Why Most Enterprise AI Pilots Fail: Lessons on Trust and Deployment

Why Most Enterprise AI Pilots Fail: Lessons on Trust and Deployment

From The Data & AI Chief by ThoughtSpot

May 27, 2026 · 38 min · Episode 137

About this episode

Shub Agarwal discusses the challenges of transitioning AI from experimentation to production in enterprises.

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance.

People in this episode

Guest: Shub Agarwal

Topics covered

  • enterprise AI
  • AI product management
  • trust in AI
  • AI deployment
  • business OKRs
  • AI governance

Keywords

  • AI strategy
  • AI experimentation
  • mindset shifts
  • AI model trust
  • benchmark evaluation
  • enterprise production

Mentioned in this episode

Organizations: AI Trust Lab, USC, Amazon, Fortune 50

Products: Successful AI Product Creation: A Nine-Step Framework

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