Course Overview

This course is designed for leaders who want to deploy AI with control—turning it into a competitive advantage rather than a compliance risk. AI succeeds in manufacturing when compliance, operations, and workforce are aligned, yet many organizations are facing a different reality: engineers are experimenting, teams are adopting tools independently, and critical knowledge is leaving with retiring experts. The real risk isn’t adoption—it’s unmanaged acceleration. AI is already inside your organization, whether you’ve approved it or not. In this course, you will work through real-world use cases, build your first applications, and leave with a clear, actionable path to implementation.

This 4-hour, hands-on course is designed for manufacturing leaders who want to move from unmanaged AI experimentation to a controlled, structured, and scalable approach using the F.O.R.G.E.™ framework. 4-hour interactive session

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.

Upon completion of this course, participants will leave with a draft AI policy, a defined use case, and a 90-day implementation plan.

All participants will get 60 Days of access to their own secure tenant portal, including applications and a sandbox environment.

What You’ll Learn

• 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)
• You will learn how to govern AI, apply it to real operational use cases, and deploy it as augmented intelligence, enhancing your team rather than replacing it.
• The difference between chat, agents, and workflows—and when to use each
• How to create and structure a knowledge base that makes AI reliable and auditable
• How to deploy AI without disrupting compliance, quality systems, or operations

Who Should Attend

This course is designed for leaders who want to apply AI in a practical, compliant, and effective way inside their business.

• Manufacturing leaders
• Operations leaders, Plant managers
• Business owners and executives
• Quality managers 

About the Presenter

Adam Marsh, 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.

Course Details

• Prerequisites: N/A
• Course Requirements: N/A
• Number of Sessions: 1
• Time: 8:00 AM – 12:00 PM
• Class Size: Maximum 40 participants
• WedNET Eligible: This course is generally reimbursable under the WedNET PA state training grant at $2,000 per employee (subject to eligibility, funding, and compliance). At your request, our on-staff grant specialists would be pleased to assist you in applying for this or other funding programs available to reduce your net investment.