Tag: AI governance

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Picture a scenario that’s becoming increasingly common. The head of transformation at a Fortune 500 manufacturer pulls a trusted advisor aside after a steering committee meeting and says something that’s surfacing with growing frequency across the field: “Our governance model is fighting the work.” Her organization is eighteen months into a multi-year operating model transformation. […]


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A chief operating officer at a midmarket industrial company told me recently that her organization had deployed over forty AI-powered tools across the enterprise in the past eighteen months. Productivity dashboards, predictive maintenance models, automated customer service agents, AI-assisted procurement workflows. The technology worked. The results were promising. And yet, three separate business units had […]


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The paradox of artificial intelligence adoption in large organizations has become strikingly clear: while executives trumpet AI as essential to competitive survival, fewer than 30% of enterprise AI initiatives make it beyond the pilot phase. The culprit isn’t the technology—it’s the people. AI resistance follows predictable patterns across organizations. The good news? So do the […]



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