For credit unions growing member business lending with a small team. Intake, financial spreading, risk narrative and credit memo drafting, so one experienced lender can handle a pipeline that would otherwise need several.
An AI agent for a credit union is software that completes a defined lending or operations task end to end: it reads the inputs, applies your credit union’s own policy and underwriting standards, produces a finished work product, and hands it to a person for review. Unlike a chatbot, it does the work rather than describing it. Unlike rules-based automation, it copes with documents and situations it has not seen before.
For credit unions this matters in a particular way. Most credit unions do not have a large commercial credit department. Often one or two experienced lenders carry the whole member business portfolio, and every hour they spend retyping a tax return or formatting a memo is an hour not spent with a member or on a new relationship. An agent takes the assembly work so that scarce expertise goes where it counts.
The practical test is whether the agent produces something your lender or credit committee would actually use: a completed spread, a drafted memo, a flagged covenant exception with evidence attached. Not a summary. A work product.
Connect the source systems, load your templates and policy limits, run a sample of real files against known outcomes, review the differences and go live with a defined review gate.
The connected workflow from intake through monitoring, with handoffs between agents configured and tested against live volume.
Bring a real member business loan package, the messier the better. We will run it through the intake, extraction, spreading and memo agents and show you the result next to what your team would have produced by hand.
