Credit unions don’t want to be disadvantaged by their technology. They aim to offer members the same capabilities available at competing financial institutions. A critical part of that is having an ecosystem they can plug into—one that allows them to run their operations efficiently while staying competitive.
To help credit unions achieve that, Velera recently introduced a unified, cloud-native architecture designed to support agility and future readiness. In a PaymentsJournal podcast, Jeremiah Lotz, Senior Vice President of Enterprise Data and AI at Velera, and James Wester, Co-Head of Payments at Javelin Strategy & Research, discussed the benefits this technology stack is intended to bring to credit unions across the country.
The New Ecosystem
Meeting member expectations requires more than adding new tools on top of existing infrastructure. It depends on a more foundational shift in how core systems are structured—one that allows data, decisions and services to operate in a more connected way across the institution.
The Velera Ecosystem consists of the technology layer Stellaris and the intelligence layer Atmos, forming a centralized, cloud-native foundation that brings together payments, data and risk in a single connected environment. Velera developed this ecosystem in partnership with clients over several years, with the goal of making it configurable and adaptable to different credit union needs, as well as improving the member experience.
“As member expectations change, we want to have the ability to be flexible and to enable our financial institutions to move along with those member needs quickly as well,” said Lotz. “The accelerated speed and ability to scale intelligently with this unified technology ecosystem is one of our key goals.”
“We want to move from disconnected systems to this unified ecosystem where everything works together,” he said. “And we want to be able to build something once and deploy it in multiple places, which will allow us to remove the friction and patchwork integrations that credit unions have historically had to face.”
A key design consideration has been keeping the system from becoming overly complex or burdensome for credit unions. Institutions retain the ability to roll out new capabilities and features without major rebuilds—and can integrate new systems or transition to newer processes more easily over time.
For instance, small business onboarding, which has historically taken months, can be completed in a matter of weeks within this model.
“Credit unions often run what we could call a thin or efficient technology group,” said Wester. “There’s no requirement for a rebuild or massive integration, because that’s not where these financial institutions are going to be spending a ton of money, time or resources. Anytime you can take that friction out and make it more efficient, that’s good.”
What Atmos Can Do
Atmos aggregates fragmented data into a real-time intelligence layer spanning the ecosystem. In many organizations, payment, fraud and member data reside in separate systems. A shared data layer allows these inputs to be viewed in a more connected operational context across traditionally siloed functions.
This structure enables a range of capabilities:
1. Real-time connectivity of information
Enables more informed decision-making in the moment, extending beyond transaction-level decisions to shaping the next step in a member’s experience—whether that involves fraud checks, authentication or payment processing.
2. More effective use of AI
AI is most effective when connected to high-quality, unified data. Atmos provides a foundation for applying AI to payment and member data, including enabling natural language interactions and insights.
3. End-to-end member experiences
Rather than treating interactions as isolated events, connected data allows institutions to understand and support the full member lifecycle—and to design continuous experiences over time.
4. Broader use of data across applications
Through APIs and shared data access, credit unions can extend capabilities across multiple use cases rather than being limited to single-point solutions.
Catering to Younger Members
Attracting younger members has long been a priority for credit unions. These members tend to have different expectations shaped by digital-first experiences. The Velera Ecosystem supports more personalized engagement, using data to help tailor relevant experiences.
“This is where the data starts to come to life, especially when I think about how younger generations are interacting with tools on a daily basis,” said Lotz. “I know you’ve got my information, you know how I used my payment account, and I’m not creeped out by that. But I do have an expectation of the cool tools to help me be better at it.”
For example, data can be used to suggest how a member might best use a rewards account or support savings goals. Rather than generic messaging, the goal is to provide timely, relevant guidance for members.
The same data can also be used as an opportunity for education—surfacing tools or financial options that members may not have explicitly searched for, but could benefit from.
“That creates trust and the understanding that I know my credit union has this data about me and I know that they’re using it in a way that benefits me,” said Lotz. “That makes me appreciate and trust them because they’ve got my needs in mind.”
Moving into the Future
Many credit unions still operate within legacy systems that limit how quickly they can adapt. In many cases, meaningful changes require significant rebuilds. As organizations gain better access to and integration of their data, new possibilities emerge that were previously difficult to implement.
In an AI-enabled environment, broader and better-structured data can improve how institutions understand and engage with members. The more relevant data that can be fed into those models, the more effectively those systems can support outreach and decision-making.
Awareness of digital privacy and data usage continues to grow. Credit unions often have a trust advantage with their members, which can create an opportunity to use data responsibly and transparently in ways that ultimately benefit members.
“You can help a member understand their account usage, where they can use particular financial tools, and where they can do things to help with savings or retirement,” said Lotz. “The earlier you start encouraging those responsible behaviors, the better it is for everyone.”
