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Uses · data · risks · responsibilities

Simple rules.
Better AI adoption.

We turn scattered AI questions into a workable framework: permitted uses, data to protect, necessary approvals and identified responsibilities.

30-minute initial conversationResponse within 48 hoursNo obligation
01 · Visibility

Existing uses become known.

Tools, teams, data and objectives are inventoried to distinguish useful experimentation from uncontrolled risk.

02 · Clarity

Rules become understandable.

A short policy translates organisational decisions into practical situations for staff.

03 · Liability

Every new use case follows a defined path.

Risk levels direct the case to the right business, security, data or management approval.

The right scope

When should AI governance be formalised?

The need often appears after initial experiments, when tools multiply and teams ask for a framework.

  1. 01

    Staff already use AI tools independently.

  2. 02

    Management wants to encourage use without exposing sensitive data.

  3. 03

    Roles across business, IT, security and data teams are unclear.

  4. 04

    You are preparing an AI workspace, training or a first substantial project.

Delivery scope

An operational system.
Beyond a demonstration.

Every element is selected for your actual use, documented and prepared to evolve.

  1. 01Interviews and inventory of existing uses✓
  2. 02Mapping of tools, data and stakeholders✓
  3. 03Simple risk-level classification✓
  4. 04List of permitted, governed or prohibited uses✓
  5. 05Internal policy tailored to the organisation✓
  6. 06Proposal and approval process for new use cases✓
  7. 07Initial project and decision register✓
  8. 08Findings presentation and team awareness✓
Method

From business need
to a working system.

A gradual, observable and reversible transition. You approve the result at every step.

01

Listen

Gather actual uses, questions and constraints from each function.

02

Classify

Connect data, impacts and the level of control needed.

03

Decide

Formalise short rules and a chain of responsibility.

04

Share

Present the framework, gather feedback and plan updates.

Questions

Before
you get started.

01Does the package replace legal advice or a DPO?+

No. It creates an operational framework and supports work with your legal, data and security functions. Specialist advice remains necessary where the context requires it.

02Should public tools be banned?+

Not systematically. Rules should depend on uses, data, provider terms and the accepted risk level.

03Is the policy enough to secure AI use?+

No. It needs appropriate tools, training, proportionate checks and a process for raising questions.

04Can the framework evolve?+

Yes. The register, classification and policy are designed for revision as uses and external rules evolve.

Initial conversation · 30 minutes

Let's discuss your
actual constraint.

Describe the context. We will respond with practical options and a suitable next step.

Book an assessment ↗Video call · 30 minutes · No obligation