AI ADOPTION FOR RETAIL LOAN PROCESSING AT HDFC BANK

Authors

  • Mrs N RAJANI Author
  • SRINIVASA S Author

Keywords:

Automated Credit Scoring, Machine Learning Algorithms, Loan Underwriting Automation, Risk Assessment Models, Fraud Detection Systems

Abstract

This research delves into HDFC Bank's use of AI for retail loan processing, highlighting how it may boost efficiency and delight customers. By automating risk assessment, credit evaluation, and loan application verification, AI-powered technology has the potential to save a significant amount of time. The likelihood of loan default and approval are both reduced by machine learning algorithms. The research also delves into the ways AI can free up workers' time to concentrate on higher-value activities, allowing them to be more productive overall. When customers have more options and their loans are processed faster, they are pleased overall. Data privacy, regulation compliance, and system integration are supplementary critical factors. The research examines the scalability and cost-effectiveness of AI technology in relation to banking operations. This further demonstrates the significance of AI in maintaining retail banking's competitive edge.

Author Biographies

  • Mrs N RAJANI

    Associate Professor, Department of MBA, VISWAM ENGINEERING COLLEGE (Autonomous), ANGALLU, MADANAPALLE, AP.

  • SRINIVASA S

    MBA Student, Department of MBA, VISWAM ENGINEERING COLLEGE (Autonomous), ANGALLU, MADANAPALLE, AP.

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Published

2026-04-07

Issue

Vol. 2 No. 1 (2026): Volume 2, Issue 1, January-March, 2026

Section

Articles

License

Copyright (c) 2026 Journal of Management Excellence

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