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Gesa to Go AI Score

Credit union in Richland, WA · NCUA charter #68278 · State charter (federally insured)

Legal name: GESA

Latest filed figures, Q2 2026. Every number below comes from the credit union's own NCUA 5300 Call Report.

Total assets$6.82B
Total loans & leases$5.41B
Total shares & deposits$5.68B
Members322,900
Net worth$636M
Net worth / assets9.31%
Loans / assets79.29%
Return on assets (annualized)0.70%
Loan growth (YoY)11.96%
Member growth (YoY)5.27%
Delinquency, all loans (60+ days)0.84%
CharterState charter (federally insured)
Asset band> $5B
NCUA peer groupover $500M
Sponsor typeCommunity (inferred from the name)

AI readiness

AI Score: 4 of 5 stars, AI embedded in workflows

AI makes or shapes decisions inside a business process: AI-driven loan decisioning or underwriting, AI in collections, document processing or onboarding, AI routing in the contact centre.

Gesa Credit Union runs Scienaptic's AI credit decisioning platform, which auto-approves more than half of its vehicle loan applications, so AI is making decisions inside its lending process. Separately, Gesa uses an AI support assistant in Microsoft Teams that draws on its own ticketing and knowledge systems for employees.

Filed signals, from the credit union's own NCUA call report (Q2 2026): uses fintech partners, fintech auto lending, fintech mortgage lending, fintech unsecured lending, fintech lead generation (members), fintech P2P payments, fintech for communication / chat, online membership application, online loan application, online account opening, online loan payments, bill payment, account aggregation, e-signature, e-Statements, external transfers / ACH, remote deposit capture, mobile payments. These are relationships and channels, not AI as such.

The AI Score runs from one to five stars; one star, no public evidence, is never shown on a credit union. Scores and sources for every credit union: CU AI Ready Report.

In the explorer: ten-year history for every metric, balance sheet and income statement drill-downs, percentile rankings against asset-size peers, leaders and board, branches, and growth opportunities.

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