Automate 24x7 tracking of credit health distress in your SME and corporate borrowers with our AI/ML-powered Early Warning System perfected for Indian Banks and NBFCs.
Ranga
RBI's Financial Stability Report of June 2022 shows their increased focus on reducing NPAs in the Financial sector.
Although our GNPA reached a six-year low of 5.9 percent in March 2022, the stress tests indicate that the GNPA ratio could rise to 8.3 percent by March 2023 if the macroeconomic environment worsens. This risk is already amplified due to the recognized need to prop up MSMEs with easier access to capital as part of the post-pandemic revival.
Degradation of asset quality is one of the most significant risks to the banking system. There is thus an urgent need for banks and NBFCs to reevaluate their credit-risk monitoring practices
By moving to an active monitoring system using technology, Banks and NBFCs can predict and preempt defaults among their borrowers. This can significantly reduce lender's NPA risks.
Lentra's Early Warning System (EWS) collects and analyzes data from a multitude of public and internal sources to score on a variety of leading indicators of financial distress in a borrower.
EWS performs a live 24x7 in-depth credit-risk assessment by creating a real-time financial profile of every borrower with its algorithmic intelligence and continuous risk monitoring.
Additionally, the EWS application provides operational workflows for alerting appropriate relationship managers and central office risk officers to take suitable action. Foreign currency exposure that is not adequately hedged is also tracked in the same application. Through feedback on various aspects of the flagged risks, the application learns and adapts.
Learn how EWS can be a game changer in your credit risk mitigation strategy. Register for the webinar to know more!
