AI AUTHORITY CONTINUITY REVIEW
When capability changes, does the authority still hold?
A bounded review of one consequential AI-enabled capability to determine whether it is still entitled to do what it does under current conditions.
One capability · One consequential workflow · One authority path · One executive determination
- BASIS
- AUTHORITY
- PERMISSION
- EXECUTION
THE REVIEW QUESTION
Has the capability changed enough to require a new decision?
A capability can continue operating after the conditions that originally justified its use have materially changed.
The Review examines whether the current basis, authority and permission still fit the capability as it exists now.
WHAT THE REVIEW EXAMINES
BASIS
What currently supports continued reliance?
AUTHORITY
What decision or mandate still governs?
PERMISSION
What is the capability currently allowed to do?
EXECUTION
What can actually happen before reassessment changes anything?
BASIS → AUTHORITY → PERMISSION → EXECUTION
Something important changed. The permission did not.
- MODEL / PROVIDER CHANGED
- DATA CHANGED
- WORKFLOW CHANGED
- HUMAN ROLE CHANGED
- SCOPE CHANGED
- CONSEQUENCE PROFILE CHANGED
Not every change requires a new decision. The problem is knowing which one does.
THE DETERMINATION
Not another maturity score.
The Review produces a decision-relevant determination.
- CURRENT ALLOWED ACTIONS
- CURRENT BASIS FOR RELIANCE
- MATERIAL CHANGES SINCE APPROVAL
- WHETHER EARLIER AUTHORITY IS BEING RELIED UPON BEYOND THE CONDITIONS THAT SUPPORTED IT
Authority should not silently outrun evidence.
Deliberately bounded.
- FIXED SCOPE
- WRITTEN ENGAGEMENT
- ONE CAPABILITY
- ONE CONSEQUENTIAL WORKFLOW
- EVIDENCE BEFORE CONCLUSION
The Review is designed for consequential AI-enabled capability where continued reliance requires an explicit basis, not assumption.
For organisations where AI can move from output to consequence.
- AI Governance
- Enterprise Risk
- Model Risk
- Operations
- Compliance
- Safety
- Assurance
- Regulated environments
- Human–AI decision environments
OUTPUT → RECOMMENDATION → PERMISSION → ACTION → CONSEQUENCE
Has the capability changed enough to require a new decision?
If you are responsible for a consequential AI-enabled capability and need to determine whether its current authority still fits current conditions, send a written enquiry.
wojciech@decisionengineering.eu