Job: extract cited assumptions and figures from actuarial PDFs so pricing conversations use the same numbers as the report.
AI extraction of actuarial metrics, assumptions, and recommendations from reports. Creates executive summaries, tracks pricing indication trends, and alerts on material changes in loss projections or reserve adequacy.
Extract all key metrics in under 2 minutes
Track pricing indication trends over time
Alert on material reserve changes
Create executive summary dashboards
Compare actuary recommendations vs. actual pricing
Quarterly reserve adequacy review
Annual pricing indication extraction
Treaty renewal actuarial analysis
Portfolio profitability tracking
Job: normalize loss runs from mixed PDFs and spreadsheets into a dated history an underwriter can trust, with missing years listed as gaps.
Job: assemble pricing inputs (exposure, experience, cited attachment) so a human can set technical price. The agent does not silently bind a layer.
Job: compute ratios from premium and claims files that already reconcile, and refuse a combined ratio when the year-cut is still a gap.