Turn brief field notes into clear near-miss descriptions that explain what happened and what could have happened.
Identify possible injury, environmental, operational, equipment, compliance, or business impacts if the event had escalated.
Recommend potential severity based on credible worst-case outcome, while keeping final classification with authorized users.
Find similar near misses by location, equipment, activity, hazard, department, contractor, or potential consequence.
Suggest practical actions such as inspection, toolbox talk, supervision, barrier improvement, training, JSA review, or CAPA.
Generate summaries of repeated near misses, high-potential cases, recurring hazards, hotspot areas, and prevention priorities.
Near-miss reports become clearer, more complete, and more useful for prevention.
Teams can identify high-potential cases before they become actual incidents.
AI suggestions help teams move from reporting to practical follow-up.
Repeated near misses can be summarized by area, task, hazard, or equipment.
Improved near-miss learning supports earlier intervention and risk reduction.
Workers see that near misses are captured, understood, and acted upon.
Explore how EHS AI Assist can help your teams capture better near misses, identify high-potential events, and act earlier to prevent incidents.
Get Early Access →