Key Takeaways
- The Federal Reserve's latest Small Business Credit Survey shows 7% of small businesses now use merchant cash advances regularly, up from 6% the previous year, while 12% of financing applicants sought MCAs specifically.
- Rising MCA adoption is compressing underwriting timelines and forcing funders to rethink manual bank verification processes that cannot scale with volume.
- Funders relying on scheduled phone calls or static document review face a growing bottleneck as deal flow accelerates across the industry.
- Asynchronous, AI-guided bank verification workflows offer the clearest path to scaling verification capacity without proportionally scaling headcount.
- The combination of higher applicant volumes and cooling SMB lending sentiment in adjacent channels means MCA funders must verify more applicants who may carry higher risk profiles.
MCA Adoption Just Hit a New High, and Verification Workflows Are Not Ready
The latest Small Business Credit Survey from the Federal Reserve confirms what many in the alternative lending space have felt on the ground: merchant cash advance usage is climbing. Seven percent of businesses with fewer than 500 employees now use MCAs on a regular basis, up from 6% the year before. Among businesses that actively applied for financing, 12% sought an MCA, jumping from 9% in the prior survey cycle. These numbers matter because they represent a structural shift in how small businesses access capital, and that shift is putting enormous pressure on bank verification software for funders who need to underwrite these deals accurately and quickly.
At the same time, LendingTree reported that SMB lending is cooling slightly across traditional channels, with fewer small merchants seeking conventional loans as macroeconomic uncertainty persists. The implication is clear: businesses that might have gone to a bank or an online lender are increasingly turning to MCAs. Funders are seeing more applications, from a broader range of merchants, with risk profiles that demand careful verification. The question is whether their underwriting infrastructure can keep up.
The Volume Problem with Manual Bank Verification
Why Phone-Based Verification Breaks at Scale
Most MCA funders still rely on some form of live bank verification. An underwriter schedules a call with the applicant, walks them through their banking portal, and manually confirms balances, transaction history, and account ownership. This process works when you are funding a handful of deals per week. It collapses when deal flow increases by even 15 to 20 percent.
Consider the math. If an underwriter spends 30 minutes per verification call, plus another 15 minutes coordinating schedules across time zones, each verification consumes roughly 45 minutes of productive time. At 10 verifications per day, a single underwriter is maxed out. Now add the Federal Reserve's data showing MCA applications jumping from 9% to 12% of all financing applicants. That is a 33% increase in inbound volume. Without new hires or new technology, verification becomes the bottleneck that delays every funding decision downstream.
The problem compounds because applicants do not always answer on the first attempt. Rescheduling adds days to the process. And every day a deal sits in verification limbo is a day a competitor can fund it first. As we explored in our analysis of how speed to lead depends on bank verification software for MCA brokers, the funder who verifies fastest often wins the deal.
Static Documents Miss Too Much
Some funders try to solve the volume problem by accepting uploaded bank statements instead of conducting live verification. This approach scales better but introduces a different risk: document manipulation. PDF statements can be edited with basic tools, and increasingly sophisticated fraud operations use generative AI to produce synthetic bank statements that pass casual review. A static document tells you what someone wants you to see. It does not prove they logged into a real banking portal and navigated to real transaction data in real time.
The gap between what a document shows and what is actually in a bank account is where fraud lives. As MCA adoption grows, so does the incentive for bad actors to exploit this gap. Funders processing higher volumes with static document review are statistically more exposed, not less.
API-Based Verification Has Its Own Ceiling
Open banking APIs and credential-based bank data aggregation tools offer another path. These platforms pull transaction data directly from financial institutions, eliminating the need for manual document review. For certain lending verticals, they work well. For MCA underwriting specifically, they have meaningful limitations.
First, coverage is uneven. Many small business owners bank with regional institutions, credit unions, or use business accounts that are not fully supported by aggregation networks. In Canada, where open banking infrastructure is still maturing under the consumer-driven banking framework, coverage gaps are even more pronounced. Second, API-based tools provide raw data but not visual confirmation of a live banking session. An underwriter reviewing API-pulled transactions cannot see whether the account holder actually navigated their portal, whether the URL matched a legitimate banking domain, or whether the session showed signs of manipulation. Third, merchants are sometimes reluctant to share banking credentials with a third-party aggregator, creating friction that slows the application process.
None of this means API-based tools are useless. They serve a purpose. But for MCA funders who need both speed and visual verification evidence, they leave gaps that manual processes or static documents cannot fill either. The industry needs a middle path, and in 2026, that middle path is asynchronous screen-recorded verification.
How Async Bank Verification Scales with Rising MCA Adoption
Asynchronous bank verification solves the core tension between volume and rigor. Instead of scheduling a live call, the funder sends the applicant a secure link. The applicant opens the link, records their banking portal session directly in the browser (no software installation required), and submits the recording. The underwriter reviews it on their own schedule.
This model eliminates scheduling overhead entirely. An applicant in Vancouver can record their session at 9 PM Pacific. An underwriter in Toronto can review it at 8 AM Eastern. No coordination, no missed calls, no rescheduling. The verification happens in parallel with the rest of the underwriting process rather than blocking it.
AI-Guided Recordings Ensure Verification Quality
Volume without quality is just noise. The risk with any self-service verification model is that applicants might record the wrong screens, skip key sections, or submit incomplete sessions. This is where AI-guided recording changes the equation.
Exact Balance uses an AI-powered floating coach that walks applicants through each step of the recording process in real time. The system detects whether the applicant has shown the required account summary, navigated to the correct date range, and displayed the specific transaction details the funder requested. If a step is missed, the coach prompts the applicant before they finish. The result is a complete, reviewable verification recording on the first attempt, not a back-and-forth cycle of resubmissions.
For funders, this means every recording that lands in the dashboard is ready for review. The underwriter watches the session, confirms transaction authenticity by observing the live banking portal in action, and marks the verification as complete. One click. Full audit trail. The entire process, from request creation to verified status, can happen in hours rather than days.
Fraud Detection Through Visual Evidence
Screen-recorded bank verification provides a layer of fraud detection that neither static documents nor API data can replicate. When an underwriter watches a recorded session, they can observe whether the banking portal loads from a legitimate URL, whether page transitions look natural, whether balances and transactions render in real time or appear to be pre-staged. These visual cues are extremely difficult to fake convincingly, especially at scale.
As we detailed in our piece on how AI fraud detection for business lending stops synthetic bank portals, sophisticated fraud operations have started building fake banking interfaces that mimic real portals. Video evidence of a live session, with visible URL bars, natural page load behavior, and real-time data rendering, is one of the strongest defenses against these attacks. The recording itself becomes a compliance artifact that auditors, regulators, and legal teams can reference months or years later.
What Rising Adoption Means for Risk Profiles
The Federal Reserve data does not just show more businesses using MCAs. It shows a broadening of the applicant pool. When MCA usage grows from 6% to 7% of all small businesses, and from 9% to 12% of financing applicants, the marginal new applicants are not necessarily the same profile as the existing base. Some are businesses that previously qualified for bank loans but now face tighter credit conditions. Others are businesses that are earlier in their lifecycle or operating in sectors under macroeconomic pressure.
This diversification of the applicant pool makes thorough bank verification more important, not less. A funder cannot assume that rising volume equals rising quality. Each applicant's bank activity needs to be individually assessed: cash flow patterns, deposit consistency, NSF frequency, evidence of stacking with other funders. The verification process is where this assessment begins.
LendingTree's observation that SMB lending is cooling in traditional channels reinforces this dynamic. Merchants who are being turned away from conventional lenders may carry risk factors that are only visible in their bank transaction history. Funders who invest in robust verification infrastructure will catch these signals early. Those who cut corners to keep pace with volume will absorb the losses later.
We explored a related angle in our analysis of how SMB lending cooling signals reshape bank verification software for funders, and the pattern is becoming more pronounced with each quarterly data release.
Frequently Asked Questions
What does 7% MCA usage among small businesses mean for funders?
It means the addressable market is growing, but so is verification demand. The Federal Reserve's Small Business Credit Survey found that 7% of businesses with fewer than 500 employees now use MCAs regularly, and 12% of all financing applicants specifically sought merchant cash advances. For funders, this translates to higher inbound volume and a broader range of applicant risk profiles. Verification workflows built for lower volumes will struggle to keep pace without automation or asynchronous processes.
How does async bank verification improve MCA underwriting speed?
Asynchronous verification eliminates the scheduling bottleneck that slows traditional phone-based bank verification. Instead of coordinating a live call across time zones, the applicant records their banking portal session at their convenience using a browser-based tool. The underwriter reviews the recording on demand. This parallel workflow can compress verification timelines from days to hours, allowing funders to close deals faster without adding underwriting headcount.
Can screen recordings detect bank statement fraud better than document review?
Yes. Screen recordings capture a live banking session in real time, including URL navigation, page load behavior, and dynamic data rendering. These visual signals are far harder to manipulate than a static PDF bank statement. An underwriter can observe whether a portal is legitimate, whether transactions appear genuine, and whether any elements of the session look staged or synthetic. The recording also serves as a timestamped audit trail for compliance purposes.
What bank verification software scales best for MCA funders?
The most effective bank verification software for funders combines asynchronous workflows with AI-guided quality controls. Platforms like Exact Balance let funders send verification requests to applicants via email, receive browser-based screen recordings of live banking sessions, and review them from a centralized dashboard. AI-guided recording ensures applicants capture the right screens on the first attempt, reducing resubmission cycles and accelerating the overall underwriting timeline.
Conclusion
The Federal Reserve's data makes one thing clear: MCA adoption is not a niche trend anymore. With 7% of small businesses using advances regularly and application rates climbing, funders face a straightforward choice. Scale verification capacity to match the growing demand, or let the bottleneck cost them deals, increase fraud exposure, and slow their entire operation.
Asynchronous, AI-guided bank verification is the infrastructure that makes scaling possible. No scheduling, no software installs, no incomplete recordings. Just verified evidence of live banking sessions, reviewed on your timeline, with a full audit trail for every deal.
Visit exactbalance.ca to see how async bank verification fits into your underwriting workflow and keeps pace with the volume your team is already seeing.