European manufacturers are racing to deploy industrial AI—digital twins, predictive maintenance, AI-powered quality control. Most are stuck at PowerPoint. I help you ship industrial AI that actually runs on the shop floor.
Siemens unveiled nine industrial copilots and a Digital Twin Composer at CES 2026. Where are you on this curve?
MES systems designed in 2010 can't support modern industrial AI. Technical debt is blocking transformation.
Your 'predictive maintenance' runs on Excel spreadsheets while competitors deploy ML models on edge devices.
Unclear which industrial AI systems fall under EU AI Act high-risk requirements—enforcement begins August 2, 2026.
A structured approach to modernizing manufacturing operations with AI—from assessment through production deployment on the shop floor.
Industrial AI maturity assessment across your OT/IT landscape. Gap analysis vs. Industry 4.0 leaders. Identify quick wins.
Digital twin strategy and roadmap. Architecture decisions: build vs. platform. Data integration requirements mapped.
Industrial copilot development and deployment. MES/PLM/QMS AI integration. Shop floor assistants that actually help.
Predictive maintenance implementation. ROI measurement. Continuous improvement framework for industrial AI systems.
A proven approach to industrial AI transformation developed from hands-on experience at Renault-Nissan-Mitsubishi and Cisco. Designed for the reality of shop floor deployment where reliability isn't optional.
You're a manufacturing leader watching competitors deploy industrial AI while your factory runs on legacy systems. You need practical guidance from someone who's built industrial systems at scale—not consultants who've never seen a shop floor. You want to modernize without disrupting production.
Primary focus on discrete manufacturing (automotive, electronics, machinery), process manufacturing, and industrial infrastructure (energy, utilities, EV charging). The FACTORY Framework adapts to any manufacturing environment—what matters is operational maturity, not specific sector.
Rarely. Most industrial AI deployments integrate with existing MES, PLM, and CMMS systems rather than replacing them. We design integration architectures that extract value from your current investments while adding AI capabilities at the edge and in the cloud.
Many industrial AI systems—especially those affecting worker safety, critical infrastructure, or quality control—may be classified as high-risk under EU AI Act. August 2026 enforcement is approaching. I help you inventory systems, classify risks, and build compliant governance before the deadline.
Assessment takes 2-4 weeks. First digital twin or industrial copilot deployment typically takes 8-12 weeks from decision to production. Predictive maintenance implementation can run in parallel. The goal is demonstrable ROI within one quarter.
This is where most industrial AI projects fail. I've built platforms bridging OT and IT at Cisco scale. We design secure integration patterns that respect OT network constraints, use appropriate protocols (OPC UA, MQTT), and maintain the reliability manufacturing demands.
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