Chatbots and AI agents are often confused. One answers questions; the other gets things done in your systems. Here is how to tell them apart and choose between them.
The short answer
- An AI chatbot answers questions. It reads a message and replies, usually from a knowledge base or documents.
- An AI agent takes actions. It reads a request, decides what to do, and uses tools such as your order system, CRM or calendar to get it done, then reports back.
A chatbot can tell a customer your return policy. An agent can check their order, confirm it's eligible, start the return and send the label.
How a chatbot works
Modern chatbots use a language model, often with retrieval-augmented generation, to answer from your own content. They're good at:
- Answering FAQs from help articles and policies.
- Guiding people to the right page or form.
- Collecting details before handing over to a person.
They don't change anything in your systems, which keeps them simple and low-risk.
How an agent works
An agent combines a language model with tools: defined, permissioned actions such as look up order, update address or book appointment. For each request it:
- Works out what the person wants.
- Chooses which tools to call, and in what order.
- Checks the results.
- Either completes the task, asks a clarifying question, or hands over to a person.
Because agents act, they need more design: clear limits, confirmations for sensitive actions, and logs of everything they do. Our guide What Is an AI Agent? covers this in more depth.
Which do you need?
- Mostly questions? Start with a chatbot grounded in your documents.
- Many requests that end with someone doing the same few steps in a system? That's agent territory.
- Not sure? Look at a sample of real conversations or tickets and count how many need an action rather than an answer.
Many teams start with a chatbot, then add agent capabilities one task at a time.
Making agents safe
- Give each agent only the permissions its job needs.
- Require confirmation for refunds, cancellations, payments and anything irreversible.
- Hand over to a person, with full context, when the agent is unsure.
- Log every action, and test against real past requests before launch.
Conclusion
Chatbots inform; agents act. Choose based on what your users actually need done, start with the narrowest useful version, and add actions as you build confidence. See how we build AI agents.