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Voice AI Agent

A voice AI agent is an AI-powered system that has real-time spoken conversations — over a phone call, a web widget or a SIP trunk — using speech recognition, a language model and speech synthesis.

Definition

A voice AI agent is an AI-powered system that can hold real-time spoken conversations with a human. It converts the human's voice to text using speech-to-text (STT), feeds the text to a large language model (LLM) which decides how to respond and which tools to call, then converts the LLM's response back to speech using text-to-speech (TTS) — all within a few hundred milliseconds per turn. Voice AI agents run on web widgets, phone calls, and SIP trunks, and can call external APIs to take real actions like booking appointments or updating a CRM.

The three-part stack

Every voice AI agent is built on the same three layers:

  1. Speech-to-Text (STT): The user's voice is transcribed into text in real time. Popular providers include Deepgram, Sarvam Saaras, AssemblyAI and Whisper.
  2. Language model (LLM): The text is sent to an LLM like GPT-4o, Claude, Gemini, Groq or Sarvam LLM. The LLM decides the response — and may call tools (functions) to look up data, book appointments, or trigger downstream actions.
  3. Text-to-Speech (TTS): The LLM's response is converted back to human speech using a TTS provider like ElevenLabs, Cartesia, Sarvam Bulbul or OpenAI TTS.

What makes it different from an IVR

An IVR follows a scripted decision tree — press 1 for sales, press 2 for support. A voice AI agent uses natural language understanding — the caller can say anything, and the agent understands intent, asks follow-up questions, calls external tools to look things up, and responds conversationally.

Typical latency budget

For conversational quality, a voice AI agent needs to respond within 500–800ms from the end of the user's speech. That budget is split across STT (~100–200ms), LLM (~150–400ms), TTS (~150–300ms), plus network round-trip.

Common use cases in India

Debt collections, BFSI customer service, EMI reminders, appointment booking, lead qualification for real estate, cart recovery for D2C brands, student counseling for EdTech, and citizen helplines for government services.