Turn AI governance principles into deployable engineering controls.
This portal packages implementation standards, deployment requirements, ethical and security controls, runtime checkpoints, and evidence templates into a single engineering artifact repository.
Lifecycle standards hierarchy
Traffic-light decision model
What teams receive
- Normative standards with control IDs and evidence expectations
- Risk-based implementation and deployment checkpoints
- Security, ethics, data, agent, RAG, prompt, and transaction controls
- YAML policy artifacts for automated validation
- Release evidence manifest, runbooks, and production checklists
Implementation and deployment controls
Search, filter, review, and download the standards that govern enterprise AI delivery.
Production readiness assessment
Evaluate mandatory and recommended controls. Results are stored locally in your browser and can be exported as a release-assessment artifact.
Not assessed
Complete the checkpoints below.
Release evidence bundle
Every production release should create traceable evidence that connects architecture, security, ethics, evaluation, operations, and approvals.
Evidence package
ai-release-evidence/
├── architecture/
│ ├── architecture-diagram
│ ├── data-flow
│ └── threat-model
├── model/
│ ├── model-card
│ └── provider-assessment
├── security/
│ ├── security-tests
│ └── vulnerability-results
├── ethics/
│ ├── impact-assessment
│ └── bias-evaluation
├── evaluation/
│ ├── quality-results
│ ├── safety-results
│ └── regression-results
├── operations/
│ ├── slo
│ ├── runbook
│ └── rollback-plan
└── approvals/
└── release-decision
Templates and samples
Deploy the standards portal
The package is static and can be hosted on GitHub Pages, any internal web server, object storage, or a documentation platform.
Recommended path
- Copy the project into a GitHub repository.
- Push to the
mainbranch. - Open Settings → Pages.
- Select GitHub Actions as the source.
- The included workflow publishes the portal.
Run before publishing
python3 -m http.server 8080 # Open http://localhost:8080
No Node.js, package manager, database, or build pipeline is required.
Preview README