Credit Unions

How Credit Unions Can Build a Technology Roadmap to Power Digital Growth

5 mins read
May 8, 2024

The pace of fintech innovation just keeps accelerating, and it can feel daunting for credit unions to figure out which tools will drive real value and which vendors deliver proven solutions. CU2.0 is a digital consultancy focused on helping credit unions navigate the ongoing digital transformation of consumer experiences and credit union operations.

We sat down with CU2.0 Founder and CRO Chris Otey and Total Expert General Manager of Banking James White to discuss why credit unions face unique challenges with technology adoption, how they can increase digital agility, and where they should focus their attention and investments for tomorrow.

What is the biggest challenge credit unions face in terms of adopting new technology?

[Chris] Speed to market. Part of that is inevitable because they’re heavily regulated financial institutions with a fiduciary responsibility to their members. They shouldn’t be at the very forefront of technology. But part of it is cultural. Very few credit unions are technology enthusiasts or even early adopters. It’s not in their nature. That conservative stance is typically reflected by the lack of development resources and budgets to make the discovery of new technologies.

But there’s growing recognition in the industry that the disruptive competitors—fintech solutions, fintech banks, and the like—are quickly adopting new technologies to drive aggressive customer acquisition strategies, particularly in the home lending space. Credit unions are recognizing they must evolve to avoid being disrupted—without absorbing any additional risk.

What barriers hold credit unions back from adopting the technology?

[James] Credit unions face several unique issues—from resource limitations to a risk-averse operational culture and regulatory uncertainties. Credit unions typically prioritize direct member benefits with no perceived risk. By contrast, a big investment in unproven technology is much less appealing.

Additionally, it’s difficult for credit unions to find suitable tech solutions and partners that are built to fit the specialized nature of credit union operations. Those difficulties manifest in terms of integration complexities with existing legacy systems and a cautious approach to data security and member privacy—which further slow (or stall) technology adoption.

To keep pace and avoid disruption by fintechs, credit unions have to take a more strategic approach to enabling digital innovation that balances meeting member needs with carefully ensuring regulatory compliance.

How do you see technology helping credit unions that have historically been highly relationship-driven?

[James] Used well, new technologies will enhance credit unions’ historically relationship-driven model—making relationships more human and interactions more personal. Digital tools can help credit unions harness their member data to provide tailored financial advice and product offerings to deepen member connections by delivering a more personalized banking experience. Automation of routine transactions and workflows frees staff to focus on high-value human-to-human interactions, fostering stronger member relationships. Online and mobile platforms give members easier access to services, ensuring members receive consistent, convenient support.

Ultimately, credit unions need to see technology as a catalyst, enabling credit unions to uphold their community-centric values while meeting evolving member expectations for convenience, security, and personalized service in the digital age. This is crucial as credit unions need to compete against new entrants in the financial services market.

How have credit unions engaged in buying tech in the past? How have those buying habits hindered their ability to grow?

[Chris] The traditional buying cycle of credit unions is due for change. In years (and decades) past, credit unions would purchase solutions from one technology provider—their core provider. The speed of innovation and disruptive change has dramatically accelerated in the tech world, yet the typical credit union’s process of buying services has not changed.

Credit unions will go look at three or four vendors for similar solutions. Once they select the vendor that works best for them, they will negotiate a contract for at least two years, but more likely four or five years. That is way too long to be locked into a single technology. In today’s rapidly evolving SaaS landscape, leading tech vendors innovate continuously, and solutions will be outdated in months—not years. Additionally, the advent of middleware solutions means core providers are no longer a bottleneck in deployment, so credit unions can bring new technology (and its benefits) to their members much faster.

Credit unions need to shift toward the “fail-forward fast mentality,” that has defined leaders in other sectors for some time now. This approach frees them to deploy readily available technologies. Some credit unions are now following this approach—and they’re seeing just how rapidly they can realize business value and ROI from new technologies.

[James] I agree. Credit unions’ conventional, slow-moving tech procurement processes need modernization to take advantage of rapid technological advancements. That shift towards a more agile, fail-forward approach—leveraging SaaS and middleware solutions—can significantly enhance their adaptability and competitiveness. By moving away from extended contracts with single providers, credit unions can quickly integrate emerging technologies, respond to member needs, and drive more agile growth strategies in today’s dynamic digital landscape.

Where have you seen technology most benefit credit unions over the past 3-5 years?

[Chris] More and more credit unions recognize the need for digital-first approaches to attracting attract and building trust and loyalty. Allowing a consumer in New York to be a member of a credit union in California—or vice versa—is a valuable thing for those credit unions and for those consumers. The technologies that enable these digital-first relationships are the biggest tech boon to credit unions over the past several years. I’m not referring just to digital banking solutions like online banking or mobile banking. I’m referring to fintech solutions that can easily plug into credit unions to power everything from financial literacy to marketing automation, personalization and so much more.

[James] This focus will be crucial for achieving digital growth, attracting new members, and enhancing member services with fewer resources. Technologies that facilitate targeted communication and streamlined operations will be pivotal, driving credit unions toward more significant innovation and member satisfaction in the competitive market.

What is the most important technology credit unions should consider over the next 12-18 months?

[Chris] The next 12-18 months will be focused on automation, efficiency, and personalization. These were already the big priorities—or should have been—but now the technology is there to support them. Companies like Total Expert have already mastered the art of getting the right message in front of the right member at the right time. Now, they’re focusing on applying this data-driven art to support credit unions’ digital growth and answer the question, “How do we balance membership growth with membership retention?” But we’re also seeing companies like Total Expert attacking another key question for credit unions right now: “How do we do more with less?” That’s where fintech is headed.

[James] To echo that, credit unions need to emphasize tools that enable precise messaging and seamless experiences. These capabilities will be crucial for credit unions to balance serving, supporting, and growing their membership with the realities of optimizing resources. This is how credit unions can make significant strides toward building a sustainable, competitive advantage in the digital era.

The most exciting—and sometimes intimidating—part of the fintech world is that the possibilities and opportunities evolve constantly. Total Expert and other leading innovators are continuously advancing digital tools, creating new capabilities, and fostering new partnerships (like our collaboration with CU 2.0) to better help our credit union customers meet the emerging demands they face.

Learn more about how Total Expert gives credit unions the purpose-built functionality to make more personal connections and drive member loyalty—at scale.

To learn more about how CU2.0 can help your credit union build a future-ready digital growth strategy, visit their website >

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AI

The Loan Officer’s New Co-Worker: Total Expert’s AI

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*This article was reposted from HousingWire.com*

In this exclusive interview, Joe Welu, Founder & CEO of Total Expert, shares the company’s latest advances in AI. He focuses on lessons learned from their pilot program and explores how AI is delivering a measurable lift in operational efficiency and lead conversions across lending teams.

Beyond internal improvements, Joe reveals Total Experts’ focus on the borrower experience and how their technology is designed to supercharge loan officers, not replace them. Joe shares with Allison LaForgia his forward-looking perspective on the innovations expected in the near future that will continue to drive Total Expert’s leadership in mortgage technology.

“We anticipated… it would probably take maybe nine months to a year to be able to get to parity with a human… and we’re blown away. It happened within two weeks,” Welu said. The voice AI agent, designed to qualify leads through inbound and outbound calls, is now handling more than 2 million calls a month, with multiple lenders, in various stages of scaling.

Welu attributes the rapid progress to the unprecedented pace of innovation in AI. “It’s like nothing anyone’s ever seen before… there’s hundreds of billions, if not soon trillions, being invested in infrastructure and large language models… we get the opportunity to build on top of those capabilities and reimagine what we can do in our industry.”

The pilot program, he said, was rooted in an iterative approach with tight feedback loops. “As we learn… it gives us information, and we make adjustments… A key thing we’ve learned with AI projects… get really super clear about what it is in the business that you are improving. Give them that target… so it’s not this ambiguous sort of black box.”

The results have been measurable: “We are seeing, in some cases, 10 to 20% better conversions,” Welu said. AI’s consistency is a major factor. “It always remembers to call people back… never calls in sick… works weekends… It allows you to take your great people and… have them doing the most highly productive work possible.”

Borrower experience is also improving. “One of the pleasant surprises… is the quality of the experience to the end consumer,” he said. Whether or not lenders disclose that a caller is AI, “the quality of the interaction is so high, they continue down the path.” The AI agent maintains “the right tone… the ability to match… the tempo of the conversation” while instantly tapping into contextual customer data.

Welu emphasized that Total Expert’s AI is designed to “supercharge,” not replace, loan officers. “There are still moments where consumers want high quality advice… Our goal is to take a loan officer and put them in a position where they are spending… the majority of their time having the highest quality conversations… and abstracting away things that don’t add value.”

Looking ahead, Total Expert’s roadmap focuses on intentional, scalable AI. “We think about getting super clear on… use cases, and partnering with people that are going to be as obsessive as you are, about making it great,” Welu said. Over the next year, customers can expect new capabilities in customer intelligence, lead management, and additional AI-driven use cases. “Seeing it all come together is what gets me up and excited every day.”

AI

AI Revolution: From “Discovering Fire” to Real Business Outcomes

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By: Joe Welu, Total Expert Founder & CEO

Best Practices for Executive Teams Deploying AI in Financial Services

The AI revolution feels like humanity just discovered fire—and everyone is racing to see what they can ignite.

That means a rush of AI pilots and proofs-of-concept across all industries, many of which launched without evaluating each use case against actual business value.

As I meet with CEOs and executive teams from leading mortgage lenders and financial institutions, the conversation has shifted from “What can AI do?” to “How do we deploy AI responsibly, at speed, and with measurable impact?”

The market leaders I work with are outpacing competitors by following a remarkably consistent playbook. They’re not just testing AI, they’re embedding it across their organizations with purpose, speed, and discipline.

Below, I’ve distilled the best practices I’ve observed from the institutions getting the most from AI today.

Anchor AI strategy to business outcomes

Tie every AI initiative to a clear business priority—whether it’s loan growth, customer retention, or operational efficiency.

Define KPIs, ROI targets, and adoption metrics before a project begins. No project should exist without a measurable path to value.

Start with high-impact, low-friction wins

Focus first on areas where a proof of concept or pilot is feasible within 30-60 days. Conversational and Voice AI solutions provide many options for pilot use cases. Other common use cases involve document classification, predictive churn modeling, or intelligent lead scoring. These early wins build momentum, prove ROI, and prepare teams for more complex deployments.

Invest in data quality and governance early

AI is only as good as the data feeding it.

Start by creating a single source of truth for customer and loan data. Then, anticipate obstacles to deploying AI with your data, such as consumer consent and preference management, and start addressing these things ASAP. Investing in tools like Customer Intelligence will help enrich your data and increase its value.  

Embed compliance and risk management from day one

Regulations such the Gramm-Leach-Bliley Act (GLBA), TCPA (Telephone Consumer Protection Act), and UDAP (Unfair, Deceptive, or Abusive Acts or Practices) will be a few key areas where regulators dig in and look for companies cutting corners.

Create a cross-functional AI task force

Bring together leaders from product, compliance, data science, operations, and customer experience. Avoid siloed pilots—alignment ensures every initiative supports the broader business strategy. Include change management expertise to drive adoption, not just deployment.

Prioritize customer experience and trust

Every organization has gaps in their customer journey and can benefit from leveraging AI to provide human-like touch points throughout the experience. Use AI to remove friction, improve transparency, and deliver personalization at scale. Keep humans informed about high-stakes decisions and be transparent with customers about how AI is used and how their data is protected.

Build for integration, not isolation

Select AI solutions that integrate seamlessly with your CRM, LOS, core banking systems, and data lakes. Use APIs and modular architectures to avoid “AI silos” that slow scale and ROI.

Focus on talent and change management

Embracing AI with a growth mindset should be table stakes. Incentivize adoption so teams see AI as an enabler—not a threat to their roles. Upskill executives and frontline teams in AI literacy. When needed, recruit or partner for deep ML and data science expertise.

Measure, monitor, and iterate

AI is not a one-and-done project—it’s a living product. Track performance, user adoption, and ROI continuously, and refine models quarterly to maintain accuracy and relevance.

Choose the right tech partners: favor vertical specialists

Partner with vendors who understand financial services—especially your unique customer journeys or workflows. Deep domain understanding on core systems, database schemas, compliance, and other nuances will be a key factor in the results you achieve.

Benefits of vertical-focused partners:

  • Deep understand of unique data sets and customer profiles
  • Faster implementation with industry-specific models
  • Built-in regulatory and risk controls
  • Product roadmaps aligned to lending and banking trends

Horizontal AI tools have their place, but without deep domain expertise, they often require heavy internal customization and a slower time to value.

The future is here

AI today is not the same as the project in 2018 that failed to deliver those operational efficiencies in the back office everyone was promised. Its potential to transform nearly every part of our businesses is becoming increasingly clear. Every day you delay, competitors are building up their capabilities and you will struggle to catch up. As one of my investors put it bluntly, “Every day you fail to execute a comprehensive AI strategy, the value of your business goes down.”  

To learn more about how Total Expert is working with our customers on high-impact AI initiatives, please reach out to our team.  

Lending

From Lone Wolves to a Unified Pack: Why Lenders Need a Shared Platform

mins read
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The mortgage industry has always prized the hustle. The most successful loan officers (LOs) are those with the motivation and self-direction to relentlessly chase leads, manage relationships, and close deals—and the ingenuity to develop their own best practices. Those qualities remain essential. But in today’s market, mortgage lenders can’t afford to treat their LOs as lone-wolf salespeople. That conventional model doesn’t just limit growth—it actively undermines it.

Fragmentation is a real problem for lenders, and the lone wolf model isn’t making it any easier. Individual excellence isn’t enough when data is disconnected, messaging is inconsistent, and decisions get made in silos. Meanwhile, LOs can (understandably) over-rotate toward short-term wins, while the bigger opportunities—building long-term relationships and sustainable growth—get lost in the noise.

What lenders need now is alignment, visibility, and unification. They need a way to turn one-time borrowers into lifelong customers. And that starts by getting everyone on the same page—and the same platform.

Why lone-wolf lending fails

When LOs are left to figure things out on their own, the result is predictable: they optimize for what they can control. They chase leads. They close loans. And they do it all with whatever tools and processes they’re most comfortable with.

This approach is serviceable for the individual LO. But when you scale that to dozens or hundreds of LOs—each working in isolation—issues quickly emerge:

  • No shared customer insight. Everyone’s working from their own spreadsheets, contact lists, or partial CRM views.
  • No coordinated engagement. Borrowers get wildly different experiences depending on which LO they’re working with.
  • No long-term strategy. Because LOs are buried in day-to-day deals, there’s no time—or incentive—to nurture relationships that might pay off months or years down the road.

The result? Short-term gains that cause long-term stagnation. Without a coordinated strategy, you end up with isolated efforts that fail to make a lasting impact. And the moment the market shifts, lenders are left scrambling. Those once-shiny wins quickly become embarrassing monuments to short-sighted tactics.

A seamless platform provides limitless visibility

So, what’s the answer? The most important change is giving your team a common foundation to work from—and that comes down to choosing the right technology. Centralizing customer data and engagement on a single platform can change how your business functions at all levels:

It unifies the customer experience. Everyone’s drawing from the same source of truth, so your borrowers get a consistent message and a more personal, relevant journey—no matter which LO they’re working with.

  • It gives LOs insight they can actually use. A centralized view reveals not just who’s ready to do business today, but who’s showing long-term intent signals—credit checks, property listings, life events—and who’s worth nurturing over time.
  • It boosts efficiency and productivity. Automating outreach, follow-up, and lead prioritization frees LOs to focus on what they do best: building trust, closing deals, and deepening relationships.
  • It creates a real growth engine. With shared data and a scalable engagement strategy, you can stop scrambling and start building a system that can grow predictably and sustainably, even when the market gets choppy.

LO adoption: where most tech implementations go wrong

Of course, tech on its own won’t fix anything. If LOs don’t use the platform, you’re back to square one.  

This is a big hurdle in the lending world, where there’s very real inertia to change. Most LOs aren’t eager to change what’s already working for them. If a new tool or platform just feels like it will add extra work, they’ll ignore it—leaving your new solution to collect dust and your investment or time and money largely wasted.

This is why solving the adoption problem needs to be part of your strategy from the start. And while it’s a serious issue, there are three key steps to mitigate it:

  1. Keep it simple. Give your LOs tools and dashboards that surface what matters most—who to call, when to follow up, what’s driving intent—without forcing them to dig or overwhelming them with features and functions they won’t ever use.
  1. Show, don’t tell. Help them connect the dots between using the platform and hitting their numbers. If it helps them close faster, follow up smarter, or get more repeat business, they’ll at least be willing to try. As the saying goes: “You can lead a horse to water…”
  1. Support them like it matters. Training should be hands-on and tailored, not a one-time webinar. This is just as much your vendor’s responsibility as it is yours. Make sure you vet any vendor’s ability to commit to successful implementation.

The extent to which you follow these three steps will go a long way in determining whether you see ROI on your tech investment.  

You can’t scale in infinite directions

Every lending organization has LOs who go above and beyond; LOs who lag behind, and LOs who simply meet expectations. And lone wolves permeate all three groups; following their own roadmap, chasing any opportunity they find, and hindering the organization’s larger growth strategy. That’s why organizations structured this way find it impossible to scale.  

Now, imagine if you could have tech that elevates every LO to the same high-performing level. By aligning your entire sales organization on a single platform that helps them work more efficiently, your good LOs will continue to produce, but now your struggling and middle-of-the-road LOs can level up—allowing leaders and platform administrators to spend less time reigning in lone wolves and more time supporting the pack.  

Wolves hunt better in packs  

LOs will always be at the front line of your lending operation. But treating them like individual agents instead of coordinated players in a unified strategy is holding your business back.

By moving to a shared platform and getting serious about adoption, you set your organization up for something far more valuable than short-term wins. You build a system that gets smarter over time and nurtures every relationship—not just the ones that close quickly. You also strengthen the resilience of your business, setting it up for growth no matter how the market moves or how your organization evolves.

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