Issue
Model Output Triggers Unapproved Action
AI output causes, recommends, or triggers an action that has not passed the required approval, permission, or authority check.
What This Looks Like
The AI produces an output that causes an action to happen before the required approval or permission check is complete. A generated field, recommendation, classification, confidence score, tool instruction, or routing result may trigger a workflow action that should have required human or system approval first.
Why It Matters
AI output can become operational input. If an output triggers action without approval, the model effectively gains authority it was not supposed to have. This can create unauthorized workflow changes, escalations, notifications, tool calls, or downstream decisions.
Structural Signal
The output crosses from recommendation or classification into action without passing through the required authority boundary. The issue is not only that the action may be wrong; it is that the approval structure was bypassed.
Common Triggers
- Workflow automation treats model output as executable state
- Confidence scores or labels trigger actions directly
- Approval requirements are documented but not enforced in the workflow
- The AI output is consumed by a tool without a gate
- A routing rule treats generated text as an authorization signal
- The system does not distinguish advisory output from approved action
When to Use This Issue
Use this Issue when AI output triggers or enables an action that should have required approval, permission, or declared authority first.
When Not to Use This Issue
Do not use this Issue when the AI merely suggests an action and no workflow step is triggered. Do not use it when approval exists and is properly applied. This Issue applies when model output crosses into unapproved action.
Category
Primary Pattern
Declared Patterns
Undeclared Side Effect
A structural condition where an operation modifies regions outside its declared target scope without a declared propagation or side-effect rule.
Missing Authority
A structural condition where a region, action, state, or decision path exists without a declared governing authority.
Escalation Growth
A structural condition where impact, authority, scope, or consequence increases across sequential states without a declared limiting mechanism.
Derived Primary Lenses
Absence Lens
Detects structurally required elements that are missing from the observed structure.
Authority Overlay Lens
Maps declared authority hierarchies onto observed structure to detect absence, override, or conflict.
Escalation Gradient Lens
Measures structural growth or intensification across sequential executions, states, or transitions.
Overreach Lens
Detects structure that exceeds declared scope or authority reach.
Propagation Lens
Traces how structural declarations, effects, or state changes propagate across boundaries or stages.
Variance / Entropy Lens
Measures structural variability across repeated or comparable evaluations and identifies divergence beyond expected bounds.
Derived Secondary Lenses
Conflict Lens
Detects mutually incompatible constraints, claims, states, or declarations that cannot be simultaneously satisfied.
Isolation Boundary Lens
Evaluates whether structural constraints, effects, and regions remain contained within declared boundaries.
Reconciliation Lens
Evaluates whether structural changes align with declared authority updates, version changes, or reconciliation rules.
Related AI-Adjacent Issues
Search Intents
- model output triggers unapproved action
- AI triggered action without approval
- model output caused unauthorized action
- AI recommendation started workflow without permission
- unapproved action from AI output
- AI output bypassed approval