Industrial AI Failure Report
A 20-page research report on why industrial AI projects fail at twice the rate of standard IT projects, covering the six root causes and the four-phase fix, drawn from live cases in rail, aerospace, energy and manufacturing.
Most industrial AI pilots never reach production. This report breaks down the six root causes, from ill-defined problems to governance vacuums, and the four-phase fix that gets projects past the pilot stage. It draws on real cases: Ford rehiring 350 engineers after its automated quality systems missed defects, an agentic AI deleting 26,000 customer records with no rollback, and the pattern behind why these failures keep recurring across safety-critical sectors.
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