Chatbot or AI agent: which one does your business need?

A chatbot answers questions in a conversation, from sources you choose. An AI agent also acts: it reads, decides within agreed limits and carries out steps in your systems, like updating a ticket. At Goudbeek in Almere the rule of thumb is: if answers are enough, use a chatbot; if work follows the answer, look at an agent.

The two words get used interchangeably, vendors included. Below is the difference, told through ordinary businesses, followed by a few questions that usually settle the choice.

What is the difference between a chatbot and an AI agent?

The difference is not how clever it is. Often the same kind of language model runs underneath both. The difference is what it is allowed to touch.

A chatbot produces text: an answer a person reads. An agent produces a change: a filled-in record, an updated order, a draft waiting in the outbox. So a chatbot's mistake is a wrong sentence, while an agent's mistake can be a sent email or an altered order.

That is why an agent needs more groundwork. Before it does anything, someone has to decide what it may do, and what always waits for a person.

When is a chatbot enough?

A chatbot is enough when the conversation ends at the answer. The answer is already in your own material, and nothing in any system has to change afterwards.

Picture a webshop that gets the same questions every day: what does shipping to Belgium cost, how long do I have to send this back, does this jacket run small? A chatbot that reads the product pages and terms answers them and links to the page it used. That is how a chatbot for your website that knows your catalogue and terms works.

Or take an installation company whose visitors ask whether it covers their area and what to prepare before requesting a quote. That information already exists somewhere. The chatbot answers and points to the request form.

It works internally too. Imagine an accountancy firm with a handbook on how client files are processed. An assistant that finds the right passage is a chatbot for staff: it answers, but it does nothing.

Sometimes even a chatbot is too much. If the same five questions keep coming in, a website that answers them up front may solve it more simply. Start there if you can.

When do you need an AI agent?

An agent becomes interesting when the real work starts after the answer: copying details from an email into a system, looking up a customer, setting up a task, sending a confirmation. Those are steps, not answers.

Back to the webshop. A chatbot can answer 'Where is my order?' if it is allowed to read the order status. 'I want to return this' is different: a return has to be created, a label sent and the order updated. The moment something gets created, changed or sent, you are talking about an agent.

Take an installation company that receives fault reports by email. An agent reads the report, pulls up the customer's installation and contract, judges the urgency and prepares a proposed slot with a draft reply. The planner approves or adjusts.

Or an accountancy firm where clients email their paperwork. An agent sorts it by client and period, spots what is missing and drafts a request for the rest. A colleague checks before anything goes out. That is the shape of an AI agent that works the queue and hands over the rest.

An agent also reads text from outside: emails, forms, attachments. That text can carry instructions that did not come from you; the OWASP Top 10 for LLM Applications calls this risk prompt injection. It is a reason to let an agent do less than it technically could, not a reason to avoid one.

What do a chatbot and an agent both need?

Whichever you choose, three things decide whether it works. None of them can be bolted on afterwards.

Your own sources. It answers from your catalogue, terms, help pages and data, not from whatever a language model happens to remember. It reads the source itself, not a copy: change a price and the answer changes with it. And it shows where the answer came from.

Limits. Write down what it may read, which topics it declines and, for an agent, what it may do on its own. A useful line is reversible versus irreversible: a draft can be thrown away, a payment or a sent email cannot. Everything on the irreversible side waits for a person.

A handover to a person. When it does not know, it says so and passes the conversation on with everything already asked. A handover that makes the customer start over is worse than having no chatbot at all.

Two things sit outside the technology. If the system sees data about customers or their orders that can be traced to a person, such as a name or email address, you are processing personal data and the GDPR applies. And Article 50 of the EU AI Act contains transparency rules for AI systems that interact directly with people. For what exactly applies and from when, read the official text on EUR-Lex. What that means for a single chatbot is covered in the EU AI Act for a business with one chatbot.

Which questions help you choose?

These questions usually settle it faster than comparing vendors. Ask them about one specific piece of work, not about the whole company.

Does something in a system have to change after the answer? No: a chatbot. Yes: an agent, or a chatbot that passes a complete request to a colleague.

Is the answer in material you already have? If not, write it down first. No chatbot or agent can answer from knowledge that only lives in someone's head.

Is the step exactly the same every time? Then you may not need AI at all, just a fixed connection between two systems. AI is for the part where something has to be read and judged.

What does a mistake cost? A wrong answer about opening hours is annoying. A wrong credit note costs more. The higher the cost of a mistake, the more should wait for a person.

Who reads what it could not handle? Someone has to own the unanswered questions and the handed-over cases. Without an owner, the system does not get better.

Can you combine a chatbot and an agent?

Yes, and it is often the natural shape. The chatbot sits at the front and answers whatever your material covers. When someone wants something done, the chat collects the details and passes a complete request to an agent or a colleague.

Back to the installation company. A visitor asks about servicing their boiler and wants an appointment. The chat asks for the address, the brand and preferred days. An agent then drafts a slot in the schedule, and the planner confirms it.

Do not build both at once. Start with the chatbot and collect the questions it could not answer or had to pass on. That list shows which work an agent could take over, and which it should not.

How does Goudbeek approach this?

We start with the work, not the technology. First we map how a question or request actually runs today, including the exceptions everyone knows and nobody wrote down.

Then we pick the simplest thing that works: sometimes a better page, sometimes a chatbot that answers from your own catalogue and terms, sometimes an agent. We build one prototype on your real data, say a handful of pages or one queue, so you can see whether it is right before going further. Chatbots and agents are both part of our AI solutions for businesses.

What the system may see and do, and what waits for a person, we put in writing. The off switch stays with you. After a short intake we agree a fixed price, and it then runs on managed hosting from €39 per month. Your domain, code and content stay yours.

Not sure whether you need a chatbot or an agent? Get in touch or request a quote; we reply within one working day.