BankingX40
Controlled AML/KYC AI output governance

Deterministic assurance for AML/KYC AI generated outputs.

BankingX40 governs AI generated AML/KYC triage outputs using deterministic contracts, QEIv15 structural boundary metrics, hashed assurance profiles, replayable audit evidence, and risk manager reports.

Request a controlled AML/KYC governance run View sample risk manager report

The problem

AI is entering AML/KYC workflows, but regulated outputs need a controlled release path. Financial crime teams need to know what was released, what required verification, what was blocked, why it happened, and whether the decision can be replayed and audited.

The solution

BankingX40 applies an external deterministic control boundary around AI generated AML/KYC outputs.

AML/KYC case → AI generated triage output → structured contract state → deterministic rules → QEIv15 structural boundary metrics → Governance Assurance Profile → RELEASE / REQUIRE_VERIFICATION / BLOCK → replay + audit export + SHA evidence + risk manager report

Proof snapshot

Evidence itemResult
Controlled AML/KYC cases100
Repeats per case3
Official endpoint runs300
QEIv15 changed decisions30
RELEASE → REQUIRE_VERIFICATION15
REQUIRE_VERIFICATION → BLOCK15
Governance Assurance Profiles4
Hard control invariant testsPassed
Independent freeze archive reviewPassed

Not a model judge

BankingX40 does not ask the model to decide whether it is safe. It applies an external deterministic control boundary.

Evidence first

Every controlled run can produce replay, audit export, SHA evidence, and a risk manager report.

Controlled review

Access is provided through a controlled review path, not an unrestricted public playground.