Free evidence-readiness lab Credit unions

Could you reproduce the evidence behind one AI decision?

Choose a real AI use case. Test six proof domains. Leave with a focused 30, 60, and 90-day evidence plan you can take into management, vendor, board, and examination-readiness conversations.

Run the evidence replay See the method

The question beneath the checklist

Governance becomes credible when the record can be replayed.

For a credit union, the useful question is not whether an AI policy exists. It is whether the institution can reconstruct what the system does, who owns it, what the vendor or model changed, how results were tested, where people intervened, and what management saw.

This lab scores evidence reproducibility, not abstract maturity. It applies NCUA's technology-neutral supervisory posture, active third-party guidance, the voluntary NIST AI Risk Management Framework, and Treasury's financial-services AI risk resource to one realistic use case.

Evidence replay

Start with the use case, then test the record.

Use the answers you could support today, not the controls you plan to build.

01 Choose one AI use case The report changes its evidence lens for each scenario.
02

Tune the report to your role

Optional. This changes emphasis only and does not ask who you are.
03

Rate six evidence domains

Ready means a reviewer could retrieve and understand the current record now.
1 Inventory and accountable ownership

There is a current record of the use case, purpose, owner, vendor or model, users, affected members, and decision authority.

2 Data flow and vendor boundary

The record shows what data enters, leaves, persists, trains, or reaches subproviders, plus contract rights and exit expectations.

3 Testing and validation

Tests match the actual use, material risks, member impact, failure modes, and acceptance thresholds, with results and exceptions retained.

4 Human oversight and member impact

People know when and how to review, override, escalate, explain, correct, and provide an alternative path for affected members.

5 Change, monitoring, and incident history

Version changes, performance signals, complaints, overrides, incidents, vendor notices, and corrective actions can be reconstructed.

6 Board, management, and examination records

Approvals, risk acceptance, reporting, review cadence, issue ownership, and prior challenge are dated, attributable, and easy to retrieve.

Ready to replay the record? Six answers generate one private, downloadable plan.

Method and boundaries

A readiness lens grounded in current primary sources.

The score is simple by design: ready is 2, partial is 1, and missing is 0. A score of 9 to 12 is reproducible, 5 to 8 is partial, and 0 to 4 is not yet defensible.

01

One use case

Broad program averages hide the record that fails under challenge. The replay stays at the level of one real system or use.

02

Observable evidence

The answers describe artifacts a reviewer can retrieve and interpret, not intentions or undocumented practice.

03

Prioritized repair

The result sequences ownership and containment first, then validation, monitoring, and durable governance records.

Official sources

Read the underlying guidance directly.

NCUA states that it has no AI-specific regulation and applies existing technology-neutral requirements. NIST and Treasury resources are voluntary frameworks. This lab is not legal advice and not an audit, certification, supervisory opinion, or guarantee of an examination result.

Questions

What the replay does, and what it does not.

What does the AI Regulatory Evidence Replay Lab assess?

It assesses whether a credit union can reproduce the current evidence behind one AI use case across six domains: inventory and ownership, data and vendor boundaries, testing, human oversight, monitoring and incidents, and governance records.

Does the lab store or send my selections?

No. The lab runs entirely in your browser. It does not send, store, or retain your selections, and it does not ask for personal or institution-identifying information.

Is the result legal advice or an NCUA examination opinion?

No. It is a readiness aid, not legal advice, an audit, a certification, an NCUA opinion, or a guarantee of any examination or compliance outcome.

Which sources inform the replay?

The replay uses NCUA's AI resource and active third-party letters, the voluntary NIST AI RMF Core, and Treasury's Financial Services AI Risk Management Framework as organizing lenses.

AI governance for credit unions

See how the evidence fits the full supervisory picture.

Explore our credit-union AI governance guide for the current NCUA posture, use-case control map, and evidence expectations.

Read the credit-union guide