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Home Case Studies

AI SDLC Acceleration Legacy Modernization

AI-Powered SDLC Acceleration for Legacy Platform Modernization
AI-Powered SDLC Acceleration for Legacy Platform Modernization

~67%

reduction in time for QA test case creation and PO story writing, with Lumea used daily as part of the modernization effort

Faster onboarding and shared understanding across engineering, QA, and product roles

Reduced manual documentation and discovery effort across the SDLC

Improved requirements clarity and test quality supporting ongoing modernization work

Business Objective

Our client, a U.S. education management software provider, was modernizing a large and complex legacy ERP system used by education administrators. Limited documentation, scarce subject matter expertise, and intricate legacy code slowed progress and increased delivery risk.

Product, QA, and engineering teams spent significant time manually analyzing code and dependencies to understand system behavior, delaying modernization efforts and impacting requirements quality and testing efficiency.Our client, a U.S. education management software provider, was modernizing a large and complex legacy ERP system used by education administrators. Limited documentation, scarce subject matter expertise, and intricate legacy code slowed progress and increased delivery risk.

Product, QA, and engineering teams spent significant time manually analyzing code and dependencies to understand system behavior, delaying modernization efforts and impacting requirements quality and testing efficiency.

Description

Two people sitting at a table with a laptop.

The Transformation

Exadel deployed Lumea, our AI-powered, context-aware SDLC accelerator, within the modernization program.

Lumea was integrated with the client’s existing knowledge sources, including application code, documentation, and delivery artifacts, to create a unified, contextual understanding of the system.

This enabled engineers, Business Analysts, and QA teams to quickly understand logic, dependencies, and requirements as part of their daily workflows, reducing manual discovery and documentation effort.

Case Studies