Six flagship modules for building, governing, and defending an ECL programme.

Set scope, ownership, measurement routes, review cadence, and evidence expectations before model complexity takes over the conversation.

Create the data foundation for ECL through source mapping, segmentation logic, reconciliations, exceptions, and readiness checks that reviewers can trust.

Establish significant increase in credit risk through quantitative and qualitative indicators, backstops, cure logic, and review workflow that management can defend.

Translate policy into model architecture using PD, LGD, EAD, term structure logic, calibration discipline, and portfolio fit that remain explainable.

Capture emerging risks and model limitations in a controlled way, then connect adjustments to movement analysis, approvals, and disclosure-ready narrative.

Support maker-checker workflow, reconciliations, version awareness, approval records, and evidence packs that keep ECL repeatable and review-ready.