Start with the smallest useful next step.
Begin with a focused triage, move into a sprint where controls need to be built, and use fractional support only where ongoing governance rhythm is useful.
£950 fixed fee
AI Governance Triage
1–2 days to review current AI use, risk/control gaps and produce a practical 30-day action plan.
From £3,500
AI Governance Sprint
2–4 weeks to create the use-case register, policy baseline, risk/control map and leadership roadmap.
From £2,000/month
Fractional AI, Data & Transformation Support
Ongoing AI, data, IG and assurance support for leadership teams who need senior judgement without a permanent hire.
Typical support
- AI readiness and governance sprints
- Policies, standards, and acceptable use guidance
- AI operating models, registers, and decision routes
- DPIA and risk support for new use cases
- Assurance-ready documentation
Best for
Leaders who need AI adoption to be useful, governable, and easier to explain to boards, auditors, risk owners, and operational teams.
Common problems
Where AI governance usually starts
Informal AI use
AI tools are already being used in day-to-day work, but no one has a clear view of use cases, data inputs or risk ownership.
Policy without evidence
Policies or acceptable-use statements exist, but evidence of access, decisions, controls, review and assurance is weak.
Split accountability
Ownership is spread across IT, information governance, operations, risk and leadership, making decisions harder to evidence.
What good looks like
Practical governance that can be shown
Use-case register
A clear record of where AI is being used, the purpose, the data involved and the owner.
Control evidence
Documented controls, access boundaries, DPIA evidence, supplier checks, logs and review points.
Review cadence
A practical rhythm for decisions, exceptions, escalation and updates as AI use changes.