Speaker: Adam L Marsh, President, Ledge Inc.
Tell us a little about yourself and your company
Adam L Marsh: Hi, I'm Adam Marsh, the president of Lege Inc. based in Spring Grove, Pennsylvania. I'm thrilled to share who we are, what we do, and how we're bringing the power of AI to the world of quality management. Founded in 2012, we're a lean expert team of quality professionals with over 100 years of combined experience. Since our start, we've delivered tailored quality management systems and operational excellence to hundreds of manufacturers and regulated businesses, transforming the way they work. At Ledge, we don't build physical products, we create systems-based solutions for quality and compliance with things like quality system implementation, for ISO 9001, AS 9100, and more. Internal audit support to make sure you're ready for customer or certification body audits, and on-site quality manager services, flexible, expert support without the full-time cost.
Describe an initiative or innovation your company has implemented to automate
processes or to utilize technology. How did you chose it?
Adam L Marsh: Internally for our team here at Ledge, we recently launched our Ledge knowledge database. It's a secure AI powered assistant built on Office 365 and a large language model, and it lets our team ask conversationally like what is our vacation policy or where is the latest internal audit form and get instant context for answers from SharePoint, Teams or OneDrive. Rather than manually searching folders. Look, after 13 years of growth, our data has grown, and no matter how organized you make it, it can be hard to navigate. So this conversational tool saves significant time. It dramatically accelerates onboarding for new team members and ensures everybody stays up to date, all without adding complexity or compromising security.
What were your key goals or desired outcomes and did you achieve them? Was the juice worth the squeeze?
Adam L Marsh: Our key goals with the Ledge knowledge base were to reduce information retrieval time, enhance team efficiency, and streamline knowledge access, epecially after 13 years of accumulated content. We aim for a solution that allows conversational querying of internal documents without adding complexity or compromising security. We absolutely achieved those goals. The initiative was certainly worth it, and our team is now utilizing AI more than ever, and that initial step to get them thinking, dreaming, and developing the next tools is key.
What Factory of the Future step are you on?
Adam L Marsh: My team here at Ledge Inc. is in the heart of step 5, where we get technical in that factory, the future pathway. Having already embraced AI powered tools internally like quoting assistance and contract review. now we're helping our customers follow in our footsteps. Most of our clients are still navigating steps 1 through 3. They get inspired, get strategy, and get ready. They're intrigued by AI, but many say they don't know where to start. Robotics feel out of reach, too expensive, maybe too risky. Their past ERP implementations either failed or underwhelmed, and let's be honest, they rarely deliver. This leaves their data in Excel, paper, or maybe in limbo. That's our opening. We encourage them to take one pragmatic step forward, identify safe, low barrier AI tools and pick ones one area to address. AI isn't just accessible, it's already in their hands. Team members are trying chat GPT for scheduling, drafting emails, or analyzing PDFs, even if it's quietly. We help them to embrace it, to try it, and to dream it.
At the high level, what's involved in your process? What key technology or systems are involved?
Adam L Marsh: Our team at ledge works to build on your existing tools like Office 365 or simple databases to help companies to move from Excel or paper into the digital age without overcomplicating their processes. We begin by simplifying data collection using tools you already own like Microsoft List or 80/20 Quality app. It's a lightweight mobile and web solution for non-conformance tracking, corrective actions, calibration logs, and more. These tools are easy to configure. They update in real time, and they're designed to raise data quality and participation, not drown you in it. We know that overly complex systems lead to fewer entries and lower data quality, so we keep things lean and meaningful. Once clean, structured data is flowing, we layer on AI to bring real value. We developed AI tools that work in scheduling and planning. AI excels at logic heavy task. By feeding it quality data, we build tools that create daily schedules, adjust for delays or staffing constraints, flag bottlenecks, and even analyze overtime costs, instantly optimizing your workflows.
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