MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641085590 A) filed by Saveetha Engineering College on July 13, 2026, for Explainable Ai System For Transparent Loan Approval Decisions.
Inventor includes Dr. M. Ganesan Alias Kanagaraj.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT The present invention discloses an Explainable Al System for Transparent Loan Approval Decisions that enhances the transparency, accountability, and reliability of automated credit evaluation by integrating explainable artificial intelligence into the loan approval process. The system receives loan applications through banking systems, digital lending platforms, or financial service portals and evaluates applicant information, including income, credit history, employment details, debt obligations, repayment behavior, banking transactions, and collateral information, using an Al-based credit evaluation engine. An integrated Explainability Engine identifies and communicates the key factors influencing each lending decision in a clear, human-understandable format. The invention further incorporates a Confidence Evaluation Module to assess prediction reliability, a Bias Detection and Faiiness Assessment Module to identify potential algorithmic bias, and a Regulatory Compliance and Policy Validation Module to ensure adherence to institutional lending policies and applicable financial regulations. A Decision Recommendation Engine generates transparent outcomes such as approval, conditional approval, manual review, or rejection, while a Decision Audit Repository securely stores decision histories, explanations, confidence scores, and compliance records for governance and regulatory purposes. The invention is applicable to banks, non-banking financial companies, digital lending platforms, fintech organizations, and other financial institutions, providing a scalable, explainable, and auditable framework that improves customer trust, supports responsible Al adoption, strengthens regulatory compliance, and enhances the quality of automated loan approval decisions.
Disclaimer: Curated by HT Syndication.
