SOV Cleansing
Every statement of values cleaned, geocoded and COPE-complete in an hour, every filled field cited.
Why it matters
SOVs arrive as messy spreadsheets with missing construction, occupancy and year built, bad addresses and low values; cat models and pricing are only as good as that data.
How the solution handles it
Five agents read every SOV, fix and geocode addresses, fill construction, occupancy, protection and exposure from the documents, compare values with benchmarks and last year’s SOV, and export a model-ready file. The underwriter accepts or queries every change.
How an SOV moves
Five agents read, geocode, complete, check and export every SOV; a property underwriter accepts each change.
What it reads, and what it hands back.
What goes in
- Statement of values (Excel)
- Prior-year SOV
- Appraisals and engineering reports
- Building permits and public records
- Broker COPE notes
What comes out
- Clean, geocoded SOV
- COPE completeness score
- Under-valuation flags
- Model-ready exposure file
Who uses it
The difference, in numbers.
Every figure is labelled: a target the solution is built to, an estimate, a typical published result, or a proven one.
“Target” = design goal, measured in the live solution · “Estimated” = our estimate · by-hand times as reported by property underwriting teams · agents = the live solution’s configuration
5 specialist agents. One person decides.
More in this division.
Every broker submission read, cleared and ranked within the hour, so underwriters quote the best risks first.
Loss Run AnalysisFive years of loss runs from any carrier normalised into one cited table in minutes, ready to price.
Quote & Binder CheckEvery quote, binder and policy checked term by term before issue, so the cover matches the promise.
Build this
for your team.
We’ll show SOV Cleansing running on your own documents.