Enterprise AI Governance Playbook

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

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