What is Conversational AI?
Turkish: Konuşan Yapay Zeka (Conversational AI)
Conversational AI lets software understand language, keep context, and complete multi-turn conversations over text or voice.
What is Conversational AI?
Conversational AI refers to systems that manage text or voice dialogue with language understanding, context tracking, retrieval, and action execution. A chatbot may be the visible interface; conversational AI also includes the understanding and decision layer behind it.
How It Works
The system receives text directly or converts speech to text. It then evaluates intent, entities, conversation history, user profile, and allowed data sources. The response may be generated by an LLM, retrieved from a knowledge base, or used to start a workflow such as payment, appointment booking, return handling, or reservation.
In voice scenarios, speech-to-text, text-to-speech, interruption handling, and low latency are important. In enterprise scenarios, personal data boundaries, retention policy, audit logs, and the risk of incorrect answers require explicit design.
Difference From a Chatbot
Not every chatbot is conversational AI. A menu-based bot can only follow predefined options. Conversational AI uses NLP and LLM capabilities to interpret user intent more flexibly, remember prior messages, and connect to backend systems when the request requires it.
Customer support assistants, sales advisors, field-service routing, and internal knowledge assistants are common use cases.
Related Terms
A chatbot is a conversational interface that answers user requests through scripted flows, retrieval, or AI-generated responses.
LLM (Large Language Model)An LLM is a model trained on large text datasets that can understand and generate natural language, forming the basis of tools like ChatGPT.
NLP (Natural Language Processing)NLP is the AI field that processes human language as text or speech for tasks such as classification, search, summarization, and generation.