
Moog Medical used to spend seven minutes adding parts to every depot order. Across three sites — Salt Lake City, San Jose, and Vilnius — that manual yet important effort repeated constantly, reflecting the quiet cost of running an ERP built for a slower, steadier market. After Moog standardized onto an adaptive ERP platform, the same task dropped to under 30 seconds. Program Manager Jade Eldridge calls the result “mind-blowing.”
Noble Biomaterials tells a similar story from the other direction: its own leadership had stopped trusting the manufacturing data coming out of its patchwork of spreadsheets and disconnected systems. The fix wasn’t tighter oversight, it was one platform that unifies operations.
Neither company got here by chasing AI hype. Both companies solved a structural problem. Moreover, traditional ERPs tell you what already happened: they are systems of record. Midmarket medtech manufacturers are getting squeezed by inflation while adjusting to the FDA’s new QMSR where internal quality audit reports, supplier quality reports, and management records are now eligible for FDA review. They need something that acts, not just reports. The ChampionAI agentic layer for QAD Adaptive ERP further transforms QAD Adaptive ERP from a system of record into the system of action that’s needed now.
The companies pulling ahead aren’t the ones moving gingerly into implementing AI. They’re the ones who’ve already turned their ERP from a system of record into a system of action.
Want the full story? Get our latest whitepaper, “A New Era for Midmarket MedTech Manufacturing,” which includes case studies, information on how QMSR guidance is built natively into QAD Adaptive ERP, and how ChampionAI agents are organized.



