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PODCAST | Why Most AI Efforts Stall at Scale and What Truist Is Doing Differently
Description
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 models
This 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 pilots
Part 2 explored where AI is delivering measurable impact
Part 3 focused on evaluating AI solutions without losing control