AI Pipeline for Legacy Code Modernization

Problem

Many critical enterprise systems still run on legacy software written in outdated languages such as COBOL. These systems are deeply embedded in industries such as finance, government, and enterprise infrastructure. 95% of ATM transactions in the U.S. are processed using COBOL-based systems, and over 60% of U.S. hospitals run critical applications on legacy software such as COBOL and Fortran (Pragmatic Coders, 1).

Impact

The problem is that legacy systems introduce security risks, compatibility issues with modern technology, and large amounts of technical debt. Modernizing them is extremely difficult because these systems contain complex dependencies and decades of accumulated business logic. It is especially important to port code to modern platforms for use in cloud applications, which are primarily incompatible with legacy systems. 

Solution

Legacy Lift proposes an AI-driven pipeline that analyzes dependencies and incrementally converts legacy systems to modern infrastructure. It will maintain full compatibility with the infrastructure of the legacy code while enabling the security/performance benefits of modern programming languages.