Workplace Incident Risk Scoring

Workplace Incident Risk Scoring uses AI to perform scoring of work tasks, locations, job roles, equipment conditions, near-miss records, and contextual factors, enabling more targeted safety intervention, by estimating relative incident likelihood across site areas, activities, and periods, across EHS operations and health and safety management workflows.

Safety managers allocate inspection and intervention resources across large sites using historical incident rates and intuition. High-risk task combinations, locations, and conditions that precede incidents are not systematically identified, so prevention efforts miss the highest-risk situations.

The AI performs scoring on task profiles, work area conditions, near-miss history, equipment state, and environmental factors and produces risk scores by area, activity type, and period. The output is reviewed by safety managers before resource allocation and inspection planning.

The primary metric is leading-indicator inspection coverage of high-risk areas; the target direction is higher coverage and lower recordable incident rate in scored high-risk activities.

• •Task profiles, work area layouts, near-miss records, equipment condition data, and historical incident records are available.
• •EHS management systems can receive risk scores and route them to safety managers for reviewed allocation decisions.
• •Human review is mandatory before any operational decision based on individual or area risk scores.