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This article examines the complex challenges financial institutions face when modernizing their legacy systems through microservices architecture and artificial intelligence. Legacy financial systems, characterized by monolithic architecture, outdated technologies, and intricate domain logic, present significant barriers to innovation despite their continued reliability in processing critical transactions. The transition to microservices offers promising benefits but introduces substantial challenges in decomposition, integration, and operations. It explores how artificial intelligence can mitigate these challenges through automated code analysis, intelligent integration layers, and enhanced data synchronization. Implementation strategies such as the Strangler Pattern and event-driven architectures provide effective approaches for gradual transformation while maintaining system integrity. The article also addresses the critical regulatory and compliance considerations unique to financial modernization, illustrates successful transformation approaches through case studies, and explores future directions for financial technology evolution, including autonomous operations and quantum computing integration.
Srinivasa Rao Kurakula (2025) studied this question.