An AI employee does the work. Not just the talking.
Some tasks eat your team’s days without moving the business forward: watching a shared inbox, sorting requests, chasing unanswered quotes, re-typing data from one tool into another. An AI employee takes that work over end to end, every day, without being reminded. We build it for one specific task, with hard limits and a log of everything it does. Since 2 August 2026, the EU AI Act requires that people be told they are dealing with an AI system, unless that is obvious from the context: an agent that writes to your clients says so. You stay in control. If you want a tool your teams open when they need it, see Custom AI solutions.
An assistant answers. An agent acts.
You probably know assistants like ChatGPT: you ask a question, they answer. Useful — but you’re still doing the work, before and after.
An agent is different. It watches, sorts, decides within the limits we set for it, and executes. Every morning, for instance, it reads the messages in your contact inbox, discards the junk, drafts replies to the routine requests and routes the sensitive ones to the right person. Nobody asked it to that morning: it’s the job, so it does it.
That autonomy is what makes agents useful. It’s also what demands serious guardrails. The two always come together.
What you can delegate today
The good candidates are tasks that are frequent, well defined, and recoverable when something goes wrong. Four families come up constantly:
Watching and sorting: a shared inbox, incoming forms, alerts — the agent reads, classifies, routes.
Drafting: replies to routine requests, meeting notes, product sheets built from your own documents.
Following up: quotes with no answer, invoices past due, incomplete files — politely, regularly, without missing one.
Feeding your tools: logging an order in your CRM (your customer-tracking system), keeping a spreadsheet current.
And never delegate what commits the company. An agent can draft the reply to an unhappy customer; a human sends it. It can flag an unusual quote; you make the call.
The guardrails we won’t ship without
Handing a task to autonomous software is unsettling. That’s a healthy instinct, and the answer to it is precision, not promises. Four guardrails, every time:
Access limited to the strict minimum. The agent only opens the tools its task needs, with minimal rights. It does not wander through your systems.
A complete log. Every action is recorded: what it read, what it wrote, what it decided. You can audit everything, any time.
Human sign-off on anything binding. Sending to a customer, amounts, commitments: the agent prepares, a human approves.
An immediate stop. You switch the agent off in one action, with nothing left hanging.
An agent missing any of these four does not go live.
When an AI employee is the wrong answer
Three situations where we’ll tell you no:
The task is rare, or its rules keep shifting. Building an agent for something that happens a few times a year, or that changes every week, isn’t worth the effort. A person will do it better.
The task lives on fine judgement or relationships. Negotiation, delicate human situations, strategic calls: AI can prepare the ground, not play the part.
The real problem is elsewhere. If a process is muddled, automating it freezes the muddle. Then the work starts with clarifying — and sometimes the right answer ends up containing no AI at all. We’ll tell you exactly that.
How we start, without scaring anyone
Always with a single task, chosen together: frequent, tedious, harmless if it fails.
The agent starts in draft mode. It prepares every action; someone on your team approves before anything happens. You see exactly what it would do — before it does it.
As trust builds — yours, not ours — its autonomy widens, one notch at a time, on the actions you choose. And if the trial shows the task isn’t a good fit, we stop there, cleanly. At minimum, you’ll have clarified a process.
Frequently asked questions
- What will my teams make of it?
- Ask them before you start, not after. An agent takes over a task, not a job — usually the one nobody wants: watching an inbox, chasing, re-typing. Show them the log, leave the approvals with them. The worry fades once everyone sees what the agent does, and what it will never do.
- Who looks after it once it’s live?
- Your team, in most cases. We train them to read the agent’s log, adjust its instructions and know when to stop it. No IT background needed. If you’d rather we kept a hand on it over time, that’s exactly what Cap Continu, our ongoing support, is for.
- What if the agent gets it wrong?
- It will — like any new hire in their first weeks. The difference: its mistakes stay on tasks where a mistake can be undone, they’re visible in the log, and anything that commits the company waits for human approval. A mistake becomes an adjustment, not an incident.
- What happens to my data?
- The agent only opens what its task needs: that inbox, that folder, that spreadsheet. The rest stays closed to it, and every look is recorded in its log. You choose where all of this runs, including in Europe or on your own servers. Your information is not used to train public models: that’s in the contract.
- Do you work outside Paris?
- Yes, across France. An agent is designed and monitored remotely; scoping sessions happen on site or by video, whichever you prefer.
Read next
- Getting an AI to answer from your internal documents: what it delivers, what it demandsLetting an AI answer questions from your company’s internal documents: how RAG works in plain terms, what makes it succeed, the pitfalls — and when it is not worth doing.
- EU AI Act: what a company that only uses AI must doWhat the EU AI Act requires of a company that uses AI without building it: AI literacy, transparency duties, prohibited uses, and the real 2026 timeline.
- AI built around your problem — not the other way roundBring AI into your company without gimmicks or needless risk: a tool built around your problem, your data protected. Paris, and across France.
Tell us about the task that’s weighing you down
One conversation, no strings attached. You describe the task as it happens today; we tell you straight whether an AI employee is a good idea. If it isn’t, you leave with a clear answer — and that’s worth having.
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