Oakleaf’s use of AI in analyzing underwriting narratives and other unstructured documents was featured recently by Asset-Backed Alert.
Oakleaf’s solution is aimed at identifying underwriting defects, exceptions, or biases, more efficiently and accurately. In a landmark project, our AI team analyzed 3,800 loans with over 5,700 defects, helping to identify underwriting weaknesses and studying loan attributes to see if a relationship exists. This approach could potentially help identify performance issues related to underwriting exceptions given the availability of data.
