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Five Gaps. Five Modules. One Framework.

Basel III.1 has five critical gaps when applied to AI credit risk:


1. Validation: How do you validate AI models? No standardized methodology.

2. Pro-Cyclicality: AI trained on rising markets is most cautious in downturns. Amplifies cycles.

3. Explainability: Black-box models violate Basel's requirement to "understand" your models.

4. Stress Testing: How do you stress test models predicting outside their training distribution?

5. Audit Trails: Continuous model evolution makes traditional audit trails useless.


ACRGA addresses each gap with a dedicated module:

  • ACRGA-VALIDATE

  • ACRGA-CYCLE

  • ACRGA-EXPLAIN

  • ACRGA-STRESS

  • ACRGA-AUDIT


Not theoretical. Practical. Operationalizable within existing governance structures.


The regulatory moment is now. Early adoption is competitive advantage.


 
 
 

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