This course introduces the concept of Policy Drift Detection Logic within the Working Capital – Consumer Credit framework. It focuses on establishing a structured framework to identify and monitor gradual divergence between approved underwriting policies and actual credit decisioning practices over time.
Learners will explore key assessment dimensions such as defining the intended underwriting posture, validating adherence to rule-based eligibility criteria, assessing the effectiveness of manual review triggers, and monitoring exception boundaries, with an emphasis on independent validation and well-documented rationale. The course highlights how policy drift can emerge due to repeated overrides, evolving business pressures, inconsistent interpretation of guidelines, or system and process gaps, potentially leading to unintended risk accumulation and weakened credit discipline.
The course distinguishes policy drift detection logic from operational procedure design, emphasizing its role in continuous monitoring, deviation identification, and structured breach response at the exposure and portfolio level, whereas operational procedures govern how processes are executed. Each requires distinct evidence standards, ownership, and approval authority.
By the end of the course, participants will understand how to design and apply policy drift detection mechanisms in practice, particularly within Working Capital Underwriting and Decision Controls. The course also emphasizes the role of the credit analyst in executing structured assessments, documenting observed deviations, and flagging exceptions for manager review within Working Capital – Consumer Credit workflows, ensuring alignment with approved policies and credit committee priorities.