Governance at Execution™
Authority is checked at the moment AI acts
Governance at Execution™ is the layer between what your policies say and what your AI systems actually do. Five controls run at the point of action, so authority stays valid, boundaries stay enforced and evidence is produced as a by-product of operating.
AVCAuthority Validity Check
AI authority is not permanent
It must remain valid at the moment an action is taken.
What this means for SMEs
Before an AI system performs a consequential action, the organisation must confirm that the authority originally granted still applies.
Authority must be revalidated when:
- Data has changed
- Policies have been updated
- Risk levels have shifted
- Objectives no longer match the action
- Vendor behaviour or model capability has changed
The outcome
AI cannot act on outdated assumptions.
Authority stays aligned with current business conditions.
EBCExecution Boundary Check
The final governance gate before an AI action is executed
This is where governance stops being paperwork and becomes a live control.
What this means for SMEs
At the point of execution, the system must confirm:
- The action is still allowed
- The conditions have not invalidated the authority
- The decision still aligns with business intent
- The risk level is still acceptable
- The action is safe, explainable and defensible
The outcome
AI actions are validated at the moment they matter most.
Not just when authority was originally granted.
CDRConditional Delegation Rules
Delegated authority must adapt to changing conditions
What this means for SMEs
Authority given to an AI system expires automatically when:
- The context changes
- The data source changes
- The risk profile changes
- The workflow changes
- The intended outcome changes
This prevents AI from acting on stale or invalid delegation.
The outcome
Delegation becomes dynamic, not static.
Reducing unintended actions.
RAMRuntime Authority Monitoring
Governance must operate during execution, not just before deployment
What this means for SMEs
AI systems must be monitored for:
- Changes in behaviour
- Changes in model output quality
- Changes in risk
- Unexpected actions
- Deviations from intended use
If conditions shift, authority is paused until reassessed.
The outcome
AI cannot drift into unsafe or unintended behaviour.
EMEExecution-Moment Evidence
Evidence must show that authority was valid at the moment of action
What this means for SMEs
Each consequential AI action must produce a simple record showing:
- What the AI did
- Why it did it
- What authority it used
- Whether authority was still valid
- What conditions existed at execution
This is lightweight but powerful — and fully defensible.
The outcome
SMEs can prove not just that AI was authorised once, but that it remained authorised when it acted.
How they fit
Together the controls keep authority defined, validated, governed and reviewable
The first three controls sit on Attributable Authority™: the Authority Validity Check, Execution Boundary Check and Conditional Delegation Rules confirm that a system may still act, on what, and under which limits. Runtime Authority Monitoring and Execution-Moment Evidence then carry that authority through operation, so a decision can be reconstructed after the fact.
Discover your AI Governance Maturity Score
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