Chatbot vs AI Agent: What’s the Difference?
"Chatbot" and "AI agent" are used interchangeably in sales decks. They are different products with different costs, and buying the wrong one is common.
- Published
Three generations
| Type | How it works | Can take actions? | Best for |
|---|---|---|---|
| Rule-based bot | Menus and keyword triggers | Only scripted ones | Simple, fixed flows |
| LLM chatbot | Answers from a model and your documents | No | FAQs and knowledge Q&A |
| AI agent | Model decides and calls tools in a loop | Yes — lookups, bookings, updates | Resolving requests end to end |
The real difference
A chatbot tells a customer how to return an item. An agent checks the order, confirms eligibility, books the pickup and sends the label. Resolution, not information, is what reduces workload — and it requires tools, permissions and evals, which is why agents cost more to build.
Which one you need
- Mostly repeated questions with answers in documents: an LLM chatbot with retrieval.
- Requests that need data from your systems or an action taken: an agent.
- Strict, regulated scripts: a rule-based flow, possibly with an LLM for understanding free text.
Frequently asked questions
Can a chatbot be upgraded to an agent later?
Yes, if built on a solid foundation. Adding tools and evals to a retrieval assistant is a common second phase.
Are agents riskier?
They can do more, so they need permissions, approvals and monitoring. Designed properly, they are safe.
What does each cost?
Retrieval assistants start around $6k–$18k; workflow agents around $20k–$55k.