# AI Incident Lifecycle Command Playbook

## Phase 1: Detection to Declaration (0-15 min)
- Ingest signals (monitors, user reports, anomaly detection, external)
- Quick triage: confirm real vs false positive
- Declare incident, assign severity, stand up war room channel
- Initial SITREP broadcast

## Phase 2: Triage & Stabilization (15-60 min)
- Establish command roles
- Activate containment options (rollback, feature disable, traffic shed, human override, safety filter boost)
- Quantify current blast radius and user impact
- Open diagnostics workstreams

## Phase 3: Deep Diagnosis (parallel)
- Data, model, code, infrastructure, human process lines of inquiry
- Controlled experiments and hypothesis testing
- Identify the minimal viable fix vs full remediation

## Phase 4: Remediation & Validation
- Implement fix with proper change control
- Canary/shadow validation with success criteria
- Gradual ramp with close monitoring

## Phase 5: Recovery & Demobilization
- Confirm stability over sufficient window
- Notify stakeholders of resolution
- Schedule Post-Incident Review
- Archive evidence and hand off to engineering teams for permanent fixes

## Phase 6: Post-Incident Review & Fortification (within 10 days)
- Blameless timeline reconstruction
- Systems analysis (why did defenses fail?)
- Action item creation with owners and verification method
- Update playbooks, monitors, and model governance artifacts
- Share anonymized lessons across the organization