Manasi Information Technologies Inc., USA.
World Journal of Advanced Research and Reviews, 2025, 26(01), 1067-1074
Article DOI: 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
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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.
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