ERP

After 34 years of digital transformation experience, I've seen a predictable pattern: Industrial AI projects fail when companies skip foundational work. Like Rome's layered architecture, successful AI requires three levels - integrated PLM/ERP/MES systems as bedrock, Industrial Data Fabric as infrastructure, and AI as the visible achievement on top. Companies with mature system integration succeed with AI, while those jumping straight to algorithms fail predictably. With 75% of AI projects failing due to data infrastructure issues, the lesson is clear: assess your foundation maturity first, then build AI systematically.

Top AI-infused ERP systems are delivering 106-327% ROI as leading ERP platforms like SAP, Oracle, Microsoft, and Workday transform business operations through autonomous agents. Manufacturing companies achieve 30-40% efficiency gains while supply chains see 50% cost reductions. The $4.5B market is exploding to $46.5B by 2033. Early adopters gain sustainable competitive advantages through predictive operations and intelligent automation. The shift from reactive systems to proactive AI agents represents the most significant enterprise software transformation since cloud migration.