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"Chatbot" and "AI agent" get used interchangeably, but they solve different problems. A traditional chatbot follows a decision tree: if the customer's message matches a pattern, show a scripted reply. It's fast to build and completely predictable — and it breaks the moment a question falls outside the script.
An AI agent works from context instead of a script. It can look up an order, reason about what the customer is actually asking, and take an action — issue a refund, escalate to a human, update a record — rather than just returning text. The difference shows up most clearly in the cases a chatbot can't handle at all.
The tradeoff is setup cost: an agent needs real access to your systems and clear guardrails on what it's allowed to do. That's a bigger lift than writing a script, but it's also the part that actually removes work from your team's plate instead of just reformatting it.