This course covers Threshold Calibration for Monitoring Metrics, which involves setting monitoring thresholds that appropriately balance sensitivity, risk detection capability, operational practicality, and corrective action responsiveness within Consumer LAP Credit portfolios. It focuses on establishing structured metric calibration frameworks that enable timely identification of emerging risks, collateral concerns, legal issues, and performance deterioration while minimizing false alerts and monitoring inefficiencies. The course evaluates key dimensions such as risk identification, corrective actions, collateral valuation, and legal checks, with each requiring independent validation and documented rationale before any credit action is finalized. It is distinct from broader early warning detection systems, as it focuses on metric threshold calibration, monitoring parameter design, and exposure-level performance tracking controls, rather than predictive deterioration modeling or enterprise-wide early warning frameworks. Within Performance Management, MI & Review Cadence, the credit analyst executes the assessment, completes documentation, and flags exceptions for manager review within Consumer LAP Credit credit files, shaping escalation scope and credit committee priorities.