Policy, Billing, and Claims Platform Modernization
Modernize data pipelines, operational reporting, and legacy applications across policy, billing, and claims without losing product rules or exception handling.
Buried Product Rules: Modernize Policy, Billing, and Claims Without Losing Exception Handling
In insurance, the product is the logic. Rating rules, coverage conditions, billing schedules, and claims exceptions are embedded across decades of code, ETL pipelines, and reports — and often understood by only a handful of specialists.
Accelyst extracts those rules, documents them, and generates modular target assets and APIs where they make sense. Every migration wave is reconciled against real policies, bills, and claims, so new products launch faster and your platform change never quietly changes what you pay out.
Market Drivers in Insurance
Why modernization is now a priority for insurance technology and data leaders.
Product complexity
Rating logic, coverage rules, billing schedules, and claims exceptions are embedded across code, workflows, and reports.
Fragmented platforms
Legacy policy and claims systems feed overlapping ETL pipelines and dashboards with inconsistent definitions.
Industry Pain Points
The legacy challenges that slow change and raise migration risk.
Knowledge concentration
A small number of specialists understand critical legacy rules and dependencies.
Slow product change
New products or rule changes require coordinated edits across applications, pipelines, and reports.
Migration uncertainty
Teams lack documented source-to-target logic and repeatable validation assets.
Policy-to-analytics modernization
Reverse-engineer policy, billing, and claims logic across ETL/ELT, BI, and application code; generate modular target assets and APIs where appropriate; rationalize reports and KPIs; validate business outcomes against the legacy estate.
A Governed, Four-Phase Delivery
AI does the heavy lifting of discovery and generation. Your experts approve every result.
- 01
Discover
Map systems, interfaces, workflows, reports, dependencies, and metadata.
- 02
Reverse Engineer
Extract product rules, transformations, calculations, lineage, and exception paths.
- 03
Generate
Create documentation, user stories, target code, mappings, semantic models, and test cases.
- 04
Validate
Reconcile representative policies, bills, claims, and reporting results.
Expected Business Outcomes
What insurance teams gain from AI-native legacy modernization.
- Reduced dependency on undocumented legacy knowledge
- Faster planning for product and platform changes
- More consistent KPIs across operational and analytical reporting
- Lower modernization risk through repeatable validation
Common Questions
What insurance leaders ask before modernizing legacy platforms.
Yes. We reverse-engineer product rules, transformations, calculations, lineage, and exception paths across ETL/ELT pipelines, BI reports, and application code, and document them as reusable modernization assets.
We reconcile representative policies, bills, claims, and reporting results between the legacy estate and the target platform, giving your teams repeatable validation assets for every migration wave.
That is a core outcome. Once rules and dependencies are documented as mappings, user stories, and test cases, knowledge no longer sits with a small group of people.
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