhance your customer service and interactions.
- Marketing automation
Consider BSPs offering marketing automation features, such as SMS marketing and automated messaging on WhatsApp. These features can help you send alerts and notifications and effectively engage with customers throughout their journey.
- Simplified pricing model
Opt for a BSP with a transparent and simplified pricing model. Avoid providers that charge per-message fees and look for one that offers a single rate for all types of conversations. Additionally, consider BSPs that offer volume-based discounts as your business grows.
How much does a WhatsApp Business API solution cost?
The costs for WhatsApp Business API solutions vary considerably by provider. With Plivo’s WhatsApp Business API, a simplified pricing model combines Meta's fee per conversation with a flat fee of Rs. 0.066/conversation, eliminating per-message charges.
This unified flat fee rate by Plivo applies to any conversation type, making budgeting more predictable. Plivo also supports multimedia messages at no additional cost, and you can get volume discounts based on your needs and scale.
Check out the WhatsApp Business API pricing in detail.
Prerequisites for using Plivo’s WhatsApp Business API
To integrate WhatsApp with Plivo for using the Messaging API, there are a few prerequisites:
- Meta Business Suite: Make sure you have a Meta Business Suite account to access Meta's products, including WhatsApp. If you don’t have one yet, you can either set it up via Meta Business Suite or use the embedded signup in the Plivo console.
- Admin Rights: Ensure you have admin access to the Meta account linked to your business.
- WhatsApp Business Account (WABA): To start messaging, you need an active WABA mapped to Plivo. As part of the signup flow, you’ll need to register a business phone number under this WABA.
- Business Phone Number: Make sure the business phone number you’re registering for WABA during the signup flow in Plivo’s console can receive one-time passwords (OTPs) sent via text message or a voice call. If you have an existing number with a different WhatsApp solution provider, you can migrate it under the new WABA with Plivo here.
- Templates: To send outbound Application-to-peer (A2P) messages, make sure you only use approved templates. Refer to our guide to draft templates and ensure you adhere to WhatsApp’s messaging guidelines.
- Compliance: Before launching your messaging efforts with Plivo's WhatsApp API, review the terms and conditions of WhatsApp’s Business Messaging Policy, Commercial Policy, Plivo’s acceptable use policy (AUP), and other relevant guidelines.
How to get started with WhatsApp Business Platform using Plivo
1. Create a WABA in the Plivo console
When setting up your WABA in the Plivo Console, register a business phone number that can get a one-time password (OTP) by text or call. This number will be used for messaging customers and will appear on WhatsApp.
You can either rent a number from Plivo or use your own. If you're switching from another provider, you can transfer your number to Plivo. Check Meta’s guidelines and Plivo's requirements for phone number registration and migration.

2. Customize your WhatsApp profile
Choose a display name for your WhatsApp and follow the guidelines for setting it up. Then, allow Plivo the permissions needed to serve as your WhatsApp solution provider.
3. Verify successful onboarding
To confirm successful onboarding, check your Meta Business Account. Select your Meta account, then go to Business Settings and choose WhatsApp Accounts. Under the Partners tab, Plivo should be listed among your partners.

Then, navigate to the Settings tab, where you should find 'PLIVO INC' listed as a payment method.

When you select "WhatsApp Manager," the number you've added should show up as connected.
4. Register WhatsApp templates
Businesses must use templates approved by Meta for WhatsApp messages. You can create new templates in WhatsApp Manager. Meta segments templates into utility, marketing, or authentication categories, based on the message content. The category impacts both the conversation type and the cost.
In the Plivo console, you can find template information. Navigate to Messaging > WhatsApp Business Account > Templates to sync and view details from Meta.

Note: Approval for new templates could take up to 24 hours. Adhering to Meta's guidelines ensures quicker approval times.
5. Manage your business phone number
To manage business phone numbers in Plivo, go to WhatsApp > WhatsApp Business Account. Select your account and click 'Configurations.' Under account details, use the ‘+Add Phone Number’ button to add numbers.

You'll see the option to 'Unlink Number' once added. In the console, under the same section, you can view all linked numbers, their connection status, name status, and quality rating. Statuses include connected, pending, or disconnected. The name status shows Meta's verification feedback, and the quality rating reflects recipient feedback.

Get started with the WhatsApp Business Platform
As a registered Meta Business Solution Provider (BSP), Plivo offers an easy WhatsApp Business Accounts (WABA) onboarding process. Our integrated signup and registration system, embedded into the Plivo console, allows you to quickly verify your WhatsApp numbers and start sending messages without delay.
Additionally, to simplify billing, we provide a postpaid option, handling invoicing for you and alleviating the complexity of billing from Meta.
Plivo provides a strong and dependable API platform, granting access to all your channels with the convenience of a single bill, contract, and point of contact. We offer competitive pricing, and our support, rated 99/100 for satisfaction on G2, is consistently top-notch.
Using the WhatsApp Business Platform through Plivo means effortlessly managing customer interactions on a larger scale. With features like rich messaging and advanced automation tools, you'll enhance customer satisfaction and engagement while streamlining your communication processes.
Ready to get started? Sign up for a free trial.
SMS Long Codes vs. Short Codes: The Definitive 2024 Guide
Learn what’s better for your business: short code or long code phone numbers. Read to explore both options' differences, use cases, pricing, and benefits.
Short codes and long code numbers can be used to send text messages and directly engage and educate your customers about your products or services. Deciding whether to use a long code or short-code number isn’t always obvious. While short code text messages are more suitable for sending bulk messages, long codes appear more personal to customers. However, long codes have limited use.
So, which one should you use: short codes vs long codes?
In this article, we’ll explain what each type of SMS is, their key benefits, and which type of campaigns each option is most suitable for.
Short code vs long code: A quick comparison
SMS long codes
SMS long codes are 10-digit numbers used for business text messaging. In the US, the long code includes a three-digit area code. They’re used for corporate phone numbers, chat applications, and automated phone systems. These numbers also support voice and multimedia marketing.
Types of long codes
There are two types of long codes: 10-digit long codes and toll-free numbers.
- 10-digit long codes (10DLC): 10DLC preferentially allows A2P SMS traffic for use cases like sending alerts, marketing messages, and notifications. They offer enhanced deliverability and support voice and multimedia messaging service (MMS) marketing. 10DLC offers higher messaging throughput compared to unregistered long codes—up to 4,500 transactions per minute per operator. However, they do not support read receipts.
- Toll-free numbers: Incoming calls are billed to the receiver and are free for the entity making the call. In the US, area codes 800, 888, 877, 866, 855, 844, and 833 indicate toll-free numbers. Most countries have their own set of dialing prefixes that indicate toll-free numbers. They’re mostly used for voice calls but can also support two-way messaging. Toll-free numbers offer a throughput of up to 10 messages per second without any extra carrier surcharges.
Benefits of long codes for your business
Long codes offer your business the following advantages.
- Personalized experience: Long codes include an area code and a two-way texting feature, enabling businesses to send targeted alerts and reminders to relevant audiences.
- International reach: Long codes support text messages for global businesses. You can send and receive SMS using your extended code virtual number.
- Set-up advantages: They are easy and quick to set up. Even a landline number can be converted into a 10DLC code.
SMS short codes
Short codes are five—or six-digit numbers used to send SMS and MMS to customers at scale and cost-efficiently. Customers can recall short codes easily, making them a great way to reach a large audience.
Businesses utilize short codes for SMS marketing, two-factor authentication (2FA), customer surveys, and more. Short codes can handle massive messaging traffic. They’re an excellent choice for businesses with large customer bases.
Types of short codes
There are three types of short codes:
- Dedicated short codes: Businesses own and use these codes exclusively to send unlimited text messages for a specific keyword. Since the brand owns the code, it also owns the available keywords for it. Thus, brands can customize the opt-in keywords for their SMS marketing campaigns.
- Shared short codes: They are codes shared among several distinct businesses. They are not allowed in the US, Canada, and a majority of countries across the world.
- Vanity short codes: These codes are specifically picked by brands due to their aesthetic appeal. They may have repeating numbers or consequent numbers. For example, Chipotle uses the short code 888-222.
Benefits of short codes for your business
Short codes have the following benefits.
- Easy to remember: Short codes have more recall value, which increases if your business opts for a vanity number.
- Faster deliverability: Short codes offer the best deliverability across the US and Canada.
- Allows bulk messaging: SMS short code lets you send up to 400 messages per second. Default throughput starts at 50 messages per second.
Scalable messaging with Plivo’s SMS API platform
You can interact with your customers in 220+ countries all over the world using Plivo.
Plivo’s global reach is just one reason why enterprises choose our platform for their SMS campaigns. Here are a few more.
- Enterprise-grade platform: Plivo is engineered for high availability, reliability, and 99.95% uptime SLA.
- Proven quality and scale: Plivo’s direct to carrier network and intelligent routing ensure the highest SMS deliverability in the US and Canada.
- Premium customer support: Plivo’s 24/7 customer support ensures you receive technical guidance and industry expertise whenever you need it.
- Lower cost of ownership: Plivo offers usage-based pricing where you pay only for what you use. You also get additional discounts with committed use as you scale your campaigns.
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