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Optimization Fallback Mode
This page explains how optimization behaves when report snapshots are unavailable.
When fallback mode is used
Fallback mode is used when overlicensing reports are unavailable for the run (for example, permission or endpoint issues).
Fallback formulas
reviewPressureSeats = min(assignedSeats, waitingMembersCount + assignmentErrorCount)weightedOverlicensedSeats = 0.25 * reviewPressureSeats
Candidate behavior in fallback mode
- Activity class is
unknown. - Candidate confidence is
low. - Reasons are pressure-focused (for example waiting queues and assignment errors).
Why this mode exists
- Keeps optimization useful even without full usage telemetry.
- Uses conservative pressure indicators to surface likely review targets.
- Avoids over-automated actions under uncertain evidence.
Action impact
- More items will resolve to
review_only. - Deterministic high-certainty rules can still produce direct actions in specific cases.