Abstract

This paper investigates how artificial intelligence (AI) technologies are transforming process automation in regulated industries, with a focus on financial services. We pose the research question: How can AI-driven automation improve operational efficiency while maintaining regulatory compliance in highly regulated sectors? Through a synthesis of industry data, case studies, and architectural analyses, we examine the deployment of intelligent document understanding (IDU), decision orchestration platforms (DOPs), generative AI systems, and AI governance frameworks. Our findings demonstrate that these technologies not only reduce processing time and operational costs but also enhance compliance transparency and auditability. We argue that the convergence of these AI capabilities enables a new paradigm of innovation that aligns with regulatory mandates, offering a replicable model for other regulated domains.

Details

Title
The Rise Of AI-Driven Process Automation In Regulated Industries
Author
Ahmad, Anwar
Pages
54-59
Section
Articles
Publication year
2025
Publication date
2025
Publisher
Nicholson School of Communication and Media at the University of Central Florida
ISSN
25760025
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3236930666
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.