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New report gives credit union boards a decision framework for AI in lending as NCUA names AI a 2026 supervisory priority

Multimodal’s free, vendor-neutral business case includes an ROI model by asset tier, a governance checklist, a 90-day rollout plan, and a board resolution template.

New York, NY (June 26, 2026) |

Multimodal, an agentic workflow automation company serving financial institutions, has published The Board-Ready AI Business Case for Credit Union Lending Automation, a free framework for credit union boards and lending leaders evaluating AI in lending. It is available now at multimodal.dev.

The report arrives as oversight tightens. The NCUA’s January 2026 Supervisory Priorities named AI and emerging technology in the examiner checklist for the first time, and its updated AI Resource Hub points credit unions to the NIST AI Risk Management Framework.

It also quantifies the cost of standing still. The average cost to originate a mortgage has reached roughly $11,600, up about 35% in three years, while credit union auto lending share slipped from about one in four loans in 2022 to one in six new-vehicle originations by mid-2024.

Drawing on deployments at FORUM, Centris, and Del-One Federal Credit Unions, the report maps AI’s impact across five financial levers and provides directional ROI ranges for ~$1B, ~$3B, and ~$7B credit unions. It includes a governance checklist aligned to the NIST AI RMF and SR 11-7, a 90-day implementation path with board approval gates, a vendor landscape across the lending value chain, a board resolution template, and answers to the ten questions boards ask most about AI in lending.

“Most credit union boards are not debating whether AI works in lending. They are asking how to adopt it responsibly and prove the return. This report gives them that case in board-ready form,” said Ankur Patel, CEO of Multimodal.

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