Artificial Intelligence Governance and Risk

01 / Purpose

What this service solves

AI-system governance, model-risk policy, control mapping and safe-use operating model.

Outcomes

Establish governance priorities for artificial intelligence systems.

The engagement brief establishes deliverables, responsibilities and acceptance criteria for your scope.

02 / Scope

Build around your environment.

Share AI use cases, owners, data sensitivity, model providers and governance obligations.

Capabilities in scope

Scope is tailored to the following areas:

• AI use cases
• Model providers or platforms
• Data sensitivity
• AI approval authority

Relevant technologies & environments

• Which AI systems or workflows are in use?
• What sensitive data or regulated decisions are involved?
• Who can approve AI use, exceptions and risk acceptance?

03 / Delivery

A clear path to engagement.

1. Share your context

   Describe your objectives, systems and current controls.

2. Agree the boundaries

   Review technical scope, authorization, access and delivery constraints.

3. Confirm the engagement

   Agree responsibilities, timing and expected outputs before work begins.