Home
World Journal of Advanced Engineering Technology and Sciences
International, Peer reviewed, Referred, Open access | ISSN Approved Journal

Main navigation

  • Home
    • Journal Information
    • Abstracting and Indexing
    • Editorial Board Members
    • Reviewer Panel
    • Journal Policies
    • WJAETS CrossMark Policy
    • Publication Ethics
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Become a Reviewer panel member
    • Join as Editorial Board Member
  • Contact us
  • Downloads

ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 3 (March 2026).... Submit articles

The role of AI in automating enterprise payments: Enhancing speed, accuracy, and security

Breadcrumb

  • Home
  • The role of AI in automating enterprise payments: Enhancing speed, accuracy, and security

Sutheesh Sukumaran *

University of Calicut, India.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 1912-1920

Article DOI: 10.30574/wjaets.2025.15.1.0425

DOI url: https://doi.org/10.30574/wjaets.2025.15.1.0425

Received on 13 March 2025; revised on 22 April 2025; accepted on 24 April 2025

This article examines the transformative impact of artificial intelligence on enterprise payment systems, highlighting how AI technologies are revolutionizing traditional financial operations through enhanced automation, security, and decision-making capabilities. The article explores multiple dimensions of AI application in payment ecosystems, including automated reconciliation processes that dramatically reduce manual workloads, sophisticated fraud detection systems that identify threats in real time, intelligent invoice processing that eliminates data entry burdens, and predictive analytics that enable proactive financial management. The article further investigates how these technologies are evolving toward autonomous financial operations where AI systems dynamically optimize payment flows, prioritize transactions based on comprehensive risk assessments, and ensure regulatory compliance without human intervention. While acknowledging significant implementation challenges related to legacy system integration, data quality requirements, regulatory considerations, and organizational change management, the article identifies pathways to successful adoption and examines emerging frontiers where AI convergence with blockchain, quantum computing, and conversational interfaces promises to deliver even greater transformations. This comprehensive article reveals how AI-powered payment automation is not merely improving operational efficiency but fundamentally redefining enterprise financial management as a strategic competitive advantage in the digital economy. 

Payment Reconciliation Automation; AI Fraud Detection; Intelligent Invoice Processing; Predictive Cash Flow Analytics; Autonomous Financial Decision-Making

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0425.pdf

Preview Article PDF

Sutheesh Sukumaran. The role of AI in automating enterprise payments: Enhancing speed, accuracy, and security. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 1912-1920. Article DOI: https://doi.org/10.30574/wjaets.2025.15.1.0425

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content


Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


Copyright © 2026 World Journal of Advanced Engineering Technology and Sciences

Developed & Designed by VS Infosolution