Premium collection and lapse review
Premium status can differ between billing, payment, and policy systems, creating misleading lapse indicators.
The challenge behind the workflow.
Premium status can differ between billing, payment, and policy systems, creating misleading lapse indicators.
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
- Premium schedules
- Payment receipts
- Policy status history
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
Align due dates, receipts, reversals, and policy identifiers across source systems.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Separate missing payments from posting delays and compare cohorts for service follow-up.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver an evidence-backed lapse review list for approved retention workflows.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A premium reconciliation workspace
Make the next run easier.
Reusable payment reconciliation prevents analysts rebuilding the same policy-level checks.
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
Unresolved premium mismatches and review turnaround
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Confirm contractual treatment and customer circumstances before any policy status change.
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.