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In this segment of Shane O’Donnell’s Forbes Technology Council article, Shane argues that AI programs often fail governance audits not because the controls are weak, but because they’re undocumented. He points to ISO 42001’s evidence-heavy requirements, its rising role in vendor procurement, and the steps organizations should take before an audit forces the issue.

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An AI risk assessment — also called an AI readiness assessment — measures how effectively you govern, manage, and document AI through an AI management system, typically against ISO 42001, the first international AI management system standard. For regulated firms, such an assessment is worth doing because regulators increasingly expect demonstrable AI governance, risk management,...

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In this edition of “Office Optional with Larry English,” Larry talks about how AI is evolving the product manager role, giving rise to a new title, the product builder. He explains how this shift highlights a bigger question for leaders: Is your...

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In this Forbes Technology Council article, Joseph Ours explains why enterprise AI governance needs a critical third layer, platform authorization, to help organizations manage the legal and operational risks of depl...

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Scaling AI from a single pilot to the enterprise is a structural problem, not a technology problem. The conditions that make a pilot succeed — such as clean data, tight scope, and one internal champion — are exactly what disappear when you try to expand. Organizations that scale successfully treat AI like any other enterprise system, with defined ownership and reusable infrastru...

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