AI for Manufacturing Leaders: From Experimentation to Controlled Advantage

AI is already inside your organization—whether you’ve approved it or not.

Engineers are experimenting. Teams are adopting tools independently. Knowledge is walking out the door with retiring experts. The real risk isn’t adoption—it’s unmanaged acceleration.

This course is designed for manufacturing leaders who want to take control.

In this 4-hour, hands-on session, you’ll learn how to move from scattered AI experimentation to a structured, governed, and scalable system using Ledge’s F.O.R.G.E.™ framework. Rather than treating AI as a tool or IT initiative, this course shows you how to deploy it as augmented intelligence—enhancing your workforce, preserving knowledge, and reducing operational friction.

This is not a technical course.
It is a practical leadership course focused on real deployment inside manufacturing environments.

You will work through real use cases, build your first applications, and leave with a clear path to implementation.

· How to identify and control shadow AI already happening in your organization

· How to establish governance and guardrails before scaling AI

· Where AI creates the most value first (documentation, reporting, audit preparation, and other non-value-added work)

· The difference between chat, agents, and workflows—and when to use each

· How to structure a knowledge base that makes AI reliable and auditable

· How to deploy AI without disrupting compliance, quality systems, or operations

This course is built around Ledge’s structured AI deployment model:

· F — Find the Shadow
Surface unmanaged AI use across your business

· O — Own the Guardrails
Define policy, data boundaries, and governance

· R — Remove the Friction
Apply AI to non-value-added operational work

· G — Gather the Judgment
Capture expert knowledge before it retires

· E — Expand the Advantage
Scale what works across your organization

This is a working session—not just a presentation.

By the end of the course, you will have:

· A draft AI policy tailored to your organization

· A clearly defined first AI use case for your business

· A 90-day implementation plan (Crawl → Walk → Run)

· A structured knowledge base framework for your quality system

· Practical prompt frameworks you can reuse immediately

· Hands-on experience with real manufacturing use cases

· A clear understanding of how to deploy AI as augmented intelligence—not automation replacing your team

This course is designed for:

· Manufacturing leaders

· Quality managers

· Operations leaders

· Plant managers

· Business owners and executives

This course is not designed for:

· AI engineers or developers

· IT departments seeking technical implementation training

· Advanced AI practitioners

· 4-hour interactive session

· Hands-on exercises using real manufacturing scenarios

· Live guidance and Q&A

· Limited to 40 participants to ensure engagement

President, Ledge Inc. | AI Integration Leader | Manufacturing and Quality Systems Expert

Adam Marsh works at the intersection of manufacturing, quality, and AI deployment.

With over a decade of experience in regulated manufacturing environments (ISO, AS9100, ITAR), Adam has worked directly with quality managers, operations leaders, and engineering teams to improve systems, processes, and compliance. He now helps organizations deploy AI in a way that strengthens—not disrupts—their operations.

Unlike traditional consultants, Adam does not just advise on AI—he builds, governs, and implements it inside real manufacturing environments.

He also works with the next generation of engineers entering the workforce with native AI fluency, giving him a unique perspective on how to bridge the gap between experience and technology.

“AI succeeds in manufacturing when compliance, operations, and workforce are aligned.”

Learn more about MAGNET

Contact:

Kristin Beynon
Director, Client Engagement
MAGNET: The Manufacturing Advocacy and Growth Network
Email: [email protected]

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