How to Move from AI Experimentation to AI Transformation

Many companies are investing heavily in AI but failing to translate isolated productivity gains into meaningful business results. The problem is a “micro-productivity trap,” where firms optimize tasks without rethinking workflows or value creation, preventing organization-wide impact. This article outlines four steps to escape this trap—strategically narrowing use cases, reimagining cross-functional workflows, engaging frontline employees, and measuring outcomes tied to business value—illustrated through examples from companies like Lowe’s and a Fortune 1000 manufacturing firm.

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