How do AI agents differ from chatbots?

A chatbot responds to messages, usually by answering questions from scripts or a knowledge base. An AI agent works toward a goal: it plans steps, uses tools and APIs to take actions in other systems, remembers context, and decides when to involve a human. In short, chatbots talk; agents talk and do the work.

Side-by-side

ChatbotAI agent
GoalAnswer the messageComplete the task
BehaviorReactivePlans and acts
ActionsFew or noneCalls tools and APIs
MemoryCurrent conversationConversation plus business context
AutonomyFollows scriptsDecides next steps within guardrails
Example“Your order ships Friday.”Finds the delayed order, reroutes it, issues a credit, and tells the customer

Where the line blurs

Many modern chatbots use the same large language models as agents. The difference is not the model; it is whether the system can reason over several steps and take real actions with permissions and approvals.

When to use which

Use a chatbot for simple FAQs and lead capture. Use an AI agent when resolving the request requires looking up account data or changing something, such as refunds, access requests, or troubleshooting with logs.

Safety matters more with agents

Because agents act, they need permission checks, approval gates for sensitive actions, and an audit trail of everything they did.

Frequently Asked Questions

Language

Certified Secure

secure