Commercial underwriting submission preparation
Complex submissions contain schedules and documents that underwriters must reconcile before assessing risk.
The challenge behind the workflow.
Complex submissions contain schedules and documents that underwriters must reconcile before assessing risk.
Bring exposure, policy, claims, repair, and financial data into a common working context. Help underwriters, claims teams, and catastrophe analysts investigate exceptions without losing the history behind a decision.
Data to bring together
- Submission documents
- Exposure schedules
- Existing policy records
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Extract or ingest permitted fields and validate totals against the submitted schedules.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Highlight missing values, changed exposures, and inconsistent classifications.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Produce a structured underwriting pack with source references and review flags.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A commercial submission pack
Make the next run easier.
Reusable submission templates reduce spreadsheet consolidation for repeat renewals.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time to prepare a submission for underwriting
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Underwriters validate extracted data and remain responsible for risk assessment.
AI with professional judgment.
Use AI to summarize documents and suggest investigation questions. Coverage, pricing, fraud referrals, and claim payments require authorized review.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.