Predictive Write-Off Risk Agent

The Predictive Risk Agent implements a logistic regression model achieving 0.96 AUC-ROC accuracy for write-off probability prediction. Feature inputs include: compliance issue flags, narrative vagueness scores, rate validation failures, excessive hours indicators, and timekeeper seniority level. The model outputs probability scores (0-1) with explainable feature contributions, enabling prioritized review of high-risk entries. Predictions include quantified financial impact calculations to support business case for intervention.