Most organizations are still stuck in AI pilots. A few are scaling.What’s the difference?In this episode, Truist’s Sanjay Sankolli breaks down the operating model shifts required to move from isolated AI success to enterprise-wide impact.You’ll hear:🔷Why governance should act as a guardrail, not a gate🔷How decision latency quietly slows innovation🔷What it means to move from AI tools to AI as an operating capability🔷Why data, trust, and alignment matter more than the number of AI modelsThis is the final part of a four-part series with Karan Jain, Founder and CEO of NayaOne, exploring how enterprises can operationalize AI in regulated environments.Part 1 examined why AI initiatives stall after promising pilotsPart 2 explored where AI is delivering measurable impactPart 3 focused on evaluating AI solutions without losing control

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