This article outlines ten key disciplines for establishing a robust AI governance framework that focuses on economic value rather than mere compliance. It argues that many organizations fail to achieve profitable AI adoption because they treat governance as a bureaucratic hurdle rather than an integrated operating system. The proposed AI Value Architecture emphasizes four layers: ownership, assurance, defense, and economics, ensuring that AI investments deliver tangible returns and mitigate risks effectively. AI
IMPACT Establishes a framework for measuring AI ROI and mitigating financial risks, crucial for enterprise AI adoption.
RANK_REASON Article provides an opinionated field guide on AI governance, not a factual announcement.
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