ai & automation

AI agents & automation of your processes

We don't bolt a chatbot onto your site to look good. We find the hours you lose every week on repetitive tasks, and we hand them over to custom AI tools — chatbots trained on your data, autonomous agents, end-to-end automated processes. We always start with a task whose payoff is measured in hours, not with a technology demo.

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The problem

Quotes retyped by hand, emails sorted one by one, the same client questions answered ten times a day, data re-entered from one tool to the next. Those hours don't come back — and they cost more than automation done right. The opposite trap exists too: wiring a model into everything produces vague answers nobody dares rely on. Useful automation is automation whose error rate you know.

What we deliver

Chatbots on your data (RAG)

An assistant that knows your products, pricing and procedures, and answers accurately — not a generic parrot.

Process automation

Invoices, quotes, follow-ups, data extraction: zero manual entry, from trigger to result.

Autonomous agents

They monitor, decide and act according to your rules, around the clock — even while you sleep.

LLM integration

Claude, GPT and open-source models cleanly wired into your existing tools, without the bloat.

How it works

We measure

We identify the tasks that cost you the most time and can be automated without risk.

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We prototype

A first working tool within days, tested on your real cases, before any heavy development.

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We deploy

Production rollout, integration into your tools, and a human keeping control over sensitive decisions.

FAQ

Is my data used to train public models?
Never. Depending on your constraints, we deploy models hosted in Europe, with encryption and access control. Your data stays yours.
Can AI really replace manual data entry?
For well-scoped tasks (invoices, extraction, sorting), yes — with a measured reliability rate and a human safeguard on ambiguous cases. We always start where the gain is clear.
Do we start from scratch or plug into what exists?
Both. The whole point of an agent is precisely to graft onto your current tools (CRM, inbox, spreadsheet, ERP) without replacing everything.
How much does an automation cost?
Pricing follows the scope of the task being automated, not a feature count. We scope the expected gain in hours first: if the automation doesn't pay for itself, we say so before building it.
Which models do you use?
Claude, GPT and open-source models, picked according to the task and your confidentiality constraints. The choice is never final: the integration is designed so a model can be swapped without rewriting the tool.
What happens when the AI gets it wrong?
The error rate is measured before going live, and a human safeguard stays in place for ambiguous cases. Operations are logged: when an answer is surprising, we trace what produced it instead of guessing.

Got a repetitive task in mind?

Describe it in two lines. We'll tell you whether — and how — we can automate it, no jargon.

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