Human-like conversations. Real business outcomes.
AI-powered secure, scalable voice agents delivering consistent, human-like engagement across customer journeys.
25B+Interactions a year, trusted by the leading brands.
From calls to conversions: Voice AI in action
Explore real-world use cases where AI-powered voice agents automate conversations, improve resolution rates, and deliver consistent, human-like customer experiences.
Where intelligence meets human-like voice experiences
A powerful capabilities core designed for accurate, empathetic, and enterprise-ready voice interactions.
- Intent, context & sentiment intelligence
- Multilingual conversational experience
- Best-in-class voice streaming infrastructure
- Personalized context aware interactions
- Enterprise-grade reliability & security
- Scalable, action-ready & enterprise-grade
Deliver empathetic, context-aware responses that mirror human understanding.
- Detect intent & emotion beyond spoken words
- Generate context-aware responses with semantic search
- Align tone with customer sentiment
Deliver empathetic, context-aware responses that mirror human understanding.
- Detect intent & emotion beyond spoken words
- Generate context-aware responses with semantic search
- Align tone with customer sentiment
Enable natural uninterrupted conversations across languages, accents and speech styles
- Regional & global language support
- Accent & speech variation handling
- Maintain uninterrupted conversational flow
Built for real-world voice environments.
- Noise-resilient speech recognition
- Interruption & barge-in handling
- Low-latency voice streaming pipeline
Deliver conversations aligned to user context and business goals.
- Personalize using names, history, and context
- Configurable across sales, support, collections, and HR workflows
- Adapt tone, glossary, and behavior to brand guidelines
Built for production-scale deployments.
- High availability & intelligent failover
- Secure data handling & compliance readiness
- Scales from pilot to millions of conversations
Deploy with confidence — integrate, automate, and scale from pilot to production.
- Ingests knowledge from business documents and structured sources
- Integrate via APIs for real-time actions and workflows
- High availability with intelligent failover and scalability
Proven outcomes. Real impact.
JSW MG Motor India Supercharges Service
View Case StudiesAt JSW MG Motor India, our commitment to delivering exceptional customer experiences drives every decision we make. When we identified the need to streamline our customer communications, we sought a partner who shared our vision for service excellence. Through our collaboration with Exotel, we've transformed our customer service operations. The centralized system has empowered our 400+ agents to deliver consistent, high-quality service across all touchpoints. We're proud to see a 22% increase in customer satisfaction. The unique virtual numbers for each dealership have reinforced our brand identity while eliminating customer confusion. This transformation has strengthened JSW MG Motor's position as a customer-centric automotive brand, enabling us to focus on what we do best - delivering exceptional experiences to our customers.
Kapil Bajaj
Head - Digital Transformation and Analytics
JSW MG Motor India Pvt Ltd
Turn conversations into conversions
Deploy AI voice agents to resolve queries and boost outcomes.
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Voice agent FAQs & insights
What is a voicebot / AI Voice Agent and how does it work?
A voicebot is an AI-powered agent that interacts with callers over phone calls, understands natural language, and responds in speech to complete tasks like answering queries, booking appointments, checking status, or routing calls.
What are the key benefits of using AI voice agents for customer calls?
AI voice agents offer 24/7 availability, faster resolution of high-volume queries, reduced agent workload, lower operational costs, and consistent, policy-aligned responses, improving efficiency and overall customer experience.
How is an AI voice agent different from a traditional IVR system?
Unlike IVRs that rely on rigid menus and keypad inputs, AI voice agents enable natural conversations, understand varied phrasing, handle follow-ups dynamically, and can escalate seamlessly to human agents when required.
What are common customer support use cases for voice AI agents?
Voice agents handle FAQs, order or ticket status updates, intent-based routing, and pre-call data capture, helping reduce average handling time while improving resolution speed and customer experience across support workflows.
What sales use cases can AI voice agents effectively support?
Voice agents qualify leads, answer product questions, address objections using approved messaging, and schedule demos or callbacks, making them highly effective for first-touch engagement and improving conversion rates.
How do AI voice agents streamline scheduling and appointment management?
They can book, reschedule, or cancel appointments in real time, check availability via integrations, and send confirmations or reminders, reducing no-shows and significantly lowering administrative workload for teams.
Can AI voice agents support payment reminders and collections workflows?
Yes, they automate reminder calls, explain dues, capture payment commitments, share secure payment links, and escalate sensitive cases to human agents, improving collections efficiency while maintaining compliance.
Which industries benefit the most from implementing AI voice agents?
Industries like BFSI, healthcare, retail, logistics, telecom, travel, edtech, and real estate benefit through use cases like collections, support, bookings, tracking, onboarding, and customer engagement at scale.
How does an AI voice agent accurately understand caller intent?
AI voice agents use advanced speech recognition, intent detection, and contextual memory to interpret meaning beyond words, handling accents, varied phrasing, and multi-turn conversations with high accuracy.
Can AI voice agents integrate with existing business systems and tools?
Yes, they integrate with CRMs, ticketing systems, ERPs, and payment gateways via APIs, enabling real-time data access and action execution during calls, ensuring seamless and connected customer experiences.
What happens if the AI voice agent cannot resolve a customer query?
The system transfers the call to a human agent with full context, including conversation summary and captured inputs, ensuring a seamless handoff without repetition and maintaining continuity in customer experience.
Are AI voice agents secure and compliant for enterprise use?
AI voice agents follow enterprise-grade security with encrypted communication, role-based access controls, and compliance-ready architecture, ensuring data protection and alignment with regulatory requirements.
Can AI voice agents handle multilingual and regional conversations?
Yes, they support multiple languages and accents, enabling natural conversations across regions while maintaining consistency, accuracy, and quality in customer interactions at scale.
How do AI voice agents improve contact center performance metrics?
They improve FCR, reduce AHT, increase containment rates, boost CSAT and NPS, and lower cost per interaction by automating routine queries and enabling faster, more efficient resolutions.
Can AI voice agents personalize conversations for each customer?
Yes, by leveraging CRM data, past interactions, and history, voice agents deliver personalized responses, recommend relevant actions, and adapt tone based on customer context for better engagement.
How quickly can an AI voice agent be deployed and scaled?
With pre-built workflows and API integrations, voice agents can be deployed quickly for pilot use cases and scaled across functions, enabling faster time-to-value and enterprise-wide adoption.
How do AI voice agents enable effective AI-human collaboration?
Voice agents handle repetitive tasks while complex or sensitive interactions are routed to human agents with context, improving productivity, reducing workload, and delivering a balanced customer experience.