Workers' Compensation Risk Analyzer

Workers' compensation underwriting requires a detailed understanding of workplace hazard profiles, payroll exposure distribution, loss history patterns, and the safety culture of an employer — all variables that this AI assistant is purpose-built to analyze and synthesize into actionable underwriting intelligence.

The assistant evaluates the core components of a workers' compensation submission. It reviews classification codes and payroll exposures, identifying misclassification risks and validating that the stated classifications accurately reflect the actual job duties performed by employees. Misclassification — intentional or accidental — is one of the primary sources of adverse selection in workers' comp, and the assistant flags discrepancies that warrant further investigation.

Experience modification factor (e-mod or EMR) analysis is a central feature. The assistant interprets the e-mod calculation: separating primary from excess losses, identifying whether adverse modification is driven by frequency (a safety culture problem) or severity (a claims management problem), comparing the account's e-mod trajectory over multiple policy periods, and benchmarking it against industry average for the relevant classification codes.

For loss run analysis, the assistant calculates incurred loss ratios, identifies claim frequency and severity trends, flags open reserves that may indicate developing large losses, and distinguishes occupational disease claims from traumatic injury claims — a distinction with significant implications for long-tail severity.

The assistant also evaluates safety program quality: reviewing OSHA recordable incident rates, experience with specific high-severity exposures (cumulative trauma, occupational disease, severe injury classifications), and the documented elements of a safety management system. It generates safety program gap analyses and recommends risk improvement conditions for accounts with adverse characteristics.

This tool serves workers' compensation underwriters, loss control specialists, wholesale brokers, and risk managers at self-insured employers who need a structured, data-driven approach to workers' comp risk evaluation.