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Regulated AI Starter Kit

Use this template NIST AI RMF License: MIT Maintained

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
  • Release readiness configuration stubs
  • A structured risk taxonomy mapped to NIST AI RMF and EU AI Act concepts
  • CI/CD validation workflows
  • Incident response playbook stubs
  • Model card templates

Who this is for

Teams deploying AI in:

  • Healthcare for clinical decision support, diagnostic AI, or patient risk scoring
  • Financial Services for credit scoring, fraud detection, or model-assisted decisions
  • Insurance for underwriting AI, claims automation, or risk assessment
  • Government for benefits eligibility, document processing, or public-facing AI

Repository structure

regulated-ai/
├── governance/
│   ├── ai-governance-policy.md
│   ├── roles-and-responsibilities.md
│   ├── model-inventory.md
│   └── nist-rmf-mapping.md
├── risk/
│   ├── risk-register.md
│   ├── risk-taxonomy.yaml
│   └── risk-assessment-template.md
├── release/
│   ├── release-checklist.yaml
│   ├── release-readiness-report.md
│   └── deployment-approval.md
├── incident/
│   ├── incident-response-playbook.md
│   ├── incident-report-template.md
│   └── escalation-matrix.md
├── model-cards/
│   └── model-card-template.md
└── .github/
    └── workflows/
        ├── validate-release-config.yml
        └── governance-checks.yml

Quick start

1. Create your repository from this template

Click Use this template and create a new repository such as acme-ai-governance or {team}-ai-deployment-kit.

2. Customize the governance policy

Edit governance/ai-governance-policy.md and replace [Organization Name] placeholders with your organization name, decision rights, and internal approval path.

3. Configure your release checklist

Edit release/release-checklist.yaml to reflect your actual controls, owners, and risk tier.

metadata:
  project: "Your Project Name"
  version: "1.0.0"
  environment: "production"
  regulated_industry: "healthcare"
  risk_classification: "high"

model_validation:
  performance:
    accuracy_threshold: 0.95
    bias_evaluation_complete: true

governance:
  documentation:
    risk_assessment_complete: true
  approvals:
    technical_review: true
    legal_review: true

infrastructure:
  testing:
    unit_tests_passing: true
  rollback:
    rollback_plan_documented: true

4. Run the CI validation

Push to any branch to trigger the included GitHub Actions checks.

git add .
git commit -m "Configure regulated AI starter kit"
git push

5. Complete your risk assessment

Copy risk/risk-assessment-template.md and fill it out for each AI system you are deploying. The template is designed to make risk assumptions, evidence gaps, and ownership explicit.

NIST AI RMF alignment

This starter kit is organized around the four core NIST AI RMF functions:

Function Implementation in this kit
Govern governance/ directory for policy, roles, and model inventory
Map risk/ directory for taxonomy and per-system assessments
Measure release/ directory for pre-deployment checks and readiness artifacts
Manage incident/ directory for monitoring, escalation, and response

Related resources

Repository What it adds
governance-playbook Full governance playbook with broader operating-model guidance
release-checklist CLI validator and stricter release gate logic
release-governance Release lifecycle governance framework
nist-rmf-guide Practitioner guide for implementing NIST AI RMF
ai-prism Curated list of governance tools, frameworks, and references

License

MIT License. See LICENSE.

Maintained by Sima Bagheri · Built for AI teams working in regulated environments.