Modernizing Critical Digital Services with AI-Powered SDLC Acceleration

 
Challenge

A leading global pharmaceutical organization relied on legacy .NET web services to power critical digital experiences across patient and HCP ecosystems. That foundation constrained scalability, slowed releases, and increased operational overhead.

Rising digital engagement and evolving compliance requirements demanded a stronger, cloud-ready architecture. But manual code conversion, fragmented documentation, and infrastructure-heavy deployments stretched timelines and introduced risk.

The organization needed to re-architect business-critical APIs, accelerate migration, and reduce cost. And they needed to achieve it all without disrupting essential digital services.

A leading global pharmaceutical organization partnered with GlobalLogic to modernize legacy .NET services into cloud-ready microservices — accelerating delivery with AI-powered SDLC and reducing cost by 68%.

Value Created

GlobalLogic combined legacy application modernization with AI-powered SDLC acceleration to drive measurable gains in speed, cost, and engineering efficiency.

AI Embedded Across the SDLC

GlobalLogic embedded GenAI-driven automation directly into the modernization lifecycle.

AI auto-generated approximately 50% of base code during .NET to Java Spring Boot conversion, reducing manual effort while maintaining engineering oversight.

The team automated JUnit test generation, recreated missing documentation through reverse engineering, and introduced structured API test automation to strengthen regression coverage.

This approach accelerated delivery while preserving governance, quality standards, and architectural integrity.

Cloud Application Modernization at Scale

GlobalLogic established a secure Azure cloud foundation with automated CI/CD pipelines and containerized deployments.

Teams consolidated distributed components into a modern microservices architecture, improving deployment consistency, monitoring, and performance stability.

A structured infrastructure decommission plan aligned the migration with the enterprise roadmap and reduced operational complexity.

Impact

AI-powered SDLC acceleration enabled the organization to modernize faster, reduce engineering effort, and improve delivery predictability. By embedding GenAI-driven automation across code conversion, test generation, and documentation, GlobalLogic delivered measurable, business-critical outcomes, including:

• 44% faster delivery timelines, reducing conversion from 11 months to 6 months
• 68% overall cost savings through automation, cloud consolidation, and infrastructure optimization
• Up to 50% reduction in manual code conversion effort
• Up to 70% optimization in JUnit test creation

These improvements streamlined modernization of business-critical APIs, reduced operational complexity, and established a scalable, cloud-ready foundation aligned with the organization’s long-term digital roadmap.