Establish visibility
Identify relevant AI uses, their purpose, data, users, systems and accountable owners.
Make AI use accountable.
Translate AI intentions into clear ownership, practical controls, reviewable evidence and decisions people can explain.
Governance & assuranceWHEN THIS IS USEFUL
The situation
AI use is growing faster than the organization’s visibility, policies, evaluation or operating controls.
The intended change
A usable governance approach tied to the actual AI use cases and their consequences.
What the service covers.
Design practical controls
Define decision rights, permitted use, review points, data handling and escalation proportionate to the use case.
Evaluate and maintain
Connect assurance evidence, incidents and changes to review and improvement decisions.
What an agreed engagement can produce.
| Deliverable | What it makes clear |
|---|---|
| AI use-case and ownership register | Purpose, scope, data, dependencies and accountable human roles. |
| Policy-to-workflow control map | Required controls, operating procedures, review points and evidence owners. |
| Evaluation and assurance plan | Quality, security, robustness and other relevant criteria for the scoped use. |
| Operating review and evidence pack | Acceptance decisions, residual limitations, monitoring and change or incident handling. |
Select and tailor the deliverables to the agreed scope, access, responsibilities and acceptance criteria.
What acceptance should establish
- Controls have identifiable owners and fit the actual workflow.
- Evidence supports the decisions the organization needs to make.
- Material limitations, incidents and changes have a defined escalation and review path.
Make the work concrete.
A situation to examine
A staff knowledge assistant needs current source ownership, access boundaries, an evaluation set and a way to report unsupported answers. Governance connects those controls to the people who maintain and operate the service.
What to measure
Track coverage of in-scope uses, unresolved control gaps, evaluation findings, escalation handling and remediation. Interpret each measure in the context of the use case.
Methods that support the work.
The service scope determines which methods, artifacts and review points are needed.
Questions about this service.
Is this a legal compliance certification?
The service develops governance and assurance artifacts for an agreed scope. Legal interpretation, external accreditation and any certification are separate matters.
Can we improve governance for AI already in use?
Yes. Begin with the current use, evidence and operating constraints, then prioritize practical control gaps and acceptance decisions.
Define the next useful decision.
Agree which AI uses and decisions are in scope, who owns them and which control gaps require action first.