Underwriting teams routinely received submission packs from brokers and cedants in diverse formats: Excel, CSV, PDF, or email attachments.
Information required for pricing—premiums, limits, deductibles, claims history, exposure, or coverage period—had to be located, verified, and restructured manually before ingestion into internal tools.
This repetitive step delayed case analysis and elevated the risk of data entry errors.
We built an end-to-end pipeline to automatically ingest submissions, identify relevant data points, and normalize them into a standardized format.
The system couples deterministic validation rules with AI to parse varying document layouts, map fields to the internal schema, and flag missing or inconsistent figures.
Validated data is immediately surfaced to underwriting teams and pricing models.
Dossier preparation no longer requires manually copying and reformatting data from each submission.
Underwriters receive clean, standardized, analysis-ready datasets much faster, maintaining human oversight for edge cases requiring review.
Result: average submission prep time cut from 45 to 10 minutes—a 78% time savings per case.
