Audit current use
Find where staff, suppliers or departments already use AI and what data may be involved.
AI service · Strategy, governance and business case
AI governance framework for practical business use
Set rules for safe AI use: data access, human approval, model boundaries, supplier choices, logging, staff guidance and review points.
Where this fits
Built for the first useful decision
Use this when staff are already experimenting with AI tools, suppliers are pitching solutions, or the business needs a controlled way to approve AI projects.
Good governance should not block useful work. It should make AI projects safer to approve by clarifying data boundaries, ownership, review points and what must never be automated blindly.
Commercial output
What you get from this work
- A practical AI use policy covering sensitive data, approved tools, prohibited use cases and escalation routes.
- A project intake checklist for assessing value, data risk, legal or regulated exposure, ownership and review needs.
- Governance requirements for pilots: logging, human approval, testing, fallback and post-launch monitoring.
- Supplier and model selection criteria written for business stakeholders, not only technical teams.
- Training notes so staff understand what they can use safely and when to ask for approval.
Define boundaries
Set clear rules for approved tools, sensitive data, human review and prohibited use cases.
Create project controls
Build a checklist for approving pilots and deciding what evidence is needed.
Train and maintain
Make the framework usable, review it as tools change, and update it after real pilots.
First pilot shape
Useful projects before big transformation claims
- Staff AI usage policy
- AI project approval template
- Risk register for current AI ideas
- Governance layer for one active pilot
Buyer questions
Questions to settle before a pilot
Is AI governance only for large companies?
No. Smaller teams need simple rules too, especially when staff are using public AI tools or customer data is involved.
Will governance slow down useful projects?
It should do the opposite. Clear approval rules make it easier to say yes to safe, useful pilots and no to risky shortcuts.
Can this cover tools staff already use?
Yes. The first step is to identify current tool use, data exposure and gaps before setting a realistic policy.
Does this replace legal advice?
No. It provides practical operational controls and decision structure. Legal, regulated or clinical questions should still be reviewed by the right professional adviser.
Next step
Want a practical plan for AI Governance Framework?
Send a short note about the workflow, data or operational bottleneck. We will help decide whether it should be automated, improved with better reporting, or left alone.