What this is

A structured review of how governance intent is currently enforced across AI systems in production.

We examine where decisions are made, where policy intent is implicit or lost, and where enforcement and evidence are missing.
The focus is not model quality. It is decision authority, control and accountability.

What we look at

• Where AI decisions influence real world outcomes

• Where policies, prompts or workflows attempt to shape behaviour without enforcement

• Where responsibility for decisions is unclear or distributed

• Where changes introduce risk without visibility or traceability

What you get

• A clear map of AI decision points and ownership

• Identified enforcement gaps and governance risks

• Clarity on what must be governed and what does not need control

• Concrete recommendations for next steps

This review establishes a shared understanding of decision authority before any rule design or integration work.