B One Consulting
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Data & AI Governance

AI governance, framed and put into production.

Your teams already use AI. We define the framework, the compliance and the safe use cases, to capture the value without exposing your data.

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The problem

Three fronts, at once.

01

Shadow AI

Your people open tools on personal accounts. Your data ends up in services you don't control.

02

AI Act

Obligations arrive in waves. With no inventory and no framework, compliance happens under pressure.

03

Adoption

A policy doesn't change habits. Governance holds when the safe option becomes the easy option.

What we put in place.

Map ambition, constraints, current operations and the real bets to make. Quantify the gap, identify the levers, define the success metrics.

Outcome

Diagnostic, framing, prioritised levers, success metrics.

Translate the bet into a target operating model, organisation, process design and roadmap that holds under pressure. AI-augmented where it pays back.

Outcome

Target operating model, roadmap, business case, governance.

Decision gates with the right stakeholders, evidence in hand. Risks named, alternatives priced, accountability owned.

Outcome

Validated direction, signed-off plan, RACI, risk register.

Adoption design, capability building, change management and delivery oversight. Strategy lands where the operators are.

Outcome

Adopted operating model, trained teams, delivery cadence in place.

Performance monitoring, governance rhythms, course-correction. AI-driven dashboards and continuous improvement embedded in the operating model.

Outcome

Performance under SLO, governance rhythms, continuous improvement.

The Foundations

The foundations of AI in production.

The four essential pillars behind the success of your AI ambition.

Layer 01

Governance

Set the frame. Clear rules, explicit decision rights and owned accountability, carried by a sponsor on the executive committee.

Layer 02

Data

Make data trustworthy. Clearly assigned ownership and quality sustained over time, a base the executive committee can rely on.

Layer 03

Technology

Align the technology. Integrated into your information system, mastered in-house, with no dependency imposed on you.

Layer 04

People

Anchor adoption. Teams brought on board and change led from the top, that holds once the project is delivered.

Becoming AI-native means building the company to work with AI.
Security & compliance

Your data stays under your control.

Useful AI must never expose your business. We frame data handling and security at every stage of the project.

GDPR compliance

Documented legal basis, an up-to-date record of processing, and data minimisation applied by design.

Data security

Encryption, access segregation and logging. Your data stays within your perimeter.

Sovereignty

Hosting and models chosen to match your data-residency and confidentiality requirements.

Change management

Adoption is built from day one.

Supporting your teams runs through every phase of the project, from framing to run. They build capability along the way and keep the controls once the project is delivered.

Framing
Design
Deployment
Run
Team support at every stage
For the executive committee

Value, measured.

Every use case is driven by indicators defined with you. You track the effect on your costs and your return on investment, use case by use case.

01 · Steering

Business KPIs

Indicators set before launch and tracked continuously, tied to your objectives.

02 · Cost

OPEX / CAPEX

The effect on your operating and capital costs, quantified and tracked over time.

03 · Return

ROI

Return on investment established for each use case put into production.

Indicators are defined per engagement.
Let's talk

Book a call, 30 minutes with our team.

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