Output behavior must be measured before sensitive workflow entry.
Across current validation tracks, BankingX40 repeatedly identified AI-generated AML/KYC-style outputs that required verification or blocking under conservative governance contracts.
This does not prove that all AI outputs are unsafe. It proves that output behavior must be measured before sensitive workflow entry.
Private validation across AI-output governance tracks.
These tracks test BankingX40’s ability to govern externally generated AI outputs and external synthetic AML source-derived cases with replay, audit, SHA, metric-lineage, input-hash, and raw-output-hash evidence.
| Validation track | Cases | Complete evidence | Final distribution | QEIv18 deltas |
|---|---|---|---|---|
| OpenAI external AI-output governance | 500 | 500 / 500 | 178 BLOCK / 322 REQUIRE_VERIFICATION | 178 |
| Claude external AI-output governance | 500 | 500 / 500 | 77 BLOCK / 423 REQUIRE_VERIFICATION | 77 |
| External synthetic AML source-derived governance | 10,000 | 10,000 / 10,000 | 2,800 BLOCK / 7,200 REQUIRE_VERIFICATION | 2,800 |
Interpretation: The main metric is QEIv18 decision delta. A decision delta means BankingX40’s deterministic contract plus QEIv18 boundary layer changed the rule-only governance state, typically toward verification or blocking when structural pressure appeared.
A structured evidence artifact for institutional review.
A buyer receives a structured review artifact that separates report contents from review basis, boundary, availability, and verification.
BankingX40 output-governance evidence record.
A structured artifact for reviewing decision distribution, QEIv18-changed decisions, compute-lineage evidence, replay / audit / SHA availability, and evidence boundary.
Report contents
- Decision distribution
- QEIv18-changed decisions
- Compute-lineage evidence
- Replay / audit / SHA
Synthetic controlled AML/KYC AI-output governance data.
Not bank production data.
Replay, audit export, SHA attestation.
Verifier rerun and artifact spot-check recorded.
Governance-routing sensitivity, not model-provider superiority.
This demonstrates governance-routing sensitivity, not AML detection uplift, model-provider superiority, real-bank validation, regulator approval, or production readiness.
Deterministic output governance
Controlled review of BankingX40 output-governance behavior, replayable evidence review, audit export review, SHA verification review, and governance-report review.
No public benchmark claim
No AML detector performance, no model-provider ranking, no live-bank validation, no regulator approval, and no production deployment authorization.