, the tech, data & AI practice
Experience to the power of AI
From data strategy to generative AI in production: dashboards, supervised agents, tooled processes, under human control at every step.
Where does our margin by offer stand this quarter?
Consolidated margin up 1.8 points, driven by two offers. The breakdown by offer and by month is ready, and three billing anomalies are flagged for review. Every figure is sourced; the export goes to Thursday’s committee.
Answer in seconds · internal data only
Illustrative examples. Every deployment answers your own questions, on your own data.
The tool palette
Anthropic · Claude OpenAI · GPT Mistral AI Google · Gemini Microsoft · Copilot n8n Make Zapier Lovable Bolt v0 · Vercel Cursor LangChain Hugging Face Snowflake Power BI … and those to come
In practice
What AI changes in your day-to-day
A few telling examples. Every mission starts from your real processes, not from a catalogue.
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Executive management
Query the business in natural language and get the answer in seconds, without waiting for the next report.
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Operations
Automate repetitive tasks (data entry, checks, reconciliations) so teams can focus on what matters.
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Sales & marketing
Proposals, meeting notes, follow-ups: produced in minutes, personalised, in your brand’s voice.
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Finance
Faster reporting, anomalies flagged automatically, closings that no longer mobilise the whole department.
Our offers
Five offers, from audit to adoption
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AI audit & roadmap
Function by function, we list the use cases and prioritise them by impact, complexity and risk: quick wins, then a roadmap.
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Custom development
Agents, automations, business platforms, integrated into your tools: a useful prototype within weeks, then supervised, traceable production.
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Data & governance
Reliable, documented, governed data: the foundation of everything else, and often where value begins.
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Adoption & change management
AI champions in the teams, measured adoption, leadership support: we stay until the new habits take hold.
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Training & seminars
From talks to leadership seminars, programmes built on your use cases.
Training
Training built with your teams
Before each programme, our trainers talk with your teams. Every session is built on concrete exercises, leaves ready-to-use tools and ends with an assessment.
In the field
A business application for construction, built with AI
For a construction equipment rental company, a SaaS platform bringing together orders, machine transfers, invoicing and maintenance, with built-in AI. AI also sped up its delivery.
We ran the project end to end, from strategy all the way to the tool’s adoption by the teams in the field.
How the engagement unfolded
- Strategy
- Scoping
- Design
- Rollout
- Adoption & support
Responsible AI
AI is not yet aware of the consequences of what it produces. That critical distance is what we bring.
As long as superintelligence remains a hypothesis, strategy, project management and change management will need consultants, augmented by AI.
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AI suggests, humans decide
Every decision that commits you is carried by a consultant, never by a model.
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Verified before it is signed
We only stand behind what we can justify: every figure, every recommendation, checked before signature.
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Permanent supervision
Agents and automations operate under human control, with traceability.
Frequently asked
What clients ask us
Where should we start: training or an audit?
Both work. Training brings your teams on board and surfaces the first use cases; the audit gives a full picture before investing. Often, a leadership seminar opens the way.
Do we need perfect data first?
No. Making the data reliable is part of the mission when needed. It is often the first step, and it creates value in itself.
Which tools do you use?
Those that serve your challenge: market models (ChatGPT, Claude, Mistral, Copilot…), open source or tools you already have, chosen for your cost, security and sovereignty constraints.
Let’s talk
A data or AI challenge?
Let’s talk about your use cases, and what they can produce in real conditions.