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 2 (February 2026).... Submit articles

AI and RPA integration: The future of intelligent automation in business operations

Breadcrumb

  • Home
  • AI and RPA integration: The future of intelligent automation in business operations

Abhaykumar Dalsaniya * and Kishan Patel

Intelligent Automation, USA

Research Article
 
World Journal of Advanced Engineering Technology and Sciences, 2021, 03(02), 095–108.
Article DOI: 10.30574/wjaets.2021.3.2.0065
DOI url: https://doi.org/10.30574/wjaets.2021.3.2.0065

Received on 26 September 2021; revised on 25 October 2021; accepted on 28 October 2021

Artificial intelligence and Robotic process automation, commonly known as Cognitive automation, are now revolutionizing business processes and delivering Intelligent automation solutions. The objective of this paper is to explain how AI is connected to RPA and how these two technologies improve proper business functioning. Since organizations are trying to make their processes more efficient, the demand for such automation tools that execute simple tasks and learn from data is greatest.
To that end, the present study adopted a mixed-methods approach based on quantitative and qualitative research procedures. The primary data were obtained through the questionnaires of those organizations that have already implemented AI and RPA and the four interviews of the industry specialists. Furthermore, primary data supplemented by second data sourced from peer-reviewed journals and white papers where relevant were considered in substantiation of the research findings. The paper outlines the advantages of IA for organizations, including increased operation efficiency, better customer experience, and higher employee morale.
Key insights include confirming that organizations with AI and RPA achieve much lower operating expenses and the duration required to accomplish repetitive activities. However, the study also reveals issues using these technologies, such as data security and retraining costs. In general, this study adds to the knowledge of effectively managing the strategic directions in BPO using AI and RPA integration while providing insights to companies on the approaches towards realizing this type of transformational change. In other words, there has been a gradual accumulation in the evolution of business automation that has characterized the industrial and economic revolution over the centuries.

Cognitive automation; IA; Intelligent Automation; Business Automation; RPA; Robotic Process Automation; RPA integration; Intelligent Business Automation

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2021-0065.pdf

Get Your e Certificate of Publication using below link

Download Certificate

Preview Article PDF

Abhaykumar Dalsaniya and Kishan Patel. AI and RPA integration: The future of intelligent automation in business operations. World Journal of Advanced Engineering Technology and Sciences, 2021, 03(02), 095–108. https://doi.org/10.30574/wjaets.2021.3.2.0065

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