Does any of this sound familiar?
If just one of these questions speaks to you, you are in the right place.
- Are your teams already using AI without you knowing which tools, or where your data goes?
- Is client or internal data leaving for personal accounts, without anyone having decided it?
- Is a process in your business costing you time every week, and you wonder whether AI can really improve it?
- Do you have a process in mind for AI, without knowing whether it deserves a deployment, a test, or nothing at all?
How we work
- We start with what's actually happening in your teams. Then we write the rules with them, because rules people build themselves are rules they follow. And we decide together, with the facts in front of us, where your data gets processed.
- Technology comes second. It's your teams that make a framework hold, and it's the framework that lets you deploy without nasty surprises.
AI pays off when it's put in the right place: a process that matters, with data you control.
Start with the free assessment: 15 minutes online, a baseline on where you stand, then 30 minutes with Franck to read your results and set your priorities. -
- Faire l'évaluation gratuite
- What comes next is yours to choose. After the debrief we only propose the work that fits your level, your size and your situation, each at a fixed price agreed before we start.
Free assessment
Where the five steps begin. 15 minutes online, and you know where you stand.
What you get :
- What you get
Your score and maturity level straight away, from “use out of control” to “use under control” - 30 minutes with Franck to read your results and set your priorities
- our report after the conversation: your scores across the four dimensions, your priority risks, a first recommendation
For many organisations this is enough to know where to start. The rest, usage audit, governance framework, targeted diagnosis, deployment and periodic review, is built around your situation.
Usage audit
Observe, measure, prioritise
What your teams really do with AI, with which data, on which accounts.
- Anonymous staff questionnaire, hosted in Switzerland
- Interviews with managers and power users
- Shadow AI analysis: what's declared against what's detected, with your IT team
- A map of exposed data, the terms of the tools in use, a risk matrix
You get: a factual picture, five priority risks, the decisions to take.
Governance framework
Understand, formalise, align
Rules written with your teams and signed off by your leadership
- A scoping session with your leadership, then workshops with your teams: data, permitted uses
- An AI usage charter, drafted from your decisions
- Roles: who owns AI, who validates, how a new tool gets in
- Training, communication and support plans, ready for the deployment
You get: a charter people actually apply, a classification of your data, a named AI lead.
Diagnostic ciblé
Target, qualify, decide
One process, one use case, one documented decision. Before you spend anything.
- Scope, business need and decision criteria, agreed up front
- How usable your data really is: sources, quality, completeness, access
- Expected value, risks and options, including doing nothing
- Solutions compared against your criteria, sovereign ones included
You get: a decision paper for your leadership and, if the answer is yes, the design brief for the build
Deployment
Build, measure, deliver
The workflow that creates value on a process that matters, in production and measured.
- Designed with the people who do the work every day: what gets automated, where a human signs off
- Built and tested on your real cases, with your data
- Go-live, user training, and support through the first weeks
- The gain measured: time, errors, lead times, before and afte
What we build: assistants on your documents, automation of a process, agents within a defined scope, a move to Swiss hosting.
You get: a workflow in production, a measured gain on your process, and a framework that holds.
Periodic review
Maintain, adjust, thrive
What was true on day one has to stay true. Tools change, regulation moves, teams turn over.
- Tools and contracts reviewed: new AI features switched on, terms changed, hosting
- The charter, the classification and the register brought up to date
- New joiners briefed, everyone else reminded
- The gains measured again, and the next process spotted
You get: a framework that stays true, gains that hold, and someone who knows your organisation when a question comes up.
Included from the governance framework onwards.