000			01196nam a22001337a 4500
999			_c532710 _d532710
008			260226b ||||| |||| 00| 0 eng d
100			_aChallagall, Goutam Khan, Mahwesh and Beaulieu, fabric _959634
245			_aStop running so many AI pilots: Instead of testing lots of use cases across the company, pick one area and go deep
260			_aHarvard Business Review
300			_a103(6), Nov-Dec, 2025: p.90-99
520			_aIn 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
773			_aHarvard Business Review
942			_cAR