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Preserving the Soul of Fintech: Why Extreme Decentralization Matters

3D render abstract digital visualization depicting neural networks and AI technology_EFTG

By David Dean

Head of M&A
Evergreen Financial Technology Group

I was recently speaking with a fintech founder about why my team at Evergreen Financial Technology Group (EFTG) is so emphatic about a philosophy we call extreme decentralization. As we talked, it occurred to me that we could do a better job of publicly articulating what decentralization really means and why we believe it matters so deeply, particularly for CUSOs and fintech businesses serving credit unions.

What Is Decentralization?

In a decentralized operating model, most decisions are made by operating companies rather than by corporate headquarters. A highly decentralized organization is characterized by dozens—or even hundreds—of separate offices and brands, empowered CEOs who manage their own profit and loss statements (P&Ls), and a razor-thin corporate team. Most decisions that affect employees or customers are made at the operating company level, without corporate involvement.

A centralized company, by contrast, is defined by a robust corporate team with highly empowered functional leaders. Local offices operate at the direction of corporate, following strict brand guidelines and standard operating procedures. Decisions that fall outside those procedures typically require approval from headquarters.

EFTG’s Operating Model

EFTG’s model is simple. We are on a mission to be the best home for mission critical fintech businesses and their leaders. To achieve that mission, we are deeply committed to two things: creating a permanent home for these businesses that’s optimized for long term, sustainable success and empowering leaders through a decentralized operating model.

For founders and business owners, this means EFTG aims to be the best acquisition partner to care for your employees, customers, and brand; especially important in CUSOs, where trust and continuity matter deeply to credit unions and their members.

For leaders, it means EFTG is a partner in your entrepreneurial operating experience. We offer a level of empowerment that’s difficult to find in traditional corporate or private equity environments, alongside a business system designed to drive market-leading growth.

Extreme decentralization is central to our value proposition. It enables us to preserve the soul of the companies we acquire while empowering leaders to fully live into their potential as entrepreneurs.

The Advantages of Decentralization

We believe decentralization leads to higher growth and stronger long-term returns on capital for several reasons:

  1. The best people want to be empowered.

The most talented operating leaders want to be entrepreneurial CEOs with meaningful decision-making authority and aligned incentives—not branch managers executing someone else’s plan. Our view is simple: the best and most energized teams win, and those teams thrive in empowered environments.

  1. It’s easier to grow smaller P&Ls.

Growing a $5 million business by 20% requires adding $1 million in revenue. Growing a $100 million business by 20% requires adding $20 million. Percentage growth rates naturally decelerate as companies scale. Our solution is to keep P&Ls as small as practical and growth rates as high as possible.

  1. Business owners prefer decentralization.

Founders generally prefer selling to acquirers who retain their brand and provide continuity for employees and customers. While we continuously improve the businesses we acquire, we don’t disrupt them the way centralized acquirers often do. In fact, every business owner who has partnered with EFTG cites our decentralized model as a key factor in their decision.

  1. Accountability is crystal clear.

In a decentralized structure, each operating CEO has a straightforward scorecard: their P&L and KPIs. If growth stalls or margins slip, responsibility is clear. Decentralization doesn’t mean unconditional empowerment. Empowerment is earned through performance and can be lost when results falter. Centralized organizations often suffer from murky accountability, where functional leaders blame local teams and local teams point back to corporate.

  1. Bureaucracy is minimized, margins are maximized.

Large corporate teams inevitably introduce bureaucracy: approval processes, reporting requirements, meetings, mandates, and policies. As corporate structures grow, coordination costs and organizational friction rise, slowing operating companies and dragging on margins. Leading decentralized organizations often operate at significantly higher margins than centralized peers, even though they duplicate certain roles locally. Simply put, bureaucracy is more expensive than local autonomy.

Decentralization as a Catalyst for Innovation

When people think about disruptive innovation, they often picture a small startup working out of a garage, not a large organization with hundreds of employees.

That intuition is right.

Innovation thrives in environments that reward speed, ownership, and experimentation. It struggles in bureaucratic structures where ideas must climb ladders of approval before they can reach customers.

This is one of the most powerful, and often overlooked, benefits of extreme decentralization.

At EFTG, our operating companies function like independent startups. They move quickly, stay close to customers, and make decisions locally. They are not constrained by centralized product roadmaps or corporate committees.

At the same time, unlike early-stage startups, our companies have already emerged from the garage. They’ve achieved product-market fit. They serve established credit unions and community banks. They’ve built trusted brands, durable customer relationships, and strong internal cultures.

That combination, startup agility paired with real-world scale, creates a uniquely fertile environment for innovation.

Nowhere is that more evident than in how our businesses are approaching artificial intelligence.

Our companies are already embedded deeply in the workflows of credit unions and community banks. They understand operational realities, regulatory expectations, and member experience. Many serve as trusted technology advisors to their customers, helping institutions adopt new tools thoughtfully rather than reactively.

That positions them not just to experiment with AI, but to deploy it responsibly – both internally to improve service delivery and externally to help financial institutions solve real business problems.

In 2025 alone, we saw meaningful progress across our portfolio as teams began using AI to enhance customer support, streamline operations, improve analytics, and accelerate product development. But what excites us most is what comes next.

We believe 2026 will mark a step change.

Not because of a single breakthrough product, but because of the collective impact of dozens of empowered companies innovating in parallel.

In a decentralized model, innovation doesn’t come from one centralized lab. It comes from the edges: from engineers, product managers, customer success teams, and operators who wake up every day thinking about how to better serve their clients. Multiply that by a growing collection of mission aligned businesses, each deeply connected to the credit unions and community banks they serve, and you begin to see the scale of what’s possible.

This is why decentralization matters so much in fintech.

It allows innovation to emerge organically from real customer needs. It preserves accountability. It accelerates learning. And it ensures that new technologies, especially powerful ones like AI, are shaped by practitioners who understand the communities they serve.

For credit unions and CUSOs, this distinction is critical. The future of financial services won’t be built solely by centralized platforms chasing scale. It will be built by trusted partners who combine technical capability with deep industry context and who are empowered to act locally, quickly, and responsibly.

Measuring Decentralization

One way to measure decentralization is by comparing the size of the corporate team to the total number of employees.

Will Thorndike, author of The Outsiders, describes this as the ratio of total employees to corporate employees; a clear indicator of where decisions are being made and how much bureaucracy exists. In centralized organizations, this ratio might be under 25:1. Highly decentralized companies will have a ratio of 100:1 or higher. Hall of fame decentralized companies like Constellation Software and Berkshire Hathaway operate well in excess of 100:1 (Berkshire operates at ~15,000:1).

When Centralization Makes Sense

There are situations where centralization works well:

  • Uniform products or services. if a company is selling a small handful of products or services that are uniform in nature, centralization is a better structure. It makes sense that Apple designs iPhones and AirPods at corporate instead of delegating product decisions to its retail stores.
  • Winner-take-most markets. in a winner-take-most market like a social network, a credit card network or a ratings agency it makes sense to take maximum advantage of scale by centralizing. These markets also tend to be characterized by a uniform product or service.
  • Certain low-cost producers. there are certain low-cost producers that benefit from a centralized structure. Walmart relies on a strong centralized purchasing function, though they empower their local store operators with certain decision rights.

Fintech serving credit unions typically doesn’t fit these categories. Credit unions often depend on customer support, regulatory nuance, high-level security, vertical expertise, and continuity of service. Centralization in this context often leads to employee churn, slower innovation, and weaker client relationships.

What’s at Stake

What’s ultimately at stake is the culture of fintech businesses and the quality of service delivered to credit unions and their members.

A decentralized operating model preserves that culture. It fosters innovation, growth, and continuous improvement. That’s why decentralization sits at the core of EFTG’s mission to be the best home for businesses and their leaders.

We pursue this work with tremendous energy because every company we acquire represents an opportunity to preserve autonomy, empower teams, and support the long-term success of fintech partners serving cooperative financial institutions and their communities.

This article was inspired in part by EFTG board member Jeff Totten’s post, “Why We Believe in Extreme Decentralization.”


To learn more or connect with Evergreen Financial Technology Group, please visit their website at https://evergreenftg.com/.

About the Author: 

David Dean
Head of M&A
Evergreen Financial Technology Group

David Dean is a seasoned fintech executive and strategic leader in mergers & acquisitions, specializing in founder-led software businesses serving credit unions and community banks. As Head of M&A at Evergreen Financial Technology Group (EFTG), he leads sourcing, development, and execution of acquisitions that align with EFTG’s long-term, buy-and-hold investment philosophy.

Before joining EFTG, David served as Chief Operating Officer and Chief Investment Officer at CUSG, where he oversaw corporate development, strategic partnerships, and portfolio company growth. His career reflects more than a decade of experience driving sustainable value creation across fintech, SaaS, and media, guided by a disciplined and collaborative investment approach.

A California native and graduate of the University of Missouri-Columbia, David now lives near Detroit, Michigan, with his family.

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Why Strategic CUSO-Led Acquisitions Are Accelerating In The Credit Union Ecosystem

By John Dearing

Partner
Capstone Strategic

Strategic acquisitions are no longer a peripheral conversation in the credit union industry. They are becoming a core growth lever – used selectively, deliberately, and with far more strategic intent than in prior cycles. 

This shift is especially visible in activity taking place through CUSOs with the acquisition of private companies. What began as a collaborative model to share cost and capability is increasingly being used as a practical way to extend the credit union’s strategic reach: bringing new capabilities, talent, and products closer to the core mission. 

At Capstone Strategic, we see this acceleration driven by what we call the Big 3: talent, technology & innovation, and product breadth. Together, they explain why acquisition activity is rising, and why it makes sense now. 

A Market Creating Permission to Act 

The broader M&A environment matters. According to comments from Mario Gabelli in Barron’s, U.S. deal activity rebounded sharply in 2025, reaching approximately $2.3 trillion in total value, a 49% increase over 2024. Interest rate cuts, modest regulatory relief, and accelerating demand for AI and digital capabilities reignited what Gabelli called “corporate lovemaking” across sectors, including financial services. 

While Gabelli’s language was colorful, the implication is straightforward: organizations are restructuring more quickly and more intentionally. Credit unions – long known for discipline and patience – are now acting when the strategic rationale is clear and the structure supports responsible execution. 

The Big 3 Driving Strategic Acquisitions 

Talent: Compressing Time in a Scarce Market 

Specialized talent has become one of the most persistent constraints facing credit unions. Data engineers, cybersecurity leaders, compliance specialists, developers, product managers: these skills are scarce, expensive, and increasingly difficult to retain. 

Building these capabilities internally is possible, but slow. Recruiting and integrating niche expertise can take months, if not years, during which competitive expectations continue to rise. 

Strategic acquisitions help compress that timeline. Rather than assembling capabilities role by role, through aqua-hires, credit unions gain access to established teams, operating models, and institutional knowledge that already function at scale. In practice, this is less about headcount and more about momentum. When speed increasingly determines relevance, acquiring capability through a CUSO can be the most rational option. 

Technology & Innovation: From Aspiration to Execution 

Most credit unions have well-defined digital ambitions. Execution is where friction emerges. 

Legacy cores, integration risk, and limited internal development capacity can stall even the strongest roadmaps. Multi-year build cycles consume leadership attention and introduce risk. 

Acquisition activity through a CUSO often bridges this gap. These businesses bring proven platforms, tested integrations, and hard-earned experience deploying technology within credit union constraints. The result is a faster path from strategy to execution, without placing a single, concentrated bet on an internal build. 

Just as important, ownership alignment matters. Strategic control allows technology to evolve alongside long-term priorities, rather than being constrained by external vendor roadmaps. 

Product Breadth: Owning Relevance, Not Renting It 

Member expectations continue to expand across lending, payments, compliance services, data insights, wealth, and business solutions. Few credit unions can build and sustain differentiation across all these areas independently. 

Historically, partnerships provided access. Increasingly, acquisitions provide control, additional economics, and optionality. 

Bringing product capabilities closer to the organization allows credit unions to shape the member experience more deliberately, manage distribution with intent, and retain long-term value creation within the ecosystem, rather than exporting it to third-party providers. Property & casualty insurance, wealth management and title insurance are highly complementary to a credit unions core lending business and therefore extremely active areas right now.  

The distinction is subtle but powerful: owning growth versus renting it. 

A Structural Shift, Not a Cyclical One 

The rise in acquisition activity tied to CUSOs is not about chasing deal volume or capitalizing on a hot M&A market. It reflects a deeper shift in how credit unions think about growth, relevance, and resilience. 

The most effective leaders aren’t asking, “What can we buy?” They’re asking, “What capabilities must we have five years from now, and how quickly do we need to get there?” 

Increasingly, strategic acquisitions are part of that answer. 

Discipline Still Wins 

None of these advantages diminish the need for rigor. Successful acquisitions require strategic alignment, clear criteria for evaluations, thoughtful integration, and realistic expectations. Ownership alone does not create value. 

But when aligned to strategy, acquisitions executed within the CUSO ecosystem offer something increasingly rare in financial services: the ability to grow faster and smarter, without compromising mission. 

The Bottom Line 

Strategic acquisitions through the very flexible CUSO vehicle are rising because conditions demand it. Talent scarcity, accelerating technology cycles, and expanding member expectations are forcing leaders to rethink how growth happens. 

CUSOs sit at the center of that rethink… not as the story themselves, but as a critical enabler of strategic capability-building. 

Growth today is no longer about doing more. It’s about doing the right things, with the right capabilities, at the right time. And for many credit unions, that path increasingly includes well-considered acquisitions supported by the CUSO model.


To learn more or connect with Capstone Strategic, visit their website.

About the Author: 

John Dearing
Partner
Capstone Strategic

John Dearing, CFA, has been a driving force behind Capstone Strategic since 1996, helping organizations pursue disciplined, proactive external growth. John leads Capstone’s market-leading CUSO practice, buy-side team, and operations, advising leadership and Boards on acquisitions, investments, and strategic partnerships. For nearly two decades, he has worked extensively with credit union and CUSO leaders on acquisition growth strategy, with a focus on using the CUSO model to expand capabilities and strengthen competitive positioning.

His experience includes facilitating acquisitions and strategic growth initiatives for organizations such as Velera, PureIT CUSO, Achieva Credit Union, Nutmeg State Financial, RenoFi, Great Lakes Credit Union, South Carolina Financial Solutions, OceanAir Federal Credit Union, Janusea, and One Washington Financial.

A frequent speaker and educator, John has taught thousands of executives on proactive external growth, acquisitions, and business valuation, and regularly presents at national and regional industry events.

John holds an MBA from Georgetown University’s McDonough School of Business and a BS in Business Administration from Bucknell University. He is a Chartered Financial Analyst (CFA), a member of the Washington Society of Investment Analysts, and the founder of an investment partnership.

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Unlocking AI’s True ROI: Beyond the Obvious Obstacles in Credit Unions

By Pat Lapomarda

Director of Data Science
Arkatechture

Unlocking AI’s True ROI: Beyond the Obvious Obstacles in Credit Unions

Introduction: The AI Promise and Its Elusive Return

Artificial Intelligence (AI) has captured the imagination of the credit union sector, heralded as a transformative force for efficiency, personalization, and competitive advantage. Yet despite the buzz and significant investment, many credit unions still struggle to achieve tangible returns on their AI initiatives.

American Banker recently highlighted four key obstacles to AI ROI in financial institutions: the cost of modernizing core technology, the high price of AI talent, data governance challenges, and rising vendor costs. While valid, these are often symptoms of a deeper issue. True AI ROI in credit unions requires rethinking how member data is collected, managed, and interpreted to preserve and enhance the relationships that define the industry.

Beyond the Surface: Why the “Obstacles” Miss the Mark

Cost of Core Modernization: Necessary but not sufficient. A modern engine won’t reach its destination without a clear map.

  • High Cost of AI Talent: A challenge, but often worsened by the absence of a coherent AI strategy.
  • Rising Vendor Prices: A market reality, yet value remains elusive if data strategy is weak or duplicative.
  • Data Governance (Closest to the Truth): The issue isn’t just the cost of governance—it’s understanding what data is being governed and how it’s prepared for AI use.

These obstacles are real but secondary. Modernization alone won’t guarantee AI success; a new “core” without strategic direction is just infrastructure. However, a new “modern core” doesn’t guarantee a desired destination without a clear map and a skilled navigator. Similarly, costly talent and tools fail to deliver if built on flawed data foundations. Data governance comes closest to the root issue—data truly is central—but the real challenge lies in the credit union’s overarching data strategy, not just the administrative overhead of compliance that’s becoming more of a focus in regulatory exams using the new FFIEC IT Handbook AIO Booklet.

III. The CRM-Embedded AI Approach: A Step, But Not the Destination

American Banker notes that EY’s Brian Gibbons sees value in partnering with core providers embedding AI or migrating to CRMs with built-in AI. While appealing, this approach often falls short, especially for credit unions.

The Core Issue: Data Fragmentation. Member data is scattered across loan origination, online banking, call centers, and wealth systems, each offering a “slice” of truth but remaining siloed.

Incomplete 360-Degree View. Even the best CRM cannot provide a full, evolving member profile. They store limited data and often miss external financial activity.

Preconceived Limitations. Integrating AI within these systems risks reinforcing current assumptions, locking in “today’s ground truth” and stifling adaptability. As a result, institutions optimize for what they already know instead of what they could learn.

IV. Reclaiming Relationship Banking with a Holistic Data Strategy

Despite the digital-first shift, members still value personal relationships, trust, and tailored service. AI should enhance this, not replace it.

Fragmented AI implementations, piecemeal or CRM-based, fracture the member experience and understanding. To preserve the essence of relationship banking, credit unions must empower AI with a holistic data strategy that fosters deep, contextual insight rather than narrow, system-defined views.

V. The Data Lakehouse: Foundation for Continuous Understanding and True ROI

A data lakehouse offers the modern foundation credit unions need. This architecture unifies all structured and unstructured data from transactional systems, digital channels, and external sources—creating a truly comprehensive member profile.

Key Advantages

  • Holistic Data Capture: Centralizes data from all transactional systems, digital interactions, and external sources, creating a truly comprehensive customer profile.
  • Continuous Data Shaping: Unlike rigid data warehouses or fragmented system integrations, a data lakehouse allows credit unions to continuously refine, transform, and shape data for use in new systems and AI models as understanding evolves. It’s a living, adaptable data fabric.
  • Simplified “Before and After” Tracking: Provides a clear, historical record of customer interactions and model outcomes, enabling precise measurement of AI’s impact and iterative improvement.
  • Scientific Signal Identification: By integrating all data, credit unions can move beyond preconceived notions and apply scientific rigor to identify the real signal in the noise of customer behavior and market trends. This fosters genuine insight, not just optimized assumptions.
  • Protection Against Impulsivity: Distinguishes fleeting actions from meaningful needs.
    • Example: Consider a member who impulsively buys a candy bar at checkout. Traditional systems record a transaction; a lakehouse-based AI that integrates rewards data from a receipt capture tool understands context—distinguishing a one-off purchase from a habit and enables proactive, relevant engagement such as financial coaching or wellness savings suggestions.

VI. Conclusion: Empowering the Future of Credit Union Banking

The real barrier to AI ROI isn’t cost, talent, or tooling, it’s a fragmented approach to data.

A data lakehouse strategy empowers credit unions to truly understand members, continuously adapt to their needs, and unlock AI’s full potential to deepen relationships and drive sustainable growth.
To build a future where AI strengthens the value of relationship banking, contact Arkatechture to explore how a unified data platform like Arkalytics can help you see the whole member and turn insight into action. Ask about ArkaIQ: your new AI data analyst, ready to answer your everyday business questions in seconds. What is the direct loan growth versus indirect loan growth for 2024 and 2025? How many members do I have currently? ArkaIQ can answer these questions and more. Learn more about this tool here.


To learn more or connect with Arkatechture, visit their website.

About the Author: 

Pat Lapomarda
Director of Data Science
Arkatechture

Pat Lapomarda is the Director of Data Science at Arkatechture. He has a passion for harnessing data to drive informed action. Over the past 25 years, he has advised, developed, and implemented data science solutions at scale, including risk and marketing scoring systems. These solutions have primarily been at financial services companies ranging in size from top-ten banks, like TD Bank and KeyBank, to community finance institutions and boutique finance companies. Pat is a graduate of the College of the Holy Cross and completed graduate studies in Mathematics at Wesleyan University.