AI agent: simple definition, examples and costs for an SME

In short

An AI agent is a program that, unlike a chatbot, does not just answer: it executes actions (qualifying a case, following up with a client, extracting data, connecting your tools). That is the difference between an assistant that talks and an assistant that does.

• An agent reads data, makes decisions according to your rules, and chains actions across your tools.
• It is supervised: activity logs, dashboards, escalation to a human when needed.
• Unlike no-code, it is production code, robust at scale.
• For an SME, running an agent costs around 5 to 30 EUR/month depending on volume.

The problem, concretely

Your teams spend hours on repetitive tasks: sorting cases, following up with clients, re-keying data between two tools. An AI agent does these tasks for you, following your rules, 24/7, with no data-entry errors. The human keeps supervision and sensitive decisions.

Chatbot vs agent: the difference

A chatbot answers questions (it reads your documents and cites its source). An agent goes further: it reads, decides and acts in your tools (qualification, follow-ups, extraction, CRM updates). An agent may even use a chatbot to answer, but it adds action.

Concrete examples for an SME

• Case qualification: the agent reads the documents, applies your criteria, classifies and forwards.
• Follow-ups: quotes, unpaid invoices, missing documents: the agent follows up at the right time, with the right tone.
• Extraction and data entry: it reads a document and updates your CRM or spreadsheet.
• Summaries: it summarizes meetings and documents, with the actions to remember.

Why it matters to you

The AI agents I deliver are already built and run in production on beforbuild.com: I adapt them to your processes, at a fixed price from 440 € excl. tax, no subscription, with the steering dashboard included. Details on the AI agents and automations page.