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
• 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

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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

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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

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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.

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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

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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

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License

MIT License. See LICENSE.

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