Understand
Start with your business, environment, and the decisions you need to make.
11 / AI risk & governance
Move AI forward with clear boundaries.
Set ownership, risk decisions, and assurance requirements for the AI your business builds, buys, and uses.
Discuss your requirementsSpecialist delivery and availability are confirmed during scoping.
AI assurance
A clear scope.
A useful outcome.
Inventory the AI use cases in your business, identify accountable owners, and connect risk decisions to development and procurement. Define an assurance process that considers data, model limitations, suppliers, and human oversight. Technical application and model testing are distinct workstreams with their own scope.
What we cover
- AI inventory, use-case classification, and accountable owners
- Risk assessment and acceptable-use policies
- Supplier due diligence and assurance requirements
- Human oversight, release decisions, and evaluation governance
What you take away
- AI use-case and risk register
- Governance roles and decision records
- Policy and supplier-assurance requirements
- Assurance roadmap and periodic review plan
How to engage
A governance workshop or readiness programme, with technical testing scoped separately.
What progress looks like
Use cases with named owners, documented risk decisions, and scheduled assurance reviews.
The final scope, deliverables, and timing are agreed for your engagement.
Assess
Agree the scope and examine the controls, configurations, and exposures that matter.
Prioritize
Translate findings into clear actions, accountable owners, and realistic next steps.
Improve
Support remediation, review the evidence, and keep the programme moving forward.
START A CONVERSATION
Get in touch Let’s talk about ai risk & governance.
Tell us what you need to protect. We’ll help turn the question into a clear scope of work.