
Data · data governance
Who it applies to
This applies to everyone.
Every sector is integrating AI into operations, with varying triggers. AI literacy has been mandatory for all deployers since February 2025. Annex III of the AI Act specifically targets high-risk use cases. Some sectors are regulated earlier and more heavily than others. The common thread: it's better to start within a compliance framework than to redo everything later.
Insurance & social protection
Scoring, pricing, anti-fraud, under Solvency II and DORA. AI Act intersects with actuarial requirements.
Objective: 100% of scoring models inventoried and classified in 8 weeks
Banking & financial services
Credit decisions, ratings, compliance, under BCBS 239 and DORA. Quality and traceability are already obligations — AI extends them to models.
Objective: 100% data-model lineage on critical models
Industry &
defense
Predictive maintenance, industrial vision, critical systems. Annex I (CE-marked products): deadline August 2028, but engineering cycles are long.
Goal: AI technical file ready 6 months before the CE deadline
Organizations & Human Resources
Recruitment, evaluation, AI-assisted talent management. Explicitly high-risk use cases, including on third-party SaaS.
Objective: 100% of HR tools data-qualified (bias + DPIA) before deployment
Matthieu Augier


Our method
Three phases you'll find across all our expertise areas. Each can be contracted separately.
Advice
2 to 3 weeks
Integration
2 to 4 months
Governance framework, data readiness, integrated compliance.
Acculturation
Ongoing
Committee facilitation, operating model, AI literacy, KPI tracking.
Depending on your context, you can start with any of them.
Each offering deploys on its own or combined with others, at the pace of your maturity.
01.
Business audit of Data maturity
Assessment of knowledge, analysis of tools, organizations, and skills, areas for improvement, and benchmarks.
How we start together
Not sure where to start?
The flash diagnostic charts the path.
The flash diagnostic benchmarks your maturity in 2 to 3 weeks and tells you which offerings to activate first.
The deliverable is a prioritized roadmap for your next workstreams — not a technical map of your systems.
S1.
Scoping & collection
Stakeholder interviews, inventory of AI systems and critical data sources.
S2.
Evaluation
Multi-axis grid: quality, lineage, documentation, ownership, sensitivity, compliance, adoption.
S3.
Restitution
Maturity radar, prioritized risks, sequenced roadmap with quick wins and indicative budget.

Our platform
What we've actually done
Few measured AI figures exist yet — the topic is too recent. What we showcase is the data governance that AI will be built on.
National Family Allowance Fund (CNAF)
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DomoFrance
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