Six flagship modules for building, governing, and defending an ECL programme.
Use the modules as a practical route through blueprint, data, stage governance, modelling, overlays, disclosures, controls, and review-ready execution.
Move through the ECL operating model in sequence.
Each module connects the methodology to a practical operating or review workflow.
ECL Programme Blueprint
Set ECL scope, ownership, measurement routes, review cadence, and evidence expectations before model complexity or audit scrutiny takes over.
Data Architecture, Integrity and Segmentation
Create the data foundation for ECL through source mapping, segmentation logic, reconciliations, exceptions, and readiness checks that reviewers can trust.
SICR Framework and Stage Transfer Governance
Establish significant increase in credit risk through quantitative and qualitative indicators, backstops, cure logic, and review workflow that management can defend.
PD, LGD and EAD Modelling Framework
Translate policy into PD, LGD, EAD, term structure logic, calibration discipline, and portfolio-fit evidence that reviewers can challenge.
Overlay Framework and Disclosure Narrative
Capture emerging risks and model limitations in a controlled way, then connect adjustments to movement analysis, approvals, and disclosure-ready narrative.
Controls, Documentation and Audit Readiness
Support maker-checker workflow, reconciliations, version awareness, approval records, and evidence packs that keep ECL repeatable and review-ready.
Connect each module to your next ECL reporting cycle.
These Expected Credit Loss modules help finance, credit risk, modelling, and review teams organise the work behind an Ind AS 109 or IFRS 9 allowance. Use them together when designing a programme, or start with the area that needs attention before your next reporting date.
Start with scope, ownership, and reliable data
The programme blueprint establishes which exposures are covered, how responsibilities are assigned, and where decisions will be reviewed. Follow it with the data architecture module to connect source systems, portfolio segmentation, reconciliations, and exception handling. Together, these modules help teams identify missing inputs and unclear ownership before calculation begins. Record the decisions, evidence gaps, and responsible owners as a practical action list for the reporting cycle.
Connect staging decisions to model assumptions
Read the SICR and stage governance module alongside the PD, LGD, and EAD modelling framework. This connects the assessment of credit deterioration with the assumptions used to estimate loss. Review quantitative indicators, qualitative evidence, cure decisions, parameter choices, and portfolio fit as related parts of the same process. The aim is a clear explanation of how an exposure reaches its stage and how its allowance is measured.
Explain adjustments and retain review evidence
The overlays and disclosures module helps connect emerging risks and model limitations with documented adjustments, approvals, and the reporting narrative. Use the controls and audit readiness module to organise version records, maker-checker reviews, reconciliations, and supporting evidence. A reviewer should be able to trace a reported result back to the data, assumptions, changes, and approvals that produced it, and understand why the allowance moved between reporting dates.
Choose the next level of detail
Each module provides an overview of an operating workflow. For deeper discussion of individual methodology topics, explore the pillar articles linked from the module. Use the resource checklists to structure an internal review, or open the platform walkthrough to see how data, configuration, calculation, and reporting fit together in the software. Bring your portfolio scope and current process gaps to a discussion when you need help choosing the next implementation step.