Glossary · AI and automation

What is an AI agent?

An AI agent is a program that doesn't just answer a task but independently breaks it into steps and uses tools — such as querying a database, sending an email, or entering an appointment. The difference from a chatbot is that an agent acts instead of just answering.

As of 2026Explained briefly

01 — Context

AI agent in detail

Technically, an agent consists of a language model, a list of permitted tools, and a loop: the model decides which tool to use next, executes it, examines the result, and decides again. This loop ends when the task is complete or a limit is reached.

This autonomy is both benefit and risk. An agent permitted to send emails independently can take a lot of work off your hands — and cause a lot of damage if it misjudges a situation. That's why every productive agent needs a clear list of what it may do, and a point where a human confirms.

02 — Practice

What this means for small businesses

Context

In small businesses, agents rarely pay off for complex decisions, but rather for clearly defined chains: receive inquiry, add data, suggest appointment, send confirmation. As soon as the steps become uncertain, a simple, rule-based process is more reliable and cheaper.

03 — Questions

Frequently asked questions

Is an AI agent the same as a chatbot?

No. A chatbot answers, an agent executes actions. Many systems combine both: the chatbot answers questions and hands off to an agent as soon as something needs to be done.

Can an agent make mistakes that become expensive?

Yes, that's why this applies: the more consequential an action, the more it needs human confirmation beforehand. An agent can usually read freely, but write and send only within clearly defined limits.

Next step

We'll look at your starting position.

Tell us what's eating up time today. That becomes an assessment with effort and benefit — and only then an offer.