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CLPS Incorporation Leverages AI for Successful Legacy System Modernization at a Major Hong Kong Bank
CLPSCLPS(US:CLPS) Prnewswireยท2025-09-11 12:30

Core Viewpoint - CLPS Incorporation successfully modernized a 30-year-old legacy mortgage system for a major Hong Kong bank using artificial intelligence, marking a significant advancement in fintech solutions [1][7]. Project Challenges and Outcomes - The modernization involved overhauling a complex infrastructure with numerous software components, including 138 VB programs, 248 MS Access programs, and 841 stored procedures [2]. - The project faced challenges such as limited documentation and a lack of understanding of the system's operational logic, yet was completed in seven months with a team of just over 20 developers [2]. - A 70% automation rate was achieved in system code conversion, transitioning legacy applications to a modern Java/React/PostgreSQL stack, significantly reducing the project cycle from an estimated 24 months to 7 months [5][6]. Implementation Approach: Agile Development and AI - CLPS utilized an agile project management methodology, allowing for iterative phases and parallel development, which proved effective for AI-assisted development [3][4]. - The team employed AI-generated semi-completed program code to decipher system logic, enhancing understanding and completion of the programming tasks [3][4]. Multiple Values from Technology to Business - The modernization project resulted in substantial technical outcomes, including direct conversion of backend processes and smooth database migration to AWS Cloud [6]. - Labor input was reduced by over 60%, leading to millions of dollars in direct cost savings and a significant reduction in future system operation and maintenance costs [10]. Future Prospects - The AI-assisted development model is scalable and applicable across various industries with legacy systems, providing a replicable solution for modernization [7]. - The success of this project demonstrates a practical path for industries relying on outdated systems to achieve efficient transformation [7].