The two get used interchangeably, but they solve very different problems. Here's the practical distinction.
"Chatbot" and "AI agent" get used almost interchangeably in marketing copy, but for a business trying to decide what to actually implement, the distinction matters a lot more than the terminology suggests.
A traditional chatbot is built to answer questions — it retrieves information and responds, but it doesn't take action in your other systems. An AI agent goes further: it can look things up, make decisions within defined boundaries, and actually do something — update a record, send a follow-up, flag an order for review — without a person manually completing that step.
A chatbot that answers "what are your opening hours" saves a small amount of time per query. An agent that reads an incoming enquiry, checks stock availability, and drafts an appropriate reply — or escalates it correctly if it can't — saves considerably more, because it's replacing several manual steps, not just one lookup.
The more an AI system can act rather than just talk, the more important it is to define exactly what it's allowed to do unsupervised versus what needs a person to approve first. A well-built agent has clear guardrails around anything involving money, customer commitments, or actions that are hard to reverse.
If the goal is simply answering repetitive questions faster, a well-built chatbot might be all you need. If the goal is removing manual steps from a workflow — not just the conversation around it — an agent is usually the better investment, even though it takes more thought to set up properly.
We scope this distinction with every client before recommending either — see how we approach it under AI Agents.
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