AI-use register
Record use cases, owners, tools, data sensitivity, review requirements, and status.
AI Governance
Safe AI adoption for regulated and data-sensitive Isle of Man teams.
Governance should help people use AI safely, not bury them in policy. The aim is practical control: what data can be used, who reviews outputs, what gets logged, and when work needs a private environment.
Core controls
Make the rules simple enough to use on Monday morning.
Data-boundary rules
Make public, internal, confidential, and personal-data boundaries easy for staff to follow.
Human-review gates
Keep judgement and sign-off explicit where client, regulatory, or reputational risk is present.
Evidence pack
Capture workflow maps, approval notes, limitations, test results, and adoption decisions.
Acceptable-use policy
Set practical rules for staff experimentation, approved tools, and escalation.
Risk register
Track hallucination, confidentiality, bias, supplier, operational, and auditability risks.
When governance becomes urgent.
These are the signs that informal AI use has moved beyond curiosity and needs a practical operating model.
- Staff are already using AI tools informally.
- Client or internal documents are being discussed in AI conversations.
- Compliance, legal, IT, or operations teams are unsure who owns AI risk.
- Leadership wants AI progress but needs a controlled first step.
- The organisation needs a board-ready adoption position before implementation.
Next step
Need AI rules your team can actually follow?
Start with a practical governance pack, then use it to qualify the first workflow worth testing.