ASSESSMENT

Request a 25-output AI governance assessment.

Assess AI-generated AML/KYC outputs from an internal model, vendor platform, RegTech-generated output, or compliance copilot before those outputs enter sensitive institutional use.

No customer data. No PII. No live transaction files.

Start with sanitized outputs, not bank data.

Qualified institutions can begin with 25 sanitized AI-generated AML/KYC outputs from an internal model, vendor platform, RegTech-generated output, or compliance copilot.

BankingX40 tests how those outputs behave under a defined governance contract and returns RELEASE / REQUIRE_VERIFICATION / BLOCK distribution, governance deltas, reason-code observations, blocked and verification examples, replay/audit/SHA evidence summary, and an implementation recommendation.

Assessment scope

25-output governance assessment

A first review can begin with 25 sanitized AI-generated AML/KYC outputs from an internal model, vendor platform, RegTech-generated output, or compliance copilot.

Data boundary

No bank data required

No customer data. No PII. No live transaction files. No suspicious-activity details. No production case files.

Returned evidence

Findings with evidence

Decision distribution, governance deltas, reason-code observations, representative verification/block examples, replay/audit/SHA evidence summary, and implementation recommendation.

Select the right review path.

The assessment path is chosen after review-fit and data-boundary confirmation.

Vendor-output assessment

Third-party or RegTech output

Evaluate AI-generated outputs from a third-party vendor or RegTech platform under the institution’s governance boundary.

Internal AI workflow assessment

Internal model or copilot output

Evaluate AI-generated AML/KYC outputs from internal copilots, LLM pilots, or agentic workflows.

Pre-deployment assessment

Before workflow release

Identify which outputs would be released, verified, or blocked before a workflow goes live.

Reference evidence review

Existing validation package

Inspect the private evidence package and accepted validation layers.

Institutional test run

Larger non-production output set

Run a larger approved non-production output set after data-boundary confirmation.

Strategic review

Governance integration path

Evaluate BankingX40 for private sandbox, deployment discussion, or strategic review.

What happens after a request.

BankingX40 assessment starts with review fit and data-boundary confirmation before any protected material or output set is reviewed.

1

Founder contact

Email vision@neoamorfic.ai with institution, role, and review interest.

2

Fit review

Confirm bank, advisor, internal AI-governance, model-risk, or financial-crime relevance.

3

Boundary confirmation

No customer data, PII, live transaction files, suspicious-activity details, or production case files.

4

Output set

Begin with 25 sanitized AI-generated AML/KYC outputs.

5

Governance run

Apply the defined governance contract and record decisions.

6

Findings

Return findings, examples, evidence summary, and implementation recommendation.

Request a 25-output governance assessment.

For assessment, institutional review, strategic partnership, vendor-output evaluation, or direct bank licensing discussion, contact the founder.

Anton MJ Tupay

Founder & Visionary, NeoAmorfic

Email Founder

Assessment inputs must stay sanitized.

Assessment inputs must not include customer data, live bank datasets, suspicious-activity details, regulated personal data, confidential model outputs, or protected internal materials unless explicitly approved under a separate private review path.

Data boundary: No customer data. No PII. No live transaction files. No suspicious-activity details. No production case files.