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The Manufacturers' NetworkReal conversations with leaders in manufacturing, automation, and workforce retention. Author: Lisa Ryan
The Manufacturers Network is where manufacturing leaders, plant managers, and industry innovators come to talk straight about whats working and whats 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 youre 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 thats connecting manufacturers across industries, one story at a time. Language: en Genres: Business, Education, Management, Self-Improvement Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Beyond the Hype: Making AI Work in Manufacturing with Sebastian Chedal
Episode 7
Monday, 16 February, 2026
In this insightful and practical episode, Lisa Ryan welcomes Sebastian Chedal, founder of Fountain City and co-founder of TestFox.ai. Sebastian helps executives implement AI strategies that actually work, focusing on one critical question: How do you join the 20% of AI initiatives that succeed instead of the 80% that fail? With 60% of his work in manufacturing and industrial sectors, Sebastian brings a grounded, practical perspective where implementation matters more than hype.A Journey Through Digital TransformationSebastian's journey began in 1998 when he started Fountain City in the Netherlands. Over more than two decades, his work has evolved through network security, website and app development, creative projects, and ultimately into digital transformation with a focus on AI implementation—predominantly in manufacturing.As a self-described generalist at heart with diverse interests, Sebastian has founded five businesses total (two non-profits that didn't make it), giving him an entrepreneurial track record that includes both successes and failures. This real-world experience informs his practical, results-oriented approach to AI implementation. Fountain City has been the anchor and core of his professional life, adapting and evolving as technology has transformed over the past 26 years.The Catalytic Moment: Why AI Is Different NowSebastian draws a powerful parallel between today's AI landscape and the mid-1990s internet era, when people would ask, "What's a website? I don't need a website. Why would I need a website?" People didn't understand the benefits, how it worked, or how much effort it would take to implement.Like many technological innovations, AI has finally reached a threshold catalytic point where it becomes truly useful, effective, and mainstream. The real breakthrough with large language models (LLMs)—what most people refer to when discussing AI today—is the ability to create qualitative automations, not just deterministic ones.The Fundamental DifferenceDeterministic automation (traditional): If this number is above this number, do this thing—straightforward logic gates we've had for decades.Qualitative automation (AI-powered): Integration of nuanced, context-dependent decisions into automation processes, opening entirely new categories of automation.This capability works at multiple levels:Workflow automation: Eliminating time-consuming, mundane work like data transformation and entry that used to require hours or intern laborStrategic support: Brainstorming, strategic planning, code planning, and design patternsKnowledge work: Tasks requiring judgment, context, and understanding rather than simple calculationsThe last year in particular has brought proposals and curiosity from people wanting to understand what it actually takes to put these systems in place—but the hype also leads to overestimation of capabilities and underestimation of implementation effort.Becoming AI-Ready: The Foundation for SuccessSebastian outlines several critical dimensions of AI readiness that organizations must address:1. Management and Strategic VisionThe wrong approach: "We need to make sure 30% of our processes are run by AI by the end of the year."This mandate isn't inspiring and doesn't give teams something meaningful to rally behind, even if it's the directive from stakeholders or management.The right approach: Transform mandates into meaningful vision:
