SupplyLogic

Contract manufacturers who've deployed initial GenAI pilots face a common inflection point. The proof-of-concept delivered promising results—perhaps a BOM reconciliation tool that cut component engineering time by 40%, or a CAPA investigation assistant that accelerated root cause closure. Now comes the harder question: how do you scale these successes across NPI management, yield improvement, supplier quality, and other manufacturing engineering functions without creating a fragmented landscape of point solutions that fail to integrate? This challenge separates organizations that extract sustained competitive advantage from GenAI from those stuck in perpetual pilot mode. For practitioners advancing beyond initial experiments, GenAI in High-Tech Manufacturing deployment success hinges on architectural decisions, data strategy, and operational discipline that may not have mattered in controlled pilots. The transition from prototype to production-grade system reveals gaps that small-...