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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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hbr.org
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…
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zdnet.com
Forget productivity: Here are 5 strategic shifts that drive real AI value
Everyone talks about increasing productivity with AI tools. Here's how to deliver actual value.
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Moving from AI pilots to business-wide value requires a superhighway - how to ramp up
Accenture's latest research finds that companies must demonstrate sustained early wins from AI investments to build momentum. The key is shifting from siloed AI to systemic AI.