AI strategy is easy. Enterprise execution is the hard part - here’s what actually works.In this episode of Reimagine with AI, Imteaz Ahamed speaks with Ajay Dhaul (ex Johnson & Johnson and Kenvue) - a global technology and AI leader with 25+ years of experience leading enterprise-scale transformations.Ajay breaks down what separates enterprise AI that looks good on slides from AI that moves P&L outcomes in the real world. The conversation stays practical: start points, operating model, adoption, talent, and the “people/process/data” vectors that determine whether AI monetizes or stalls.Why this matters for executives:Most AI programs fail for predictable reasons: fragmented data, unclear business outcomes, weak cross-functional accountability, and human friction. Ajay lays out an execution playbook that boards and leadership teams can actually use - especially as agentic AI accelerates faster than enterprise change cycles.🔍 What You’ll Learn in This Episode:1) “Follow the money” + “delight the customer” as the first AI transformation levers2) Turning strategy into execution: outcomes, charters, metrics, and product management accountability3) Building the right “one-pizza team” for adoption and speed4) Build vs buy reframed as “speed to value” and ecosystem design5) Where leaders overestimate AI (fast monetization) and underestimate AI (rate of change, agentic AI)6) The overlooked commercial levers: personalization end-to-end and faster innovation cycles7) How to build followership: influencers, psychological safety, and reverse mentoring for C-suite8) The CEO/board questions Ajay hears daily: where to start, where to find money, how to do it9) What every Fortune 500 CEO should stop doing now: endless PoCs and second-guessing AI

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