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Reverse Engineering of COBOL, PL-1, and Progress for Insurance

Most legacy insurance systems still do the job they were built for. The problem begins when teams need to understand the logic inside them to change, migrate, or modernize with confidence. Scry AI’s Datatio helps reverse engineering of COBOL, PL-1, and progress for insurance to uncover business logic, reconstruct calculations, map data flows, and prepare for modernization.

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The Reality of Legacy Systems in Insurance

Insurance organizations still depend on legacy mainframe systems built on COBOL, PL-1, and progress to support business operations. Over time, they become dense with actuarial calculations, product rules, data dependencies, and regulatory changes that are hard to trace across systems.

Regulatory demands continue to rise, and digital transformation has become more urgent for insurers. This puts growing pressure on legacy environments that were not built for the speed and adaptability modern business needs now require. Limited documentation, high system complexity, and reliance on specialized resources make modernization harder to execute.

How Legacy Insurance System Analysis Still Happens Today

Most legacy modernization work still moves through manual and fragmented steps. The process takes longer, demands more effort, and becomes harder to manage at scale.

1
Code interpretation and maintenance
Legacy code is manually reviewed to understand business rules and processing logic.
2
Manual reverse engineering
Business logic is extracted through time-intensive analysis of old programs and connected systems.
3
Fragmented processing
Multiple systems handle calculations and outputs without a clear view of how data moves.
4
Manual illustration generation
Insurance illustrations and related outputs are often generated through heavy legacy processes.
5
Limited scalability
Enhancements and regulatory changes require effort across ageing systems and teams.
6
Expert dependency
Progress often depends on a small group of people with a deep knowledge of technology.

Scry AI’s Reverse Engineering & Modernization Solution

Built on Datatio®, Scry AI’s reverse engineering & modernization solution automates legacy system understanding, transformation analysis, and modernization support for insurance operations. Datatio uses 60+ proprietary algorithms for legacy-program reverse engineering, code analysis, data lineage, and automated mapping of input and output tables.

  • Automated reverse engineering

    Automated reverse engineering of legacy codebases to extract business logic and data relationships.

  • Decision-tree logic reconstruction

    Decision tree-based logic reconstruction for more transparent and explainable rule interpretation.

  • Actuarial formula reconstruction

    Automated discovery and reconstruction of complex actuarial formulas across legacy systems.

  • End-to-end data flow mapping

    Data flow mapping and visualization for full traceability across tables and transformations.

  • Business-friendly output explanations

    Natural language generation for business-friendly explanations of calculations and outputs.

  • Modernization into modular architectures

    Support for system modernization into scalable modular architectures.

  • Structured data integration

    Structured data storage and integration for downstream insurance systems and processes.

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Make Insurance Modernization Decisions with Accuracy

Create a stronger starting point for modernization with better visibility into legacy insurance logic and flows.

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Frequently Asked Questions

Create a stronger starting point for modernization with better visibility into legacy insurance logic and flows.

1. What does reverse engineering of COBOL, PL-1, and Progress for insurance mean?

It means analyzing legacy insurance systems to uncover business logic, actuarial formulas, data mappings, and transformation rules. It is needed so teams can understand how the system works before modernization begins.

Scry AI supports modernization through Datatio® by automating code analysis, discovering data mappings, reconstructing logic, and preparing the system insight needed for modernization and migration planning. Datatio is built for reverse engineering legacy programs and computing data lineage and transformations across large environments.

Yes. Scry is designed to reconstruct complex actuarial formulas and support business-friendly explanations of outputs such as insurance illustrations.

Yes. Scry AI Datatio is built for large and complex environments and uses 60+ proprietary algorithms to reverse engineer legacy programs. It also helps compute data lineage and map transformations at scale.

By making logic, mappings, formulas, and dependencies easier to analyze and document, Scry AI reduces the amount of manual interpretation that would otherwise depend on specialists.