WEBVTT

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Credit union membership is growing.

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But most credit unions aren't sharing
in that growth.

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New numbers show the gap.

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Also this week: AI moves deeper into
everyday banking, and a payments

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project gets a clearer path to launch.

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This is CUAI Weekly.

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Let's start with the membership
picture.

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The NCUA released its second quarter
state level report on September

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23rd. Across federally insured credit
unions, membership rose

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overall. Yet about 56% of institutions
had fewer members than a

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year earlier. Those two things can
happen together.

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Growth across the system doesn't mean
growth at the typical institution.

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The median membership change was a
decline of 0.6%.

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Among credit unions losing members,
more than half had less than $50

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million in assets. Geography mattered,
too.

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Vermont and Alaska led median
membership growth.

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Arkansas and Nebraska had the steepest
median declines.

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These are year over year comparisons
through June, not a reading

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of September activity. For a leadership
team, the useful question is where

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your own institution sits within that
picture.

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Compare your membership trend with
similar institutions before treating the

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national growth headline as evidence
that your market is healthy.

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The report describes the divide;

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it doesn't establish what's causing it.

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Now, to AI inside the working day.

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Narmi announced an AI Marketplace on
September 24th, bringing its banking

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tools into one hub.

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The company says the available features
include account opening review

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assistance, message drafting, marketing
tools, and natural language search.

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One example is DecisionAssist.

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It summarizes identity verification
information and makes recommendations

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for staff reviewing new accounts.

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Narmi reports that average review time
fell from eight minutes to less than

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two. That's a vendor reported result,
not an independently verified

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benchmark or a promise for every
institution.

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The distinction between available
features and the roadmap matters here.

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Narmi lists document agents and agentic
secure messaging as upcoming

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capabilities. They shouldn't be treated
as already delivered.

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If you're evaluating tools like these,
ask to see the workflow with your

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own approval rules: what information
the model sees, what the employee

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checks, and how an error gets
corrected.

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A faster review is valuable only if the
decision remains reliable.

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Finally, a development in the plumbing
behind payments.

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The Clearing House selected Quant to
support its On Chain Money Initiative.

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The planned network would let
participating institutions clear and settle

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tokenized deposits: digital
representations of deposits, moved on a

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different kind of ledger.

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The announcement describes connections
to existing payment systems,

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including RTP and CHIPS.

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It targets availability in the first
half of 2027.

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That's a planned launch, not a service
every credit union can switch on

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today. Participation details are still
to come.

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For credit union payments teams, this
is a development to track alongside

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existing real time payment options.

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Ask about access, integration, and the
member or business problem it would

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actually solve before committing
resources.

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Those are three developments from the
week ending September 27th.

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You'll find the original reporting and
sources with this briefing.

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For more industry coverage, visit
Credit Union AI News.