“While automation can enhance efficiency and scalability, NBFCs should not allow themselves to be blinded by these models. It is crucial to recognise that rule-based credit engines are only as effective as the data and criteria upon which they are built. Over-reliance on historical data or algorithms may lead to oversights or inaccuracies in credit assessment, particularly in dynamic or evolving market conditions,” Swaminathan said.
