Master of Business Administration, New York, USA.
International Journal of Science and Research Archive, 2025, 15(01), 239-244
Article DOI: 10.30574/ijsra.2025.15.1.0967
Received on 24 February 2025; revised on 02 April 2025; accepted on 05 April 2025
Cross-border payment systems play a vital role in global trade but are often hindered by inefficiencies such as high transaction costs, prolonged processing times, and security vulnerabilities. This study presents an empirical analysis of AI-powered payment systems, assessing their effectiveness in optimizing transaction routing, enhancing fraud detection, automating compliance processes, and improving foreign exchange management. Using transaction data from fintech platforms that have implemented AI-driven payment solutions, this research evaluates the tangible benefits of Artificial Intelligence (AI) integration. The findings indicate that AI significantly reduces processing times and fraud risks while enhancing cost efficiency. This paper details the research methodology, key results, and a comprehensive discussion on the transformative impact of AI and machine learning (ML) on international payment infrastructures.
AI-powered payments; Cross-border transactions; Fraud detection; Machine learning; Transaction optimization; Compliance automation; Financial technology
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Merve Ozkurt Bas. The impact of artificial intelligence and machine learning on cross-border payment systems: Enhancing efficiency, security and compliance. International Journal of Science and Research Archive, 2025, 15(01), 239-244. Article DOI: https://doi.org/10.30574/ijsra.2025.15.1.0967.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







