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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Revolutionizing financial marketing compliance: AI-driven content generation and Review

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  • Revolutionizing financial marketing compliance: AI-driven content generation and Review

Vijayakumar Jayaseelan *

Visvesvaraya Technological University (VTU), India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 1692-1699

Article DOI: 10.30574/wjarr.2025.26.1.1158

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1158

Received on 03 March 2025; revised on 08 April 2025; accepted on 11 April 2025

This article examines the transformative impact of artificial intelligence on financial marketing compliance and content generation processes. The article analyzes the implementation of AI-driven solutions across multiple financial institutions, focusing on the dual-persona approach that combines automated systems with human oversight. The article investigates how AI technology enhances regulatory compliance efficiency, improves content quality, and streamlines approval processes while maintaining strict regulatory standards. Through comprehensive analysis of market data and institutional case studies, the article demonstrates the effectiveness of AI integration in reducing compliance risks, accelerating content creation cycles, and improving customer engagement metrics. The article highlights the significant operational and financial benefits of AI implementation in financial services marketing, including enhanced accuracy in compliance verification, reduced processing times, and improved risk management capabilities.

Financial Marketing Compliance; Artificial Intelligence; Regtech; Dual-Persona Approach; Regulatory

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1158.pdf

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Vijayakumar Jayaseelan. Revolutionizing financial marketing compliance: AI-driven content generation and Review. World Journal of Advanced Research and Reviews, 2025, 26(1), 1692-1699. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1158

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.


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