Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

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

eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

AI-augmented decision-making in financial services

Breadcrumb

  • Home
  • AI-augmented decision-making in financial services

Swapna Reddy Anugu *

Manasi Information Technologies Inc., USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 1067-1074

Article DOI: 10.30574/wjarr.2025.26.1.1169

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1169

Received on 01 March 2025; revised on 07 April 2025; accepted on 10 April 2025

Artificial intelligence has fundamentally transformed decision-making across the financial services industry. By integrating machine learning with human expertise, financial institutions now leverage AI systems to conduct real-time risk assessment, detect and prevent fraud, optimize investment portfolios, and provide enhanced decision support to professionals. These AI-augmented approaches enable faster analysis of transaction data, more accurate identification of patterns and anomalies, improved forecasting capabilities, and data-driven investment strategies. While delivering significant advantages in operational efficiency, credit risk management, fraud prevention, and investment performance, the industry still faces challenges related to regulatory compliance, model transparency, and data privacy. Looking forward, explainable AI, federated learning, natural language processing, and quantum computing represent promising directions for further advancing financial decision-making capabilities 

Financial Decision-making; AI-driven Risk Assessment; Portfolio Optimization; Fraud Detection; Explainable AI

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1169.pdf

Preview Article PDF

Swapna Reddy Anugu. AI-augmented decision-making in financial services. World Journal of Advanced Research and Reviews, 2025, 26(01), 1067-1074. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1169.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

Footer menu

  • Contact

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution