Statements of values (SOVs), property schedules, vehicle lists, and employee benefit schedules arrive in dozens of formats — spreadsheets, PDFs, scanned documents. Manually extracting building locations, construction types, values, and vehicle details is time-consuming and error-prone. We automate the entire process with AI-powered extraction at 98% accuracy.
From raw schedule or SOV to structured underwriting data — regardless of format.
Receive SOVs and schedules from broker emails and submissions. Classify by type — property, vehicle, employee benefits, equipment.
Extract key fields: building location, construction type, building value, number of stories, vehicle details, employee counts, and more.
Push extracted schedule and SOV data directly into underwriting workbenches and rating systems for immediate use.
Extract building location, construction type, occupancy, year built, building value, and TIV from property SOVs in any format.
Extract VIN, year, make, model, value, and driver assignment from vehicle schedules for auto and fleet underwriting.
Process employee census data, benefit elections, and class/salary information for group benefits underwriting.
Schedule and SOV data entry is pure mechanical work that keeps underwriters from evaluating risk. Automation gives that time back.
Whether SOVs arrive as Excel files, PDFs, or scanned documents, the AI extraction pipeline handles them consistently.
Manual transcription of large SOVs is where costly data errors originate. Automated extraction eliminates this risk.
Every hour freed from SOV data entry is an hour underwriters can spend on risk assessment and relationship building.
Extract location, construction, and valuation data from complex multi-property SOVs.
Process vehicle lists for commercial auto and fleet policies with VIN decoding and driver mapping.
Compare current vs. prior year SOVs to highlight changes in values, locations, or exposure.
Excel spreadsheets, PDFs, scanned documents, and structured data files. Our AI handles varying formats without requiring standardized templates.
Building location, construction type, occupancy, year built, number of stories, square footage, building value, contents value, and total insured value.
Yes. Our extraction pipeline handles SOVs of any size, from single-location risks to portfolios with thousands of properties.
Book a free intro call. We'll map out your workflows and show you exactly what we can automate — and how fast.