The categories overlap
A chatbot is any interface that lets a user converse with software. It may follow fixed decision trees or use a language model. An AI agent is usually described as working toward a goal using instructions and context, with optional tools that let it take actions.
Modern vendors use both terms, so the label alone is not a reliable buying criterion.
Compare the actual system
- PurposeWhat exact job and audience is configured?
- KnowledgeWhich sources can it use, and who maintains them?
- ActionsCan it only answer, or can it access external systems and change state?
- ControlsWhat topics, permissions, uncertainty rules, and approvals apply?
- HandoffHow does a person take over when judgment or authorization is required?
When a scripted chatbot wins
Use a deterministic flow when the allowed paths are few, the wording can be constrained, and predictable execution matters more than conversational flexibility. A simple router or form can be easier to test than generative AI.
When a knowledge agent helps
Use a knowledge agent when people ask the same subject in many different ways and the answer must be assembled from a maintained body of information. The flexibility makes content quality and boundary testing essential.
Choose the smallest responsible capability
Do not add autonomy merely to satisfy a category label. Begin with answers, links, and a reliable handoff. Add actions only when the permissions, validation, audit trail, failure handling, and user confirmation are appropriate for the risk.