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Why AI Transformations Struggle — Lessons from the Field

Across multiple AI programs, a consistent pattern emerges. success in controlled environments, failure at scale. Pilots work. Demos impress. Models perform. And then somewhere between experimentation and production, momentum fades. Not because organizations lack ambition.Not because teams lack capability. But because building models is not the same as building systems that can sustain intelligence in

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