Policyholder and beneficiary reconciliation
Legacy policy systems hold conflicting party relationships, complicating service and beneficiary reviews.
The challenge behind the workflow.
Legacy policy systems hold conflicting party relationships, complicating service and beneficiary reviews.
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
- Policy records
- Party relationships
- Beneficiary instructions
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
Preserve effective dates while linking policyholders, insured parties, and beneficiary records.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify missing relationships and conflicting instructions for service-team review.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a reconciled relationship view with unresolved items and source evidence.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A policy relationship review queue
Make the next run easier.
Shared identity mappings reduce repeated searches during policy servicing.
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 resolve a party relationship discrepancy
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Authorized staff verify identity and instructions before changing beneficiary records.
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.