AI risk & governance
Set ownership, risk decisions, and assurance requirements for the AI your business builds, buys, and uses.
Move AI forward with clear boundaries.
Specialist delivery and availability are confirmed during scoping.
THE RIGHT STARTING POINT
For teams introducing copilots, customer-facing AI, retrieval systems, or agents with access to business tools.
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.
The final scope, deliverables, and timing are agreed for your engagement.
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.
Before the engagement.
Agree the systems and business processes in scope, the authorisation required, the people involved and how the findings will be used. Timelines, deliverables, exclusions and any verification work should be confirmed directly.
Prepare an enquiry about this service ↗Source-linked service brief, migrated for this local redesign. Public descriptions are not a statement of work; service capacity and wording require owner review.
View the current Secureline service page ↗A connected perspective.
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