Fundingo Insights: Navigating Loan Management Software and Financial Innovation

For decades, the lending industry built its entire risk infrastructure around credit history — willingness to pay. But ability to pay, measured through actual cash flow data, was largely ignored. Not because it lacked predictive power, but because in the 1970s, it was technically impossible to process at scale.

That constraint no longer exists. With open banking, real-time transaction access, and new regulatory tailwinds from the CFPB and OCC, cash flow underwriting is finally having its moment — and the implications for CDFIs, community lenders, and the 26+ million credit-invisible Americans are enormous.

📖 Read the full article: Why Cash Flow Underwriting Is Finally Catching On — Fundingo

Brought to you by Fundingo — Loan Management Software Experts.

For decades, lenders built their entire risk infrastructure around one half of the borrower equation — willingness to pay. Credit bureaus, FICO scores, and decades of analytics all pointed in the same direction. Meanwhile, the other half — actual ability to pay, as seen through real cash flow data — was largely ignored. Not because it wasn't valuable, but because the technology to use it simply didn't exist when modern credit infrastructure was built in the 1970s.

That constraint has now dissolved. Bank transaction data is accessible in near real time, open banking rules are making consumer-permissioned financial data portable, and regulators are actively encouraging lenders to use deposit data to qualify borrowers who would otherwise never appear in a traditional credit file.

The implications are enormous — especially for CDFIs and community lenders whose core borrowers were never part of the population traditional infrastructure was designed to serve. Cash flow underwriting asks a different question: not what happened years ago, but what is actually happening in those accounts right now.

📖 Read the full article: Why Cash Flow Underwriting Is Finally Catching On — Fundingo

Brought to you by Fundingo — Loan Management Software Experts.

There's a moment almost every scaling merchant cash advance lender hits — when manual data entry between a disconnected scoring calculator and the loan origination system stops being tolerable. In this episode, we break down why that workflow bottleneck isn't just an efficiency problem — it's a risk problem — and why the real solution is a native scoring model built directly inside your lending platform.

Topics covered:

📖 Read the full article: Why Alternative Lenders Need a Native Scoring Model — Fundingo

This podcast is brought to you by Fundingo — the loan management software built for alternative lenders.

When application volume grows faster than your underwriting team can keep up, the solution isn't making underwriters faster — it's changing what reaches them in the first place.

Auto-decline waterfalls let lenders automatically screen out unqualified applications by sequencing the cheapest, most predictive data signals first. One merchant cash advance lender is now automatically declining 25% of their total volume before an underwriter ever opens a file — and they're actively working to grow that number.

The key isn't just what data you use, it's the order you use it. Pull the most predictive, least expensive signals first; only pay for comprehensive diligence on applications that pass the initial screen. The result: lower operating costs, faster decisions, and underwriting talent focused entirely on the calls that actually need human judgment.

📖 Read the full article: How Auto Decline Waterfalls Help Lenders Scale Underwriting

This podcast is brought to you by Fundingo — Loan Management Software Experts.

FinRegLab, in partnership with NYU Stern, analyzed over 38,000 small business loans originated between 2015 and 2024 — and the findings are definitive: cash-flow variables from live bank account data are a meaningfully stronger predictor of loan performance than personal credit scores, especially for the underserved borrowers CDFIs were built to serve.

CDFIs like Allies for Community Business, Ascendus, LiftFund, Ponce Bank, and Texas National Bank have already put cash-flow underwriting into production. The remaining barrier isn't belief — it's infrastructure. Lenders who've cracked the code connected live bank data feeds directly into their loan origination systems, cutting processing from months to weeks.

🔗 Read the full article on Fundingo.com

Brought to you by Fundingo — Loan Management Software Experts.

Cash-flow underwriting — evaluating borrowers using real bank transaction data instead of credit scores — is as predictive as traditional credit metrics. For CDFIs serving the 45–60 million Americans with thin or no credit files, it's not just smarter lending, it's mission-critical.

So why isn't it standard practice yet? The answer isn't a lack of belief — it's a lack of infrastructure. Fintech lenders cracked this years ago by building API-level integrations with bank data aggregators and underwriting models designed to consume that data natively. Most CDFIs are still on legacy loan origination systems and manual workflows never built for this.

Making cash-flow underwriting work at scale requires four capabilities working in concert: secure open-banking API access, transaction data living inside the underwriting workflow, a consistent scoring framework, and robust data governance. The CDFIs already doing it share one thing: they modernized their core lending platform first.

📖 Read the full article: Why CDFIs Aren't Using Cash-Flow Underwriting Yet — Fundingo

When a merchant cash advance lender crosses from funding fifteen million dollars a month to eighty million, the tools that got them there stop working — and the risks they couldn't see before suddenly become impossible to ignore.

That's the core insight behind loss curve analysis — a discipline that's been standard in credit card and auto lending for decades, but only recently gaining traction in alternative commercial lending. Every group of deals funded in a given month forms a cohort. Losses develop over time in a predictable pattern. Benchmark that pattern, and any deviation in a new cohort becomes a real-time early warning signal — surfacing slipping underwriting standards, low-quality lead sources, or mispriced industry verticals before the losses fully materialize.

The gap isn't conceptual — most lenders already understand this. The gap is operational. Manual spreadsheets and monthly reporting cycles can't keep pace with high-volume portfolio complexity. This episode explores how AI-powered cohort monitoring is changing that picture.

📖 Read the full article: Why Loss Curves Matter for Scaling MCA Lenders — Fundingo

This podcast is brought to you by Fundingo — Loan Management Software Experts.

The narrative that regulated industries like lending are behind on AI doesn't hold up to scrutiny. Salesforce's 2026 Agentic Enterprise Index shows financial services growing AI agent output 13x year over year — with sophistication scores higher than retail and technology combined.

In this episode, we break down why lending's complexity — multi-step compliance, cross-system workflows, regulated decision-making — is exactly what makes AI agents most valuable here. Plus: why Salesforce-native lenders have a structural head start that most aren't fully using yet.

📖 Read the full article: Why Lending Is Ahead on AI — Not Behind

Brought to you by Fundingo — Loan Management Software Experts.

When lenders push back on AI, the objections almost never say what they actually mean. "We're not ready." "We're handling it fine." "Bigger priorities." What experienced operations leaders are really weighing is the disruption cost of rework — not whether the technology works.

In this episode, we break down why AI positioned as addition to an existing workflow consistently outperforms AI positioned as transformation — and why that's not just a sales tactic, but an honest reflection of where AI delivers the most value in lending today.

📖 Read the full article: Why Lenders Resist AI: It's About Rework, Not Trust

Brought to you by Fundingo — Loan Management Software Experts.

The question lending executives are really asking right now isn't whether AI is relevant — it's where to start. Five use cases consistently deliver real, measurable operational value across lending organizations: document extraction, underwriting file preparation, missing item detection, next best action guidance, and red flag detection. What they share: they're workflow problems, not intelligence problems.

Read the full article: https://www.fundingo.com/where-ai-actually-delivers-value-in-lending-operations/