AI Decision Risk Review
What this is
A structured review of how decisions are made around AI in your production system.
We examine where AI behaviour affects users, operations, compliance or reputation and where decision logic is implicit, fragmented or unowned.
The focus is not model quality but control behaviour.
What we look at
Where AI outputs influence real world outcomes
Where prompts, policies or workflows try to change behaviour
Where responsibility for decisions is unclear
Where changes introduce risk without visibility
What you get
A clear map of decision points around AI usage
Identified risk areas and failure modes
Guidance on where control is required and where it is not
A concrete recommendation on next steps
This review creates the foundation for any further integration or rule design work.