AI in EHS: From Reactive to Predictive Safety
How AI is shifting EHS from lagging metrics to predictive safety: the four real use cases, what the 2026 data shows, and why prediction only works if someone acts.
EHS operations, AI-powered safety, compliance, and leadership. Written by the team building HaloEHS.
How AI is shifting EHS from lagging metrics to predictive safety: the four real use cases, what the 2026 data shows, and why prediction only works if someone acts.
Hidden costs of running EHS on spreadsheets: admin hours, audit risk, missed patterns. The 3-number framework, break-even math, and switching thresholds.
ISO 45001 requires CAPA. Most operations log them; few close them effectively. Here is how to track corrective actions to verified closure and prove the loop.
Near-misses outnumber major injuries 300 to 1 (Heinrich, 1931). The reporting program that captures them prevents the next incident. Here is how to build one.
Spreadsheet-driven EHS programs miss patterns and fail audits. With US workplace injuries costing $58.5B/yr, the upgrade case is data-driven.
How to run incident investigations that prevent recurrence. The 5 Whys finds root cause, PEEPO finds blind spots, and BLS data shows 2.8M reasons it matters.
Typing kills frontline adoption. BLS data shows 2.8M US injuries in 2022, with underreporting studies saying the true count is higher. Voice fixes it.