The Rise Of AI-Driven Process Automation In Regulated Industries

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Detalles Bibliográficos
Publicado en:	Journal of International Crisis and Risk Communication Research vol. 8, no. S7 (2025), p. 54-60
Autor principal:	Ahmad, Anwar
Publicado:	Nicholson School of Communication and Media at the University of Central Florida
Materias:	Customer services Accuracy Technology adoption Decision making Financial statement analysis Natural language processing Compliance Automation Documents Regulated industries Financial services Generative artificial intelligence Financial institutions Banking Case studies
Acceso en línea:	Citation/Abstract Full Text - PDF
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Descripción
Resumen:	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.
ISSN:	2576-0025
Fuente:	Public Health Database