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All In Credit UnionwithZest AI

How All In Credit Union uses Zest AI

ConfirmedVendor case study · Checked Oct 24, 2026
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The use case: how All In Credit Union deploys Zest AI

All In Credit Union uses Zest AI's automated underwriting to make lending decisions with less manual work, and has extended the borrower insights into front-end marketing for pre-qualification and cross-selling of loans through a WithClutch integration.

In the customer’s words

From the beginning of our partnership, Zest AI has been wonderful to work with. In addition to the day-to-day support we receive from their team, their technology allows us to approve loans we wouldn’t have approved before. From making policy suggestions to proactively finding ways to optimize our processes, their commitment to our goals helps us find ways to make better decisions and better serve our members.
Todd Peeples, SVP Sales and Lending, All In Credit Union — Source
What’s nice about LuLu is it’s been purpose-built AI from the get-go. That’s a big advantage when it comes to extracting actionable insights. To have a solution where anyone can use everyday language to dive into the data—and get immediate, reliable results without waiting—that is huge.
Todd Peeples, SVP Sales and Lending, All In Credit Union — Source, captured Oct 16, 2026

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Go straight to the source

Based on Zest AI’s published case study. We check the public evidence; the results are reported by the vendor.

zest.ai
Last checked
Oct 24, 2026
zest.aiCaptured Zest AI case study about All In Credit UnionOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 70%Checked

    Printed word for word on the page, near the name of All In Credit Union.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of All In Credit Union.

  • All In Credit Union uses Zest AIChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

Throughout their partnership with Zest AI, the team has worked to adjust policy cutoffs and guardrails to create a touchless, efficient, and accurate lending process, leading to 70% of all consumer lending decisions being automated.
From the page. zest.ai