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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 Finance: The impact of generative AI on Automated Lending

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  • Revolutionizing Finance: The impact of generative AI on Automated Lending

Naresh Babu Goolla *

IMR Soft LLC., USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 2172-2180

Article DOI: 10.30574/wjarr.2025.26.2.1797

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1797

Received on 02 April 2025; revised on 11 May 2025; accepted on 13 May 2025

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. 

Financial Technology Innovation; AI-Powered Risk Assessment; Automated Compliance; Customer Experience Transformation; Intelligent Fraud Detection

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1797.pdf

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Naresh Babu Goolla. Revolutionizing Finance: The impact of generative AI on Automated Lending. World Journal of Advanced Research and Reviews, 2025, 26(2), 2172-2180. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1797

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