For years, AI in banking was framed as a future opportunity – something to pilot when budgets allowed or when members or customers were ready. That future has arrived.
Today, credit unions and community banks – many with small IT teams and limited resources – are already proving how AI-first service delivers faster, smarter support. They’re reducing call volumes, cutting support costs, preventing fraud, and improving both customer experience and staff satisfaction.
This report highlights seven of the most impactful AI-first use cases, alongside real results from credit unions and community banks. Each story shows how institutions are solving urgent service challenges and opportunities with AI.
How Great Lakes Credit Union used Voice AI to automate 60-80% of calls and eliminate outsourcing - while improving member satisfaction.
How Bank of Guam achieved 76% chat containment and delivered real-time, bilingual support with AI-powered chat.
How Dupaco Community Credit Union uses AI-driven authentication with biometrics and caller ID forensics to stop fraud in real time.
How WEOKIE replaced its legacy phone system with Voice AI, driving faster service and driving down wait times to only 30 seconds.
How Neighborhood Credit Union automated 90% of calls and eliminated costly after-hours outsourcing with AI..
How WEOKIE relieved pressure on agents by automating 66% of calls - improving morale and cutting burnout-related attrition.
“The only way we’re going to compete with AI fraudsters is to combat it with AI itself. With interface.ai’s industry-unique authentication approach, we are now using the same type of security technology as the Mastercards and Visas of the world – in our own contact center. “
Todd Link | Chief Risk Officer