Inventory real use cases
Track the AI tools, workflows, owners, data types, and risk levels already appearing across the institution.
AI governance
AI governance for credit unions.
AI governance for credit unions works best when it is practical: inventory use cases, review vendors, set data boundaries, train staff, document controls, and report meaningful risks without overcomplicating the process.
Practical framework
Build a record your team can discuss.
Create repeatable review
Use consistent intake, evidence, scoring, and memo patterns for vendor and internal AI decisions.
Keep governance current
Refresh guidance as tools, vendor claims, employee use, and regulatory expectations evolve.
CAI workspace
Move from checklist to review packet.
CAI helps credit union teams structure AI vendor intake, evidence gaps, controls, and decision records for internal review.