Human review operations
AI incident queue
Triage seeded AI outputs, assign decisions, and capture audit notes before risky responses reach customers.
No AI calls
Local seeded review data only
Persistent state
Reviewer changes stay after refresh
Audit notes
Human rationale captured inline
Incident command queue
Turn risky AI outputs into an ordered response lane.
Keep severity, ownership, and escalation context close together so operators can triage confidently under pressure.
- Queue velocity
- Owner routing
- Escalation clarity
Open high-risk
3
Critical or high severity still active
SLA breaches
2
2h 11m average open age
Resolved today
1
Closed by human reviewers
Escalated
1
Waiting on owner decision
Human review queue
Showing 6 of 6 seeded incidents.
Filters
| Incident | Severity | Risk | SLA | Owner | Age | Status |
|---|---|---|---|---|---|---|
| Critical | 96 risk score | Breached 2h 47m overdue | Maya Chen Checkout support bot | 4h 47m | ||
| High | 91 risk score | Breached 1h 21m overdue | Omar Patel Benefits assistant | 2h 51m | ||
| High | 84 risk score | Due soon 24m left | Nadia Flores Enterprise sales workspace | 1h 36m | ||
| Medium | 68 risk score | On track 2h 57m left | Eli Morgan Analytics chat | 1h 3m | ||
| Medium | 57 risk score | Closed Resolved | Jon Bell Priority account desk | 6h 52m | ||
| Low | 34 risk score | On track 7h 22m left | Priya Shah Admin onboarding | 38m |