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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17299359
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Architecture and Computational Design
article

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

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Risk Management Solutions (United Kingdom) (GB)
Openalex Percentile: Top 38%
Architecture and Computational Design
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