Your 30-day MVG framework is a vital starting point, not the finish line. The next critical phase involves:

1. Continuous Feedback & Refinement: Actively solicit feedback from project teams and reviewers. Adapt processes, templates, and tools based on real-world use. Review and update the policy quarterly.

2. Expanding Scope: Gradually apply the framework to lower-risk AI and existing production models. Incorporate generative AI use cases specifically.

3. Deepening Maturity: Enhance tooling (e.g., more sophisticated monitoring, automated compliance checks). Develop more granular standards for specific risk categories or AI types (e.g., LLMs). Build specialized training.

4. Cultivating Culture: Integrate AI governance training into onboarding. Recognize teams demonstrating excellent governance. Foster open discussion of AI risks and failures.

5. Staying Informed: Continuously monitor the evolving regulatory landscape, standards bodies (NIST, ISO), and best practices. Adapt your framework proactively.

6. Read More: From Principles to Playbook: Build an AI-Governance Framework in 30 Days

   - Nate Patel

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