Modernizing Legacy Platforms with GenAI

From complex legacy code to modern microservices-faster, smarter, and at lower cost.

A global healthcare leader faced the challenge of modernizing legacy .NET services that were difficult to maintain, poorly documented, and heavily dependent on specialized expertise.

Using GenAI-powered modernization, the organization accelerated code conversion, documentation, testing, and migration to Java Spring Boot microservices.

The challenge

Modernizing the legacy platform required significant manual effort and specialized knowledge.

• Limited documentation and fragmented system knowledge
• Complex legacy code with scalability and maintainability challenges
• Manual code conversion and test creation
• High dependency on SMEs
• Extended modernization timelines

The GenAI-led approach

GenAI was embedded across the modernization lifecycle to automate repetitive engineering tasks and accelerate migration.

Reverse Engineering & Documentation
Analyzed legacy code and automatically generated documentation to accelerate knowledge discovery.

Code Modernization
Automated conversion of C# and WCF services to Java Spring Boot microservices.

Intelligent Testing
Generated JUnit test cases and accelerated functional and technical testing using code context and Swagger specifications.

Automation at Scale
Reduced reliance on manual, SME-driven processes and streamlined the overall modernization workflow.

The impact

11 months → 6 months
Modernization timeline reduced by nearly half.

The bigger opportunity

GenAI can do more than accelerate individual engineering tasks.

By embedding intelligence across code conversion, documentation, testing, and QA, organizations can transform legacy modernization into a faster, more scalable, and cost-efficient process.