Credit Union of America Empowers Frontline Support with Employee AI

The challenge

Credit Union of America needed a faster way for employees to access internal knowledge during member interactions. Important documentation was spread across network drives, shared folders, and intranet pages, making it difficult for staff to quickly find accurate answers.

As a result, employees often had to search through multiple systems or rely on colleagues for help – slowing down service and creating friction for both staff and members.

The outcome​

By implementing interface.ai’s Employee AI, Credit Union of America centralized internal knowledge and gave employees instant access to policies, procedures, and operational guidance during member interactions . 

The AI-powered assistant became a single source of truth for frontline staff, helping employees quickly find answers, improve service consistency, and reduce day-to-day friction in their roles. As adoption grew across the organization, the credit union saw improvements in member satisfaction, as well as employee retention.

The key results
90% -> 24%

Reduction in agent turnover

4.73 / 5

Member satisfaction score

ABOUT CREDIT UNION OF AMERICA

Founded in 1935 during the Great Depression, Credit Union of America was built on a mission to provide stability and community-centered financial support. Today, the organization serves more than 90,000 members and manages more than $1.5 billion in assets. 

Guided by its “Friendly Philosophy,” the credit union continues to invest in modern technologies that strengthen service while supporting the employees who deliver it.

THE SOLUTION: EMPLOYEE AI

Credit Union of America launched Employee AI in late 2023 to transform how frontline staff access internal knowledge and support members.

Instead of searching through multiple systems, employees can ask questions in a conversational interface and instantly receive relevant policies, procedures, or guidance. The assistant pulls from the credit union’s internal documentation to deliver accurate answers in seconds.

To ensure strong adoption, the rollout involved employees from the start. Austin Hamann, Employee Engagement Lead at Credit Union of America, worked with departments across the organization to identify common questions and gather the documentation needed to support them.

The team began with an alpha testing phase involving frontline employees, allowing staff to test the system using real questions and provide feedback. This helped identify knowledge gaps and refine responses before the broader rollout.

We take a very human approach to AI. It’s not about replacing people – it’s about empowering our employees with the information they need so they can better serve our members.”

Austin Hamann,
Employee Engagement Lead, CU of America

After testing, Employee AI was introduced department by department, starting with member support teams and expanding across branch and back-office operations. Today, nearly the entire organization has access to the platform, and it is also introduced to new hires during onboarding.

To further encourage adoption, the credit union launched a monthly incentive program rewarding employees who actively use the system and provide feedback. This feedback loop helps continuously improve the knowledge base and expand the range of questions the AI can answer.

THE RESULTS: STRONGER MEMBER EXPERIENCE AND HIGHER AGENT RETENTION

Employee AI quickly became a daily tool for frontline employees at Credit Union of America. Staff now ask an average of 15 to 25 questions per day through the platform, allowing them to quickly find information without searching through multiple systems or asking colleagues for help.

The faster access to accurate information has helped improve the member experience. Credit Union of America recently achieved a 4.73 out of 5 member satisfaction score.  Employees can quicklyverify policies, confirm procedures, and resolve member questions during the interaction, helping ensure responses are both accurate and consistent across the organization.

Members expect quick answers, but they also expect them to be accurate and up to date. When our frontline staff can access the right information instantly, it leads to a much better member experience.”

Austin Hamann,
Employee Engagement Lead, CU of America

This improved knowledge access and accuracy have also contributed to a stronger employee experience. Turnover in the member support department – which had previously reached 90% – has dropped to 24%. Employee AI removes much of the friction that frontline staff previously faced during member interactions. Instead of searching across multiple systems or escalating questions internally, agents can instantly access the information they need, allowing them to resolve issues faster and feel more confident supporting members.

When our agents want to help a member but can’t quickly find the answer, it’s frustrating for the agents and for the members. Giving them instant access to the information they need helps everyone – a more satisfied agent and a happier member.”

Austin Hamann,
Employee Engagement Lead, CU of America
THE FUTURE

Looking ahead, Credit Union of America plans to continue expanding its use of Employee AI. The credit union aims to capture even more institutional knowledge within the system – including complex processes that historically existed only through word-of-mouth. By continuing to evolve its AI strategy, Credit Union of America is strengthening both the employee experience and the member experience.

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