The realm of non-bank credit underwriting is undergoing a dramatic change fueled by intelligent automation. Traditional systems have been labor-intensive , relying heavily on subjective assessment . Now, machine learning are utilized to review significant quantities of data , improving efficiency and lowering potential losses. This innovative metho