Credit unions don’t have a tech problem—or do they?
Credit unions do have a tech crisis, but it’s not for lack of technology or even lack of solid tech strategy. The real problem is a lack of integration across the tech stack.
Credit union leaders recently reported on just how disjointed their systems are. 81% say that their systems aren’t fully integrated, and instead they rely on a patchwork of APIs and manual workarounds.[1]
Data has never been more abundant, nor more disconnected. This ongoing fragmentation creates enterprise-wide friction felt by members, operational delays that surface too late, and hidden inefficiencies that shrink margins.
In other words, a Frankensteined tech stack hamstrings growth.
The true risk of data fragmentation
The cost of fragmented data is hard to pinpoint but easily felt on the bottom line. Annual losses tied to fragmented data are estimated to total $15 million.[2]
This figure doesn’t account for operational drag, diminished trust, stagnant membership growth, or regulatory fallout. These are the intangible costs that subtly stack against digital transformation wins.
But AI itself isn’t to blame when the architecture of data connectivity is weak.
Is your AI strategy creating regulatory vulnerability?
Recently, a large bank established a relationship with OpenAI to embed AI into lending operations. Partnerships like this show how quickly the generative AI frontier is broadening across financial services. At the same time, compliance questions swirl and concerns grow as regulations struggle to keep pace with AI evolution.
So, where is the risk most prevalent and persistent?
By nature, algorithmic decisioning is more risky without AI-powered data connectivity.
That’s because if discriminatory decisions are suspected, regulators will point to flawed logic as the origination of such violations. A flawed algorithmic model—enabled by poor data connectivity—creates systematic errors at scale, multiplying poor outcomes that lead to compliance exposure.
Contrary to popular belief, your core isn’t inherently setting you up for this risk. The exposure emerges when your core can’t connect effectively with the rest of your technology ecosystem. Leveraging secure, reusable APIs provides a scalable path to reduce manual workarounds and strengthen data connectivity.
Alongside the NCUA, we continue to stress the importance of due diligence when partnering with providers that are committed to protecting your data while delivering compliant AI-powered solutions. That’s why PortX is our preferred provider for AI-powered data connectivity.
Data connectivity is a growth strategy because it’s also a risk strategy
Compliance aside, there’s heavy risk of becoming irrelevant without AI-powered integrations.
While there isn’t a perfect measurement for share of wallet, trends point to a rapidly declining membership among younger generations. As open banking becomes more mainstream, the risks of falling behind may outweigh the risk of modernization itself. Credit unions need to be data-enabled and data-integrated. Strong foundations of data—not fragmented ones—prevent long-term cracks in the data architecture. Credit unions that orchestrate core data within the rest of the technology stack can build a firm foundation of intentional, modern integrations.
[1] According to Allied Solutions data. 2026.
