1、Operations PracticeHow COOs maximize operational impact from gen AI and agentic AIBy defining the right operating structure,data governance model,and change management approach,COOs can help their companies make the most of their AI investments.by Curt Mueller,Darryl Piasecki,Marie El Hoyek,and Oana

2、 ChetaMarch 2025Better,faster,easier,cheaper:Thats the promise of gen AI.For at least some companies,its becoming the reality as well,as leaders find new ways for gen AIand the increasingly capable agentsit enablesto automate,augment,and accelerate work across virtually every function.Early adopters

3、 are using gen AI to help strengthen supplier negotiationsin procurement and improve quality controlin equipment maintenance(see sidebar“Gen AIs potential across operations”).One digital marketing platform is even using gen AI to manage“long tail”sales accounts that were previously too labor-intensi

4、ve to serve,for an annual revenue gain of more than$30 million.Gen AIs potential across operationsMcKinsey estimates that over the long term,gen AI could yield$4.4 trillion in productivity growth potential.1 Thats on top of“traditional”or“analytical”AI,which relies on structured data to solve discre

5、te analytic taskssuch as predictive analytics for optimizing equipment maintenance.Gen AIs deep learning AI models are already helping companies achieve performance breakthroughs across the operations value chain,especially by finding new opportunities to break internal silos.Multiagent systems can

6、achieve even more(exhibit).R&D.A European automotive supplier initially used gen AI to analyze its existing code base,then deployed targeted gen AI applications to automate new-code generation,quality assurance,and documentation.Together,the efforts across these three subfunctions yielded a time sav