From AI strategy to AI results: How enterprises finally break through

Mar 13th 2026 | Episode 6 | 35 mins

Reimagine with AI

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.

Key topics covered:

• “Follow the money” + “delight the customer” as the first AI transformation levers
• Turning strategy into execution: outcomes, charters, metrics, and product management accountability
• Building the right “one-pizza team” for adoption and speed
• Where leaders overestimate AI (fast monetization) and underestimate AI (rate of change, agentic AI)
• How to build followership: influencers, psychological safety, and reverse mentoring for C-suite
• The CEO/board questions: where to start, where to find money, how to do it
• What every Fortune 500 CEO should stop doing now: endless PoCs and second-guessing AI