T Textura

Glossary term

What is a voice AI agent?

A voice AI agent is a software conversationalist that carries out a phone conversation by voice: it listens to the caller's speech, understands it and responds in real time according to a defined script. It combines speech recognition, a language model and voice synthesis into a single dialogue loop.

A voice agent operates as a closed loop of several components. Speech recognition (STT) turns the caller's words into text, a language model (LLM) understands intent and forms a response according to the script and rules, speech synthesis (TTS) voices it, and a telephony layer connects all of this to a real line. The key requirement is low latency: the pause between the end of the caller's phrase and the agent's reply must be close to human.

Agents can be inbound or outbound. An inbound agent answers calls, holds a dialogue, collects data and hands off to a human; an outbound agent initiates calls itself for routine scenarios — lead qualification, surveys, reminders and confirmations, reactivation, notifications. In both cases the agent follows a configured persona, conversation goal and rules for collecting and validating fields.

For a business, a voice agent takes the load off people for high-volume, repetitive conversations: it's available around the clock, holds dialogue consistently, doesn't tire and scales without a proportional increase in headcount. And every call it makes is recorded and enters the same analysis loop as conversations with live agents.

A voice agent is tightly linked to speech analytics: it doesn't just generate conversations, it learns from them. Annotated calls and the knowledge base assembled from them help calibrate scripts, objection handling and tone, while analytics shows where the agent errs — closing the "call → analysis → agent improvement" loop.

How it works in the platform

In the platform, the voice agent is configured through a scenario builder: number (DID), language, TTS voice, recognition engine, dialogue LLM model, persona, goal and handoff rules. Its calls are recorded and automatically go through transcription, metrics, tags and automations, closing the flywheel of "talks → listens → understands → improves."

Related terms

AI secretary An AI secretary is a voice AI agent for inbound calls that answers the call, holds a dialogue, qualifies the request and routes it to the right person. Unlike a simple answering machine, it understands speech and acts on a scenario rather than playing back fixed recordings. Barge-in Barge-in is the ability of a caller to interrupt a speaking voice agent: as soon as the person starts talking, the agent falls silent and switches to listening. This feature makes a conversation with the bot feel natural, close to a live dialogue. STT (speech recognition) STT (speech-to-text) is the technology of automatically converting spoken speech into text. It's the base component that makes it possible to read, search and analyze conversations, as well as to understand the caller in voice agents. LLM (large language model) An LLM (large language model) is an AI model trained on large volumes of text that can understand and generate natural language. It can answer questions, summarize, extract data and hold a dialogue, working with text as a flexible input and output.

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