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Stop running so many AI pilots: Instead of testing lots of use cases across the company, pick one area and go deep

By: Challagall, Goutam Khan, Mahwesh and Beaulieu, fabric.
Material type: materialTypeLabelBookPublisher: Harvard Business Review Description: 103(6), Nov-Dec, 2025: p.90-99. In: Harvard Business ReviewSummary: In late 2023, when the management team at the consumer packaged goods company Reckitt considered adopting gen AI, potential use cases spanned the business—from drafting presentations to delivering customer support to optimizing procurement contracts. Many of the use cases guaranteed time savings and an immediate return on investment, but they applied to disparate tasks. Executives at Reckitt were pleased with the time gen AI could save, but they knew the effort wouldn’t transform the company’s strategy or create a meaningful advantage. They were hoping for something more dramatic, not just marginal efficiency improvements.-Reproduced https://hbr.org/2025/11/stop-running-so-many-ai-pilots
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Articles Articles Indian Institute of Public Administration
103(6), Nov-Dec, 2025: p.90-99 Available AR138241

In late 2023, when the management team at the consumer packaged goods company Reckitt considered adopting gen AI, potential use cases spanned the business—from drafting presentations to delivering customer support to optimizing procurement contracts. Many of the use cases guaranteed time savings and an immediate return on investment, but they applied to disparate tasks. Executives at Reckitt were pleased with the time gen AI could save, but they knew the effort wouldn’t transform the company’s strategy or create a meaningful advantage. They were hoping for something more dramatic, not just marginal efficiency improvements.-Reproduced

https://hbr.org/2025/11/stop-running-so-many-ai-pilots

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