AI-POWERED COMPLIANCE DASHBOARDS: LEVERAGING  SPRING BOOT AND BEDROCK FOR AUTOMATED FINANCIAL  AUDITING

Naveen Kumar Vayyasi

AI-POWERED COMPLIANCE DASHBOARDS: LEVERAGING SPRING BOOT AND BEDROCK FOR AUTOMATED FINANCIAL AUDITING

Authors

Naveen Kumar Vayyasi

Keywords:

Financial Auditing, Compliance Dashboard, Spring Boot, AWS Bedrock, Generative AI, Automated Auditing, Risk Assessment, Transaction Monitoring

Abstract

Financial auditing remains a labor-intensive process requiring extensive manual review oftransactions, controls, and documentation despite decades of automation efforts. Traditionalaudit tools provide data visualization and sampling capabilities but lack intelligent interpretation of anomalies, contextual risk assessment, and automated evidence gatheringessential for modern audit efficiency

References

Anderson, M. and Parker, D. (2019) 'Enterprise adoption barriers for AI-powered audit tools: security and compliance considerations in financial services', Journal of Information Systems, 37(2), pp. 89-107.

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Published

2019-11-05

How to Cite

Naveen Kumar Vayyasi. (2019). AI-POWERED COMPLIANCE DASHBOARDS: LEVERAGING SPRING BOOT AND BEDROCK FOR AUTOMATED FINANCIAL AUDITING. Journal of Computational Analysis and Applications (JoCAAA), 26(8), 1–19. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4881