We help you decide, build and keep things running.

It all starts with the AI audit, which sets your strategy. Then three engagements you can start separately or chain together, always with your teams.

Step 0

The AI audit

Before investing, a complete diagnostic: the maturity of your processes, tools and data, then your AI strategy, with prioritised opportunities and an action plan.

  • See what exists

    Your teams already use AI, often without a framework.

  • Aim right

    Projects ranked by value and feasibility.

  • Invest with confidence

    A full cost estimate before committing a budget.

How it works

  1. Beforehand

    Pre-qualification interview

    • We check with you that the audit is relevant
    • We set the topics to cover

  2. Phase 1

    Maturity assessment

    • Processes and organisation
    • Tools and information system
    • Available data
    • Teams and skills
    • Current uses of AI

  3. Phase 2

    Strategy and action plan

    • Value-creation opportunities
    • Prioritisation by value and feasibility
    • Risks and opportunities
    • Implementation and funding plan

The final report

  • Summary and recommendations
  • Interview minutes
  • Further analyses
  • Detailed action plan
  • 3 to 10 days
  • Over 2 weeks to 3 months
Request an AI audit

After the audit

Three engagements to take action.

Engagement 01

Team training

Train your teams to use AI on their own tasks, in three levels plus an advanced module.

See the engagement

Engagement 02

Building AI agents

Build with your teams the agents that carry out your tasks, based on their know-how.

See the engagement

Engagement 03

Setting up AI infrastructure

Set up with you what runs AI in your company, securely.

See the engagement

Engagement 01

We train your teams to use AI.

Your teams already use AI assistants, often without a method. Results vary and nobody really knows why an answer is good or bad. The training teaches them to use them on their own tasks, gaining autonomy at every level.

We adapt durations, group sizes and exercises to your teams, then specify them in the proposal. Exercises rely on your own tasks and on documents you have authorised.

Engagement 02

We build with your teams the AI agents that carry out your tasks.

In every department, someone knows how to do a job that nobody else can explain. We start from an opportunity selected during the audit, write their method with them as a skill, then build the agent that applies it, with its tools, rights and checks.

You get

An agent tested on your real cases, documented and transferable, with its rules, checks and action log.

Engagement 03

We set up the infrastructure that runs AI in your company.

Using AI models with company data raises questions that consumer tools do not settle: where the data goes, who has which rights, what it costs, and what happens to the service if a supplier changes its terms. We can set up with you what is needed to answer them.

You get

A documented architecture, controlled access and a monitored budget. GDPR compliance also depends on your uses, your contracts and your organisation: we prepare the elements, but the decision is yours.

After go-live, we can offer complementary technical support: monitoring, maintenance, spend tracking and trials of new models. We set its scope and commitments in the proposal.

Where to start?

With the AI audit. It sets your strategy and shows which engagement makes sense for you, if any. We then price each engagement separately, with its scope and what is included.

Request an AI audit