Commercial auto fleet underwriting is bottlenecked by manual data aggregation from vehicle lists, MVRs, telematics, and loss runs. Underwriters waste hours in spreadsheets, delaying quotes and creating inconsistent risk views. A custom automation workflow ingests these heterogeneous datasets via APIs and document AI, orchestrates parallel data verification, and applies tiered pricing logic. This eliminates repetitive data entry, reduces initial assessment time from days to minutes, and allows underwriters to focus on complex risk adjudication and relationship management.




