DECISION ENGINEERING FOR AI-ENABLED ORGANISATIONS
THE CAPABILITY CHANGED. DID THE AUTHORITY?
I help organisations determine when AI capability change requires a new decision.

Same capability. Different conditions. Does the same authority still hold?
THE DECISION LINE
Change does not automatically reopen authority.
REVALIDATION?
A capability can continue operating after the conditions that justified its authority have materially changed.
THE CONTINUATION PROBLEM
A decision for conditions that existed at the time.
What made the old decision current again?
The same capability, in different conditions.
Deployment can establish capability. Continued reliance requires current justification.
PRIMARY ENGAGEMENT
AI Authority Continuity Review
A bounded review of one consequential AI-enabled capability to determine whether it is still entitled to do what it does under current conditions.
- 01ONE CAPABILITY
- 02ONE CONSEQUENTIAL WORKFLOW
- 03ONE AUTHORITY PATH
- 04ONE EXECUTIVE DETERMINATION
WHAT I EXAMINE
BASIS → AUTHORITY → PERMISSION → EXECUTION
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.
WHEN THE REVIEW BECOMES RELEVANT
Something important changed. The permission did not.
Not every change requires a new decision. The problem is knowing which one does.
- MODEL / PROVIDER CHANGED
- DATA CHANGED
- WORKFLOW CHANGED
- HUMAN ROLE CHANGED
- SCOPE CHANGED
- CONSEQUENCE PROFILE CHANGED
WHO IT IS FOR
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
RESEARCH BENEATH THE PRACTICE
Decision Epistemology
Decision Epistemology is an emerging research programme concerned with the epistemic integrity of decision systems over time.
How does a decision system know that the picture it is acting upon still deserves belief?
Working papers · Publications · Research notes · Methods
Explore Decision Epistemology ↗decisionepistemology.orgevidence → picture → confidence → authority → action → consequence
REOPEN?
WHY THIS WORK EXISTS
Wojciech Z. Kaleta, PhD
Decision Engineer
More than two decades in maritime aviation.
PhD research in Situational Awareness and safety-critical decision environments.
Human Factors. Human–AI decision systems.
ENGAGEMENT MODEL
Deliberately bounded.
- FIXED SCOPE
- WRITTEN ENGAGEMENT
- ONE CAPABILITY
- ONE CONSEQUENTIAL WORKFLOW
- EVIDENCE BEFORE CONCLUSION
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