Conversational AI
Conversational AI is technology that lets computers hold natural back-and-forth conversations with humans in text or voice. It uses large language models to understand intent, remember context across turns, and generate human-like replies.
What does Conversational AI mean in practice?
Conversational AI is an umbrella term for software that holds multi-turn conversations — unlike scripted chatbots that only answer pre-defined questions. Modern conversational AI is built on large language models (LLMs), retrieval from business knowledge, tool-calling, and guardrails that decide when to book, quote, collect details, or hand over to a human. For Indian service businesses, the practical test is not whether the bot can answer a greeting. It is whether it can remember that a customer asked for a bridal package, switch from English to Hindi or Telugu mid-conversation, check real appointment availability, send a WhatsApp confirmation, and log the lead in the owner's sheet without losing context. A production conversational AI should be measured on containment rate, booking conversion, escalation quality, response latency, and whether the same answer appears across web chat, WhatsApp, Instagram, and voice.
Related terms
More terms in this category
Voice AI
Voice AI is conversational AI that communicates through voice instead of text. It combines speech-to-text (STT), a large language model for understanding, and text-to-speech (TTS) to reply in a human-like voice.
Chatbot
A chatbot is software that holds text conversations with people. Traditional chatbots follow fixed rules or menus; modern AI chatbots use a large language model to understand free-form questions and reply naturally.
White-Label Software
White-label software is a product one company operates while another company presents and sells it under its own brand, domain, client relationship, and retail price.
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