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Why AI Transformation Fails Without Workflow Redesign

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Why AI Transformation Fails Without Workflow Redesign

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Many enterprise AI programs underperform because investment remains concentrated on models and infrastructure instead of operational redesign. The article explains the 70/20/10 rule, where most transformation effort sits in workflow redesign, governance, role restructuring, and workforce adaptation rather than the AI technology itself. It also highlights how AI agents increase organizational complexity by moving AI from insight generation into task execution and operational participation. Technology leaders should approach AI adoption as a redesign of decision flows, accountability structures, and operating models—not only as a technology deployment.
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