What is conversational AI?
Conversational AI is software that holds a natural-language exchange across multiple turns, keeping track of what was already said rather than treating each message independently.
The term is used loosely enough to cover almost anything with a text box, but there is a practical test, and it is a follow-up question. Ask 'do you ship to Ireland?', get an answer, then ask 'how much?'. A system that answers the cost of shipping to Ireland is conversational. One that asks 'how much of what?' — or worse, answers about product pricing — is a form with a chat interface.
Why it matters
Customers do not ask complete questions. They ask a short one, then refine, exactly as they would with a person, and every refinement depends on what came before. A system that loses the thread forces them to restate context in every message, which they will do twice before leaving. Carrying context is not a luxury feature; it is the difference between a conversation and an interrogation.
Examples
- 'Do you have it in blue?' following a question about a specific jacket.
- 'And for the annual plan?' following a question about monthly pricing.
- 'What about weekends?' following a question about opening hours.
Not the same as
Scripted chatbot
A scripted bot follows a decision tree someone drew. Conversational AI generates each turn, so it handles phrasings nobody anticipated.
Voice assistant
Same idea, different input. Voice adds speech recognition in front and speech synthesis behind.
Related
term
What is a website chatbot?
The term covers two very different things. Older chatbots follow scripts and break the moment a visitor phrases something unexpectedly. Modern ones retrieve from a business's own content and generate an answer, which handles arbitrary phrasing.
term
What is an AI agent?
The word is used loosely. In customer support it usually means something more capable than a question-answering bot — a system that can look things up, take an action, or decide to escalate, rather than only replying.
term
What is a context window?
Everything a model considers — the instructions, the retrieved passages, the conversation so far and the answer being written — has to fit inside the context window. Windows have grown enormously, to the point where a modest website could be pasted into one wholesale, which raises the obvious question of why anyone still retrieves.
term
What is intent recognition?
Older chatbots were built entirely on this. Someone enumerated the intents — check_order_status, request_refund, ask_shipping_cost — wrote training phrases for each, and mapped every intent to a scripted reply. It worked exactly as well as the list was complete.
comparison
Rule-based chatbot vs AI chatbot
A rule-based chatbot follows a flowchart: recognised phrases lead to scripted replies. An AI chatbot retrieves relevant content and generates an answer. The first is predictable and brittle; the second handles what nobody anticipated.
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