I spent 20 years running technology at IBM and Kyndryl leading 200+ engineers, governance boards, phased rollouts, the whole apparatus. That same enterprise playbook is quietly strangling AI projects right now. Not because the discipline is wrong, but because it’s aimed at the wrong problem, at the wrong speed. Here’s why enterprise process front-loads approval and back-loads the infrastructure truth that actually decides whether your AI project lives or dies and what to do instead.

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