CORAA
CORAA University · ଟୁଲ୍· विद्यालय

ଆପଣଙ୍କ AI ଅଡିଟ୍-defensible?

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

AI ଉପକରଣ ପ୍ରୋଫାଇଲ
NFRA ପ୍ରତିରକ୍ଷଣୀୟ ମୂଲ୍ୟାୟନ
Rate each ପ୍ରଶ୍ନ: Not at ସବୁ (1) · Partially (2) · Mostly (3) · Fully (4)
ସ୍ତମ୍ଭ 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?
ସ୍ତମ୍ଭ 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?
ସ୍ତମ୍ଭ 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)?
ସ୍ତମ୍ଭ 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?
ଡିଜାଇନ ଦ୍ୱାରା ପ୍ରତିରକ୍ଷଣୀୟ

90%+ ସ୍କୋର ପାଉଥିବା AI ଉପକରଣ ଚାହୁଁଛନ୍ତି - ନିର୍ଦ୍ଧାରଣ-ଭିତ୍ତିକ, ଟ୍ରେସ-ଯୋଗ୍ୟ, ଡକ୍ୟୁମେଣ୍ଟ-ଯୁକ୍ତ।

CORAA is built for NFRA ଅନୁପାଳନ from ଦିନ one. See it run against your own ଏଙ୍ଗେଜମେଣ୍ଟ୍.

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