AI chatbot
An AI chatbot supports dialogue using AI. A clear answer is not the same as a business operation actually completed.
An AI chatbot is a dialogue system that uses AI to process inputs and provide responses. It can classify questions, explain document information or help with a next step. Available sources and functions determine its scope.
A returns example
In a hypothetical shop, the bot explains how to register a return. It has not thereby registered one. That business operation needs a suitable connected function and the necessary permissions.
Conversational flow alone establishes neither factual correctness nor a successful operation. Missing information, unclear requests and handover to a responsible person need planned handling. Not every chatbot requires autonomous tool actions.
Sources
Related terms
- Large language modelA large language model processes language using learned patterns. Fluent text proves neither factual accuracy nor access to current business data.
- Retrieval-augmented generationRAG combines information retrieval with generated answers. Access to sources does not remove the need for quality and permission design.
- Human-in-the-loopHuman-in-the-loop actively involves people in an automated process. Useful review requires understandable information and ways to intervene.
- AI guardrailsGuardrails constrain and check AI application behaviour. Model instructions and technical enforcement perform different tasks.
- Model cardA model card documents an AI model’s purpose, foundations, evaluation conditions and known limitations for a particular version.
- AI readinessAI readiness concerns the foundations of an AI project: objectives, usable data, skills, responsibilities and an operating workflow.
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