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The Future of Software Delivery with AI – Part 2: Turning Legacy Code into Business Value at Record Speed

Turning Legacy Code into Business Value at Record Speed

Most enterprises spend a significant portion of their IT budgets just trying to understand and rewrite legacy systems.

Modernization efforts often stall in the analysis and planning phase—dragging on for months before a single feature is delivered. To outpace the competition, organizations need to apply AI to extract business logic from aging codebases and accelerate the rebuild process, transforming legacy systems into working assets in days, not quarters.

AI-Driven Modernization Process

A Real-World Example

Meliá Hotels International migrated its central reservation system from a mainframe to AWS and saw a 75% improvement in time to market. What once took multiple quarters now takes just one month—and compute costs dropped by 60% (Amazon Web Services, Inc.).

Quick Tip

Use AI to auto-generate data-model diagrams and API specifications directly from legacy code. Your architects can skip days of manual reverse engineering and start building sooner.

Legacy Modernization

Looking Ahead

Imagine feeding your legacy code into an AI engine that instantly reveals hidden business rules, produces modern application skeletons, and validates behavior in Continuous Integration—all in the time it takes to brew a cup of coffee.

That’s how you turn yesterday’s systems into today’s competitive advantage.