Approach

We take charge of your AI transformation.

We build the AI and data infrastructure behind your transformation, for your teams and your agents. Four areas of expertise, together or separately.

Trois personnes travaillent ensemble devant un écran
Four areas of expertise, together or separately

Our four areas of expertise

Start with the one that matters most to you, or combine them.

  1. Strategy

    Decide which result matters, for whom and at what cost, before choosing a tool.

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  2. Data

    Take tasks, roles and data apart, then rebuild them with AI.

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  3. AI solutions

    Put into service the tools, platforms and agents that do the work.

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  4. Adoption and governance

    Train, set rules and measure so results hold and keep improving.

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Start from value

Before choosing a tool, we decide which result matters, for whom and at what cost.

We find where AI truly creates value in your organization, and in what order to act.

What you getAn assessment, priorities and a roadmap.

AI

Research and summarize sources, interviews and internal documents.

People

What is true for your organization, and what matters.

Connect your data

Tasks, roles and data are taken apart, then rebuilt with AI.

We connect the information scattered across your tools so your teams and AI agents can use it.

What you getMapped processes, connected data and clear rules.

AI

Positioning options and clickable prototypes.

People

Choose a direction and decide what to leave out.

Put AI to work

The system carries out the work. Human judgment stays at the heart of decisions.

We build and put into service the websites, platforms, automations and AI agents your customers and teams use.

What you getTools in service, used every day.

AI

Generate code and content, and automate tests.

People

Own the architecture, review the work and assess quality.

Drive adoption and set the rules

A trained team, clear rules and measured results: that is what makes the transformation last.

We write the use policy, train each role from its own tasks and track uses in Cadre IA. Results are measured, and tools are adjusted when needed.

What you getA policy, a trained team and tracking of uses.

AI

Adapt training materials for each role.

People

Guide the teams and govern the use of AI.

Our principles

  1. What is decided is what gets delivered.

    Recommendations don’t get lost between two vendors.

  2. A first version on a real case, before scaling up.

    The timeline depends on the scope and is set at the start.

  3. A person decides, always.

    AI handles execution. Decisions and relationships stay human.

Why an organization’s intelligence is collective first: our method, in five ideas →

Ready to put collective intelligence to work?

Get in touch