CLPS Incorporation (the "Company" or "CLPS") announced the successful modernization of a 30-year-old legacy mortgage system for a major Hong Kong bank, leveraging artificial intelligence (AI), including client-specified models like Microsoft Copilot. This achievement marks a significant breakthrough for CLPS in applying AI to complex system modernization, providing a replicable model for fintech solutions. 

To meet its evolving business needs, the bank required a complete overhaul of its legacy mortgage system. CLPS successfully modernized a vast and intricate infrastructure, which comprised of 138 Virtual Basic (VB) functional programs, 248 Microsoft (MS) Access programs, 315 reports, 114 letters, 303 batch jobs, 25 COBOL programs, and 841 stored procedures. 

The modernization effort faced significant challenges due to limited documentation, minimal understanding of the system's operational logic, and the complexity arising from its numerous software components. Relying solely on the raw source code, CLPS completed this large-scale modernization within seven months with a team of just over 20 developers. By leveraging AI, the Company achieved a 70% automation rate in system code conversion, successfully transforming the legacy VB applications and MS Access database programs to a modern Java/React/PostgreSQL technology stack. This process ensured business continuity while completing a comprehensive upgrade of the technical architecture. In contrast, a project of this scale using traditional methods would typically require 40–50 developers and two years to complete.