- AI governancenoun
- Knowing every AI system you run, who owns it, what it can touch, and which tests back the decision to run it.
- Owner
- Claims operations
- Purpose
- Drafts replies to routine claims
- Reads
- Policy records and claim files
- Can do
- Draft only. People send every reply.
- Last tested
- Hidden instructions, data leaks
- 2 MayRegisteredOwner and purpose recorded
- 14 JunTestedOne data leak found and fixed
- 20 JunApprovedWith one exception
- 3 SepModel changedBack for reviewReview due
Example register
One list everyone can read.
Filter it the way a reviewer would. Each row has an owner, what the system can do and when it was last tested.
Four questions your board will ask.
What AI are we running?
Including the AI features inside tools you already pay for.
Who owns each one?
A real team that answers for it.
What can it touch?
The data it reads and the actions it can take.
Why is it safe to run?
Test results attached to the decision, not a slide.
From policy to proof.
We help you turn written rules into checks that run at every release, with evidence a reviewer can follow.
Write rules people can follow. Short rules your teams can apply, like “customer data only goes to approved AI tools”.
Turn each rule into a release step. Before a system goes live, its owner, data and tests are checked against the rules.
Test before you approve. We test the risky parts: hidden instructions, data leaks and actions that need a person.
Keep a record a reviewer can read. Each decision links to its tests and its owner, so nobody chases screenshots.
AI use policy · Section 3
Data and AI tools
- 3.1Every AI system has an owner who answers for it.
- 3.2Customer data may only go to approved AI tools.
- 3.3AI may draft payments. A person approves them.
- 3.4A new model or data source means a new review.
Questions we hear.
Do you certify us?
No. We don't certify. We give you records and test results an auditor or regulator can use.
Can this support the EU AI Act or ISO/IEC 42001?
We can line up your register and evidence with the frameworks you report against. Your legal team decides what each one requires of you.
Does AI inside vendor tools count?
Yes. We help you find it, give it an owner and decide what data it may see.
How do we keep the register current?
Set triggers. A new model, tool or data source brings a system back for review.
Where do we start?
With one live AI system. We connect it to its owner, checks and release decision, then use it as the template for the rest.
AI governance & assurance
Make your AI governance usable.
Start with one live system. We'll connect it to its owner, its checks and its release decision.