How ready is your credit union for AI?
Take the 12-question readiness self-assessment and get a scored report across five pillars: strategy, data, governance, operations, and people. Built for credit unions, with NCUA expectations baked into every question.
Free governance templates below. No sales call required to use any of it.
Why readiness comes before tools
Most credit unions that struggle with AI did not pick the wrong vendor. They started buying before they knew what their data, policies, and examiners could support. A readiness check answers three questions first:
- Which processes are safe to automate now, and which need governance work first?
- What would an NCUA examiner ask about your AI use, and can you answer today?
- Who owns AI decisions at your credit union, and what happens when a vendor pitches your CEO?
Back-office work is usually the right starting point. Loan document processing, fraud alert triage, and internal knowledge search carry far less member-facing risk than chatbots, and they build the operational muscle you need before anything touches a member.
The self-assessment
Twelve questions, about four minutes. You get:
- A total readiness score out of 36
- Your band: Early, Developing, Established, or Advanced
- A pillar-by-pillar breakdown showing your weakest area
- A concrete next step for your band, not a generic checklist
Free governance templates
Five templates written for credit unions and mapped to NCUA third-party risk guidance. Enter your email once and download everything.
- AI use policy template
- Vendor AI due diligence checklist
- AI model risk register
- Board reporting one-pager for AI initiatives
- Employee generative AI acceptable use policy
Monthly report
Every month we publish a readiness report for credit unions: regulator updates, notable CU deployments, and one original insight from assessment data. Read the latest report.
How Advisor Labs fits
This site is published by Advisor Labs, a consulting firm that works only on AI and does roughly half its work with credit unions. The quiz and templates are free and self-serve. When a credit union wants outside help turning a score into a plan, the usual next step is the Advisor Labs readiness audit, a fixed-scope engagement that validates the self-assessment with document review and interviews.
FAQ
Does NCUA regulate AI use at credit unions?
There is no standalone NCUA AI rule today. Examiners apply existing frameworks: third-party risk management, model risk, information security, and fair lending. Your AI program needs to hold up under those lenses, which is exactly what the governance pillar of the assessment measures.
Should we start with a member-facing chatbot?
Usually not. Member-facing AI carries compliance, reputation, and fair lending exposure that back-office automation avoids. Credit unions that start with internal workflows build governance evidence and staff confidence first, then extend to member channels from a position of strength.
Is the quiz really free?
Yes. Results are emailed to you and shown on screen after you enter your email. We do not sell the list, and the privacy page spells out exactly what we do with it.
Who wrote the templates?
Advisor Labs consultants who run governance workshops for credit unions. Each template notes the NCUA guidance it maps to and where your counsel should review before adoption.
What asset size is this for?
The assessment works for any credit union, though the scoring bands assume you have at least a small internal IT or operations team. Credit unions from $100 million to several billion in assets have used this style of assessment.