Regulated AI Starter Kit
A GitHub template repository giving AI teams a running start on governance, compliance, and deployment readiness for regulated industries.
Click “Use this template” above to create your own copy pre-wired with:
- NIST AI RMF-aligned governance documentation
- A YAML-driven release readiness gate system
- A structured risk taxonomy (mapped to NIST RMF + EU AI Act)
- CI/CD validation pipelines
- Incident response playbook stubs
- Model card templates
Who Is This For?
Teams deploying AI in:
- Healthcare — clinical decision support, diagnostic AI, patient risk scoring
- Financial Services — credit scoring, fraud detection, algorithmic trading
- Insurance — underwriting AI, claims automation, risk assessment
- Government — benefits eligibility, document processing, public-facing AI
Repository Structure
regulated-ai-starter-kit/
├── governance/
│ ├── ai-governance-policy.md # Organizational AI governance policy template
│ ├── roles-and-responsibilities.md # RACI for AI governance roles
│ ├── model-inventory.md # Active model inventory tracker
│ └── nist-rmf-mapping.md # Your implementation of NIST AI RMF functions
│
├── risk/
│ ├── risk-register.md # AI risk register template
│ ├── risk-taxonomy.yaml # Structured risk taxonomy (NIST + EU AI Act)
│ └── risk-assessment-template.md # Per-system risk assessment template
│
├── release/
│ ├── release-checklist.yaml # Release readiness gate configuration
│ ├── release-readiness-report.md # Pre-deployment readiness report template
│ └── deployment-approval.md # Deployment approval sign-off template
│
├── incident/
│ ├── incident-response-playbook.md # AI incident response procedures
│ ├── incident-report-template.md # Post-incident report template
│ └── escalation-matrix.md # Escalation paths and contacts
│
├── model-cards/
│ └── model-card-template.md # Standard model card template
│
├── .github/
│ └── workflows/
│ ├── validate-release-config.yml # CI: validates release-checklist.yaml
│ └── governance-checks.yml # CI: checks governance doc completeness
│
└── setup.py # Setup wizard (coming soon)
Quick Start
1. Create Your Repository From This Template
Click “Use this template” → “Create a new repository” and give it a name like
acme-ai-governance or {team}-ai-deployment-kit.
2. Customize the Governance Policy
Edit governance/ai-governance-policy.md — replace [Organization Name] placeholders
with your organization’s name and adapt the policy sections to match your internal processes.
3. Configure Your Release Checklist
Edit release/release-checklist.yaml to add or remove checks relevant to your
tech stack and regulatory environment:
# release/release-checklist.yaml
metadata:
project: "Your Project Name"
version: "1.0.0"
environment: "production"
regulated_industry: "healthcare" # or: finance, insurance, government
pre_deployment_gates:
model_validation:
accuracy_threshold: 0.95
bias_evaluation: required
explainability_report: required
governance:
risk_assessment_complete: true
legal_review_complete: true
compliance_sign_off: true
infrastructure:
security_scan: passed
load_testing: passed
rollback_plan: documented
4. Run the CI Validation
Push to any branch to trigger automatic validation of your release configuration:
git add .
git commit -m "Configure release checklist for production deployment"
git push
The GitHub Actions workflow will validate your YAML configuration and report any missing required fields.
5. Complete Your Risk Assessment
Copy risk/risk-assessment-template.md and fill it out for each AI system
you are deploying. The template walks through NIST AI RMF risk categories.
NIST AI RMF Alignment
This starter kit implements the four core NIST AI RMF functions:
| Function | Implementation in This Kit |
|---|---|
| Govern | governance/ directory — policy, roles, model inventory |
| Map | risk/risk-taxonomy.yaml — categorized risk landscape |
| Measure | release/release-checklist.yaml — measurable deployment gates |
| Manage | incident/ directory — response procedures and escalation |
Related Resources
| Repository | What It Adds |
|---|---|
| enterprise-ai-governance-playbook | Full governance playbook with detailed implementation guidance |
| ai-release-readiness-checklist | Extended release checklist framework and CLI tool |
| ai-risk-taxonomy | Detailed AI risk taxonomy with NIST RMF + EU AI Act mappings |
| nist-ai-rmf-implementation-guide | Step-by-step guide for implementing NIST AI RMF |
| awesome-ai-governance | Curated list of AI governance resources |
License
MIT License — see LICENSE. Use freely in your organization.
Maintained by Sima Bagheri · Built for AI teams in regulated industries