In the rapidly evolving financial services landscape, credit unions across the country are facing mounting pressure to modernize their core banking systems. This transformation isn't merely about keeping up with technology trends—it's about survival, competitiveness, and meeting the changing expectations of members.
As we navigate through 2025, the urgency around core banking modernization has never been greater. This article will explore why credit unions are prioritizing these initiatives now, the challenges they face, and how Zengines is helping them navigate this complex journey.
Many credit unions are still operating on legacy core systems that are up to 40 years old, running on mainframe hardware coded with outdated programming languages such as COBOL. These systems were designed for a different era of banking and struggle to support modern digital services.
Recent incidents highlight the vulnerability of these aging systems—in late 2023, approximately 60 U.S. credit unions experienced significant outages due to a ransomware attack against a third-party service provider, exposing the fragility of outdated infrastructure.
Today's credit union members expect seamless, personalized digital experiences that rival those offered by fintech companies. They want real-time transaction processing, instant payments, and mobile-first interfaces.
Legacy core systems – built decades ago – simply weren’t architected or designed for today’s modern needs, so they aren’t able to deliver these capabilities at scale or at speed. Credit unions that can't meet these expectations risk losing members to competitors who can.
Traditional banks and fintech startups are aggressively targeting credit union members with innovative digital services. The competitive landscape has become more intense, particularly as we move through 2025, with fintechs offering specialized services that many credit unions struggle to match due to core system limitations. According to CUInsight's 2025 trends report, digital banking is no longer a differentiator but a baseline expectation.
Credit unions are increasingly looking to expand into commercial banking services to grow their business. The opportunity to capture market share from traditional banks in 2025 is significant, but success requires modern treasury platforms with capabilities like real-time cash management, automated loan underwriting, and advanced fraud detection—all of which demand a modern core banking foundation.
Evolving regulatory requirements are putting additional strain on legacy systems. Compliance with new data privacy regulations, security standards, and reporting requirements is becoming increasingly difficult with outdated core systems, creating operational and legal risks for credit unions.
One of the most significant challenges in any core conversion is migrating decades of financial data accurately and completely. Credit unions struggle with data inconsistencies, missing information, and mapping complex relationships between different data elements. The risk of data loss or corruption during migration can have severe consequences for member trust and operational continuity.
Two key drivers of this challenge are the lack of resources (people/solutions with pattern recognition on the data conversion) and the lack of automation tools to deal with the unpredictability, messiness and volume of data.
Modern banking requires seamless integration between the core and numerous third-party systems and services. Legacy cores often lack open APIs and interoperability features, making integration with modern services difficult and expensive. Credit unions frequently find themselves trapped in a complex web of customizations and workarounds.
Core conversions are high-stakes projects with significant operational risks. Any downtime or functionality issues can directly impact member services and trust. The fear of disruption often leads credit unions to delay necessary modernization, creating a vicious cycle of increasing technical debt and growing conversion complexity.
Many credit unions lack the specialized technical expertise needed to execute a successful core conversion. The mainframe and legacy system knowledge required is increasingly scarce as skilled professionals retire. Additionally, the complexity of these projects demands higher-cost resources that may strain already tight budgets.
Core conversion projects typically span multiple years, with some credit unions reporting wait times of 2-3 years just to begin implementation with major providers.
These extended timelines delay the realization of benefits and create challenges in maintaining project momentum and stakeholder support. According to EY's case study, core modernization journeys often extend to five years or more.
Zengines' data migration solution leverages advanced AI algorithms to dramatically accelerate and de-risk the data conversion process. Our technology automatically analyzes source data, predicts optimal mappings, and identifies data quality issues in minutes rather than months. This AI-driven approach reduces the time and cost associated with data migration while significantly improving accuracy.
An incremental modernization process is crucial for credit unions that need to unlock their mainframe data for product innovation while keeping security at the forefront.
For credit unions with mainframe-based core systems, Zengines' Mainframe Data Lineage solution provides unprecedented visibility into "black box" legacy applications.
Our technology parses mainframe code, job schedulers, and data structures to create a comprehensive map of data flows, business rules, and system dependencies. This addresses what Fiserv identifies as a critical need: understanding the business case and outcomes before undertaking modernization.
Credit unions and banks implementing Zengines solutions have experienced remarkable improvements in their core conversion projects:
As one executive recently noted: "What would have taken our team months to accomplish manually, Zengines helped us complete in weeks. The AI-assisted mapping and transformation capabilities dramatically accelerated our timeline while giving us confidence in the accuracy of our data migration."
The urgency for credit unions to modernize their core banking systems continues to grow as we move through 2025. As FIS emphasizes, "A bank deciding to keep playing the waiting game is taking a major risk" in today's competitive landscape. Those that successfully navigate this transformation will be positioned to thrive in an increasingly competitive and digitally-focused financial services landscape.
With Zengines' AI-powered data migration and mainframe data lineage solutions, credit unions can overcome the most challenging aspects of core conversion projects, reducing risk, accelerating timelines, and ensuring a seamless transition for their members.
As the Federal Reserve Bank of Kansas City notes, "Depository institutions (DIs) that have already completed their core system modernization and realized the benefits have a competitive advantage in the banking and payments markets."
Don't let your technology project move too slowly or your data migration become a barrier to progress. Contact Zengines today to learn how our solutions can help your credit union successfully modernize your core banking system and prepare for the future of financial services.
We're excited to unveil our refreshed visual identity, a transformation that mirrors our company's evolution, recent funding success, and expanding product portfolio. This strategic rebrand marks a pivotal chapter in our story, reflecting our company's growth and evolution while honoring the core principles that have guided us from the beginning.
Born from a vision of technological freedom in 2020, Zengines emerged with a clear purpose: to ensure data maintains its utility and integrity when transitioning between systems to remain valuable regardless of technological evolution. We recognized that companies everywhere were being handcuffed by their data - trapped in legacy systems and hindered by the complex, time-consuming process of data migration. What should have been a straightforward path to digital transformation was instead a journey filled with roadblocks, delays, and frustration.
Our journey began with a powerful AI-driven data migration solution that dramatically simplified how organizations convert and migrate their valuable data end-to-end. As we partnered with more clients, we discovered a critical insight: many businesses couldn't even begin their migration journey because they were paralyzed by "black box" legacy systems. Decades of mainframe COBOL code and undocumented processes had created an impenetrable maze of data paths that no one fully understood.
This revelation led to our groundbreaking Mainframe Data Lineage product, technology that illuminates these black boxes by exposing the hidden data paths, calculation logic, and relationships buried within complex legacy systems. By helping companies understand their current data environment first, we enable them to confidently plan and execute their migration or modernization strategies.
Today, with our recent funding round success, our comprehensive platform addresses the full spectrum of data transformation challenges, from unveiling the mysteries of legacy code to seamlessly migrating data into modern systems. As we've grown from a promising startup to an established technology partner for global enterprises, we needed a visual identity that reflected this evolution and maturity.
Our refreshed identity system embodies our brand attributes of being trusted, exciting, and hyper-intelligent. The new design system is built around a sophisticated geometric serif logotype that communicates intelligence and innovation.
Our new color palette distinguishes the Zengines brand, adding meaning, energy, and depth to our identity.
A key visual element in our new identity is the Sankey illustration language, which makes visible the invisible connections between systems. Inspired by the fluid connections formed during data migration, this visual element adds movement and reflects the intelligent transformation at the heart of our work – all to maintain data continuity and utility through the inevitability of enterprise and systems change.
This new identity isn't just about aesthetics - it's a reflection of our growth and maturity as an organization. Our client roster has expanded significantly to include global enterprise organizations that recognize the critical importance of managing data transitions and modernization efforts effectively. These partnerships with Fortune 500 financial institutions, global wealth managers, and leading technology providers have pushed us to elevate every aspect of our business, including how we present ourselves visually.
As we've expanded our capabilities from AI Data Migration to include Mainframe Data Lineage, our visual system needed to convey the sophisticated technology and trusted expertise we bring to solving complex data challenges. Enterprise clients with decades of legacy systems and millions of customer records require a partner they can trust implicitly with their most valuable asset - their data. Our refined visual identity now properly reflects the enterprise-grade solutions we deliver and the confidence our clients place in us.
While our look has evolved, our fundamental mission remains steadfast: to create a world where data retains utility and integrity regardless of technological evolution, and technology decisions are based on business needs - not migration fears or legacy constraints. We remain committed to helping organizations reduce time, cost and risk while ensuring successful project outcomes through our AI-powered solutions that empower the business user.
As we continue to grow and evolve, this new visual identity will serve as a strong foundation for clearly communicating the value we deliver - making complex data migrations and research simpler, faster, and more reliable for our customers.
We will continue to serve our customers with the same dedication and innovation they've come to expect from Zengines, now with a visual identity that better reflects who we are today.
Schedule a demo with our team today.
In this episode of The Disruptor Podcast, host John Kundtz interviews Caitlyn Truong, CEO and Co-founder of Zengines.
While mainframes are highly performant and reliable, many organizations are seeking to modernize them to de-risk legacy technology.
Mainframe legacy technology is risky to organizations for several reasons, including:
According to Caitlyn, "There are more lines of COBOL code in existence than any other programming language," making mainframe modernization particularly challenging.
Caitlyn explains that Zengines' Mainframe Data Lineage product was developed when they discovered a client struggling to modernize because their mainframe was a "black box." The product ingests schemas, metadata, code (including COBOL and JCLs) to create a data lineage information base, helping business analysts understand calculation logic and conditions critical to modernization success.
Zengines' Mainframe Data Lineage product helps organizations understand their legacy systems by providing:
Caitlyn's recommendations for mainframe modernization success include:
Her most important advice is to "get started" rather than spending too much time planning: "You'll learn and get more value just by doing."
In today's increasingly regulated financial landscape, banks and financial institutions face mounting pressure to ensure complete visibility and traceability of their Critical Data Elements (CDEs). While regulatory frameworks like BCBS 239, CDD, and CIP establish clear requirements for data governance, many organizations struggle with implementation, particularly when critical information resides within decades-old mainframe systems.
These legacy environments have become the Achilles' heel of compliance efforts, with opaque data flows and hard-to-decipher COBOL code creating significant blind spots. Zengines Mainframe Data Lineage product offers a revolutionary solution to this challenge, providing unparalleled visibility into "black box" systems and transforming regulatory compliance from a time-consuming burden into an efficient, streamlined process.
For banks and financial services firms, managing Critical Data Elements (CDEs) is no longer optional - it's a fundamental regulatory requirement with significant implications for compliance, risk management, and operational integrity. Regulations like BCBS 239, the Customer Due Diligence (CDD) Rule, and the Customer Identification Program (CIP) mandate that financial institutions not only identify their critical data but also understand its origins, transformations, and dependencies across all systems.
However, for institutions with legacy mainframe systems, this presents a unique challenge. These "black box" environments, often powered by decades-old COBOL code spread across thousands of modules, make tracing data lineage a time-consuming and error-prone process. Without the right tools, financial institutions face substantial risks, including regulatory penalties, audit failures, and compromised decision-making.
"Financial institutions today are trapped between regulatory demands for data transparency and legacy systems that were never designed with this level of visibility in mind. At Zengines, we've created Mainframe Data Lineage to bridge this gap, turning black box mainframes into transparent, auditable systems that satisfy even the most stringent CDE requirements." - Caitlyn Truong, CEO, Zengines
Many financial institutions operate with legacy mainframe technology that can contain up to 80,000 different COBOL modules, each potentially containing thousands of lines of code. This complexity creates several critical challenges for CDE compliance:
"The challenge with mainframe environments isn't that the data isn't there—it's that it's buried in thousands of COBOL modules and complex code paths that would take months to manually trace. Zengines automates this process, reducing what would be weeks of research into minutes of interactive exploration." - Caitlyn Truong, CEO, Zengines
Zengines Mainframe Data Lineage product is purpose-built to solve compliance challenges like these by bringing transparency to legacy systems. By automatically analyzing and visualizing mainframe data flows, it enables financial institutions to meet regulatory requirements without the traditional manual effort.
Zengines ingests COBOL modules, JCL code, SQL, and other mainframe components to automatically map relationships between data elements across your entire mainframe environment. This comprehensive approach ensures that no critical data element remains untraced.
Instead of manually tracing through thousands of lines of code, Zengines provides interactive visualizations that instantly show:
This visualization capability is particularly valuable during regulatory examinations, allowing institutions to demonstrate compliance with confidence and clarity.
For BCBS 239 compliance, institutions must understand and validate calculation methodologies for risk data aggregation. Zengines automatically extracts and presents calculation logic in human-readable format, making it simple to verify that risk metrics are computed correctly.
When regulators question why certain customer records received specific treatment (critical for CDD and CIP compliance), Zengines can immediately identify the conditional logic that determined the data path, showing exactly which business rules were applied and why.
Zengines provides detailed metrics about your mainframe environment, helping compliance teams understand the scope and complexity of systems containing critical data elements.
"When regulators ask where a critical value came from or how it was calculated, financial institutions shouldn't have to launch a massive investigation. With Zengines Mainframe Data Lineage, they can answer these questions confidently and immediately, transforming their compliance posture from reactive to proactive." - Caitlyn Truong, CEO, Zengines
Financial institutions using Zengines Mainframe Data Lineage have experienced transformative results in their regulatory compliance activities:
While regulatory compliance drives initial adoption, financial institutions discover additional strategic benefits from implementing Zengines Mainframe Data Lineage:
"What we've discovered working with financial services firms is that CDE compliance isn't just about satisfying regulators—it's about fundamentally understanding your own critical data. Our Mainframe Data Lineage solution doesn't just help banks pass audits; it gives them unprecedented insight into their own operations." - Caitlyn Truong, CEO, Zengines
For financial institutions struggling with CDE compliance across legacy systems, Zengines offers a proven path forward. The implementation process is designed to be non-disruptive, with no modifications required to your existing mainframe environment.
The journey to compliance begins with a simple assessment of your current mainframe landscape, followed by automated ingestion of your code base. Within days, you'll have unprecedented visibility into your critical data elements – transforming your compliance posture from reactive to proactive.
In today's regulatory environment, financial institutions can no longer afford the uncertainty and risk associated with "black box" mainframe systems. Zengines Mainframe Data Lineage brings the transparency and traceability required not just to satisfy regulators, but to operate with confidence in an increasingly data-driven industry.