A manufacturer's AI book
Predictive maintenance to procurement, where the money actually is.
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Context
An industrial manufacturer runs twelve AI initiatives across plant (predictive maintenance, energy), quality (defect vision), and supply (demand, supply risk). The plant floor bets compound with uptime; the discovery stage ideas burn budget with no line of sight.
The decision
Predictive maintenance, supply risk monitoring, and spare parts optimization scale; the procurement copilot and the quality doc assistant are cut, early stage, thin ROI, and no near term path.
What most miss
The flashy generative pilots (doc assistants, digital twins) rarely top the risk adjusted list; boring predictive maintenance usually does. Fund the boring compounder.
Stakes
Uptime is the P&L lever; funding discovery toys over predictive maintenance leaves real margin on the floor.
Studied · AI Investment Strategy and Portfolio Governance · verified 2026-07-03
Sources: Industrial AI portfolio patterns (predictive maintenance, defect vision, demand); OEE and uptime ROI practice