AI is no longer confined to one system or one department at your credit union. Between fraud scoring, indirect auto decisioning, AI-assisted underwriting, member-facing chatbots, and document classification tools embedded inside core and LOS platforms, most institutions are running more AI than any single team can name off the top of their head. Regulators have noticed, and multiple oversight fronts that examiner guidance, GSE requirements for anyone selling mortgages, and state-level activity are converging on the same question at once: not whether you use AI, but whether you can prove you're governing it.
The good news is that most compliance and QC teams already own the muscle this requires.
This guide lays out five practical steps a credit union can take immediately, without new headcount or a finished regulatory landscape, to move from reactive to exam-ready.
What you'll walk away with:
- How to build a complete AI/ML inventory
- What examiners are asking and how to answer it credibly
- A framework for risk-tiering AI tools instead of treating every system the same
- How to extend existing vendor management into AI-specific due diligence
- A short self-assessment to run before your next exam cycle