Journal of Ai ML DL
RESEARCH ARTICLE   (Open Access)

Artificial Intelligence in Regulatory Compliance and Risk Management for Monitoring Standards, Tax Compliance, and Anti-Money Laundering

Muslima Jahan Diba1*, Md. Rezaul Haque2

+ Author Affiliations

Journal of Ai ML DL 1 (1) 1-8 https://doi.org/10.25163/ai.1110444

Submitted: 31 August 2025 Revised: 03 November 2025  Published: 08 November 2025 


Abstract

Background: Artificial Intelligence (AI) operates as a regulatory compliance and risk management system transformation which creates better operational efficiency and precise data-based decision processes. Organizations face complex tax regulations and anti-money laundering (AML) requirements and strict compliance standards which require them to find innovative technological solutions.

Methods: A structured validated questionnaire was used from December 2024 to September 2025 for gathering demographic details and AI adoption levels and task coverage and operational performance and user perceptions. The data collection process involved both online and offline surveys to achieve representative participation from all organizational departments. The data analysis process used SPSS version 26 software to generate descriptive statistics and perform mean score evaluations and Pearson correlation analyses for examining relationships between AI adoption and performance metrics. The statistical significance level was set at p = 0.05.

Results: The research demonstrates that AI implementation leads to major operational improvements and better compliance performance and error reduction and risk management. The study showed that AI usage has moderate to strong positive correlations with organizational results through correlation analyses (R = 0.41–0.53, p = 0.01). Users showed great satisfaction and trust towards AI systems which they used for routine monitoring and reporting and decision support tasks.

Conclusion: The Study findings demonstration AI implementation produces better compliance monitoring and risk handling results which lead to enhanced organizational performance.

Keywords: Organizational Performance, Artificial Intelligence, Regulatory Compliance, Risk Management, Anti-Money Laundering

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