Multiple credit unions tapped fintechs for AI-driven lending, personal finance and digital banking solutions over the past several weeks.
Technology consultant Cornerstone Advisors reported that 59% of credit unions had deployed AI heading into 2026, with an additional 22% planning to deploy this year, according to its February release.
Apprehension concerning vendor selection hindered AI integration at the end of 2025, with 36% of credit unions lacking any fintech partners, according to the report. However, nearly half of credit unions plan to expand fintech partnerships in 2026.
MidWest America taps Algebrik
MidWest America Federal Credit Union selected fintech Algebrik for AI-powered lending solutions, according to a June 29 Algebrik release.
Algebrik designed its platform to streamline tasks such as identity verification, income verification, credit analysis and queue management, co-founder and Chief Executive Pankaj Jain told FinAi News.
“We have inserted various AI interventions to remove friction from the process and to help either the members get a decision on the funding as fast as possible or help the credit union staff process the loan by taking on a lot of tasks that are repetitive in nature,” he said.
In fact, “AI interventions” can help underwriters process loans in less than 10 minutes, Jain said, adding that the company has built several “agentic modules” into its platform.
Fort Wayne, Ind.-based MidWest America chose Algebrik largely because the platform unifies systems across the $1 billion credit union’s lending infrastructure, Jain said.
This connectivity, he said, translates to:
- Improved data-driven analytics;
- More accurate cross-selling;
- Increased look-to-book ratios; and
- A better overall experience for employees and members.
GHS Federal selects Appli
GHS Federal Credit Union has partnered with fintech Appli, which provides AI-powered financial calculators, according to a June 24 release.
The member-facing calculators help credit unions turn their websites into a “shopping cart” with “personalized action items” and “personalized calls to action,” Appli founder and CEO Tim Pranger told FinAi News
For example, the tool evaluates metrics such as income, credit tier, existing debt and desired loan amount and provides estimated monthly payments and interest rates for loans, home equity products and other financial products, Pranger said.

The platform also features a gen AI component that provides a “personalized analysis” of a member’s qualifications and next steps they can take, he said.
Appli uses an OpenAI LLM that “takes all of those inputs and then explains that outcome to them,” Pranger said.
It typically takes one to two weeks for credit unions to fully integrate the calculators, Pranger said, noting that GHS Federal already is seeing a 15% conversion rate with the tool.
Mocse CU adopts Narmi
Modesto, Calif.-based Mocse Credit Union has tapped Narmi for AI-driven digital banking solutions, according to a May 27 release.
Narmi uses AI for enhancements aimed at clients and staff alike, the company’s co-founder Nikhil Lakhanpal told FinAi News.
For example, the fintech uses model context protocol integration allowing members and businesses to link their bank accounts to their own LLMs — such as Claude or ChatGPT — in a secure way, leading to deeper and more personalized financial analysis, Lakhanpal said.
This connection also helps members avoid consultation fees, he added.
Regarding staff-facing applications, Narmi offers AI tools for fraud detection, marketing, customer service and general decision-making support, Lakhanpal said.
Mocse also chose Narmi because the platform seamlessly integrates with existing systems while centralizing the $430 million credit union’s processes and data streams, he said.
“A lot of these financial institutions want to improve their digital experience, but they don’t have the bandwidth to rip out back office systems in that experience,” Lakhanpal said.
Michigan First opts for Scienaptic
Michigan First Credit Union has selected Scienaptic, which uses AI to automate lending workflows, according to a June 29 release.
Scienaptic’s AI enables the $1 billion credit union to “move beyond the limitations of traditional credit scores,” Michigan First Chief Lending Officer Jeff Fitrzyk said in the release.
“It will give our underwriting team the deep, data-driven insights needed to say, ‘Yes’ more often, delivering instant decisions and tailored support that truly makes a difference in our members’ lives,” he said.
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