COBOL (Common Business-Oriented Language), a programming language developed in 1959, remains the backbone of many critical systems across industries such as banking, government, and insurance. Despite its reliability and robustness, COBOL systems face significant challenges due to their age, complexity, and the dwindling pool of skilled programmers proficient in this language. As veteran developers retire and documentation for these legacy systems becomes scarce, organizations are increasingly turning to Artificial Intelligence (AI) to modernize their COBOL-based infrastructures.

AI has emerged as a transformative tool capable of automating code analysis, identifying inefficiencies, translating COBOL into modern programming languages like Java or Python, and even generating updates. This approach not only reduces costs but also accelerates modernization efforts while preserving the functionality of mission-critical systems.