Life claim evidence coordination
Claims teams repeat document requests because policy coverage and received evidence are not visible together.
The challenge behind the workflow.
Claims teams repeat document requests because policy coverage and received evidence are not visible together.
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
- Claim notifications
- Policy coverage history
- Document receipt 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
Link the claim to effective coverage and inventory the evidence already received.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Highlight missing items and inconsistent information for the claims owner.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver a case workspace with documented next steps and a reviewable evidence trail.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A life claim evidence workspace
Make the next run easier.
A single case view reduces duplicate requests and handoff confusion.
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
Duplicate evidence requests and case preparation time
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Claims specialists determine benefit entitlement and authorize decisions.
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.