No AI layer on a broken process
The first question is not which model to use. It is which task costs time, where the data lives and who validates the output. If AI does not help, we say so.
AI & automation
An AI agency that actually builds.
We do not sell slide decks about artificial intelligence. We start from your recurring tasks, documents and tools, then build only what deserves to exist.
What you get
- Audit of AI and automation use cases in your activity
- Concrete prototype before any heavy commitment
- Integration with your existing tools
- Team training when adoption matters
An audit that also says no
Some AI ideas sound attractive but are fragile, expensive or legally poor. We link each use case to a task, a data source and a risk, to avoid detours that burn budget.
B2B use cases you can verify
PDF extraction, report generation, request qualification, knowledge base search and internal response automation. We choose cases where the gain is visible.
We train your team, without theatre
Once the tool is in place, we make the team autonomous: prompt best practices, verification, confidentiality. The goal is real adoption, not a demo.
Frequently asked questions
Where does an AI project start with you?
With a short audit. We list your recurring tasks and documents, find where AI actually changes something and rule out the rest. You leave with a short-list of use cases, not a slide deck.
How much does an AI audit cost?
We start with a fixed-scope, fixed-price diagnostic, with no commitment to what follows. If nothing is worth doing, we tell you before you have signed up for a big project.
Does my data go to OpenAI or elsewhere?
Not by default. We pick the model and hosting based on your sensitivity level: an API with a no-reuse commitment, a European model, or running on your own accounts. We agree on it before building.
Will AI replace my team?
No, and that is not the goal. We take low-value repetitive tasks off their plate so your people focus on the rest. AI assists, your team validates.
What if the AI gets it wrong?
We only ship a use case where an error is checkable and recoverable: human review on what matters, guardrails on the rest. If a case is too risky for that, we do not do it.
Do we need a big data budget or special tools?
Rarely. We start from your current documents and tools. Most B2B gains come from simple cases done well, not from heavy infrastructure.
We scope it in 20 minutes.
One call is enough to know whether the topic deserves a real project.
Scope an AI project