AI Operational Governance Framework (AI-OGF)
The AI Operational Governance Framework (AI‑OGF) is a standards‑aligned, implementation‑ready governance model designed to ensure safe, controlled, and auditable AI operations across modern enterprises.
AI‑OGF provides:
- A structured governance architecture for AI systems
- Operational guardrails to prevent unintended AI actions
- Controls for drift, recursion, cross‑AI interaction, and workflow depth
- A kill‑switch and rollback model for high‑risk AI operations
- A supplement system for domain‑specific implementation guidance
- A maturity model for organizational adoption
This framework is designed for:
- CIOs, CTOs, and executive technology leaders
- AI governance and risk teams
- Security and compliance organizations
- Engineering and platform teams deploying AI systems
- Researchers and practitioners advancing safe AI operations
Quick Links
Framework Structure
AI‑OGF is organized into the following components:
Core Framework
Foundational documents including the Front Matter.
➡️ View Core Framework
Supplements (4.x–12.x)
Implementation‑ready guidance for each control family.
➡️ View Supplements
Annexes
Extended reference material.
➡️ View Annexes
Templates
Standardized formats for assessments and documentation.
➡️ View Templates
Start Here
If you are new to AI‑OGF, begin with the onboarding guide:
➡️ Start Here
Licensing and Use
AI‑OGF is publicly accessible for reading, reference, and internal organizational use.
Redistribution, commercial use, derivative works, or training AI models on this content require written permission.
You can review the full terms here:
Contributing
Contributions are welcome through pull requests.
All contributors must follow the originality and attribution requirements defined in permission.md.
Version
AI‑OGF Draft Version 0.9
Last updated: March 2026