
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.

Top 100+ Customer Service Statistics and Trends in 2023
Discover top customer service stats for 2023. Gain insights on expectations, loyalty, privacy, channels, and trends to enhance your business.
Top 100+ Customer Service Statistics and Trends in 2023
We’ve scoured reports from industry leaders and compiled a complete list of the most compelling customer support statistics that will up-level your customer service.
Table of contents:
- 15 key customer service takeaways
- What are customers willing to pay for
- How poor customer service impacts your business
- Creating customer loyalty through excellent service
- The importance of privacy in customer service
- How customer service varies by channel and medium
- Even more ways that customer experience impacts your business
- Links to studies
If you’re looking for more information on meeting the service needs of modern customers, don’t forget to check out our other content:
- Leadership Talk: The Modern State of Customer Support
- How to Deal with Angry Customers: 12+ Tips that Always Work
- Cloud vs. Traditional Contact Centers: 5+ Reasons to Embrace Cloud-based Technology
15 Key Customer Service Takeaways

When customers are willing to pay more for good service
16. A significant 63% of Gen Z individuals are willing to pay a premium for a quality mobile experience (PWC).
17. Among those with an annual income under $50,000, 50% express a willingness to pay more for exceptional customer service, compared to only 19% who are unwilling (Hyken).
18. In a group of people earning over $100,000 annually, a substantial 66% state their willingness to pay more, while nearly 15% express unwillingness to do so (Hyken).
19. Nearly 70% of customers are open to paying more for a convenient experience (Hyken).
20. More than 40% of customers are willing to pay extra for the convenience of same-day delivery (PWC).
21. Convenience in delivery is a priority for over 90% of customers, who are willing to pay extra for this service (Hyken).
22. Only 15% of customers are willing to pay more for engaging design, and 12% would do the same for a great atmosphere (PWC).
23. A notable 72% of organizations have a clearly defined customer success strategy in place (Regalix).
24. Nearly 80% of business leaders affirm that customers spend more (34% on average) when they receive a personalized experience (Segment).
How poor customer service impacts your business
25. After encountering more than one negative experience, approximately 80% of consumers prefer doing business with a competitor (Zendesk).
26. It takes a total of 12 positive customer experiences to compensate for a single negative one, according to Ruby Newell-Legner’s “Understanding Customers.”
27. Across all industries, there is a 38% gap between customer expectations and actual service delivery (Hyken).
28. Only one in five consumers is willing to forgive a bad experience at a company with customer service rated as “very poor.” However, nearly 80% are forgiving if they rate the service team as “very good” (Qualtrics XM Institute).
29. A significant 78% of customers have abandoned a purchase due to a poor customer experience (Glance).
30. Approximately 70% of the customer’s journey is shaped by how the customer perceives their treatment (McKinsey).
31. If a problem is service-based, a customer is four times more likely to switch to a competitor (Bain and Company).
32. 61% of customers indicate they would switch to a competitor after just one bad customer service experience (Zendesk).
33. For 72% of customers, explaining a problem to multiple people results in a bad customer service interaction (Zendesk).
34. A noteworthy 79% of high-income households avoid brands for at least two years after a negative experience (Zendesk).
35. If they receive unfriendly service, 60% of customers would cease buying from a brand (PWC).
36. A staggering 96% of customers leave a brand due to poor customer service (Hyken).
37. When employees lack knowledge, 46% of all customers stop doing business with a brand (PWC).
38. Globally, 59% of consumers believe that companies no longer understand the human element of customer experience (PWC).
39. A significant 95% of customers share a bad experience with others, while 87% share a good customer service experience (Zendesk).
Creating customer loyalty through excellent service

The importance of privacy in customer service
50. A significant 88% of individuals trust companies that commit to not sharing their personal information without permission (Salesforce).
51. An overwhelming 92% of customers value companies that grant them control over the information collected about them (Salesforce).
52. Social media is employed as a data collection and analysis tool by 23% of businesses (Gartner).
53. An impressive 79% of customers are willing to provide relevant information about themselves in exchange for personalized interactions that immediately recognize and understand their needs (Salesforce).
54. For 56% of customers, sharing personal information in exchange for improved service is acceptable (Salesforce).
55. A solid 90% of people are more inclined to trust a company if it has a robust privacy policy (Salesforce).
56. A majority (63%) of customers would be more open to sharing their data if they truly value the service (PWC).
57. A significant 61% of customers feel that they’ve lost control over how their personal information is used (Salesforce).
58. Only 40% of customers trust brands to securely and responsibly handle their personal data (Segment).
59. Just 27% of customers have a complete understanding of how companies utilize their personal information (Salesforce).
How customer service varies by channel and medium
60. For 67% of customers aged under 40, the preferred mode of communication is texting (Hyken).
61. Chatbots are employed for customer service by 67% of organizations (Salesforce).
62. Among customers over the age of 40, the easiest means of communication for 66% is through telephone and email (Hyken).
63. Social media (preferred by 12% of customers) and websites (preferred by 10% of customers) rank as the least-preferred customer engagement channels (Regalix).
64. Agent consoles or computers are utilized for managing the majority (54%) of customer calls (Salesforce).
65. Simple issues could be addressed through interaction with a bot, according to 69% of customers (Zendesk).
66. An impressive 98% of customers make use of FAQ, help centers, or other self-service online resources (Zendesk).
67. Digital channels are the preferred mode of engagement for 57% of customers (Salesforce).
68. In comparison to in-store purchases, 53% of customers prefer buying products online (Salesforce).
69. On average, 35% of consumers find the self-service option highly important (Emplifi).
70. For simple matters, 65% of customers prefer self-service options (Salesforce).
71. Contacting customer service through social media is considered convenient by 67% of customers (Zendesk).
72. A substantial 76% of clients expect to receive a response within 24 hours when contacting a brand on social media (Sproutsocial).
Even more ways that customer experience impacts your business
73. Customer experience is a critical factor in purchasing decisions for 73% of clients (PWC).
74. A remarkable 90% of consumers trust a company that they’ve rated as “very good” to cater to their needs (Qualtrics XM Institute).
75. For 70% of customers, the awareness of sales interactions by service agents is pivotal in retaining their business (Salesforce).
76. The expectation that businesses know their unique needs and expectations is held by 63% of consumers, and 76% of B2B buyers share the same expectation (Salesforce Research).
77. Providing cutting-edge digital experiences is seen as necessary by 59% of customers to maintain their business relationships with companies (Salesforce).
78. Including personalized consumer experiences can improve your online conversion rate by approximately 8% (Trust Pilot).
79. An overwhelming 88% of customers today have higher expectations compared to the past (HubSpot).
80. While nearly 76% expect consistent interactions across departments, 54% believe that sales, marketing, and customer service teams don’t share information (Salesforce).
81. Understanding their unique needs and expectations is desired by 73% of customers (Salesforce).
82. A significant 76% of customers expect to engage with a customer representative immediately upon first contact with a company (Zendesk).
83. A friendly, welcoming service defines industry success for 48% of U.S. consumers (PWC).
84. A quick response to the initial inquiry impacts the choice of the company to buy from for 89% of clients (Zendesk).
85. The speed at which their problem is resolved defines good customer service for 69% of consumers (Zendesk).
86. For almost 80% of American consumers, the most important elements of a good customer experience are speed, convenience, knowledgeable help, and friendly service (PWC).
87. Company employees have a significant impact on the experience for 71% of customers (PWC).
88. The experience a company provides is as important as its products and services for 80% of customers (Salesforce).
89. 87% of companies believe that customer success programs have aided clients in adopting products and services (Regalix).
90. Customer support having access to the status of their most recent order is expected by 64% of Baby Boomers (Epsilon).
91. A satisfying experience with a company is reported by 77% of customers (Hyken).
92. Sales reps who understand their goals are more likely to be chosen by 84% of customers (Salesforce).
93. Poor quality of product or service leads a 34% decrease in continued customer purchases from a brand (Morning Consult).
94. The experiences with one industry influence the expectations for others for 62% of customers (Salesforce).
95. Loyalty is driven for 63% of customers when they receive a discount within an hour of interacting with a brand (Segment).
96. Personalization is attractive to 90% of customers (Epsilon).
97. A 5% increase in customer retention results in more than a 25% increase in profit (Bain & Company).
98. On average, customer service agents only ask for a customer’s name 21% of the time (Glance).
99. The pandemic has raised customer service expectations for 48% of clients (Zendesk).
100. Despite technological advances, 55% of customers believe we will still need support agents for positive customer experiences (PWC).
Enhanced customer service with PlivoCX
Looking to level-up your customer service motion? Our modern cloud contact center offers a simple workspace for customer service teams that seamlessly combines your customer conversations with your existing systems.
Set up some time with us to share your business needs and get started with a free trial.
Other articles you might be interested in:
- Leadership Talk: The Modern State of Customer Support
- How to Deal with Angry Customers: 12+ Tips that Always Work
- Cloud vs. Traditional Contact Centers: 5+ Reasons to Embrace Cloud-based Technology
References:
- 15 Customer Self-Service and Experience Stats To Know (2020) – Vanilla Forum
- Emplifi Consumer Expectations Report
- Zendesk CX Trends Report 2022 – AI and automation
- Connect employee engagement with performance – Gallup
- Americans Have Increased Their Impulse Spending by 14% in 2022 Compared to 2021, According to Annual Survey Commissioned by Slickdeals
- Customer journey needs statistics
- Customer Onboarding Statistics 2020
- Customer Service and Business Results: A Survey of Customer Service from Mid-Size Companies
- Customer Service and Customer Experience Report
- Customer service is worse than ever and so is consumers’ rage
- CUSTOMERS 2020: A PROGRESS REPORT
- Employee Motivation in the United States
- Experience is everything: Here’s how to get it right
- Global State of Customer Service
- Global study: Consumer engagement best practices for 2020
- Local Consumer Review Survey 2020
- New Epsilon research indicates 80% of consumers are more likely to make a purchase when brands offer personalized experiences
- Prescription for Cutting Costs
- State of customer success
- STATE OF SERVICE
- The State of Customer Service in 2020
- The Value of Online Customer Loyalty and How You Can Capture It
- What Are Customer Expectations, and How Have They Changed?
- WHAT DRIVES BRAND LOYALTY TODAY
- What is the impact of customer service on lifetime customer value?
- Zendesk Customer Experience Trends Report 2020
- The State of Customer Service in 2022 [HubSpot Data]
- Salesforce Report: Nearly 90% Of Buyers Say Experience a Company Provides Matters as Much as Products or Services
- Zendesk CX Trends Report 2022 – Challenges
- Salesforce State of the Connected Customer 4th Edition
- Live Chat Exposes a Fatal Flaw in Your Go-to-Market
- Zendesk research: customer satisfaction
- Zendesk CX Trends Report 2022 – Growth Areas
- The social media customer service statistics brands need to know in 2022
- Forrester’s US 2022 Customer Experience Index: Nearly 20% Of Brands See Drop In Customer Experience Quality – Forrester

How to Deal with Angry Customers: 12+ Tips that Always Work
Master the art of dealing with angry customers in Cloud Contact Centers. Explore 12+ actionable tips to reduce customer friction, foster loyalty, and transform challenges into opportunities for lasting positive impressions.
Within a Cloud Contact Center where hundreds, if not thousands, of tickets flow in, managing angry customers isn’t a simple task.
Successfully navigating these situations, however, plays a critical role in fostering customer loyalty and reducing friction.
Dealing with Angry Customers
Imagine you’re a customer support agent in a bustling Cloud Contact Center. The phone rings, and on the other end is a disgruntled customer, venting about an unresolved issue they’ve faced multiple times. The pressure is on to pacify them and find a solution, all while maintaining the image and reputation of your company.
To sail smoothly through the stormy waters of customer complaints, we must take a look at what makes a customer angry in the first place.
What Makes a Customer Angry?
Every customer is different, with unique preferences and pain points. However, there are some common threads that seem to ignite frustration among the majority.
Understanding these can give agents a proactive edge in tackling issues even before they escalate. Here are some typical triggers:
- Unresolved issues: When a customer faces the same problem repeatedly without a clear resolution, it can lead to mounting frustration.
- Long wait times: We’ve all been here — nobody enjoys waiting, especially when they need immediate assistance. For customers seeking urgent support, prolonged waiting periods can heighten their agitation.
- Miscommunication: When promises don’t match deliverables, it’s a recipe for disappointment. Miscommunication can stem from ambiguous terms, misinformation, or even language barriers, leading to a mismatch in expectations.
- Feeling undervalued: Every customer, regardless of the size of their purchase or the frequency of their engagement, wants to feel important and valued. If they sense indifference or a lack of respect, it can rapidly sour their experience.
Understanding these triggers and the underlying concerns of your angry customer is a crucial step toward resolution.
How to deal with angry customers: 12 tips
Now that we’ve covered why your customers might be angry to begin with, we must take a look at how to resolve their frustrations.
Fortunately, there are time-tested and proven methods for dealing with upset customers that can turn a negative customer experience into a positive customer experience.
Tip #1: Listen Actively The foremost step is to listen. More than a solution, sometimes the customer just wants to be heard. Let them share their grievances without interruptions. For example, say, “I apologize and understand your concern. Please tell me more about your issue, so I can best help you.”
Tip #2: Empathize with Their Situation Show genuine concern for their issues. A simple statement like, “I’ve been there,” or, “I can imagine that was frustrating,” can bridge the gap between the company and the customer.
Tip #3: Stay Calm and Professional No matter how heated the situation, maintain your cool. Responding with calm reassures the customer. Instead of saying, “You’re wrong,” you might say, “Let’s find out what went wrong.”
Tip #4: Use Positive Language Focus on what can be done rather than what cannot. Instead of “We can’t immediately process your refund,” say, “We will process your refund within 48 hours.”
Tip #5: Offer Solutions, Not Blame Shifting the blame doesn’t help. Focus on finding a viable solution for the customer. Offer them a workaround if an immediate solution isn’t available.
Tip #6: Apologize Sincerely An honest apology can go a long way. “I’m truly sorry for the inconvenience you’ve faced,” conveys empathy and acknowledgment.
Tip #7: Offer Follow-Up Check-ins After resolving an issue, make a note to follow up with the customer after a day or two. This shows proactive concern and might prevent future grievances.
Tip #8: Stay Informed Know your product or service inside out. If you’re unsure about something, tell the customer, “Give me a moment. I’ll find out for you.”
Tip #9: Offer Alternative Solutions If a direct solution isn’t possible, offer alternatives. “Although X isn’t available right now, may I suggest trying Y?”
Tip #10: Stay Patient and Don’t Take Offense It’s essential to remember that the customer isn’t angry with you, but with the situation. Patience can help in understanding the core issue better.
Tip #11: Seek Feedback Post-resolution, request feedback. Simply asking “Is there anything else I can help you with?” or “How can we serve you better next time?” can provide key insights.
Tip #12: Document the Interaction Ensure that every interaction is logged and available for review down the line. This will help in future communications and will serve as a reference for recurrent issues.
More tips for dealing with angry customers
Bonus Tip #1: Avoid Over-Promising It’s crucial to set realistic expectations. If you cannot guarantee a resolution within a specific timeframe, don’t promise it. Instead, give a timeframe you’re sure you can meet, and if possible, try to exceed that expectation.
Bonus Tip #2: Use Their Name Personalize the conversation by using the customer’s name during the interaction. This small touch can make the conversation feel more human and let the customer know they’re not just another ticket number.
Bonus Tip #3: Continuous Training The world of customer service is constantly evolving. Regularly train your team on new tools, techniques, and soft skills. This ensures they’re always prepared with the latest knowledge to handle a variety of situations.
Reduce Customer Friction to Create Loyalty
Resolving a customer’s issue promptly can transform their experience from frustrating to fantastic. It’s all about the approach and perspective. A satisfied customer not only sticks around but also becomes a brand ambassador, spreading positive word-of-mouth.
Conclusion
Dealing with angry customers can be challenging, but with the correct approach, it can be turned into an opportunity to cultivate customer loyalty. Patience, empathy, and a problem-solving mindset can provide even the most irate customer with a positive customer experience.
Looking to level-up your customer service motion? Our cloud contact center offers a simple workspace for customer service teams that seamlessly combines your customer conversations with your existing systems.
Set up some time with us to share your business needs and get started with a free trial.
Other articles you might be interested in:
- How to Reduce Customer Friction and Remove Common Hurdles
- Leadership Talk: The Modern State of Customer Support
- Simple Ways to Improve the Ecommerce Customer Experience
All about Telecom Fraud and How to Combat It
Telecommunication fraud: Learn about the types of telecom fraud and effective strategies to combat it. Protect your business and user information, partner with a reliable service provider like Plivo today!
Telecommunications fraud costs billions of dollars each year — estimates put global losses from telecom fraud between $25-40 billion annually — and every business is a potential victim. That’s because every organization uses telecom services — voice calls, SMS, even website click-to-call — which means they’re targets for sophisticated criminals looking to exploit vulnerabilities and rack up unauthorized charges.
Types of telecom fraud
What constitutes telecom fraud? There are many common types of telecom scams.
- SMS pumping: This involves sending high volumes of SMS messages to premium rate numbers owned by the fraudster. They make money off the interconnect fees paid by the operator.
- International revenue share fraud (ISRF): Fraudsters hack into business PBX systems or cloud services and make expensive international calls that terminate on high tariff destinations. The revenue is shared between fraudsters.
- SIM box or SIM farm fraud: This uses SIM boxes with multiple prepaid SIM cards to terminate international calls as local calls, bypassing international rates.
- Subscription fraud: Getting postpaid connections using fake identities to make calls and default on payments.
- PBX hacking: Gaining access to enterprise phone systems to make unauthorized calls.
- Robocalls: Illicit robocalls may use your numbers without your consent, harming brand reputation.
Telecom fraud prevention
Fighting fraud takes the combined efforts of governments, carriers, cloud providers like Plivo, and businesses. A number of tools and techniques are available from each of these entities to detect and mitigate telecom fraud.
✔ Government measures
At the government level, in the last couple of years we’ve seen a mandate for the use of the STIR/SHAKEN framework for caller ID authentication to verify originating numbers and identify spoofed calls in the US and Canada. Information from STIR/SHAKEN gives individuals more information about whether they should pick up an incoming call.
Governments can take other measures as well. In addition to making it harder to spoof phone numbers, the UK government plans to ban cold calls on all financial products, and ban SIM farms, which criminals use as a way to bypass legitimate communications platforms to send thousands of scam texts at once. In India, officials are working on a bill to mandate that the identity of a person sending a message or calling be visible to the receiver irrespective of the platform used for communication.
✔ Carrier measures
At the carrier level, US carriers have mandated businesses register their brands and use 10-digit long codes (10DLC) for application-to-person texting over long codes — regular 10-digit phone numbers. Similarly, toll-free numbers must be verified before being used for texting, and short codes have to meet carrier-mandated conditions when they’re set up. All of these measures are designed to mitigate unwanted robocalls.
Carriers have several other tools at their disposal.
- Real-time fraud management, in which carriers use AI and ML to analyze call patterns and identify fraud immediately through rule-based scoring.
- Fraud analytics, which uses historical data to identify fraud trends, high-risk periods, and fraud hotspots through geospatial analytics.
- Blockchain, in testing now by some operators, may provide immutable caller ID verification between networks.
✔ Service provider measures
Cloud providers help combat fraud by offering geo permissions to disable call routes to countries and regions in which a business has no presence, thereby avoiding potential ISRF. Plivo, for instance, lets you filter calls to specific countries and continents, and block high-risk voice network groups.
Service providers also offer tools businesses can use to lower the risk of fraud. Two-factor authentication (2FA) is a critical tool for keeping unauthorized individuals out of company accounts and away from company resources.
✔ Customer measures
As a business you can adopt several practices on your own to counter telecom fraud:
- Work with telecom providers to implement STIR/SHAKEN caller authentication and trace back spoofed calls originating from your numbers.
- Use CAPTCHA as appropriate to deter bots from exploiting systems.
- Conduct regular dark web scans to check whether any numbers you use are being sold to scammers.
- Deploy tools to block high-risk traffic identified through telecom fraud analytics.
- Have your application server or content delivery network set rate limits by user, IP address, or device identifier, to prevent sending more than 1 message per n seconds to the same mobile number range or prefix. You can also limit call duration or the number of concurrent calls.
- Monitor customer complaints about receiving robocalls/spam from your numbers.
- Require 2FA for all account and data access. Confirm users’ email addresses and/or phone numbers before enrolling them in 2FA.
- Audit telecom invoices frequently for unusual spikes.
✔ Individual awareness
All of those techniques can cut the risk of fraud for businesses and limit risks for their customers as well. However, individuals still have to stay alert and cautious to avoid being targeted by fraud that slips past all of the defenses. Number spoofing may be the most common scammer technique, in which fraudsters mimic legitimate numbers to socially engineer victims. Advanced telecom analytics solutions can help detect unusual calling patterns associated with these scams, providing an additional layer of protection.Another is Wangiri fraud, where scammers call phone numbers and hang up after one ring to bait recipients into calling back premium rate numbers. The more cautious your customers are, the less likely they are to become victims of telecom fraud.
Stay safe out there
Telecom fraud has been around for about as long as the telephone itself. As calling technology changes and evolves, so do scammers’ techniques. Businesses need to take advantage of layered fraud prevention provided by governments and carriers and continuously refine their own anti-fraud practices. With proactive participation from the business side, carriers can often trace, flag, and block fraudulent telecom activity being conducted over your platforms and numbers.
Plivo is committed to complying with all national and carrier regulations and best practices reducing telecom fraud. Our goal is to help you keep your customers safe from phone scams while controlling unauthorized telecom charges.

Cloud vs. Traditional Contact Centers
Chatbots help businesses automate their customer service motion and reduce time to ticket resolution. Learn about chatbots and how to implement them in this blog.
Cloud contact centers are revolutionizing how businesses serve customers, offering enhanced flexibility, scalability, and cost-efficiency compared to on-premise contact center solutions.
Read on to explore the differences between cloud and on-premise contact centers, cloud benefits, and to determine if cloud technology is the right fit for your business.
What is a Cloud Contact Center?
A cloud contact center is a centralized online platform hosted by a third-party service provider, accessible over the internet, which manages both inbound and outbound customer interactions across various communication channels.
Unlike traditional on-premise contact centers, cloud contact centers enable agents to access the system from anywhere with an internet connection, while the vendor handles system administration and maintenance.
What is a Traditional On-Premise Contact Center?
A traditional on-premise contact center relies on physical infrastructure located within a business’s premises. It involves owning and managing the hardware, software, and networking components required for customer interactions.
With traditional, on-premise contact centers, agents are required to work from the designated facility, limiting flexibility and scalability.
Key Differences: Cloud vs. Traditional Contact Centers
The main difference between cloud and traditional contact centers comes down to where they reside — in the cloud or on-site.
However, this distinction has far-reaching implications that shape the overall efficiency, scalability, and adaptability of these contact center models.
Benefits of Using a Cloud Contact Center:
- Anywhere, Anytime Accessibility: Cloud contact centers allow agents to work remotely, enhancing flexibility and job satisfaction while reducing overhead costs associated with maintaining a physical facility.
- Predictable Costs: Monthly subscription models of cloud contact centers facilitate accurate financial forecasts, eliminating unexpected expenses for hardware repairs or upgrades.
- Scalability: Cloud-based solutions offer the flexibility to expand or contract resources as needed, allowing businesses to accommodate fluctuating demands without substantial investments.
- Omnichannel Approach: Cloud contact centers seamlessly integrate multiple communication channels, providing agents with a holistic view of customer interactions and enabling efficient problem resolution.
- Quick Deployment: Cloud solutions are rapidly deployed without the need for extensive installation, resulting in shorter setup times compared to traditional counterparts.
- Stress-Free IT: Third-party providers manage maintenance, updates, and integrations, freeing up internal resources for core customer service tasks.
Considerations for Traditional Contact Centers:
- Sunk Cost Fallacy: Businesses heavily invested in on-premise systems may resist change due to sunk costs. However, focusing solely on past investments overlooks the benefits of modern cloud technology.
- Control and Security: Some businesses prioritize on-premise setups for data security and customization control. However, cloud contact centers are enhancing security measures and customization options.
Choosing the Right Contact Center Solution for Your Business
Choosing between cloud and traditional contact centers hinges on your business’s unique requirements, goals, and constraints. Here are some scenarios where a cloud contact center could be the optimal choice:
- Rapid Scalability: If your business is poised for growth and needs to swiftly expand its customer support operations, a cloud contact center offers agility and scalability.
- Flexibility: For businesses that need to adapt quickly to changing customer demands and industry trends, the cloud’s flexibility allows for swift adjustments.
- Limited Resources: Smaller businesses with restricted time, internal resources, and IT expertise can benefit from the ease of deployment and maintenance offered by cloud solutions.
- Multichannel Approach: If your business intends to engage customers through various channels, a cloud contact center’s omnichannel capabilities streamline communication and problem-solving.
- Advanced Features: Cloud contact centers provide access to cutting-edge technologies, from AI-powered chatbots to sophisticated analytics, enabling enhanced customer experiences.
Conclusion
The evolution of contact centers from traditional on-premise setups to cloud-based solutions signifies a transformation in customer service. Cloud contact centers offer unprecedented flexibility, scalability, and cost-efficiency, empowering agents to provide exceptional experiences regardless of their physical location.
If you’re ready to transition to a cloud contact center and position your customer service operations for success in the digital age, Contacto makes automation and omnichannel communication simple.
Set up some time with us to share your business needs and get started with a free trial.

What is a Chatbot? 10 Benefits of Chatbots for Enhanced Customer Service
Chatbots help businesses automate their customer service motion and reduce time to ticket resolution. Learn about chatbots and how to implement them in this blog.
Chatbots have been making waves in the customer service industry, providing a range of advantages that can enhance the customer experience by reducing customer friction, increasing revenue, and alleviating pressure on human agents.
From providing 24/7 availability to offering personalized recommendations, chatbots have the potential to revolutionize the way businesses interact with their customers.
What is a Chatbot?
Put simply, a chatbot is a computer program designed to quickly respond to and assist customers with their questions. Whenever a customer initiates contact through a communication channel, a chatbot will attempt to identify and resolve the customer’s issue by offering solutions to common problems.
Modern chatbots like Contacto’s can even be configured to trigger customized workflows dynamically based on customer responses, enhancing your business’ ability to gather relevant information from your customers before they connect with an agent.
Benefits of Chatbots
We’ve compiled 10 benefits of chatbots, and tips for how you can use automation to enhance the customer service experience, while also alleviating pressure on customer service agents, increasing revenue, and creating repeat business:
- 24/7 Availability: Chatbots can provide 24/7 availability to customers, which is not always possible with human agents. This means customers can receive immediate assistance, regardless of the time of day or night. This can increase customer satisfaction and reduce the likelihood of negative reviews or customer churn due to unaddressed concerns.
- Quick Response Times: Chatbots are capable of responding to customer inquiries in seconds, providing instant answers and minimizing the waiting time for customers. This can reduce frustration and increase overall customer satisfaction, while also freeing up customer service agents to handle more complex issues.
- Cost-Effective: Chatbots can help companies save on labor costs, as they can handle a large volume of customer inquiries simultaneously. This can allow companies to allocate their resources more efficiently and effectively, while also reducing the need to hire additional staff to handle customer service inquiries.
- Reduced Pressure on Human Agents: Chatbots can handle routine inquiries, allowing human agents to focus on more complex issues. This can reduce burnout and turnover among customer service agents, while also increasing the likelihood of positive customer interactions.
- Improved Context for Issue Resolution: Chatbots can gather information from customers and provide context to customer service agents before the customer is transferred to a human agent. This can help agents provide more efficient and effective solutions, as they will have a better understanding of the customer’s issue before the interaction begins.
- Increased Revenue: Chatbots can increase customer engagement by providing answers to questions that prospective customers may have while evaluating your product. This can increase revenue and customer loyalty, while also improving the overall customer experience.
- Multilingual Support: Chatbots can provide support in multiple languages, making it easier for companies to expand into international markets. This can increase customer satisfaction and reduce language barriers for customers.
- Consistent and Accurate Responses: Chatbots can provide consistent and accurate responses to customer inquiries, reducing the likelihood of miscommunications or misunderstandings. This can increase customer confidence in the company and its products or services.
- Improved Data Collection: Chatbots can gather customer data and provide insights into customer behavior, preferences, and pain points. This can help companies improve their products or services, as well as their overall customer service strategy.
- Creating Repeat Business: A positive customer service experience, facilitated in part by chatbots, can create repeat business and increase customer loyalty. Customers who have had a positive interaction with a chatbot are more likely to return to a company for future purchases or services.
So we ask the question again: what is a chatbot? A chatbot is a useful self-service tool that is evolving the modern customer service experience by providing 24/7 availability, reducing the pressure on your human agents, and decreasing the time to ticket resolution for your customers.
The Importance of Self-Service in Customer Support
In our recent Leadership Talk on the Modern State of Customer Support, Plivo’s head of support Renu Yadav highlighted the importance of self-service tools:
“Self-service options are a great way to reduce the number of queries coming to support agents and allow them to focus on more complex problems. I also think that it is important to build an extensive FAQ section so that customers can easily find answers to common questions.
I also think that chatbots and AI can be valuable tools for customer support. They can provide instant, 24/7 support for simple inquiries or issues, and they can also gather initial information before escalating more complex issues to human agents.”
How PlivoCX’s Chatbot can automate your customer service
PlivoCX’s modern chatbot leverages advanced automation technology to enhance the customer service experience for businesses of all sizes. With features like 24/7 availability, quick response times, and multilingual support, Contacto’s chatbot is an excellent example of the potential that this technology can bring to your business.
By embracing chatbot technology in your contact center, companies can provide better customer service, reduce costs, and increase revenue, all while freeing up their human agents to focus on more complex tasks.
With the rapid advancements in AI technology, chatbots are only going to become more sophisticated and capable of handling even more tasks, making them an essential tool for any modern business looking to stay ahead of the competition.
So why wait? Start exploring the benefits of chatbots today and see how they can revolutionize your customer service experience.

Leadership Talk: The Modern State of Customer Support
Join Plivo support lead Renu Yadav as she explores the evolving landscape of customer support, challenges faced by reps, essential skills, and changing technology.
Leadership Talk: The Modern State of Customer Support
The customer service industry has undergone a revolution these last few years—teams have embraced remote and hybrid operations as standard, and sophisticated contact center technology has enabled businesses to push beyond the established limits of customer support.
We sat down with Renu Yadav, the head of customer support of the #1-rated cloud communications platform on the market, for a candid discussion about the modern state of customer support and the evolution of technology trends within the industry.
Contacto: How has the landscape of the Customer Support industry evolved in the past few years, and what key factors were most impactful?
Renu: Significantly.
Ten years ago, phone support was the only option because businesses just wanted to have people that customers can talk to. Now there are so many choices that if a business makes it hard to get help, customers will take their business elsewhere.
Support is not limited to just phone or email support. Customers are now using multiple channels to interact with businesses, including live chat, and social media. Social media is no longer just a marketing platform, it has become a major channel for customers to interact with businesses.
There is also a need to have a global approach to support, and they need to be able to provide support in multiple languages and time zones.
AI and automation are being used to automate tasks, such as answering FAQs and answering routine questions. This frees up support agents to focus on resolving more complex issues.
There is a shift from transactional, reactive support to proactive, personalized, and experience-driven support. It is no longer seen as a cost center, but rather as an opportunity to differentiate from competitors and build customer loyalty.
Support is moving to a strategic department, capable of driving improvements across the business.
What are the biggest challenges that Customer Support reps face today, and how can they be overcome?
Renu: The responsibilities of a support agent look very different compared to a few years ago. Support teams are not required to just follow processes and perform routine tasks. Those can be achieved via automation. They need to come up with customized and tailored solutions to resolve issues faster.
- Keeping up with product changes: Companies and products are rapidly innovating and updating their offerings. Support agents need to stay current with the latest product features and changes. Regular product training, refreshers, and product assessments can help support teams stay updated with product changes. At Plivo, we also review ticket trends to plan out refreshers on a biweekly basis.
- Meeting rising customer expectations: Today’s customers expect fast, personalized support. Customers value getting their issues resolved in their first interaction with the support team. However, this can be a challenge if the issue is complex or if the representative doesn’t have the right information or authority to resolve it. To address this, companies can empower their representatives with the right resources, enable them with decision-making tools, and streamline their escalation processes. Cultivating a customer-centric culture across the organization can help align all departments toward meeting and exceeding customer expectations.
- Working remotely: While remote work has impacted everyone, the impact is more on teams that need to work in groups. It was way easier to train, identify ticket trends, outages, coordinate with other stakeholders, manage escalations, and even get help on any issues in real-time. The shift to remote work has brought new challenges for customer support representatives, such as isolation, burnout, and communication difficulties. This can be mitigated by promoting a strong remote work culture, encouraging regular communication and team-building activities like off-work catchups so that the teams get to build a rapport and not all discussions are work-related.
Overcoming these challenges often requires a combined approach of people, process, and technology.
In your opinion, what are the most important qualities or skills that a customer support rep should possess to excel in their role?
Renu: That’s a great question, one that when I am interviewing candidates for my team I always like to ask. From my perspective, the most important skills vary by customer and situation:
- Resilience, empathy, and patience: Dealing with customer complaints and issues can be stressful, and not every interaction is positive. Resilience and the ability to handle stress are key to maintaining a positive attitude and a high level of service. So is the ability to understand and share the feelings of customers. Customers often reach out when they are frustrated or upset, and an empathetic response can help calm them down and assure them that their concerns are being taken seriously.
- Time management skills: Unlike other teams, Support work is not project/timeline based. It’s the number of calls/tickets they can handle in a day. This number is not stable and keeps changing on a day-to-day basis. They need to be able to prioritize and juggle multiple tasks at the same time. So time management is a crucial skill.
- Business communication: Representatives need the ability to explain complex solutions in simple terms, as well as deep attention to detail to ensure they don’t miss any critical points while debugging an issue.
- Teamwork: Support is often a team effort, and representatives need to work well with their colleagues to solve customer issues, share knowledge, and improve service processes.
- Problem-solving & decision-making skills: Support teams also need to be able to think critically and come up with effective solutions to customer problems. This is becoming more and more critical in today’s fast-paced world. Agents are expected to be quick on their feet and able to come up with innovative solutions.
With that said, how can the right tool elevate a customer support representative’s ability to properly address a customer’s needs?
Renu: Without the right tool, a support rep would have to do way more work than necessary. In the right hands, an effective tool can:
- Streamline routine tasks: Things such as ticket assignment to representatives, tracking the status of tickets, and adding options to have views on which tickets need to be prioritized. This frees up representatives’ time so that they can focus on resolving issues.
- Provide a comprehensive view of the customer: Tools that integrate with various channels and systems can provide a comprehensive view of the customer. This includes the customer’s history, preferences, and previous interactions. This information can help representatives provide personalized and informed support.
- Collect feedback from customers: Tools that allow customers to provide feedback can help organizations understand how their customers are experiencing their support. This feedback can be used to improve the support process and make it more customer-centric.
- Provide a knowledge base or FAQ section: An detailed knowledge base or FAQ section can help customers find answers to their questions without having to contact a support representative.
- Enable collaboration and escalation: Tools should also enable collaboration and escalation. This can help ensure that issues are escalated to the appropriate people when necessary.
- Offer in-depth reporting and analytics: A support tool should not only be able to generate basic reports but also have the ability to create custom reports that can help organizations analyze customer interactions and identify trends. This data can be used in so many powerful ways.
With the rise of self-service options and automation, how do you see the role of Customer Support representatives evolving in the near and distant future?
Renu: It will have both positive and negative impacts, right?
The size of the teams will become smaller and smaller. AI and automation will be expected to handle routing queries. So the agents will be required to work on complex problems that require a human touch.
At the same time, the work is becoming more challenging so the focus going forward will be on the quality of teams and not the size of the teams.
Support is evolving from transactional to consultative support, from handling simple issues to resolving complex problems, and from being order takers to being customer advocates. They are now expected to be product experts who can help customers solve problems and help differentiate between competition.
Representatives are now tasked with resolving more complex issues which require them to think critically and creatively to solve problems. The insights gained from support interactions with customers influence product development, marketing, and other areas of the business.
These changes will free representatives from routine tasks and enable them to focus on the complex, challenging aspects of customer support that require a human touch but this also means that support agents will need to be committed to continual learning and adaptation.
So the overall contributions of the support teams will become increasingly valuable.
How do you think the increasing importance of customer experience and satisfaction has shaped the Customer Support industry, and what steps should companies take to prioritize these areas?
Renu: From a business perspective, it is not just important to get a customer on contract, it is more critical to retain the customer. That is where customer experience and satisfaction play a huge role. Companies can use customer support to differentiate themselves in a crowded market, and foster customer loyalty, and positive word-of-mouth.
Any company looking to prioritize customer experience and satisfaction within their business should:
- Understand customer expectations: Regularly survey customers, monitor feedback, and stay abreast of market trends to understand what customers expect from their support experience.
- Implement the right technology: Leverage technology to automate routine tasks, provide omnichannel support, personalize customer interactions, and gain insights from customer data.
- Measure the right metrics: Look beyond traditional efficiency metrics (like average handle time) and measure metrics that reflect the quality of the customer experience, such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), and Customer Effort Score (CES).
- Foster a customer-centric culture: Make customer satisfaction a company-wide goal. All departments, not just customer support, should understand their role in contributing to the customer experience.
- Review and improve: Regularly review your customer support operations and use customer feedback and data to identify areas for improvement. This process of continuous improvement is crucial in maintaining a high-quality customer experience.
With more options available to customers than ever before, how have customer expectations changed over the past few years?
Renu: Customers today expect businesses to provide instant, 24/7, multi-channel support with self-service options and transparency.
- Customers expect more convenience: Customers today are accustomed to getting what they want when they want it, and how they want it. This means that businesses need to offer convenient customer support options, such as 24/7 support, live chat, and self-service options.
- Customers expect more personalization: Customers today expect a personalized experience, and this is no different in customer support. Businesses are using data and analytics to personalize their customer support interactions, tailoring them to the individual customer’s needs and preferences. This can help to improve customer satisfaction and loyalty.
- Customers expect more transparency: Customers today want to be kept informed about the status of their issue and what is being done to resolve it. Businesses need to be transparent with their customers and communicate with them throughout the customer support process.
- Customers expect more empathy: Customers today want to feel like they are being heard and understood. Businesses need to be empathetic to their customers and understand their frustration. This will help to build trust and rapport with customers.
- Customers expect more speed: Customers today expect their issues to be resolved quickly. Businesses need to be responsive and resolve customer issues as quickly as possible.
Can you share any insight on the use of data and analytics in customer support? How can data-driven approaches enhance the overall customer experience?
Renu: Data is huge right now. And I am not talking about customer data. I am talking about issue data and ticket data. If used the right way, there is so much key information to be pulled:
- What kind of issues do we receive on a daily, weekly, monthly basis?
- What product are we facing the most issues on?
- Are there any enhancements required in the product?
- Which support channel do customers find most convenient?
- To track escalations.
- To find which customers are raising the most queries.
- What are our response and resolution times?
- What training do we need to create for our teams?
- How satisfied are our customers?
By using data, support can move from a reactive function to a strategic one, capable of driving improvements across the business.
What channels do you personally find to be the most effective for resolving the support needs of your customers?
Renu: The effectiveness of different customer support channels depends on the nature of the customer’s issue and the customer’s preferences. Phone support is not a great tool for customers if they need to be put on hold for a long time. On the other hand, though, email support won’t necessarily be the best tool for customers who have an urgent issue that needs to be looked into immediately.
In my opinion, using a combination of tools can ensure that businesses are able to provide support that meets the needs of all of their customers.
Self-service options are a great way to reduce the number of queries coming to support agents and allow them to focus on more complex problems. I also think that it is important to build an extensive FAQ section so that customers can easily find answers to common questions.
I also think that chatbots and AI can be valuable tools for customer support. They can provide instant, 24/7 support for simple inquiries or issues, and they can also gather initial information before escalating more complex issues to human agents.
I have one final question for you before I let you go. If you had one feature on your customer support tool wishlist, what would that be and why?
Renu: It would be the ability to integrate with other tools and systems. This would allow customer support representatives to have a single view of the customer, which would make it easier to resolve issues and provide better support.
For example, if a customer has a problem with their order, the customer support representative could see the customer’s order history, shipping information, and payment information. This would allow the representative to quickly identify the issue and resolve it.
The ability to create custom reports is a close second. It is not enough to only work on issues and meet KPIs. It is also essential to find trends and patterns. This can help in so many ways, such as improving product offerings, streamlining processes, reducing response and resolution times, collaborating with internal teams, and so on.
Thank you for taking the time to chat with us—it sounds like you and your team are doing some amazing things at Plivo with the tools available to you. I look forward to speaking with you again soon!
Renu: Of course, my pleasure!

What is Call Quality? How to Monitor it in Your Contact Center
Call quality helps businesses measure the effectiveness of support conversations between customer service agents and customers. Learn about call quality and how to monitor it in this blog.
What is Call Quality? How to Monitor it in Your Contact Center
These days, contact center managers can find answers to questions about call strategy with a much more analytically rigorous approach than a reflection on their personal experience.
Thanks to the proliferation of cloud contact center solutions, collecting and analyzing conversational data from calls between customers and agents has never been easier.
With call recordings and call metrics, contact center managers can routinely identify low-quality calls, listen to them, spot weaknesses, and help the agent and team address these shortcomings through personalized training plans and alterations to call processes and scripts.
In this article, we’ll explain what call quality is, why monitoring it is so essential for contact centers, and how busy managers can do it efficiently and intelligently with the help of technology.
What is Call Quality?
Call quality is a measure of the effectiveness of phone call conversations between a business’s contact center agents and its customers.
Each contact center has its own set of standards that determine call quality. But, in general, high-quality conversations are those in which the contact center agent is polite and helpful and leaves the customer satisfied with a clear solution to their problem.
Call quality monitoring, on the other hand, is the ongoing process of gathering data about customer service phone calls and analyzing that data to find ways to improve a contact center’s performance.
Importance of Call Quality Monitoring in a Contact Center
When customer service has such a large effect on customer experience, sales, and customer retention, contact center managers have to work towards optimizing their team’s performance on the phones, and call quality monitoring is the most effective way to do that. The following analogy will explain why.
A top-tier sports coach adjusts their training regiment based on the weaknesses they perceive through closely observing players in action. They know that assigning dribbling practice to a forward with already dizzying foot skills is a failure to use training time as efficiently as possible.
The contact center manager must follow the same coaching strategy in order to consistently improve agent performance. They have to uncover the various weaknesses of each agent, as well as the overall team, through effective call quality monitoring.
By identifying shortcomings in how agents handle calls, the manager can give personalized training assignments or reference material to agents, such as a specific technical white paper or objection handling script.
Managers can also change their contact center processes to eliminate the shortcoming across the entire team.
For example, after diving into contact center analytics, you might find that calls tend to fail when customers ask about “technical issue X”. You could then educate their agents on that product problem and update the call script with language they can easily reference mid-call.
How Contact/Call Center Teams can Monitor Call Quality
The ultimate aim of call quality monitoring is to increase agent performance by identifying weaknesses in call handling and then implementing corrective action.
To monitor call quality, contact center managers set up systems to collect and analyze information about customer interactions to uncover insights about how to improve customer service.
They may use the following to collect information about customer calls:
- Call recordings
- Customer surveys
- Social media mentions
- Data from other channels — live chat, email, etc.
To visualize this in practice, imagine that you record all of the agents’ phone calls, along with the customer survey results about those conversations, in a contact center platform.
Whenever a customer leaves a poor review, you listen to the phone call with the agent, pinpoint the reasons why the call failed, and then instruct the agent on how to improve next time around.
If the issue is common enough, you may also update your team’s standard operating procedures or script to prevent it from happening again. You might also share the advice you gave the individual agent to the entire team in a team meeting.
As you can imagine, call quality monitoring gets tricky when there is a large number of calls to track. It’s impossible to listen to all of them, and difficult to tease out the most common flaws in agent call handling. With that in mind, here are some best practices to follow to ensure you monitor call quality efficiently:
Automate Call Data Collection & Analysis
Call data consists of call recordings, live metrics, historical reporting, and other call-related metrics like average handle time (AHT).
Many companies use a cloud contact center solution to capture this data automatically during conversations. The software also helps them analyze that data, making it easier to identify calls that failed, as well as why they failed.
In sum, automating data collection and analysis with the right software is an essential step in creating a systematic approach to call quality monitoring.
Listen Critically to the Recordings
On their own, the metrics you collect through automation won’t give you the entire picture of how the agent, or your process, is falling short.
To truly understand the nature of the problem, you need to listen to call recordings, asking questions like the following:
- Is the agent following the script?
- What causes customer friction? Are there certain talking points that come before it?
- What types of questions is the agent asking?
- When does the call seem to fall apart?
- Were there any missed opportunities to provide clarity?
- Is it evident that the agent is lacking some fundamental knowledge about the product?
A close, critical listen to an agent’s conversation with a customer can uncover subtle issues with the agent’s technique that you can help them overcome to unlock their true potential.
Track the Impact of New Processes
Whenever you implement a new call handling process or make changes to your script, it’s crucial that you track the impact of that shift. That way, you’ll come to know if your plan is actually paying off, or if you need to go back to the drawing board.
To track the impact, compare team-wide metrics like average handle time or average CSAT from before and after the implementation. Ask yourself whether there is a significant bump in these numbers. If it’s succeeding, great job. If not, you may have misdiagnosed the issue.
Conclusion
Monitoring call quality with an eye toward improvement in agent performance is an essential practice for leaders in contact centers. Only through ongoing call quality measurement and analysis can true progress occur.
If you’re looking for a tool that will help you monitor call quality and bolster agent performance with features like call whispering and agent dashboards, check out how PlivoCX can help.

Call Queuing: Benefits, Best Practices, And How it Works
Call queuing is a method of managing inbound calls at a contact center. This blog covers how you can use call queuing to manage call volumes and reduce overall agent workload.
Call Queuing: Benefits, Best Practices, and How It Works
If people get frustrated waiting in lines for something as fun as a roller coaster ride at an amusement park, imagine their agitation while waiting to speak with a vendor about technical issues and billing errors. Yikes.
As humans, patience is not our strong suit, especially when it comes to things we don’t necessarily enjoy in the first place. But, fortunately, we have tools and technologies at our disposal to alleviate the challenges or frustrations associated with customer service experiences.
These days, businesses have access to call queuing technology that ensures their customers can quickly reach an agent and have a satisfactory experience.
We’re here to offer you the basics of call queuing—how it works, why it’s so effective, and best practices for managing it.
What is call queuing?
Call queuing allows callers to virtually wait in line for their turn to speak with a customer service representative. This call queuing system allows contact centers to follow the social rule of first come, first served, mimicking what would occur in a physical place of business.
Implemented correctly with the right technology, call queuing leads to happier customers, more satisfied agents, and lower call-abandonment rates.
How does call queuing work in a contact center?
When a customer calls into a contact center, the call-queue feature assigns them a spot in line where they wait on hold, often listening to music, until it’s their turn to speak with an agent. This process is mostly consistent across systems—the specifics of the call-queue process, however, depend on which technologies the business uses.
For example, some cloud-based contact centers have a feature called automated callback, which enables the customer the option to hang up without losing their spot in the queue. When the customer reaches the front of the line, the phone software automatically calls them back and connects them with an agent.
Many call-queue software tools utilize an automated voice message to greet callers and tell them their spot in the line or the expected wait time. This gives customers a sense of control and helps to manage expectations—without this feature, 60% of customers are likely to abandon the call within the 2-5 minute range.
Five ways call queuing benefits your business
There are many benefits to using call queuing in your contact center, all of which lead to greater revenue numbers and lower customer churn for your business.
- Reduce customer wait time: IVR technology, a necessity for effective call queueing, routes customers to agents based on factors such as: availability, skill or specialty, region or time zone, language, and others. This distributes calls evenly and appropriately among agents and can significantly reduce average handle time.
- Keep customers engaged: Call-queuing software enables you to upload music files, greetings, and other messages to entertain or educate the customer during the wait.
- Improve brand loyalty: Customers are grateful to businesses that prioritize their time. They take it as a gesture of respect and value.
- Lower call abandonment: When customers can visualize how long the line is in front of them, they can more easily handle the wait. The automated callback feature makes it so they don’t even have to stay on the line.
- Increase customer satisfaction: Aside from shortening the wait, call-queueing software also often uses intelligent call routing to send customers to agents best equipped to answer their inquiry, which leads to faster resolution.
Call queuing isn’t just about keeping current customers happy—it’s also effective for securing new ones. If a new customer calls your business and then abandons the call because they cannot reach a service agent, it’s unlikely they’ll ever call back. They’ll take their business to a competitor instead.
Software for call queuing can reduce call abandonment rates via various features and therefore ensure that you avoid losing new, interested leads who call your business.
4 best practices of call queue management
Call queueing needs to be set up appropriately using the right software to effectively reduce the wait for your customers. Let’s go over four best practices for call queue management.
Provide self-service options to reduce the queue
The fewer people there are in line, the faster the queue moves. Find an omnichannel contact center solution that enables you to offer self-service options to your customers, such as chatbots and interactive voice response (IVR).
That way, customers with simple questions can get their answers quickly without calling your contact center and taking up a spot in the line that could go to a customer with a more complex issue.
Always use an IVR system
Most contact center solutions with call queuing offer an IVR system, which automatically greets inbound calls with an automated voice message and, based on caller input, routes them to the right department, team, or skill group.
You’ve likely been on the customer end of an IVR system before. The system begins by prompting you to select from a list of options (“dial 1 for customer service, 2 for sales”, etc.). Then, based on your response, it routes the call to the right department, where you may have to wait in a queue.
Or, if the question is a simple one like “what are the business hours,” the IVR can provide the caller with an answer, thereby eliminating their need to wait in line and shortening the queue for other customers.
Set up automated callbacks
Automated callback is a feature that allows customers to maintain their place in line without staying on the phone call. Depending on how costs are structured for outbound calling, businesses may opt to only use this feature during peak call volume periods.
If the customer opts into an automated callback, the phone system software will keep track of their spot, and when an agent becomes available, automatically place the outbound call.
Minimize customers’ hold time
According to HubSpot, 90% of customers rate an “immediate” response to a customer service question as being extremely important to their experience. One of the best ways to reduce hold time and get customers the fast service they want is to improve agent productivity.
Alongside call queuing, a cloud contact center solution will give your agents tools that enable them to more effectively handle customer calls, from call whispering to a unified agent dashboard - where they can review the customer’s details and past conversations, call scripting, and conversation analytics.
Conclusion
Customers just can’t stand waiting in line, so it’s essential that your business uses call queuing in your contact center to shorten the wait time or at least make it less painful.
If you’re looking for a tool that offers not only call queuing but also IVR, automated callbacks, and other features that help you improve your call handle time, check out PlivoCX, a cloud contact center platform that’s easy to use.

Benefits of Integrating Your Ticketing System and Contact Center
Integrating your ticketing system and contact center is essential to process tickets faster and solve customer issues. Read through this article to know the top benefits of integrating your CRM and contact center.
Why do businesses need ticketing software?
In today’s hyper-personalized market, customers are seeking to be understood. Quick resolution, regardless of the issue, and emotionally intelligent service staff are paramount to small and medium business success. Investing in tools that facilitate an efficient agent experience and a frictionless customer experience will elevate your business.
To accomplish this, consider your ticketing or customer relationship management (CRM) software and how well (if at all) it can integrate with your customer service software. In the short term, your customer service staff need to solve customer issues fast. Looking at the midterm, you need to track customer interactions with your brand and derive insights from those interactions. Monitoring patterns of customer behavior and agent “hacks” or workarounds to overcome points of friction in your systems and workflows can make a huge difference in customer experience. From a long-term strategy viewpoint, the insights from one quarter can inform forecasting to scale staffing, product, or support activities in the next.
In any case, a ticketing system coupled with a customer service solution will help enable you to find where customer relationships can improve and to position your business for continued growth.
Benefits of integrating your ticketing system and contact center
Consider critical tools used in other areas of your business: accounting software, inventory management, point of sale, and so on, each to manage a certain function of your business and give you insight as to what is happening. A ticketing system helps you manage internal or external issues that need resolution. For external customer interactions, that ticketing system coupled with an integrated contact center platform or customer service workspace will enable you to receive, process, and resolve customer inquiries. With robust integration between these two systems, the following are just a few examples of the benefits:
- Single source of truth and synchronized data across systems
- Efficient and effective business processes
- Improved agent experience and satisfaction
- Reduced duplication and errors
- Insights for agent coaching
- Historical data to inform forward-looking strategy
Who would benefit from integrating ticketing system and contact center
In general, any business that interfaces with customers would benefit from a ticketing system. Some signs or symptoms indicating you might need to make the investment could be:
- You frequently apologize for not getting back to customers
- Email is your customer service system
- Currently you have no way to calculate average issue-resolution time
If you currently have dedicated staff or agents for customer service inquiries and you do not have a ticketing system, your business is a prime candidate.
For support teams utilizing a multichannel approach—meaning your contact channels (phone, email, text, WhatsApp) are distinct or siloed, or you have to “swivel chair” from system to system to manage communications on each channel—a unified omnichannel customer service platform integrated with a ticketing system can be a game-changer for your business.
Contact center features to look for when integrating with ticketing systems
For businesses that are just beginning to unify and mature their customer service—perhaps from that multichannel approach to an omnichannel approach—or for businesses that are evaluating a system upgrade or replacement for their long-standing customer service practice, there are really two primary features to consider:
- API integration: Does the ticketing system provide an application programming interface (API) that can integrate with your customer service workbench?
- Automations: Are time-saving automations possible with my customer service, e.g., callbacks, sending reminders or notifications, queues, and routing
Why Contacto’s integration with ticketing systems can help
When considering the benefits of this type of integration, those most directly impacted are undoubtedly the customer and the agent. But simply tracking issues is not enough. You need a system to interface with customers and track those interactions for internal use. Let’s take a look at how a ticketing system coupled with a contact center can not only alleviate pain points, but offer added value as well.
Customer
Above customer satisfaction and net promoter score, customer effort has the most direct impact to top line revenue. The following pain/gain approach illustrates the benefits of various customer conversation channels coupled with a ticketing system:
Agent
Streamlined agent workflow makes efficient use of precious time and resources and increases agent satisfaction as a result. There are many agent experience enhancements a business might prioritize, but we recommend the following as the top two pain points to alleviate:
Conclusion
No matter where you are on the journey to improving, scaling, or maturing your customer service motion, a ticketing solution coupled with a contact center platform will drastically improve your business workflows, employee performance, and customer satisfaction.
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