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Most enterprise AI governance initiatives fail because leadership treats them as a compliance documentation exercise rather than a decision-rights architecture. Static guidelines break down quickly under operational pressure if teams lack explicit clarity on who approves a deployment, who manages risk thresholds, and who pulls a failing model. A closer look at shifting from inert paperwork to functional authority structures is available here: bit.ly/ai-govern…

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