The impact of artificial intelligence and machine learning on cross-border payment systems: Enhancing efficiency, security and compliance

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17104074
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

The impact of artificial intelligence and machine learning on cross-border payment systems: Enhancing efficiency, security and compliance

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

The impact of artificial intelligence and machine learning on cross-border payment systems: Enhancing efficiency, security and compliance

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Master's College (US)
Partnerships for the goals
Openalex Percentile: Top 44%
Geochemistry and Geologic Mapping
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The impact of artificial intelligence and machine learning on cross-border payment systems: Enhancing efficiency, security and compliance · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS