Overview
When humans review AI requests, they can make three types of decisions. Each decision type triggers different workflows and provides different information back to the AI system.Decision Types
Approved
Request accepted - AI operation can proceed as planned
Declined
Request rejected - AI operation should not proceed
Change Requested
Modifications needed - AI should adjust approach before proceeding
Approved Decisions
When to Approve
- Request meets all policy requirements
- Risk level is acceptable for the operation
- Proper safeguards are in place
- Business justification is clear
What Happens Next
- Request marked as approved in audit log
- AI system receives approval confirmation
- Operation can proceed immediately
- Success metrics tracked for analytics
Declined Decisions
When to Decline
- Policy violations cannot be resolved
- Risk level exceeds acceptable thresholds
- Missing required information or safeguards
- Business justification insufficient
What Happens Next
- Request permanently blocked
- AI system receives rejection notice
- Reason logged for learning and improvement
- Alternative approaches may be suggested
Change Requested Decisions
When to Request Changes
- Core concept is sound but execution needs adjustment
- Additional safeguards or information needed
- Minor policy violations that can be addressed
- Timing or approach should be modified
What Happens Next
- AI system receives specific feedback
- Original request remains open for revision
- Modified request can be resubmitted
- Iterative improvement process begins