AI Implementation Template: A Practical Guide for Credit Unions
This article presents a practical framework for how credit unions can implement AI successfully in 2026. Drawing on insights from PortX Chief Technology Officer Jon Fancey on the Allied Angle podcast, it addresses three core questions. First, it examines whether AI anxiety among credit unions is justified, concluding that evolving compliance uncertainty is the primary barrier and that leaders should adopt a mindset of optimistic skepticism guided by ethics, governance, and risk management. Second, it explains what it means to be AI native, defined as building AI from the middle out while keeping people at the center and simplifying the technology environment rather than layering tools onto outdated systems. Third, it details what becomes possible when AI is fully embedded, emphasizing that AI depends on complete, connected, and reliable data delivered through full APIs rather than partial ones. The article concludes that Connectivity as a Service (CaaS) reduces operational friction and frees credit union staff to focus on higher-value, member-serving work.
In 2026, the credit unions succeeding in AI and data modernization aren't the ones replacing people with technology. They understand how AI meets their unique business challenges, and they are finally accomplishing once-abandoned to-do lists.
Recently on the Allied Angle, Jon Fancey, Chief Technology Officer at PortX, put it simply: "The best way to use AI is to know it."
While AI literacy is growing, so is anxiety about its impact. Unchecked, that anxiety can morph into an obstacle to innovation.
Is the AI Anxiety Justified?
Fifty years ago, the average car owner could handle many repairs and routine maintenance on their own. Today, vehicle technology is so sophisticated that even basic maintenance often requires specialized tools and expertise.
The same shift has happened with banking automation, only much faster. What could be managed in-house even a decade ago has evolved into a far more complex technology ecosystem. Credit unions aren't blind to this reality, and the conversation has shifted beyond whether AI has a place in banking to how it can be implemented responsibly.
But the pace at which AI is evolving is catalyzing understandable skepticism, and, for many institutions, anxiety.
Even with an abundance of resources and tools, uncertainty around compliance remains a significant barrier. Most of the AI anxiety is triggered by evolving compliance, leaving credit unions to question how they can innovate when regulations are still taking shape.
On the podcast, Jon encouraged leaders to maintain a mindset of optimistic skepticism to keep moving forward despite the gray areas. Rather than waiting for perfect clarity, institutions can move forward thoughtfully, guided by established principles of ethics, governance, and risk management. While AI regulations will continue to evolve, those foundational best practices remain reliable guideposts for responsible innovation.
Missed the first part of the conversation with Jon Fancey? Tune into Part 1 here on the Allied Angle podcast.
Is Being AI Native the Answer to Integration Complexity?
There's plenty of buzz around becoming AI native. But what does that mean, and why does it matter to credit unions?
According to Jon Fancey, becoming AI native isn't about layering new automation onto outdated systems, and it's not about replacing people with technology.
As Jon shared on the podcast: "You have to believe that humans will always be better than AI."
Being AI native is about building AI from the middle out instead of the edges in.
It's about thoughtfully designing AI while keeping people at the center. Rather than adding another tool to an already complex tech stack, the goal of becoming AI native is to simplify the environment so automation can connect reliable data with people.
That's the promise of PortX: to expand credit union capabilities to become AI native and compete with big banks and fintechs without overcomplicating the tech environment.
Credit unions don't have to become AI experts overnight. They need the right technology foundation to adopt AI strategically, confidently, and at their own pace. Jon noted on the podcast:
"There is an advantage of being small right now. You can be more nimble and more focused. [A smaller credit union] isn't a disadvantage anymore if you embrace the new technology and use it to your advantage."
What Becomes Possible When AI Is Fully Embedded?
Once AI is embedded into the technology foundation, the question becomes: what can it actually do?
AI should not be nebulous in practice. It is designed to solve business needs, and that starts with a rich set of APIs.
Think of it this way: APIs are the delivery system for AI's meals. Language models don't discover information on their own; they can only consume the data they're given. The data flowing through APIs is the fuel the AI runs on.
If the data is fragmented, outdated, or difficult to access, the results will reflect those limitations.
AI is excellent at finding vulnerabilities that create risk or a bug that makes for a poor member experience. But when AI has access to complete, connected, and reliable data, it can surface the issues behind the risk or friction.
This is where most credit unions get hung up. They have some APIs, but only partial ones. Partial APIs allow data fragmentation to continue, slowing problem solving. Full APIs create the connected foundation AI needs to solve problems faster, opening the door to self-healing systems.
Summary
The unfortunate reality is that credit unions are skipping important work because they are stuck doing work that could be automated. Every hour spent on manual processes is time that can't be invested in serving members or solving strategic challenges.
As Jon put it:
"People don't ask themselves enough, or often enough, 'Why are we doing what we are doing?' Lots of work that we can do now gets buried down the stack. We should give up the things to AI that are worth giving up. Let's get to the more interesting and challenging work."
The good news? Jon shared that CaaS, or Connectivity as a Service, is changing what's possible for reducing friction, and operational anxiety. Most importantly, it's freeing people up to do their most meaningful work yet.
For a deeper look at where AI, connectivity, and credit union innovation are headed next, listen to the full conversation on the Allied Angle podcast.
