Unlocking SMB Growth: Community Lenders Bridge the Gap with AI & Cashflow

Small businesses are the vibrant engine of the American economy, yet many struggle to secure the financing they need. Traditional lending practices often treat a small business loan request with the same stringent processes as multi-million dollar corporate deals, creating an inefficient system. This leads to a significant lending gap, with many small and medium-sized businesses (SMBs) being turned away by larger banks if their financials don’t align with automated scoring models.

However, a new era is dawning. Forward-thinking community banks and credit unions are revolutionizing SMB lending. By leveraging innovative financial technology partners and embracing cashflow-based underwriting models, these institutions are proving that scalable and profitable small business financing is not only possible but a powerful driver for customer loyalty and growth.

The early indicators are compelling: approval rates have doubled, processing capacity has increased tenfold with existing staff, and, remarkably, risk outcomes have improved. This transformative shift is enabling community institutions to better serve their local economies and establish deeper, more enduring relationships with business owners.

The Challenge: Small Loans, Big Costs for Traditional Lenders

The conventional approach to small business lending is fundamentally flawed. Many SMB owners lack the sophisticated financial statements that traditional underwriting demands. The labor-intensive process of collecting, analyzing, and approving these applications makes small-dollar loans prohibitively expensive to originate for banks.

“We were treating $50,000 loan requests the same way we were treating $10 million loan requests,” explains Bill Cunningham, Executive Vice President of Business and Commercial Banking at Vancity. He notes that the quality of information often diminishes when dealing with smaller businesses.

Brian Devereux, Senior Vice President and Chief Lending Officer at Unitus Community Credit Union, witnessed similar inefficiencies. His team spent weeks communicating with applicants who were unfamiliar with complex financial terminology. “Small businesses just don’t speak financials,” Devereux states, highlighting that owners are focused on their trade, not extensive financial documentation.

This capacity crunch is a widespread issue. Alex McLeod, founder of Parlay, an AI-powered lending platform, emphasizes, “That capacity problem is rampant. At every credit union and community bank I’ve talked to, that is the limiting factor.”

The Solution: Cashflow-Based Underwriting for Faster Decisions

The breakthrough for many community lenders lies in shifting from historical financial statements to real-time cashflow data. Instead of demanding tax returns and audited financials, institutions now securely connect directly to an applicant’s bank accounts and transaction history. This provides a dynamic, predictive view of the business’s ability to service debt.

Vancity pioneered this innovative strategy in 2017 with Judi.ai, a cashflow-based underwriting platform. The impact was significant. With virtually the same headcount, the credit union escalated its small business loan application processing from 40-60 per month to over 400. Cunningham confirms, “Really, a 10x increase in the number of small business members where we were actually processing loan applications.”

Crucially, this increase in volume did not compromise risk. “Not only has there not been a corresponding increase in probability of default, but as a percentage basis, it’s actually improved,” Cunningham adds, demonstrating that better data leads to smarter lending decisions.

Unitus Community Credit Union experienced a similar transformation. Their SMB application approval rate doubled from roughly 30% to 60% after adopting Judi.ai. In their first year using the platform, Unitus booked 126 loans, with decision times plummeting from weeks to as little as eight hours. “All you need is 12 months of checking account data and a credit pull,” Devereux affirms. “It really is that straightforward.”

AI for Efficiency, Humans for Relationships

A key principle across these successful implementations is that technology streamlines the administrative tasks, allowing relationship bankers to remain at the core of the process. AI aggregates documents, calculates financial ratios, and prepares credit-ready files, empowering human lenders to make informed decisions and build stronger client relationships.

“Our mission is to help those relationship bankers stay relationship bankers, but just make it high tech,” says Alex McLeod of Parlay. Her platform ensures loan officers can focus on advising clients instead of sifting through paperwork.

A compelling example: Pathway Lending, a Community Development Financial Institution (CDFI) specializing in loans for underserved small businesses, utilized Parlay’s platform for a campaign. They received over 30 applications in under 24 hours, with several loans approved the same day. Borrowers connected financial accounts and tax transcripts in real-time, and the system instantly processed the data, generating a lender-ready file without the typical back-and-forth document requests.

Roger Vincent, co-founder of UK-based Bourn, highlights the potential of an “always-on audit.” His firm connects a borrower’s accounting system, bank account, and credit bureau data for continuous monitoring, replacing costly periodic site visits. Vincent states, “We’ve gone through 15, 20 years of disruption within the fintech space, but now’s the time that the banks can fight back.”

Daniel Goldstone, CEO of Rangeteller, emphasizes the importance of transparency in AI-driven lending. His platform’s machine learning models are fully explainable, crucial for credit committees and regulators. “If we have machine learning or AI, it’s got to be explainable,” he notes.

The Primacy Payoff: Lending as a Gateway to Deeper Relationships

The strategic benefits of effective SMB lending extend far beyond mere loan originations. Institutions that excel in this area find it becomes the foundation for robust, multi-product relationships that are incredibly difficult for competitors to disrupt.

Vancity’s data confirms this, showing that over 94% of business members approved for loans in recent years remain active members and often active borrowers. Their portfolio heavily features lines of credit, meaning borrowers also maintain active operating accounts. Cunningham elaborates, “When it comes to primacy, if you’ve got their day-to-day business banking, that opens the door to real deep-rooted stickiness.”

At Unitus, SMB lending also aligns with their community mission. In 2025, 83% of their bookings were with women, minority, or veteran-owned businesses, reflecting a strategic commitment to lend $5 million to traditionally underserved small businesses. “It’s the foundation of the community,” Devereux states.

McLeod of Parlay sees cross-sell opportunities embedded within the lending process itself. The rich data gathered during loan applications—transaction history, cash flow patterns, existing accounts—can reveal other products a borrower might benefit from. “Traditionally, your average loan officer is not going to go looking for that type of data. They don’t have time. We’re just serving it up to them,” she says.

The Competitive Window: A Finite Opportunity

The SMB lending gap presents a significant opportunity, but it’s not limitless. Fintechs and alternative lenders continue to capture market share by offering speed and simplicity, often at higher costs for borrowers. Daniel Goldstone estimates that smaller lenders have ceded approximately $50 billion in the past decade across personal loans, mortgages, and small business credit.

Among Rangeteller’s clients, implementing their transparent AI framework has led to an average 20% increase in loan approvals with zero additional risk from day one. Steve Kietz, managing partner at Woodbury Advisors, believes AI’s most immediate impact is in optimizing the operational layers of lending, such as summarizing applications, prioritizing deal flow, and matching applications to the best underwriters.

Community institutions possess critical advantages: affordable capital and deep community ties. What they’ve historically lacked is the technology to make small-dollar lending economically viable. That technology is now readily available. The institutions moving swiftly are demonstrating that community-focused lending and modern efficiency can be seamlessly integrated, leading to growth, stronger local economies, and enhanced relationships.

Source: Thefinancialbrand.com