CORAA
CORAA University · Tool· विद्यालय

Is your AI audit-defensible?

Score whether your AI tool can stand up under ICAI / NFRA scrutiny. 12 questions across 4 pillars, Transparency, Consistency, Completeness, Documentation.

AI tool profile
NFRA defensibility assessment
Rate each question: Not at All (1) · Partially (2) · Mostly (3) · Fully (4)
Pillar 1, Transparency & Explainability
1. “Can the tool explain WHY it flagged a specific transaction?
2. “Can you trace every output back to its input data?
3. “Are the rules / algorithms documented and auditable?
Pillar 2, Consistency & Reproducibility
4. “Does the same input always produce the same output?
5. “Are results consistent across different users running the same data?
6. “Is there version control for the tool’s logic / models?
Pillar 3, Completeness & Coverage
7. “Does it process 100% of the population or use sampling?
8. “Does it cover all relevant assertion categories?
9. “Can it handle edge cases (negative amounts, reversals, multi-currency)?
Pillar 4, Documentation & Audit Trail
10. “Does it generate audit-ready documentation automatically?
11. “Is there a complete log of all operations performed?
12. “Can the documentation satisfy SA 230 requirements?
Defensible by design

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