name: "Post-Market Monitoring Review"
description: "EU AI Act Art. 72 / NIST AI RMF MANAGE — Monthly AI system monitoring review"
title: "[Post-Market Monitoring] YYYY-MM"
labels:
  - "compliance/eu-ai-act"
  - "cadence/monthly"
  - "evidence/postmarket"
assignees: []
body:
  - type: markdown
    attributes:
      value: |
        ## Monthly Post-Market Monitoring Review
        Complete this form to document the monthly review of AI system performance and safety.
        Reference: `ai/postmarket-monitoring.md` for the full monitoring plan.

        **Compliance mapping**: EU AI Act Art. 72 | ISO 42001 Improvement | NIST AI RMF MANAGE | FedRAMP CA-7

  - type: input
    id: review-period
    attributes:
      label: "Review Period"
      description: "Month being reviewed"
      placeholder: "YYYY-MM"
    validations:
      required: true

  - type: input
    id: reviewer
    attributes:
      label: "Reviewer Name"
      description: "Person conducting this monitoring review"
      placeholder: "Jane Smith"
    validations:
      required: true

  - type: textarea
    id: systems-monitored
    attributes:
      label: "AI Systems Monitored"
      description: "List all AI systems reviewed, referencing ai/system-register.yaml"
      placeholder: |
        | System ID | Name | Risk Level | Status |
        |-----------|------|------------|--------|
        | AI-001    | PCW  | High       | Active |
    validations:
      required: true

  - type: textarea
    id: performance-metrics
    attributes:
      label: "Performance Metrics"
      description: "Document key performance indicators for each AI system"
      placeholder: |
        - Accuracy / F1 score: X.XX (target: >= Y.YY)
        - Latency P95: XXms (target: <= YYms)
        - Error rate: X.X% (target: <= Y.Y%)
        - Drift detected: Yes/No
    validations:
      required: true

  - type: textarea
    id: safety-incidents
    attributes:
      label: "Safety & Bias Incidents"
      description: "Document any safety incidents, bias detections, or unexpected behaviors"
      placeholder: |
        - [ ] No safety incidents reported
        - [ ] No bias drift detected in monitoring dashboards
        - [ ] No user complaints related to AI system behavior
        - [ ] Feedback mechanisms operational
    validations:
      required: true

  - type: textarea
    id: actions
    attributes:
      label: "Actions & Model Updates"
      description: "Document any corrective actions, model retraining, or system updates"
      placeholder: |
        - Updated model weights to address detected drift (version X.Y.Z → X.Y.W)
        - Added new monitoring alert for edge case scenario
        - None required — all metrics within acceptable bounds
    validations:
      required: true

  - type: checkboxes
    id: attestation
    attributes:
      label: "Reviewer Attestation"
      description: "Confirm the following"
      options:
        - label: "All AI systems in the system register have been reviewed"
          required: true
        - label: "Performance metrics are within acceptable bounds or remediation is documented"
          required: true
        - label: "This review was completed in accordance with ai/postmarket-monitoring.md"
          required: true
        - label: "The risk register (ai/risk-register.yaml) has been updated if new risks were identified"
          required: true
