Author: Tim Yalich

Technology Migration Series

Part 2 of 4: Technology Modernization Strategies

Lending organizations built on tech platforms architected decades ago are confronting a growing set of pressures: aging infrastructure that resists modern tooling, calculation logic that may no longer reflect current compliance requirements, and a workforce of institutional experts approaching retirement. According to a 2026 industry survey¹ on platform migration and modernization in consumer lending, 87% of organizations are already engaged in migration in some form, with more than half planning to migrate within the next 12 months. The question is no longer whether to modernize, but how to build the technical case for doing so.

The Weight of Legacy Architecture

Legacy systems are not simply old. They are often monolithic in design, meaning their components are tightly coupled in ways that make isolated updates difficult, expensive, and risky. Every change becomes a major event, and the cumulative effect is a lending platform that grows harder to maintain with each passing year.

The resource burden this creates is substantial for lenders. The recent survey found that one-third of respondents spend 80 to 100% of their platform resources on maintenance rather than new development, with another 40.9% reporting that 60 to 80% of resources go toward maintenance.^¹ That leaves almost no organizational capacity for innovation, product expansion, or compliance readiness. Hardware and language ecosystems. Some lending institutions continue to operate on legacy platforms, such as IBM AS/400 systems, and maintain applications developed in programming languages like COBOL or RPG, which the broader technology industry has left behind. The operational continuity of these platforms depends on an ever-shrinking pool of people who understand them and hardware that grows harder to repair or replace.

Why Lending Institutions Delay: Structural Barriers, Not Complacency

Among lending organizations that have delayed migration, the reasons are primarily structural rather than philosophical. Cost constraints were cited by 28.6% of respondents as a barrier, and limited resources by 31.6%.^¹ Only 5.3% reported confidence in their current system as the reason for delay, meaning active resistance to modernization is a small minority position.

What most institutions are weighing is transition risk. They know their current platform’s shortcomings, and a migration introduces a new set of unknowns. Calculation logic that has been stable may behave differently in a new environment. Compliance processes that have been historically defensible may be disrupted during a rewrite. These concerns are legitimate and should be addressed directly in any modernization strategy.

A related and underappreciated risk is expertise dependency. Consumer lending calculation logic is a specialized discipline that can take years to master. When a key subject matter expert retires or departs, institutional knowledge can go with them. The 2026 survey found that 18.1% of respondents cited expertise dependency as an operational challenge, a figure that likely understates the true exposure across the market.^¹

API-Based Architecture: The Technical Foundation of Modern Platforms

The shift from locally hosted, monolithic systems to API-first architectures is the enabling condition for nearly every capability modern institutions need. An API-based platform allows calculation updates to be deployed centrally, eliminating the version drift that occurs when institutions manage their own module updates. It supports third-party integrations without rebuilding core functionality, and it provides the connective tissue that fraud detection, compliance tooling, and AI-driven capabilities require.

The market has recognized this priority. In the 2026 survey, API connectivity was the most commonly cited modernization priority at 31.4%, selected more frequently than cloud capability, scalability, or faster deployment.^¹ This means lending institutions are not simply looking for newer software, but instead want platforms that connect to the broader ecosystem of tools and regulatory data that modern operations require.

A microservices architecture makes this possible at scale. Where a monolithic system requires all-or-nothing updates, a microservices-based platform allows targeted changes to individual components. A compliance update can be deployed to the calculation engine without touching fraud logic. A new product type can be added without rebuilding underwriting workflows. This modularity reduces both the risk and cost of ongoing maintenance, and it compresses the deployment timelines that leave many institutions exposed during the gap between a regulatory change and its implementation.

The Strategic Case for Moving Now

Several converging forces are narrowing the window for deliberation. AI-driven capabilities are being built on modern, cloud-native architectures, and legacy platforms cannot natively integrate with them. Fraud threat actors are operating on modern infrastructure as well, meaning the defensive tools being developed to counter them are designed for environments legacy systems cannot host. Staying on an older platform is not a neutral choice; it is a decision to fall further behind on both dimensions simultaneously.

Business growth is accelerating this pressure further. Entering a new state, launching a new asset class, or expanding a branch network surfaces gaps in legacy platforms that may have been manageable at a smaller scale. The 2026 survey found that 76.5% of respondents rated their need to modernize as either extremely urgent or very urgent.^¹ Institutions that continue to delay are doing so against a competitive environment that is not waiting.

The Transition Gameplan

Most institutions will not execute modernization alone. The same 2026 survey found that 64.6% cited migration support as the most needed form of assistance, and 65.9% reported using a combination of internal development and third-party solutions. Hybrid delivery models are already the market norm.

When evaluating partners, institutions should look beyond technical capability to domain expertise. Consumer lending calculation logic requires sustained investment in regulatory tracking, compliance accuracy, and actuarial precision. A platform that is architecturally modern but lacks that depth may solve one problem while creating new exposure in areas that matter most to examiners and borrowers alike.

The transition from legacy to modern is not a single event. It is a shift in operating model that affects how compliance is maintained, how products are launched, and how institutional knowledge is preserved over time. Organizations that approach it as a long-term strategic investment rather than a discrete technology project are the ones most likely to emerge with a durable competitive advantage.

¹ Platform Migration and Modernization in Consumer Lending; Carleton Survey; May 2026 

Technology Migration Series

Part 1 of 4: Building the Business Case for Migration

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At the close of the twentieth century, organizations across nearly every industry faced a single, unavoidable deadline. Many computer systems built decades earlier stored calendar years using only two digits, and as 1999 turned to 2000, businesses worldwide scrambled to find and fix the flaw before it disrupted banking, government, and infrastructure systems all at once. Worldwide remediation costs are estimated by Gartner to have landed between three hundred billion and six hundred billion dollars, according to the Smithsonian Institution, making it one of the most expensive technology undertakings in history.

Lending institutions today face a similar reckoning, but without a fixed deadline. There is no single date forcing the issue, but the pressure to modernize core platforms may be more persistent than Y2K ever was. Where the millennium bug created one urgent, time-bound mandate, the forces pushing lenders toward modernization now do not arrive on a calendar date and do not resolve once addressed. Those forces include artificial intelligence readiness, fraud sophistication, regulatory complexity, and shifting borrower expectations.

They compound, year-over-year, for as long as the underlying platform stays the same.

For lenders, those pressures increasingly affect the systems responsible for loan calculations, compliance management, and regulatory disclosures.

The difference is that today’s modernization decisions are driven less by avoiding a catastrophic event and more by improving operational efficiency, reducing long-term costs, and creating the flexibility needed to compete in a constantly changing lending environment.

The Math of Standing Still

Technical debt, the accumulated cost of postponed fixes and workarounds layered onto aging code, has become one of the largest hidden liabilities sitting on the books of organizations running legacy infrastructure. The Consortium for Information and Software Quality estimated that poor software quality cost the United States economy at least 2.41 trillion dollars in 2022 alone, with accumulated technical debt reaching roughly 1.52 trillion dollars nationally.

Lending platforms are not exempt from that math. In lending, technical debt often accumulates within the systems responsible for calculations and compliance. Each year a core system goes unmodernized, the backlog of custom patches, manual workarounds, and brittle point-to-point integrations grows, and so does the eventual price of addressing it.

Recent industry survey data¹ illustrates the extent of the challenge. One-third of respondents reported spending between 80% and 100% of their platform resources on maintenance rather than new development, while another 40% spend between 60% and 80% maintaining existing systems. Organizations carrying that level of overhead often have limited capacity to support modernization initiatives.

Much of consumer finance still runs on infrastructure built for a different era. While many legacy systems remain reliable, they were not designed to support today’s requirements for AI, advanced fraud prevention, automation, and seamless integrations. As lending institutions look to streamline operations, these limitations can make growth more expensive and innovation more difficult to achieve.

What Inaction Quietly Costs

The case against modernizing usually centers on disruption, the worry that migration trades known problems for unknown ones. That concern is legitimate. But inaction rarely costs nothing, even when a quarterly budget makes it look that way.

Aging systems often require duplicate data entry, manual reconciliation, and exception handling that increase labor costs and slow decision-making.

Calculation engines and compliance management processes left unmodernized can become more difficult to maintain as regulations change. What begins as a relatively straightforward update to support a new fee structure, disclosure requirement, or lending product can evolve into extensive customization, testing, and validation efforts.

The survey findings1 suggest these concerns are already affecting lending organizations. Compliance risk was identified as the most common operational challenge by 35.4% of respondents, while 23.2% cited calculation accuracy as the area of their platform most in need of modernization. In an industry built on precision calculations and regulatory accountability, those findings highlight how quickly technical debt can evolve into operational and compliance exposure.

Institutional knowledge also tends to concentrate in a small number of people, creating additional risk as experienced personnel retire or move on.

The Competitive Calculus

Beyond risk avoidance, there is a real opportunity cost to delay. Accenture’s analysis of global payments found that banks slow to adopt next-generation payment capabilities risked up to $89 billion, or 4.6% of global payment revenue, within a few years of falling behind. For auto lenders specifically, the J.D. Power 2025 U.S. Automotive Finance Digital Experience Study identified speed as one of the top criteria shaping borrower satisfaction with digital lending tools, reinforcing that platform performance is no longer a back-office concern. Modern calculation and compliance platforms can help lenders respond faster to changes, launch new products more efficiently, and better support dealer and fintech integrations. These capabilities extend beyond customer experience and affect overall operational performance.

Reframing the ROI Question

The strongest argument for modernization is not that legacy systems are old. It is that the budget and talent tied up in maintaining them are budget and talent unavailable for growth.

Deloitte’s research on technology investment found that the average IT department spends more than half of its technology budget, 55%, on maintaining existing business operations and only 19% on building new capability. That ratio is the real return on investment calculation institutions should be running: not simply what modernization costs, but what continuing to fund the status quo already costs in foregone innovation.

Modernization initiatives are often evaluated solely through implementation costs alone, overlooking long-term savings from reduced maintenance, fewer manual processes, and improved scalability.

The Question Worth Asking

The Y2K crisis resolved the way it did because organizations treated a known, quantifiable risk as worth addressing before it became a crisis rather than after. Whether Y2K was ultimately overblown or not, organizations acted before the risk became reality.

Today’s lenders face a less dramatic but no less consequential version of that same choice. The question is not whether legacy infrastructure will eventually become a liability. For many institutions, the data suggests it already has. The more useful question is how much that liability is currently costing, and how much larger the eventual modernization effort becomes with every year of delay.

For lenders, modernization is not simply about replacing aging technology. It is about ensuring the systems responsible for calculations and compliance can support future growth without increasing cost, risk, and operational complexity.

1: Carleton Migration Readiness Survey – May 2026

The era of the one-cent piece has reached its conclusion. Following a White House directive to the Department of the Treasury on February 9, 2025, the U.S. Mint ceased regular production of the penny, citing a production cost of 3.7 cents per unit. While the Mint completed its final regular run in November 2025, the anticipated “buffer” of 114 billion pennies in circulation has proven insufficient to prevent localized shortages.

Federal Reserve terminals are already experiencing deficits, forcing lenders and vendors who allow cash transactions to make immediate decisions on how to handle this in a “nickel-minimum” economy.

For the small-dollar and payday lending industry, this transition is more than a logistical curiosity. It impacts the entire loan cycle, from disbursement to the final payment on a credit product that sees high volatility in disclosure values when even slight adjustments are made. As we head into major industry periods like the annual tax refund season, leaders in the small-dollar space must evaluate and coordinate their approaches to address the calculative and regulatory risks emerging from this currency shift.

The New Gap: Interest, Fees, and Rounding 

The most significant impact of the penny’s retirement for lenders who accept cash lies in the exactitude of financial calculations. Currently, state laws regarding interest rate caps and fee structures are rigid: calculations must be precise to the penny, particularly in this highly regulated space. Guidance from the Treasury and the National Council of State Legislators (NCSL) is clear that interest and fee calculations must occur before any rounding takes place.

The removal of the penny creates a practical challenge for lenders who accept cash payments at branch locations. When a borrower’s final payoff amount is something like $302.03, the lender must decide how to handle the cents that cannot be tendered in cash. One option is to round the amount up and require the borrower to pay $302.05. However, this effectively increases the consumer’s cost and would generally only be acceptable to regulators or examiners if clearly disclosed and reflected in the finance charge and APR calculations. The more common approach is to round down and waive the remaining amount. While a two‑ or three‑cent waiver may seem insignificant on an individual loan, these small adjustments can compound across a portfolio of small‑dollar accounts. And this example considers only the final payment—if every periodic payment must be rounded, and the servicing system cannot properly support those adjustments; the operational and financial impact can become much more substantial.

States are unlikely to move to nickel increments for interest rate caps because doing so would jeopardize the stability of electronic commerce. In other words, dollar and cent payments are not changing due to the option for electronic payments. Digital payments—via ACH, debit cards, or mobile apps—account for the vast majority of volume and will remain precise to the cent. Consequently, small-dollar finance leaders must prepare for a dual-track system where electronic transactions remain penny-precise, while cash-heavy storefront environments navigate a “50-state gauntlet” of rounding inconsistencies or special requirements.

The Vital Role of Cash in Short-Term Credit 

While the broader financial world moves toward digitization, the small-dollar lending industry remains uniquely tethered to physical currency. Sky-high interest rates and tightening credit have made managing household liquidity more daunting than it’s been in years. This economic pressure has forced many consumers to rethink how they manage their day-to-day finances.

For the underbanked or unbanked populations that rely on payday and small-dollar loans, the reliance on cash is often a necessity rather than a preference. When a borrower visits a storefront to make a cash payment, the “penny story” ceases to be a headline and becomes a critical point of friction.

Beyond the teller window, the lack of a federal regulatory framework around rounding carries significant legal risks. Because states have largely refrained from issuing new regulations specifically for small-dollar lenders, companies are essentially making spot decisions on currency rounding at the point of payment. This impacts the servicing side of the loan lifecycle. If a borrower provides a cash payment, the inconsistency in rounding rules could lead to disputes over whether a loan has been “paid in full” or if a deficiency of a few cents remains. Mathematical precision in both origination and servicing is critical. In the highly regulated world of small-dollar lending, this is not merely a matter of spare change; it is a matter of contractual precision and compliance audit trails.

New Strategies for 2026 

The elimination of the penny highlights how industry leaders must move beyond the migration mindset and dive into the compliance conundrum created by this shift. For payday and small-dollar lenders, where thin margins and high regulatory scrutiny are the norms, the stakes are particularly high. By establishing clear rounding protocols now, lending companies can protect themselves from the legal and calculative risks of a shifting currency landscape.

While the penny may be a small denomination, the lack of clarity surrounding its departure could lead to outsized headaches for the unprepared. As we move through 2026, the lenders who succeed will be those who bridge the gap between digital precision and the reality of a nickel-minimum cash economy.

The automotive market of the mid-2020s is defined by elevated vehicle prices, making outright financing unaffordable for a growing segment of consumers. For member-centric credit unions, this landscape has driven a significant strategic shift: reliance on leasing to provide members with affordable monthly payments.

Leasing is a product focused almost entirely on the basis of the payment, addressing member affordability concerns directly and serving as an important tool for credit unions looking to grow their auto portfolios and retain market share. However, as credit unions venture further into this space—a segment where calculation complexity far exceeds traditional loans—the need for pinpoint accuracy in every lease payment has never been higher. The difference between portfolio growth and operational peril rests entirely on the integrity of the underlying math and compliance engine.

Why Leasing Matters to Your Membership

The data confirms that leasing is increasingly a necessary service for credit unions to offer. Industry reports have noted a significant upward trend, with credit union-supported leases jumping from approximately 50,000 in 2021 to 64,000 in 2022. Furthermore, a large majority of responding credit unions have indicated intentions to increase their leasing portfolio in the near term. This organic growth is driven by necessity: when a member needs a reliable vehicle but cannot afford the higher retail installment contract payment, leasing provides the necessary path to affordability.

For a credit union, leasing is a powerful tool for retaining members and increasing market share in a highly competitive lending environment. However, to capitalize on this trend, credit unions must recognize that leasing operates under an entirely different set of computational and regulatory rules compared to standard retail financing. For a segment of the industry that often lacks the internal bandwidth of larger commercial banks, errors in calculation or non-compliance due to outdated systems can quickly negate the strategic benefit and introduce significant financial and reputational liabilities.

More Than a Dollar Error 

In a traditional retail installment contract, the sale price and interest rate are the primary drivers of the payment obligation. In leasing, the payment is a complex function of Capitalized Cost, Residual Value, the rent charge (money factor), and the highly granular handling of fees and taxes. A dollar error in the calculated payment—a figure typically derived through solving for the rent charge and depreciation—is not a trivial mistake. It is an error multiplied across the life of the lease, affecting depreciation, the residual value, and, most critically, the calculation and remittance of taxes and fees.

For member-owned institutions, inaccuracies quickly lead to immediate operational burdens, such as costly refunds and corrections, which can cost more to manage than the amount refunded. More damagingly, calculation mistakes can severely risk reputation. The credit union’s value proposition is built on trust and a commitment to member financial well-being, and a miscalculated, non-compliant payment can quickly erode that foundation.

Credit unions must also manage the difference in final payment handling. Unlike retail financing, where the final payment may absorb odd cents, leasing often requires truncation—where the final payment is reduced to allow all lease payments in the stream to be equal—which must be precisely accounted for to minimize charge-offs.

Addressing the Calculation Minefield: The CU Liability 

The critical challenge in lease origination is not the simple money factor application, but the highly granular handling of ancillary costs and regulatory requirements. Credit unions accustomed to standard retail loan procedures must master three distinct areas of complexity that pose a significant liability: Cap Cost Reduction (CCR) application, integration of fees and insurance, and state-specific tax methodologies.

First, the application of CCR is deceptively complex. CCR is determined by the structured application of down payments, trade-in equity, and rebates toward the capitalized cost. The precise processing order (e.g., Rebate first, then Trade, then Cash Down) is vital because it is influenced by specific lending program policies and state-level tax laws. If the system is not configured to follow this explicit order, it can incorrectly identify the taxable basis, creating an immediate compliance issue.

Secondly, the integration of ancillary products and fees require sophisticated handling. Fees can be flat or percentage-based, but their basis (e.g., total payments, residual value, or cash price) and taxability must be correctly determined. Furthermore, credit insurance products require intricate computations to ensure compliance with state-specific premium caps and age requirements. A truly compliant calculation engine must be able to handle complex functions like fee truncation or applying set maximums, ensuring the rules are followed exactly.

The greatest source of non-compliance risk remains state-specific taxation. Lease taxation can vary wildly across jurisdictions, involving Use Tax (calculated on the base payment), Tax on Sale Price, Tax on Total of Payments, or Rent/Depreciation Tax. Credit unions must ensure their systems can accurately track whether the tax is paid upfront or capitalized over the term—a level of detail that necessitates a computation engine specifically configured for every jurisdiction’s unique parameters. Trying to manually maintain or internally code for this dynamic regulatory flux is both impractical and a major financial liability for most credit unions.

Recognizing Compliant Growth: Leveraging External Expertise 

The opportunity to expand the auto portfolio through leasing is strategically clear, but the operational realities are often overwhelming. Most credit unions, particularly those that are not large corporate entities, lack the internal bandwidth and horsepower to successfully manage all facets of a leasing operation, including taking on the residual risk and managing the title ownership of the vehicles. Trying to build or maintain the expertise necessary to manage the specialized, constantly changing computational and regulatory landscape in-house is not only cost-prohibitive but carries immense risk.

The path to compliant and sustainable growth for the credit union industry is through strategic partnerships. By leveraging outside platforms that specialize in granular, state-of-the-art lease calculation precision, credit unions can effectively outsource the burden of computational compliance, regulatory monitoring, and tax administration.

This strategy allows the credit union to focus on its core mission—serving its members with affordable, reliable financing options—while ensuring the integrity of the lease payment, which remains the ultimate and most critical benchmark of a profitable and compliant transaction. Investing in a robust calculation infrastructure is no longer optional; it is the foundation upon which the future of the credit union auto portfolio must be built.

Loan calculation may seem straightforward in terms of a rate, a term, a principal amount and the monthly payment being derived. However, recent industry survey data makes clear that this surface-level simplicity masks a far more complex reality.

For banks and fintech lenders, calculation accuracy isn’t just a back-office detail. It is the foundation of compliance, profitability, and customer trust. Yet two-thirds of banking and fintech institutions admit they encounter recurring loan calculation errors, and 60% say they struggle to keep pace with regulatory changes. These are not small, isolated missteps—they represent systemic risks that ripple through the entire lending process.

The numbers tell a troubling story: miscalculated fees, incorrect APRs, and human entry mistakes are creating rework, triggering audits, and even leading to legal exposure. If the “engine” powering digital lending platforms and banking operations isn’t built for precision and compliance, it isn’t just inefficient—it’s dangerous.

Beyond the Basics: Why Errors Multiply

Survey results show that over two-thirds of lenders experience loan payment discrepancies weekly or monthly. That means hundreds, if not thousands, of inaccurate payments and disclosures entering the system every year. The common culprits—fees, add-ons, APR calculations—might look like small slips, but they can turn into serious compliance violations.

Consider an online platform or bank branch that issues a loan with the wrong APR calculation. Not only does the customer see a misrepresented cost of credit, but the loan contract itself could be rendered non-compliant under Truth in Lending Act (TILA) rules. The cost of that single error may include fines, penalties, or worse: reputational damage that undermines consumer trust.

In digital and traditional banking, where speed, accuracy, and transparency is paramount, these errors represent an industry-wide liability.

The Strain of Ever-Changing Regulations

Regulatory change management emerges as another flashpoint, in which sixty percent of lenders say they struggle to align internal systems with new rules, and nearly a quarter admit it can take them three months or longer to fully implement updates.

This delay is not just inconvenient—it’s risky. Regulations evolve constantly, from federal statutes like TILA and banking/compliance protection regulatory guidance to state-level usury caps and disclosure mandates. A three-month lag can expose lenders to non-compliance for an entire quarter’s worth of originations. For banks and fintechs, that’s thousands of contracts potentially out of compliance with the law.

Additionally, the top compliance challenges include interpreting complex regulations (21%), updating and testing loan logic (19%), and coordinating changes across multiple systems (18%). As mentioned, with nearly 60% of lenders admitting they struggle to keep systems aligned with regulatory changes, these numbers reinforce a clear reality: too many organizations are still relying on fragmented tools and manual processes to manage obligations that demand precision and speed.

Complexity in Modern Loan Structures 

As if compliance weren’t enough, the very structure of today’s bank-originated and fintech loans is making accuracy harder to achieve. Tiered rates, complex payment schedules, and add-on interest rate conversions introduce new layers of complexity that legacy systems simply weren’t designed to handle.

Thirty-one percent of lenders said these structures significantly disrupt their processes, while 17% called them a constant source of problems. Only 14% felt confident that their current tools could manage them seamlessly.

For consumers, this translates into delays in funding approvals and confusing, inconsistent disclosures. For banks and fintechs, it creates yet another point of compliance exposure, and with 14% admitting they lack confidence in their current compliance tools, this limitation can directly hinder growth by constraining how aggressively they originate and scale loans. In short, the loan structures designed to offer flexibility are also amplifying operational risk.

From Manual Burden to Automation Imperative

The recent survey data also highlights the operational burden of keeping up. More than a quarter of lenders said their organizations require cross-functional teams just to manage compliance updates. Day-to-day efficiency suffers as staff time is pulled away from serving customers and redirected toward firefighting compliance problems.

The frustrations voiced by respondents were telling. The most common concern was the risk of making a costly compliance error, followed closely by the time required to finalize deals and the ongoing burden of ever-changing regulations. Manual data entry and paperwork—still shockingly prevalent in many organizations—added yet another layer of inefficiency.

In an industry where consumer expectations are shaped by one-click digital transactions, these slow, error-prone processes create a competitive disadvantage.

What Banks and Fintechs Want: A Compliance Engine, Not a Calculator

When asked what would most improve their operations, lenders pointed to several recurring themes. They want calculation tools that are more accurate and reliable, reporting capabilities that enhance audit readiness, and stronger integration between platforms such as customer relationship management (CRM) systems, core banking or fintech platforms, and loan origination systems (LOS). Just as important, they want real-time monitoring that flags potential compliance violations before they result in exposure.

Taken together, these needs point to a single conclusion: banks and fintechs don’t just need “calculators.” They need compliance engines—tools capable of integrating across platforms, adapting automatically to regulatory changes, and ensuring every disclosure, fee, and corresponding APR value is accurate from the start.

Free or legacy calculators may seem appealing on the surface, but as regulators scrutinize disclosures and fee calculations with increasing intensity, the limitations of these tools become glaring liabilities. A simple spreadsheet may not distinguish between interest accrual methods, recognize state-specific fee treatments, or adapt to daily interest calendars. Each gap represents a hidden compliance risk waiting to surface.

In a competitive market, banks and fintechs can’t afford to gamble on outdated tools. The risks—from customer dissatisfaction to regulatory fines—are simply too great.

The True Competitive Advantage 

Banks and fintechs must rethink how they view compliance. It is not a back-office function or a “necessary evil.” It is the foundation of consumer trust and, ultimately, a competitive advantage.

A bank or fintech lender that can deliver accurate disclosures, seamless calculations, and timely compliance adjustments will stand apart in a crowded market. Conversely, one that lags behind risks losing twice: once to regulators, and again to customers who choose a faster, more transparent competitor.

The latest survey data shines a spotlight on an industry at a critical juncture. Calculation errors, compliance delays, and operational inefficiencies are holding lenders back. But the path forward is clear. By investing in robust compliance engines that integrate seamlessly across platforms, adapt dynamically to regulation, and eliminate manual errors, banks and fintechs can turn compliance from a burden into a differentiator.