Goolla, Naresh Babu (2025) Revolutionizing Finance: The impact of generative AI on Automated Lending. World Journal of Advanced Research and Reviews, 26 (2). pp. 2172-2180. ISSN 2581-9615
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Abstract
The integration of Generative AI into automated lending represents a transformative paradigm shift in financial services, revolutionizing every aspect of the lending lifecycle. This comprehensive article explores how GenAI technologies are reshaping credit assessment methodologies, enhancing fraud detection capabilities, elevating customer experiences through intelligent automation, and streamlining regulatory compliance procedures. By examining the synergistic deployment of Natural Language Processing, Computer Vision, Machine Learning, Robotic Process Automation, conversational interfaces, blockchain technology, and predictive analytics, it illuminates the path toward a more efficient, secure, and customer-centric lending ecosystem. The analysis further addresses critical considerations regarding ethical implementation, regulatory alignment, and strategic adoption frameworks that financial institutions must navigate to fully capitalize on GenAI's potential while maintaining trust and compliance in an increasingly digital financial landscape.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1797 |
Uncontrolled Keywords: | Financial Technology Innovation; AI-Powered Risk Assessment; Automated Compliance; Customer Experience Transformation; Intelligent Fraud Detection |
Depositing User: | Editor WJARR |
Date Deposited: | 20 Aug 2025 11:03 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3090 |