Know Before You Go: How Credit Unions Can Ease into the AI Journey— and Avoid Major Missteps

For most small to mid-sized credit unions, dedicating budget resources specifically for Artificial Intelligence (AI) can be challenging—how do you know what to allocate and for which AI resources or capabilities? At the same time, credit unions know they will eventually need to embrace emerging AI technology in order to keep up, not only with industry standards for efficiency, but also with what members are increasingly looking for in terms of engagement and user experience. When it comes to AI in the credit union space, the questions are many and the prospect of implementing AI can be daunting. However, with the right planning and early success with low-risk AI-based enhancements, credit unions can begin the AI journey with ease and confidence. 

Here are 5 “Know Before You Go” best practices credit unions should pay attention to for easing into AI.

1. Don’t wait, but be careful about going too fast.

Some companies, including credit unions which may sometimes be resource-constrained, are taking a wait-and-see approach when it comes to AI. But that comes with the risk that their wait-and-see stance may turn into wait-and-get-left-behind. It’s true that AI technology is evolving rapidly, but waiting too long to engage with AI won’t make it any easier.

While it’s important to not delay exploring and implementing AI technology, it’s equally important to not go too fast or try to incorporate AI into multiple functions all at once. It’s worth taking the time to conduct valuable due diligence on how AI can improve operations, enhance member experiences or increase efficiencies so that you have full knowledge before committing to anything or adopting specific technology.

Think of AI adoption as training for a marathon, rather than a sprint. In a marathon, you don’t show up without a plan, the right shoes or a nice warm up. In the same way, AI will work best and help you meet your goals only if it is introduced intentionally. Quick wins are nice, but they need to support your overall strategy. Your team will need to build their training base, identify member problems to create meaningful use cases, and gain cross-team alignment. When treated as a marathon, AI becomes a tool that helps credit unions fix real problems, one intentional mile at a time.

2. Decide where specific AI enhancements can be most useful, but also easily integrated

Since it’s not best practice to take on too much too soon with AI, focus your efforts on identifying high-impact, low-risk use cases where AI can deliver quick wins without requiring complex integrations. Adopting chatbot/virtual assistant capabilities can be a great way to start the AI journey with the bonus benefit of providing an immediate improvement to member service and support.

For example, SwitchThink AI Assist is a conversational AI tool designed specifically for credit unions built on the KeyStone core platform. By partnering with boost.ai, a leader in enterprise conversational AI, SwitchThink offers a virtual assistant that understands context, intent and the unique operational needs of credit unions. This easy-to-implement AI solution can handle everything from routine member questions to basic transactional requests via phone or chat, while freeing up human agents to focus on higher value member opportunities. Overall, AI Assist helps deepen member engagement, reduce wait times, lower agent-assisted call volumes and raise operational efficiency in a secure, controlled fashion, delivering maximum accuracy with minimum risk by combining AI with trusted systems.

Beyond chatbots/AI assistants, credit unions can leverage AI to boost efficiency and security as well as enhance marketing and prospecting activity. For example, a staff-facing AI tool can assist your teams in following and identifying procedures and resources while serving members to ensure accuracy and compliant service is being delivered. Similarly, AI-supported fraud detection tools can monitor transactions in real time to spot suspicious activity, prevent account takeovers and strengthen identity verification. To improve marketing efforts, AI-powered pre-qualification tools can identify prospects for home equity loans and other lending products.

3. Clarify business needs and compliance requirements on the front end to avoid costly missteps.  

To get the most out of AI, credit unions should measure success by tracking time saved, member satisfaction, cost reductions and new revenue opportunities that the AI technology will deliver. At the same time, it’s critical to address compliance and data privacy from the start. AI tools must align with regulatory guidelines and offer clear audit trails to ensure transparency. SwitchThink AI Assist provides guardrails to manage and mitigate risks, ensuring controlled and secure behavior and providing full auditability of all generative AI interactions. For instance, it maintains full control by instructing the virtual assistant when it should switch from generative to pre-defined responses and when the interaction should be escalated to a human agent.

Establishing a strong data governance policy—defining who owns the data and setting rules for AI model training and updates—helps maintain control and trust. For sensitive member information, privacy-preserving AI technology can add an extra layer of protection while keeping innovation on track. When working with a vendor, make sure and review measurements and KPI specifics before anything is signed or started to ensure you, and your management and staff, are all on the same page in terms of how performance and deliverables will be measured.

4. Make communication a top priority for both internal stakeholders and members.

Even the most advanced AI tools won’t deliver results without clear communication and buy-in at every level of the credit union. Successful implementations often begin by increasing AI literacy among management, frontline staff and even board members. It’s also important to have a clear AI roadmap so there are no surprises. Training frontline staff on how AI works and how it can enhance member service will help them better understand how to use these tools to simplify their workflows and provide faster, more personalized support. This ensures they’re more likely to embrace the changes that AI will bring and ease potential fears that AI is coming for their jobs.

A strong example of this approach can be seen at Desert Financial Credit Union during the rollout of its virtual assistant Dee. Rather than introducing AI quietly in the background, Desert Financial made internal engagement a core part of the launch strategy. The credit union held in-person roadshows across departments to build excitement, explain how the technology worked and show employees how Dee would help both staff and members. These sessions created transparency, answered questions early and helped remove uncertainty around AI adoption. Desert Financial also leaned into creativity and fun. The team produced a 3D-printed version of Dee and encouraged employees to take photos with her and share them internally, turning the virtual assistant into something tangible and approachable. This type of cultural activation helped humanize the technology and made AI feel like a shared initiative rather than an IT project.

Credit unions considering AI should take a similar approach: communicate early, communicate often and invite participation. Internally, consider forming a small AI steering committee with representatives from operations, IT, lending and marketing to guide priorities and governance. When employees understand the purpose of AI and feel included in its success, adoption becomes a cultural shift, not a forced change. Externally, be proactive and positive in member communications, clearly explaining how AI-driven tools will improve service while protecting data privacy and security. Introducing the virtual assistant as “the newest member of our team” and giving it an actual personality can improve members’ comfort level, letting them know your team is fully on board which further helps them embrace the new agent.

5. Find a good partner that can meet you where you are at the beginning of the AI journey and be flexible as your AI needs expand 

Finding the right partner is key to unlocking the full potential of AI. SwitchThink’s collaboration with boost.ai to develop SwitchThink AI Assist is a great example of the power of partnership. By combining boost.ai’s industry-leading conversational AI platform with SwitchThink’s deep understanding of credit unions, the result is a solution that’s tailored to the unique challenges and opportunities credit unions face. This same spirit of collaboration extends to SwitchThink’s relationships with its credit union clients, by working side by side to implement AI and meet them where they are in their journey. From taking their first step into conversational AI and continuing by their side as they grow and expand their technology stack. Ultimately, credit unions partner with their members every day, helping them achieve financial well-being. AI can enhance this relationship by providing faster, smarter and more personalized service. When all three parties work together, everyone wins: members receive better support, credit unions achieve greater operational efficiency, and the technology partner continues to innovate to meet evolving needs.