
Data · Data Governance
You are all concerned: your task is to integrate AI into your operations.
From data to AI, we equip your governance: diagnosis, framework, compliance, acculturation.
AI Act compliance is often the trigger. We might as well set the framework right now.
Who this concerns
Everyone. Each sector on its own deadline.
Every sector is bringing AI in, but the triggers differ. AI literacy has applied to all deployers since February 2025. Beyond that, each sector has its own deadline and its own bar to clear.
Insurance & social protection
Scoring, pricing, fraud prevention, under Solvency II and DORA. Where the AI Act meets actuarial requirements.
Objective:
100% of scoring models inventoried and classified in 8 weeks
Banking & financial services
Credit decisions, rating, compliance, under BCBS 239 and DORA. Quality and traceability are already obligations; AI extends them to models.
Objective:
data-model lineage on 100% of critical models
Industry &
defense
Predictive maintenance, machine vision, critical systems. Annex I (CE-marked products): August 2028 deadline, but long engineering cycles.
Objective:
AI technical dossier ready 6 months before the CE deadline
Organizations & Human Relations
AI-assisted recruitment, assessment and talent management. Use cases explicitly classed as high risk, including on third-party SaaS.
Objective:
100% of HR tools qualified (bias + DPIA) before deployment
"Many want to govern AI without having governed their data. For me, it's the opposite: data lays the foundation — quality, lineage, catalog, sensitivity. The rest relies on it."
Matthieu Augier
Director of Data Governance Practice, KPC


Our Method
Consulting, integration, acculturation:
the KPC method, applied to governance.
Three stages you will find across all our disciplines. Each can be contracted separately.
Advice
2 to 3 weeks
Quick maturity assessment and roadmap for your next projects.
Integration
2 to 4 months
Governance framework, data readiness, compliance built in.
Acculturation
Continuous
Running the governance bodies, operating model, AI literacy, tracking the indicators.
Our data governance offerings
Six offers, from diagnostics to acculturation.
Depending on your context, you can enter through any of them.
Each offer can be deployed 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.
where to start
Not sure where to start?
The flash diagnostic paves the way.
The flash diagnostic objectively assesses your maturity in 2 to 3 weeks.
It tells you which offers to activate first, not a technical mapping of your systems.
S1.
Scoping & collection
Stakeholder interviews, inventory of AI systems and critical data sources.
S2.
Evaluation
A multi-axis grid: quality, lineage, documentation, ownership, sensitivity, compliance, adoption.
S3.
Restitution
Findings and deliverables presented to the executive committee, and a decision on the priority workstreams.

Our platform
Enable AI on your governed data.
As an extension of our conviction, KAIYAN equips AI and connects it to your data and your processes. It is a cross-cutting building block for all our areas of expertise.
Our AI agent platform equips our consultants: use case mockups on your data, maturity score, agents in finance and governance processes.
One of our experts remains in the loop, AI serving high standards, never replacing judgment.
What we have already done, concretely
Data governance,
on real cases.
Few measured AI figures exist yet: the subject is too new. What we show here is the data governance that AI will stand on.
Public sector
CNAF (National Family Allowances Fund)
Data Office & AI support formalized by the end of 2025, in continuity with a data governance process conducted in several phases.
Insurance
APICIL
Data catalog, our most recent reference on insurance. S2 (QRT) use cases deployed, extended to other data.
Social housing
DomoFrance
Health
LFB
Data governance in a highly regulated biopharmaceuticals environment.

Our vendor partners
Agnostic regarding the offer, committed to our partnerships.
Data governance does not depend on a single vendor. Our certification level reassures your teams without dictating the choice of solution.












