Edith Heroux

Implementing AI-Driven Manufacturing represents one of the most consequential technological shifts in modern industrial operations, yet success rates vary dramatically based on preparation and execution discipline. After analyzing deployment patterns across dozens of facilities—from mid-sized specialized manufacturers to operations rivaling the scale of General Electric and Rockwell Automation plants—a clear pattern emerges: successful implementations follow systematic readiness protocols while failed initiatives skip foundational steps in pursuit of rapid deployment. The difference between AI systems that transform OEE and those that become expensive shelf-ware often comes down to methodical preparation across technical, organizational, and strategic dimensions. This comprehensive checklist distills hard-won insights into a structured framework for AI-Driven Manufacturing readiness. Rather than offering generic advice, each item addresses specific challenges that emerge in real produ...

Implementing intelligent automation in manufacturing environments demands meticulous planning, cross-functional coordination, and a systematic approach that addresses both technical and organizational dimensions. After guiding numerous facilities through digital transformation initiatives, I've distilled the critical success factors into a comprehensive checklist that addresses the full spectrum of considerations—from infrastructure readiness to workforce development, from data governance to continuous improvement frameworks. This checklist serves not as a rigid prescription but as a structured framework for navigating the complex journey toward intelligent, connected manufacturing operations. Each item reflects lessons learned from real implementations, including both successes that exceeded expectations and setbacks that provided valuable insights. The checklist approach to Intelligent Automation implementation provides several advantages over less structured approaches. It ensu...