An AI agent differs from a chatbot in that it takes actions rather than only producing text. It can look something up, update a record, send a message or trigger a workflow, chaining several steps toward a goal.

That capability is genuinely useful, and it is also where the risk sits. A system that can act can act wrongly, and it will do so with the same confident tone it uses when it is right.

The practical question for a small business is not whether agents work. It is which specific tasks sit on the reliable side of the line.

Tasks requiring judgement about exceptions. An agent handles the standard case well and the unusual case badly, because the unusual case is precisely what the rules did not anticipate.

Anything with reputational or financial consequence at the point of action. Sending a message to a client, issuing a refund or committing to a delivery date are decisions that should require a person to press the button, even when the agent prepares everything up to it.

Situations where being wrong is invisible. A misfiled record or a subtly incorrect summary can propagate for weeks before anyone notices. Design the workflow so failure is loud, not quiet.