About the client:
A UK- and Ireland-based bulk fuel distribution software company operating for over 30 years relied on a legacy VB6 transaction processing system. Used by 500-600 users across multiple industries, the system had become a bottleneck due to scalability, maintenance, and performance challenges.
The client required a robust modernization strategy to transition from outdated technology without disrupting critical business operations.
Benefits Overview:
80% Less manual effort with AI automation
40% Faster feature rollout
60% Lower modernization costs
Challenge
The client’s legacy VB6 application had become a major obstacle to business growth. The aging fat-client architecture was no longer sustainable, leading to scalability issues and operational inefficiencies. Maintaining the system had become increasingly difficult, and the company lacked the budget for a multi-million-pound overhaul.
Additionally, the highly configurable nature of the application introduced significant complexities in functional testing, making it crucial to validate every aspect of the system post-modernization. Transitioning to a web-based model also posed a challenge, as the client needed to balance cost-effectiveness with maintaining a competitive advantage.
A modernization approach was required that would minimize business disruption while optimizing performance and future-proofing the platform.
Solution Architecture:
Legacyleap executed an AI-driven modernization strategy to transform the client’s VB6 system into a scalable, cloud-ready architecture. The process began with a detailed system assessment to identify legacy dependencies, performance bottlenecks, and critical workflows, ensuring a smooth transition without disrupting operations.
Using GenAI-powered automation, we accelerated migration, with AI handling 50-70% of code transformation while maintaining functional accuracy. Instead of a full rewrite, we applied intelligent refactoring to restructure business logic, improving maintainability and eliminating inefficiencies while preserving essential functionalities.
To mitigate risks in migrating a highly configurable system, Legacyleap deployed AI-driven functional and regression testing, ensuring accuracy, stability, and compliance. Automated test case generation enabled continuous testing, reducing manual effort and speeding up deployment.
A hybrid deployment model allowed select user groups to transition incrementally, minimizing disruptions and enabling real-time feedback.
Combined with cloud-enabled strategies, the new system was built for scalability, allowing future expansion without performance constraints.
Results:
80% Less Manual Effort
AI automation accelerated the migration timeline.
40% Faster Go-to-Market
Enabled rapid deployment of new features.
Enhanced Scalability & Performance
Cloud-ready architecture for future growth.
60% Cost Savings
Achieved compared to traditional modernization methods.