governance-playbook
Enterprise AI Governance Playbook
An end-to-end operating playbook for enterprise AI — from intake and prioritisation through release, monitoring, and continuous improvement.
Why this exists
Many organisations experiment with AI without a disciplined operating model. Projects are approved without clear criteria, released without structured gates, and abandoned without retrospectives.
This playbook connects the full lifecycle into a coherent operating system — embedding Lean Six Sigma discipline into AI governance.
Playbook lifecycle
flowchart LR
A[Intake] --> B[Prioritisation]
B --> C[Delivery governance]
C --> D[Release readiness]
D --> E[Post-release monitoring]
E --> F[Improvement loops]
F --> A
What’s included
Playbook phases
| Phase | Document |
|---|---|
| Intake | playbook/intake.md |
| Prioritisation | 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 |
Companion repositories
- AI Release Governance Framework — deep-dive on release gates
- AI Release Readiness Checklist — operational checklist for the Release phase
- LLM-powered Lean Six Sigma — AI tool for the Improvement phase
Related repositories
This repository is part of a connected toolkit for responsible AI operations:
| Repository | Purpose |
|---|---|
| Enterprise AI Governance Playbook | End-to-end AI operating model from intake to improvement |
| AI Release Governance Framework | Risk-based release gates for AI systems |
| AI Release Readiness Checklist | Risk-tiered pre-release checklists with CLI tool |
| AI Accountability Design Patterns | Patterns for human oversight and escalation |
| Multi-Agent Governance Framework | Roles, authority, and escalation for agent systems |
| Multi-Agent Orchestration Patterns | Sequential, parallel, and feedback-loop patterns |
| AI Agent Evaluation Framework | System-level evaluation across 5 dimensions |
| Agent System Simulator | Runnable multi-agent simulator with governance controls |
| LLM-powered Lean Six Sigma | AI copilot for structured process improvement |
Shared in a personal capacity. Open to collaborations and feedback — connect on LinkedIn or Medium.