Address CECL and IFRS 9 accounting standards with a fully governed, automated workflow

SAS Allowance for Credit Loss highlight

SAS Allowance for Credit Loss

Take your IFRS 9 and CECL process to a new level with a fully governed, automated workflow that includes highly efficient and precise computations.



Key features

Effectively address the requirements of CECL and IFRS 9 accounting standards and overcome business challenges related to the calculation of expected credit loss. A role-based, workflow-driven process enables users to contribute to the results while generating auditable artifacts along the way.

Model execution

Supports a wide range of models and engines.

Manual adjustments. 

Includes rule-based and many other post-model adjustment techniques.

Attribution analysis & simulations 

Lets you use configurable attributes to explain provisions changes and run what-if analyses. 

Workflow and governance

Provides an orchestrated process with fully transparent and repeatable calculations.

Greater efficiency

Provides an optimized and governed way to store data and conduct high-performance and transaction-level analysis.


Chartis RiskTech100® 2025 Awards

SAS ranks #2 overall – with six category wins

Chartis RiskTech 100 2025 #2 Award logo
Chartis RiskTech 100 2025 AI in Banking Award logo
Chartis RiskTech 100 2025 Model Risk Management Award logo
Chartis RiskTech 100 2025 Balance Sheet Risk Management Award logo

SAS is ranked second overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested six technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 and Model Risk Management.


Recommended resources for SAS Allowance for Credit Loss

Article

IFRS 9 and CECL: The challenges of loss accounting standards

Solution Brief

Current Expected Credit Loss (CECL) Process Optimization

White Paper

Risk Aware Finance and the Changing Nature of Credit

Insights

Risk Management Insights


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