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Data · Data Governance

Governing AI means first governing your data.

Governing AI starts with governing
your data.

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.

KPC key performance indicator

15+ years

data and governance projects in production

KPC key performance indicator

6 offers

from assessment to upskilling, and they combine

KPC key performance indicator

2 to 3 weeks

to put hard numbers on your maturity with the flash assessment

KPC key performance indicator

DataGalaxy Platinum

certification level 2025-26

KPC key performance indicator

15+ years

data and governance projects in production

KPC key performance indicator

6 offers

from assessment to upskilling, and they combine

KPC key performance indicator

2 to 3 weeks

to put hard numbers on your maturity with the flash assessment

KPC key performance indicator

DataGalaxy Platinum

certification level 2025-26

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

Divider visual between Approach cards
Divider visual between Approach cards
Divider visual between Approach cards

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

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Divider visual between Approach cards
Divider visual between Approach cards

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

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Divider visual between Approach cards
Divider visual between Approach cards

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

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Divider visual between Approach cards
Divider visual between Approach cards

"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

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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.

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.

Deliverables (2 to 3 weeks):

We do not just design. On every data offering we also handle the run: continuous supervision, quality held steady, costs optimized over time. You do not have to choose between building it right and running it for years.

Deliverables (2 to 3 weeks):

  • Maturity radar across 7 axes

  • Initial AI systems registry

  • Sequenced roadmap of the next projects with quick wins and an indicative budget

  • Executive summary for the COMEX.

Illustration of the KPC unified approach section
Illustration of the KPC unified approach section
Illustration of the KPC unified approach section
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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.

▸ 100% of our consultants augmented: each represents the entire firm, without hand-offs.

▸ Tooled and traceable methods, the same rigour from one mission to another.

▸ AI Act compliance addressed with our Data and AI Governance offer.

  • 100% of our consultants augmented: each accesses all of KPC's expertise

  • Tooled and traceable methods, the same rigor from one mission to another.

  • AI Act compliance addressed with our Data and AI Governance offer.

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.

Divider visual between the finance and supply use cases
Divider visual between the finance and supply use cases

Insurance

APICIL

Data catalog, our most recent reference on insurance. S2 (QRT) use cases deployed, extended to other data.

Divider visual between the customer relations and production use cases
Divider visual between the customer relations and production use cases

Social housing

DomoFrance

Data governance and quality within a business information system, the foundation of reliable data for future uses.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

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Divider visual for the AI requirements section

Health

LFB

Data governance in a highly regulated biopharmaceuticals environment.

Illustration of the KPC approach to putting AI at the heart of business challenges

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.

  • OneStream logo
    OneStream logo
  • Salesforce logo
    Salesforce logo
  • Snowflake logo
    Snowflake logo
  • Imagino logo
    Imagino logo
  • Pigment logo
    Pigment logo
  • Imagino logo
    Imagino logo
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FAQ

What people ask us before we start.

Placeholder intro text.

Is it necessary to already have data governance in place?

No. The flash diagnostic starts from where you are and objectively assesses your maturity in 2 to 3 weeks. It is actually the perfect starting point for those who are just getting started.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

Are we affected by the AI Act if our AI is hosted in a third-party SaaS?

Yes. An AI system embedded in a market tool remains your responsibility as a deployer, including for HR or scoring use cases.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

How long before concrete results?

The delivery of the flash diagnostic arrives in 3 weeks. The subsequent steps are contracted phase by phase.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

Are you forcing an editor?

No. We are agnostic. Our certifications are a reassurance, not a commercial steer towards a solution.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

Who is leading this project internally for us?

We equip a governance officer and an expanded arbitration committee (AI owner, model steward). Our experts remain on site until everything runs smoothly without them.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

Which frameworks do you rely on?

DAMA-DMBOK and DCAM, broken down into concrete missions, cross-referenced with GDPR, DORA, Solvency II, and BCBS 239 according to your sector.

Make forecasting reliable and free up cash. The first challenge our clients bring us.

Illustration of performance and growth

Got a project?

Ask us the question that is on your mind.

A short conversation with a senior consultant to frame what you are facing, whether that is a data strategy to build, a project to secure or an executive committee to bring on board.

Illustration of performance and growth

Got a project?

Ask us the question that is on your mind.

A short conversation with a senior consultant to frame what you are facing, whether that is a data strategy to build, a project to secure or an executive committee to bring on board.

Illustration of performance and growth

Got a project?

Ask us the question that is on your mind.

A short conversation with a senior consultant to frame what you are facing, whether that is a data strategy to build, a project to secure or an executive committee to bring on board.