Applied AI

Voice AI agents

Agents that answer and place calls, understand Indian languages and accents, and complete the task rather than reading a menu tree.

What is a voice AI agent?

A voice AI agent handles a phone conversation end to end — understanding natural speech, checking your systems, taking action and speaking a response. Unlike a traditional IVR it does not require the caller to navigate menus, and it can handle interruptions, accents and questions asked out of order.

The bar is a human, not an IVR

People already loathe phone menus, so beating an IVR is not the test. The test is whether the caller gets what they needed without repeating themselves or waiting. That requires low latency, graceful handling of interruption, honest recognition of confusion, and immediate handover to a person when the conversation goes beyond scope.

Indian deployments add a real constraint: code-switching between English, Hindi and Marathi mid-sentence is normal, and models vary in how well they handle it. We test on your actual call recordings before committing to an accuracy target.

Process

How we deliver it

1Analyse real callsSample your recordings forlanguage mix, accents andcommon intents.2Design the conversationIntents, actions, confusionhandling and handovertriggers.3Build and integrateTelephony, speechrecognition, model,synthesis and system access.4Test on real audioMeasure recognition and taskcompletion on your ownrecordings.5Launch with fallbackHuman handover alwaysavailable, monitored fromday one.
Process flow for Voice AI agents
  1. 01

    Analyse real calls

    Sample your recordings for language mix, accents and common intents.

  2. 02

    Design the conversation

    Intents, actions, confusion handling and handover triggers.

  3. 03

    Build and integrate

    Telephony, speech recognition, model, synthesis and system access.

  4. 04

    Test on real audio

    Measure recognition and task completion on your own recordings.

  5. 05

    Launch with fallback

    Human handover always available, monitored from day one.

Deliverables

What you receive

  • A live voice agent on your telephony platform
  • Multilingual configuration tested against your actual call audio
  • System integrations for lookup and action
  • Handover rules and operator context packaging
  • Call transcripts, analytics and quality review process

Engagement shape

Eight to twelve weeks including the audio testing phase, which we do not skip.

Tooling

What we typically build with

  • Speech-to-text APIs
  • Text-to-speech APIs
  • Anthropic API
  • Twilio and Exotel
  • WebRTC
  • Python
  • Node.js

Stack decisions follow the problem. This is where we usually start, not a fixed menu.

Frequently asked

Questions we get about this

Does it work with Indian accents and languages?

Recognition quality for Hindi, Marathi and Indian-accented English has improved substantially, but varies by domain vocabulary and audio quality. Landline and low-bandwidth mobile audio is harder than a clean headset. We test on your own recordings and report real numbers rather than quoting vendor benchmarks.

What happens if the caller gets frustrated?

Immediate handover, triggered by explicit request, repeated misunderstanding or detected frustration. The agent passes the transcript so the caller does not start again. An agent that traps people is worse than no agent.

Talk it through before you commit

A discovery call is a working session on your constraint, not a sales pitch.

Quick inquiry

Tell us what you're trying to build

A short note is enough. You'll hear back from the team, not a bot — usually within one working day.

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