Automated Regulatory Reporting Using AI-Powered BI Systems
DOI:
https://doi.org/10.15662/IJEETR.2026.0801015Keywords:
Automated Reporting, AI in Business Intelligence, Regulatory Compliance, AI Automation, Data Analytics and Reporting SystemsAbstract
AI-enabled Business Intelligence (BI) solutions provide dramatic improvements in automating regulatory reporting, accuracy, efficiency, and compliance. The present paper investigates applications of AI technology, like machine learning and natural language processing, to simplify collecting, validating, and reporting regulatory data. Through automation, AI applications lower human effort, minimize errors, and deliver timely, compliant submissions. The analysis reviews a range of BI systems and how effective each has been in streamlining report automation, focusing on compliance rates and operational efficiency improvements. The primary findings are that AI-enabled solutions can cut reporting time and errors by a significant proportion, as well as overall compliance rates. The document also addresses issues of implementing these programs, such as integrating data, managing system compatibility, and resistance from companies. The results outline the potential of using AI to revolutionize regulatory reports, providing a scalable framework that enhances both efficiency and compliance across business sectors.
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