Job: normalize loss runs from mixed PDFs and spreadsheets into a dated history an underwriter can trust, with missing years listed as gaps.
Automated loss run processing that normalizes data from any format, identifies loss patterns, calculates key metrics (frequency, severity, development), and enriches with external data (CAT events, inflation adjustments). Delivers standardized loss analytics in minutes.
Process loss runs 95% faster than manual
Automatic loss trend and frequency analysis
CAT vs. attritional loss classification
Inflation and development adjustments
Consistent loss metrics across all submissions
5-year loss history analysis for renewals
CAT event loss identification and trending
Large loss frequency analysis
Loss development pattern recognition
Job: turn a broker inbox of slips, SOVs, and loss runs into a traced facultative pack with a chase list for missing pages.
Job: extract cited assumptions and figures from actuarial PDFs so pricing conversations use the same numbers as the report.
Job: assemble pricing inputs (exposure, experience, cited attachment) so a human can set technical price. The agent does not silently bind a layer.