REIMAGINING FINANCIAL COMPLIANCE AUTOMATION: USING  JAVA MICROSERVICES AND GENERATIVE AI ON AWS BEDROCK  FOR REGULATORY INTELLIGENCE

Naveen Kumar Vayyasi

REIMAGINING FINANCIAL COMPLIANCE AUTOMATION: USING JAVA MICROSERVICES AND GENERATIVE AI ON AWS BEDROCK FOR REGULATORY INTELLIGENCE

Authors

Naveen Kumar Vayyasi

Keywords:

Financial Compliance, Generative AI, AWS Bedrock, Microservices Architecture, Regulatory Technology, Natural Language Processing, Java Enterprise Systems

Abstract

Financial institutions face escalating regulatory complexity with over 300 million pages ofcompliance documentation updated daily across global jurisdictions. Traditional rule-basedcompliance systems struggle with interpretation variability, implementation lag, and inability to contextualize regulations within specific business operations

References

Anderson, P., Richards, M., and Thompson, K. (2018) 'The state of compliance technology in financial services: survey findings and adoption barriers', Journal of Financial Regulation and Compliance, 31(3), pp. 287-304

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Published

2019-05-05

How to Cite

Naveen Kumar Vayyasi. (2019). REIMAGINING FINANCIAL COMPLIANCE AUTOMATION: USING JAVA MICROSERVICES AND GENERATIVE AI ON AWS BEDROCK FOR REGULATORY INTELLIGENCE . Journal of Computational Analysis and Applications (JoCAAA), 26(5), 14–31. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4879