- A chatbot answers questions; an AI agent can also look things up, decide and take actions.
- Agents need access to your systems, permissions and approval rules.
- Start with a chatbot if questions are the problem; choose an agent if repetitive tasks are the problem.
- Many projects start as a chatbot and add agent actions step by step.
The simple definition
A chatbot is software that holds a conversation. Modern AI chatbots understand free text and answer from a knowledge source, such as your FAQs or documents.
An AI agent goes one step further. It can use tools: look up an order in your ERP, check a calendar, create a ticket, draft an email or ask a manager for approval. It decides which steps are needed to finish a task and carries them out within the rules you set.
A practical example
A customer writes: "Where is my order 4471, and can you change the delivery address?"
- A chatbot explains how deliveries work and gives the phone number of customer service.
- An AI agent checks order 4471 in your system, sees that it has not shipped yet, updates the address, confirms the change to the customer and logs it for your team.
Side by side
| Chatbot | AI agent | |
|---|---|---|
| Main job | Answer questions | Complete tasks |
| Access to systems | Read-only knowledge | Reads and writes in ERP, CRM, email, calendars |
| Rules needed | What it may say | What it may say and do, with approvals |
| Effort to build | Lower | Higher, mainly for integrations and testing |
| Typical value | Fewer repetitive questions | Hours of manual work saved per day |
When a chatbot is enough
If most messages are questions with known answers, such as opening hours, prices, policies or how-to questions, a well-built chatbot solves the problem. It is faster to launch and easier to maintain.
When you need an AI agent
If your team spends its time on repetitive tasks after the conversation, such as entering orders, updating records, checking documents or chasing approvals, an AI agent saves far more time. The same applies to internal processes without any chat, such as processing incoming invoices.
How to keep agents safe
- Give the agent only the permissions it needs.
- Require human approval for actions above a limit, such as refunds or payments.
- Log every action, so you can see what the agent did and why.
- Test with real cases before going live, and keep testing after launch.
Learn more on our AI agents and assistants page or try a live demo.