Prepare for a smooth transition to CECL while automating your current ALLL calculation with our CECL ready solution that also includes a scalable credit datamart.
The ALLL solution is an integrated yet modular solution to measure, monitor, manage and report a bank’s Allowance for Loan and Lease Losses. Designed to be audit and examination-ready, the solution meets or exceeds all regulatory requirements and is equipped with a powerful insights module to help C-Level executives with strategic business decisions. The solution offers support for both Historical Loss Rate and Migration Analysis methods. It is also compliant with multiple CECL models.
This method uses historical loss information to arrive at historical loss rates. The current period loss rate is estimated by taking a weighted average of rolling period historical loss rates. Adjustments for current conditions are done using Q&E Factors.
A configurable, workflow-based solution with support for Data Review, Data Adjustments, ALLL Calculations and Closure.
Complete auditability of the end-to-end process. Integrated solution with features like Data Upload, Collateral Management, Account Classification and more.
Pre-packaged regulatory and management reports with the capability for customized reports based on your bank’s requirement.
Integrated document repository for instant access to all reference documents.
Scenario management, configurable look-back period and flexible methodology selection for back-testing.
Prepackaged 9 recommended Q&E Factors, configurable based on business needs. Adjust Loss Rates based on management judgement of lending policies, industry trends, bank policies, etc.
Flexible data definitions and categorizations to create risk grades & cohorts.
Efficient collateral management and payment schedule generation integrated into FAS 114 accounting.
Lays the foundation for CECL from both data and calculation perspective.
Automated, process oriented, accurate estimates using CECL models as per the proposed FASB solution methodologies.
Analyze peer data and macroeconomic factors to predict the impact on expected loss rates.
Qualification of Q&E factors to facilitate prudent, reasonable and supportable forecats.
Configurable segment and cohort definition management system with integrated features to reclassify data as per CECL draft guidlines.
Comprehensive data model to store granular data custom built for community banks.
Automated, process oriented, auditable reporting for management and disclosures.
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