Typical Engagement Scenarios
The scenarios below reflect the AI governance challenges that frequently arise in regulated environments.
Although each organisation faces its own regulatory and operational pressures, a common pattern emerges: AI systems are already being used in ways that governance frameworks have not fully caught up with.
These examples show how those issues typically come to light, the questions that need to be asked, and the practical steps required to address them. They are based on recurring themes from real-world engagements rather than fixed templates or case studies.
Every organisation starts from a different place, which is why each engagement begins with a scoping process designed around its specific regulatory requirements, operating model, and risk landscape.
What Every Engagement Produces
Across each of these engagement types, clients gain access to a private Governance Hub: a live environment where AI system classifications, regulatory readiness, the risk register, the accountability matrix, and board-ready evidence are maintained throughout the engagement.