Episode 20

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Published on:

3rd Aug 2026

Why AI Pilots Fail in Manufacturing (and How to Fix It) with Russell Halper

AI pilots look great in a controlled environment. Then they hit the real shop floor and quietly fall apart. In this episode, Lisa Ryan talks with Russell Halper, founder and managing director of Insight Kitchen, about why so many manufacturing AI initiatives stall after deployment and what leaders can do differently before they ever write the first prompt.

Russell's path here is unusual. He started a PhD in mathematics under a founder of chaos theory, moved into operations research (one of the earliest forms of data science), worked at UPS, then went in-house as an internal consultant for a major consumer goods manufacturer. From there, he spent eight years at a boutique Palo Alto consulting firm, helped grow it from 16 to 100 people, saw it acquired by a large global consultancy, and ran its West Coast Generative AI practice. Two years ago, he left to found Insight Kitchen, a boutique data science and AI consultancy focused on operational AI in manufacturing and supply chain.

Key Takeaways for Manufacturing Leaders

A pilot is not a proof point; it is a rehearsal for scale. Most organizations design pilots to prove AI works in a controlled setting. Russell argues the real work is designing the pilot to surface the change management, data, and complexity issues that will show up at full scale, before you ever roll it out plant-wide.

A 95 percent solution can be a catastrophic failure. In operational environments, the last few percentage points of accuracy often carry the most real-world risk. Before adopting an AI tool, define what "good enough" actually means for that specific decision, because the threshold changes by use case.

Watch for compounding error, not just error rate. If an AI model is 99 percent as good as your best people but making decisions much faster, small errors can compound quickly. Ask whether faster, slightly less accurate decisions are actually creating value or just creating a bigger mess sooner.

Usage is your earliest warning sign. If the people on the floor are not acting on the AI's recommendations, you already have your answer. A model nobody trusts is not a decision-making tool, no matter how sophisticated it is.

Your senior operators know things your data never captured. A 40-year machine operator who says "something's off with this machine" is picking up on signals that never made it into a sensor feed. When leadership overrides that instinct because "the dashboard is green," they lose the tribal knowledge as retiring workers walk out the door.

"Clean data first" can be a stall tactic. Russell has seen organizations spend endless cycles perfecting data before doing anything with it. His advice: work the actual business problem and pull the data along with you. You will often learn more about your data by using it than by polishing it in isolation.

Start with the business problem, not the technology. The mechanics of building a financial case for an AI project look almost identical to the case for any other software investment. Start with the outcome you want (efficiency, reduced reject rate, faster throughput) and work backward to whether AI is the right tool, not the other way around.

Mid-market manufacturers may have a real speed advantage right now. Fewer legacy systems, more focused operations, and lower internal liability friction mean mid-sized manufacturers can often move faster on AI adoption than large enterprises, which are weighed down by legacy tech and internal politics.

As AI gets better, ask whether your business is getting better with it. Russell's framework: track whether your organization's capability is compounding alongside the technology, or whether you are just layering new tools onto the same old process.

Discussion Questions for Your Leadership Team

  • Where are we chasing a "bright, shiny" AI tool instead of a defined business outcome?
  • What does our frontline team know that never makes it into our systems, and how are we capturing it before they retire?
  • If usage of a tool dropped to zero tomorrow, would we notice, and would it matter?

About Russell Halper

Russell Halper is the founder and managing director of Insight Kitchen, a boutique data science and AI consultancy that embeds AI directly into the processes that run supply chain, manufacturing, and revenue management operations. He holds a PhD in Applied Mathematics and brings over 20 years of experience at the intersection of applied mathematics, operations research, and AI, having advised startups, private equity-backed SaaS companies, and Fortune 500 organizations across retail, consumer goods, manufacturing, high-tech, and logistics. Before founding Insight Kitchen, Russell was a partner at End-to-End Analytics (acquired by Accenture) and later led Accenture's West Coast Generative AI practice as Managing Director.

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About the Host

Lisa Ryan, CSP, MBA, is the founder of Grategy® and Chief Appreciation Strategist. She hosts the Manufacturers Network Podcast and speaks to manufacturing, industrial, skilled trades, and healthcare audiences on employee retention, workplace culture, and the human side of AI and automation. Her newest book, Smart Plant: Aligning AI, Automation, and People, explores how manufacturers can adopt AI without losing the judgment and tribal knowledge their people bring to the floor.

Book Lisa Ryan for your next event, conference, or leadership training on AI, culture, and workforce retention:

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About the Podcast

The Manufacturers Network
Real conversations with leaders in manufacturing, automation, and workforce retention.
The Manufacturers’ Network is where manufacturing leaders, plant managers, and industry innovators come to talk straight about what’s working and what’s not, on the shop floor and beyond.

Each week, host Lisa Ryan sits down with people who live and breathe this business: operations executives, HR directors, engineers, and founders who are building stronger teams and smarter systems in the face of nonstop change.

Listeners gain real-world insights on:
• Employee retention and workforce engagement
• Automation, AI, and the future of skilled trades
• Supply chain and operations leadership
• Safety, sustainability, and company culture that lasts

If you’re tired of generic “leadership talk” and want practical conversations from people who get it, this podcast is for you.

New episodes drop every Monday and are short enough for your commute, sharp enough to shape your week.

Subscribe and be part of the conversation that’s connecting manufacturers across industries, one story at a time.

About your host

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Lisa Ryan

As a Certified Speaking Professional (CSP), an award-winning speaker and author of ten books, Lisa Ryan, CSP, works with her clients to develop employee and client engagement initiatives and strategies that keep their top talent and best clients from becoming someone else’s.
Lisa’s expertise includes: strengthening workplace culture, improving employee engagement, increasing customer retention, and initiating gratitude strategies (“Grategies”) for personal and professional benefit. Lisa’s participants enjoy her high energy, enthusiastic delivery and quick wit and they leave the session with ideas they are committed to acting on immediately to make positive workplace culture changes.
Lisa costars in two films with other experts including Jack Canfield of “Chicken Soup for the Soul.” She is the Past-President of the National Speakers Association, Ohio Chapter and holds an MBA from Cleveland State University.

Relevant Experience

• Keynote, breakout or workshop speaker at more than 100 national and international conferences
• Thirteen years of industrial marketing and sales experience, including seven years in the welding industry – and yes, she does weld
• Host of “Elevate Your Engagement Levels: What You Need to Know” on the Elite Expert Network and the C-Suite Network
• Creator of “The Seven Mistakes Managers Make to Crush Company Culture” video series
• Best-selling author of ten books, including “Manufacturing Engagement: 98 Proven Strategies to Attract and Retain Your Industry’s Top Talent”
• Award-winning speaker