"Chatbot" and "AI agent" are often used interchangeably, but the difference is big. In short: a chatbot talks, an AI agent acts. That difference decides whether you mainly answer questions, or whether work is actually taken off your hands.
What is a chatbot?
A chatbot holds a conversation and gives information. Classic chatbots work with fixed scripts and decision trees; modern chatbots use a language model and phrase things more freely. But they stay with talking: they answer questions from the information they were given, and refer onwards for the rest.
What is an AI agent?
An AI agent is given a goal and takes the steps itself using tools: looking up information in your ERP, creating an order, preparing a document or bringing in a colleague. The agent acts within limits you set — which actions are allowed, up to what amount, and when a person always checks.
The difference in one example
A customer messages: "8 boxes of tomatoes, delivery tomorrow please."
- The chatbot replies: "Thanks for your message! A colleague will contact you as soon as possible." Someone still has to retype the order afterwards.
- The AI agent recognises the customer, fetches the customer price and stock from the ERP, confirms the order with price and delivery date and creates it in the system. If anything deviates, the order goes to a colleague.
Here’s how that works in practice: automating order processing with an AI agent.
Side by side
| Chatbot | AI agent | |
|---|---|---|
| Goal | Answer questions | Complete tasks |
| Access to your systems | Usually none | Yes, via integrations and permissions |
| Result | An answer | An answer + an action (order, booking, notification) |
| Boundaries | Script or instructions | Rules, permissions and human oversight |
| Good for | FAQs, first-line information | Order entry, customer service with live data, document processing |
When is an agent the better choice?
When there is a lot of repetitive work for which someone has to check a system or enter something: orders, order status, stock questions, invoices. The higher the volume and the clearer the rules, the more an agent delivers. For purely informational questions a good chatbot or a customer-service agent without write access may be enough.
How you stay in control
- Permissions per action: the agent may only do what you allow — for example create orders, but not issue credits.
- Thresholds: above an amount, with a deviating price or an unknown item, a person decides.
- Only what the customer may see: the agent only consults each customer’s own data.
- Logging: every action can be reviewed, so you can check and adjust.
- Your data stays yours: data is not used to train AI models; agreements are in the data processing agreement.
How to start
Pick one process with lots of repetition — often order entry or the most common customer questions — and look at how much time goes into it. The calculator gives you an estimate in ten seconds. In a free process call we then look at whether an agent, a chatbot or simply a smart integration is the best choice.
Curious what an agent could take over in your process?
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