Credit unions and community banks run on a small staff doing a lot of paperwork by hand. That paperwork is where AI earns its keep first, well away from any lending decision.
Where does AI help a credit union or community bank first?
In the back office, where your people lose hours every week.
- Member service drafts. The same questions come in by email and chat every week. A tool drafts the reply from your own answers, and a staff member reads it and sends it.
- Policy and procedure search. Your procedures live in a binder, a shared drive, and three people's heads. A tool that searches your own documents answers "what do we do when" in seconds, with the page it came from.
- Loan file prep. Checking a file against the checklist, flagging what is missing, and drafting the request to the member for the missing pieces. The loan officer still makes the call.
- Marketing. First drafts of the newsletter, the rate promotion, the social post, and the board-approved product description, in your voice.
Where should AI stay out?
Out of the decision itself. Credit decisions, account actions, and anything a member would expect a person to own stay with a person. The tool goes on the employee like a robot suit. It does not sit at the teller line. The same goes for complaints and hardship calls: a member who is behind on a payment talks to a person.
How do we keep member data safe?
Member data stays out of public AI tools. No account numbers, no Social Security numbers, no loan files pasted into a free chatbot. Work that touches member information runs only in tools your compliance officer and your vendor management process have approved. I do not give compliance advice. Your compliance officer decides what is allowed, and the workshop is built so they can say yes or no to each use with the facts in front of them.
What will the examiners and the board want to see?
A written policy, a list of the tools in use, and who approved each one. Boards want to know what it does for members and what it costs. Examiners want to see that you know what you are running and that a person is accountable for it. Start with a one-page policy your staff can follow. See how to write an AI policy for a small company.
What does it cost to start?
A half-day workshop is $1,500 and a full day is $3,500. A half day with your member service, lending, and marketing leads finds where the hours go and ranks the first uses. A full day adds your compliance officer in the room, a draft policy, and a plan the board can read. See AI workshops.
What happens after the workshop?
Your team turns on the first one or two uses with the tools you already have, and I check in at the end of the month. If you want help getting the whole staff using them, that is AI adoption, from $3,500 a month.
Answered by Jared Lukes, Minneapolis. Twenty-five years in brand, UX, and technology, currently holding fractional AI and technology seats at three companies. About Jared.