Arch Systems, the AI-powered manufacturing intelligence company, announced a booth presentation at APEX 2026 that cuts through the noise surrounding artificial intelligence in electronics manufacturing. Titled AI Hype X Reality: Agentic AI in the Factory Today, the 20-minute session featured Arch Systems CEO Andrew Scheuermann alongside Fuji partners Tom Zabkiewicz and Tony Picciola.
The presentation took place on Wednesday, March 18th, at 3:00 PM PST at the Arch Systems booth #2427 in Anaheim.
As AI promises proliferate across the manufacturing industry, operations leaders are increasingly struggling to separate genuine capability from vendor speculation. Arch Systems and Fuji address this directly, drawing on real production data from automotive electronics lines to demonstrate what agentic AI is delivering today versus what remains aspirational.
See how AI agents already read operator dashboards in real time to diagnose downtime issues: a capability that has driven automated downtime-labeling coverage from roughly 30% to over 90% on Fuji lines, with select customer sites approaching 95% or higher. The presentation also outlines concrete implementation pathways, with examples customers can put into production in weeks, not years.
“Factories today are rich in data but poor in expert capacity,” said Andrew Scheuermann, CEO of Arch Systems. “Dashboards were built to support people, but those people are gone, busy, or undertrained. Agentic AI changes what’s possible: it reads the data, interprets the context, and guides teams to act. We’re not talking about a future roadmap. We’re showing it live with real customer numbers.”
The session covered:
- How AI agents are actively reading operator dashboards to diagnose production issues
- Real production data from deployed automotive electronics lines
- What’s genuinely possible today versus what remains science fiction
- Live implementation examples are achievable in weeks, not years
Didn’t catch the live session at APEX? You can watch the full presentation on-demand here.
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