Replacing a static, manually-set risk classification with one learned from which accounts actually produced errors, adjustments and audit findings.
Supervised classification or weighted scoring over account features — type, balance volatility, historical adjustment frequency, entity
pandas weighted score from historical error counts; scikit-learn RandomForestClassifier for the modelled version