Serverless workflows for real-time bankruptcy monitoring: A cloud-native approach to financial compliance automation

Boinapally, Diliprao (2025) Serverless workflows for real-time bankruptcy monitoring: A cloud-native approach to financial compliance automation. World Journal of Advanced Research and Reviews, 26 (2). pp. 647-656. ISSN 2581-9615

This article presents a novel cloud-native reference architecture designed to automate the end-to-end lifecycle of bankruptcy risk detection for financial institutions. The proposed architecture leverages serverless workflows, distributed compute clusters, and event-driven orchestration to transform traditionally manual processes into a scalable, resilient system. By automating the ingestion of legal notices, parsing embedded XML within court documents, and implementing real-time entity matching against client portfolios, the system significantly reduces operational overhead while enhancing regulatory compliance. The architecture incorporates automated docket monitoring and compliance-based scoring systems that enable financial institutions to minimize legal exposure and meet increasingly stringent response SLAs. The evaluation demonstrates a 78% reduction in processing time, 92% improvement in detection accuracy, and 65% decrease in compliance documentation effort compared to conventional approaches. The modular design principles presented can be generalized across various compliance-driven use cases in high-volume financial environments, offering a blueprint for modernizing regulatory technology stacks. This article contributes to the growing body of knowledge on cloud-native solutions for complex financial compliance challenges in an increasingly digital regulatory landscape.