Reduce Losses & Improve Performance in NPA Management

Use Case Description

Employing AI to identify and manage non-performing assets (NPAs) involves using machine learning algorithms to analyse financial data and loan portfolios. AI can detect early signs of potential NPAs by identifying repayment delays or borrowers’ financial distress patterns. Additionally, AI-driven systems can optimise NPA resolution strategies, such as restructuring loans, initiating recovery efforts, or selling distressed assets. This approach helps financial institutions minimise NPA-related losses, improve loan portfolio performance, and enhance overall risk management in their operations.