The difference is action
A conventional chatbot is usually optimized for conversation. An agent is designed around a task. It may retrieve approved information, call an API, update a record, route a request or ask a person for approval.
Agents need boundaries
Useful agent architecture is less about giving a model unrestricted access and more about defining a narrow operating envelope. Tools should expose only the actions the workflow needs. Permissions, validation and logging should sit around those tools.
A practical pattern
- Receive a request.
- Retrieve relevant business knowledge.
- Classify the task and determine the permitted next step.
- Call an approved tool or request human approval.
- Record the action and outcome.
Start with a measurable workflow
Good candidates have a clear trigger, repeatable steps, accessible data and a meaningful outcome. If the process changes every time or requires unrestricted judgment, an agent may add complexity rather than remove it.