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Enterprise AI Governance Playbook

License: MIT Last Commit

An end-to-end operating playbook for enterprise AI, from intake and prioritization through release, monitoring, and continuous improvement.

Choose this repo when

Use this repository when you need the organizational operating model for AI:

  • intake and prioritization
  • lifecycle governance
  • monitoring and improvement loops
  • templates for recurring governance work

If you need a specific release-stage framework, use release-governance.

If you need a working validator, use release-checklist.

If you need a starter template repo, use regulated-ai.

Playbook lifecycle

flowchart LR
    A[Intake] --> B[Prioritization]
    B --> C[Delivery governance]
    C --> D[Release readiness]
    D --> E[Post-release monitoring]
    E --> F[Improvement loops]
    F --> A
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What is included

Playbook phases

Phase Document
Intake playbook/intake.md
Prioritization playbook/prioritization.md
Release playbook/release.md
Monitoring playbook/monitoring.md
Improvement playbook/improvement.md

Lean Six Sigma integration

Topic Document
AI operating model lean-six-sigma/ai-operating-model.md
Metrics and CTQs lean-six-sigma/metrics-and-ctqs.md

Templates

Template Use for
templates/intake-form.md Capturing AI project requests
templates/prioritization-matrix.csv Scoring and ranking initiatives
templates/improvement-review.md Post-release retrospectives

Related repositories

Repository What it adds
release-governance Release-stage governance framework
release-checklist CLI validation for release-readiness configs
nist-rmf-guide NIST AI RMF implementation guide
regulated-ai Starter template repo
lean-ai-ops Process-improvement app and analytics

Shared in a personal capacity. Open to collaborations and feedback via LinkedIn or Medium.