Sensor + AI HSE monitoring has a sharp ROI curve. Some incident classes pay for themselves in 9 months. Some never do.
The incident classes where sensor + AI monitoring pays for itself in 9 months — and the ones where it doesn't.
Slip-trip-fall zones (crane operator walkways, pier approaches), heavy-equipment interaction zones (RTG swing paths, reach-stacker turning circles), and environmental (spill detection around bunkering stations).
All three have three things in common: high incident frequency, clear sensor signals, and well-understood corrective actions. The AI doesn't have to be novel — it just has to not miss.
Crew fatigue, interpersonal safety, and "culture" metrics. The signals are weak, the corrective actions are organisational, and most sensor approaches either over-fire or under-fire. The ROI math doesn't close.
It's not that these aren't important — they're critical. They just don't fit the sensor-first playbook.
Start with slip-trip-fall — cheapest sensors, highest incident frequency, quickest ROI. Expand to heavy-equipment zones once your alert-response workflow is tuned. Add environmental monitoring last, because the regulatory reporting piece needs its own workflow design.
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