# Why 90% of Manufacturing POCs Die | Ep. 8 with Naresh Mehta

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Text version: https://stenobird.com/podcast/think-ai-podcast-7762719/why-90-of-manufacturing-pocs-die-ep-8-with-naresh-mehta.md
Podcast: [Think AI Podcast](https://stenobird.com/podcast/think-ai-podcast-7762719)
Published: 2026-05-12T13:56:34+00:00
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Duration seconds: 3765

## Resource

🎙️ Why 90% of Manufacturing POCs Die with Naresh Mehta After 20+ years building enterprise tech for global manufacturers across India, Mexico, and the US, Naresh Mehta has lived through every wave from Excel dashboards to digital twins to agentic AI to physical AI. In this conversation, he gets blunt about why most manufacturing AI projects never make it to production, names a brand new trap nobody is talking about (intelligence silos), and walks through two real deployments that prove what works when you stop chasing the model and start respecting the plumbing. We get into a real agentic AI build that automated 65% of supplier risk monitoring at an industrial conglomerate (200+ risk parameters, 8 multi-agent workflows, 20+ back office roles redeployed instead of fired), an auto OEM physical AI build that cut defect rates 25 to 30% by shifting inspection left with situationally aware robots, where quantum actually fits before manufacturing leaders even start asking, why every enterprise needs an AI control plane (and why the database-deletion horror stories happen without one), and what to tell the AI curious, the AI enthusiast, and the AI skeptic. In this episode: 00:00 Cold open 00:17 Welcome to Think AI Podcast 01:24 Meet Naresh: 20+ years across India, Mexico, US 02:00 The inflection point: when AI moved from read about to ship on 04:30 Pace of innovation vs. pace of adoption 07:03 The POC mindset that kills 90% of pilots 10:00 Data silos. Org silos. Now intelligence silos. 10:30 AI is 5%. The plumbing is 95%. 13:42 Real win #1: 65% supplier risk automation, 20+ roles redeployed 17:30 Real win #2: Auto OEM physical AI cuts defects 25 to 30% 22:28 AI meets quantum: why manufacturing should care now 30:19 The AI control plane: business outcomes + trust outcomes 34:00…

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