Streamlining Insurance System Modernization with Gen AI for a Financial Services Firm

About the client:

The client is a major insurance administration provider offering integrated retirement, investment, life, and insurance solutions. Their core system, built on VB6, had become a bottleneck, limiting scalability, maintainability, and integration with modern technologies. 

To future-proof their operations, they sought a structured modernization approach to migrate their legacy VB6 system to a fully integrated C# environment.

Challenge

The client’s legacy insurance administration platform, developed in VB6 with a complex architecture of multiple executables, DLLs, and COM dependencies, presented significant modernization hurdles:

• The system spanned 327 files, including 259 forms and multiple MDI components, making enhancements and troubleshooting cumbersome.
• Over 240 unique UI containers and 9,612 control instances resulted in performance constraints.
• The system made 242,613 calls to external COM components, creating compatibility issues with modern .NET frameworks.
• Functional testing required extensive manual effort due to the lack of automated UI testing.
• Significant reliance on ADODB, legacy Excel, and Word integrations required careful replacement with modern equivalents.

Solution

Legacyleap executed a comprehensive, automation-driven modernization strategy using Gen AI to transform the client’s legacy VB6 system into a scalable C# platform.

Key aspects of the solution included:

• Automated Code Transformation: AI-assisted tools replaced outdated COM-based components with native .NET alternatives, eliminating dependencies on ADODB, MSFlexGrid, and legacy Office integrations. Gen AI models were used to refactor and optimize legacy business logic, ensuring a seamless transition.
• Incremental Migration Approach: A phased modernization strategy ensured system stability, gradually replacing VB6 modules while maintaining operational continuity. Gen AI-powered dependency mapping helped prioritize high-impact components for early migration.
• Scalability & Performance Enhancements: The migration optimized system architecture, consolidating 5 EXEs and 10 DLLs into a streamlined .NET environment, improving maintainability and execution speed. AI-driven performance analysis fine-tuned database queries and memory management.
• Automated UI Testing Framework: A custom-built automated testing solution, enhanced with Gen AI-generated test scripts, reduced functional testing time and ensured high reliability post-migration.
• Future-Ready Architecture: The system was modernized using lightweight, object-oriented C# coding standards, leveraging extension methods for VB6 compatibility where required. Gen AI-driven code quality analysis ensured adherence to best practices and security standards.

Results: