The Decision Layer™ · AI Assurance
Know When an AI Supplier Is Safe to Rely On
Know whether supplier evidence is strong enough to rely on their AI without inheriting a decision you cannot defend.
The transformation
Before
The supplier owns the technology and the evidence. Your organisation still owns the consequence, but cannot independently see enough to defend reliance.
After
Management knows what the supplier has proven, what remains assumed, and which conditions must attach to continued reliance.
What changes for you
EvidenceSeparate supplier reassurance from evidence you can rely on.
ResponsibilityMake supplier and customer obligations explicit.
Data useKnow how prompts, content and client data are retained or reused.
ChangeKnow when model or capability changes trigger reassessment.
ResilienceUnderstand concentration, continuity and provider dependency.
ExitKnow whether the organisation can switch or recover before lock-in hardens.
What you receive
AI supplier assurance pack
Evidence received, missing, stale or not independently verifiable.
Responsibility boundary map
Clear separation of supplier and customer obligations.
Concentration & exit assessment
Lock-in, portability, resilience and dependency exposure.
Reliance decision brief
Whether supplier evidence is sufficient and what conditions should attach to approval.
How The Decision Layer moves the issue
ScopeDefine what the supplier provides.
EvidenceTest claims and proof.
BoundarySeparate supplier and customer duties.
ChangeTest notification rights.
ResilienceTest continuity exposure.
ExitTest portability and fallback.
DecideSet conditions for reliance.
Connected service: this module sits inside AI System & Lifecycle Assurance™. Use the parent page to compare all four assurance modules.
Best used when
The decision is material, the evidence is incomplete, or the current assurance is harder to defend than it looks.
Bring the live use case and the decision it supports. The engagement starts there.