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Governance mode gives you a unified way to define, track, and enforce governance frameworks across every AI initiative in your organization. As AI adoption accelerates, ensuring that each model, agent, and experiment follows responsible AI practices becomes difficult, whether you are implementing internal standards or external requirements like the EU AI Act, NIST AI RMF, or ISO 42001.

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How it works

Governance mode is built around a three-step process:
1

Define your governance framework

A framework is the container for your organization’s governance requirements. You can create one from scratch (e.g., “Internal Responsible AI Policy”) or start from an existing template (e.g., “EU AI Act Readiness”).Each framework contains rules, which are the specific requirements projects must satisfy. Openlayer provides a library of configurable rules covering ownership, documentation, risk classification, required evaluations, observability, security, and uploaded artifacts like model cards or written policies. You can customize these or create your own.Framework rules
2

Apply the framework to projects

Once a framework is ready, assign it to the projects that should follow it. Each project instantly receives a checklist of rules to complete.Teams can see what’s done, what’s missing, who is responsible, and the overall compliance status, ensuring consistent governance across your entire AI portfolio.Project governance
3

Track progress and stay compliant

As teams complete their tasks, Openlayer updates compliance status in real-time.You can view progress across all projects, identify bottlenecks or high-risk areas, and export governance summaries for audits or leadership reviews.

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Next steps

Now that you understand how governance mode works, head to Define a framework to learn how to create your first framework and explore the different rule types available.