Underwriting evidence preparation
Underwriters need an organized application history while sensitive documents remain tightly controlled.
The challenge behind the workflow.
Underwriters need an organized application history while sensitive documents remain tightly controlled.
Connect long-duration policy, premium, claims, and actuarial information while retaining historical meaning. Focus on reproducible assumptions, clear customer context, and handoffs between operations, finance, and actuarial teams.
Data to bring together
- Application forms
- Authorized evidence documents
- Underwriting case notes
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
Classify documents, link approved evidence, and record which required items are present.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Surface incomplete or contradictory information for an underwriter to assess.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a permission-scoped case pack with sources and a documented review status.
Make the output available to the right people with appropriate access, ownership, and review evidence.
An underwriting evidence pack
Make the next run easier.
A consistent evidence structure reduces manual document collation for each application.
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
Preparation time before underwriting review
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Qualified underwriters assess evidence; automated summaries must not determine insurability.
AI with professional judgment.
Use AI to organize documents and explain analytical changes. Underwriting, benefit eligibility, and actuarial assumptions need qualified human 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.