Both live in a chat window, both answer questions - so what is the difference? A chatbot talks. An AI agent acts. That distinction changes what you can expect, what it costs, and how carefully you need to watch it.
A chatbot answers
A traditional chatbot follows a script or looks up answers. Ask it a question and it responds; the conversation is the whole job. Even a smart, AI-powered chatbot mostly retrieves and rephrases information. Useful, but it does not do anything beyond replying.
An agent gets things done
An AI agent takes a goal and carries out the steps to achieve it - across tools and systems, not just in the conversation. A support chatbot might tell a customer how to request a refund; an agent could check the order, confirm eligibility, process the refund and email confirmation. One informs; the other completes the task. This is the same leap we describe in what is agentic AI.
Why the difference matters
- Value - agents remove whole tasks; chatbots mainly deflect questions
- Risk - an agent takes actions with real consequences, so it needs guardrails and monitoring
- Cost and effort - agents need access to systems and careful setup; chatbots are simpler to deploy
- Trust - a wrong chatbot answer is a bad reply; a wrong agent action can be a wrong outcome
Which do you need?
If you want to answer common questions and reduce inbound load, a good chatbot may be enough. If you want to close the loop - resolve, not just respond - you need an agent, and the oversight that comes with it, as covered in does agentic AI work for customer service.
The bottom line
Chatbots reply; agents resolve. Knowing which your problem actually needs stops you overspending on one and underestimating the other. That kind of clear-eyed choice is what the Strategic Application of AI in Business course at London School of Business UK is built around. Enquire today.