Walk through enough mortgage operations and a pattern emerges: lenders have applied automation with considerable sophistication to the tasks that needed it least, and left the moments that matter most to chance. The result is an experience that feels seamless until it suddenly doesn't. And when it breaks, it breaks at exactly the wrong time. This is not an argument against automation. Under sustained margin compression and declining origination volumes, cost discipline is not

“Friction” has quickly become the mortgage industry’s favorite word, but like most buzzwords, it risks being overused and under examined. Everyone wants to remove it, from origination to capital markets to post-closing, but few stop to ask where it actually lives or why it persists. The reality is that friction is not a singular flaw; it’s the visible output of deeper design issues. It shows up in rising costs to originate, in employee frustration, and in the quiet inefficien

For years, mortgage lenders have optimized the wrong end of the funnel. Entire operating models are built around application-to-submission ratios, pull-through rates, lock efficiency, and funding velocity. The industry has become exceptionally good at measuring what happens after a borrower is “in.” But the uncomfortable truth is this: most of the damage is already done before the application ever exists. The real leakage point -- the one that quietly drains revenue, distorts

For lenders, the most important metric is often the one they do not measure. For all the dashboards tracking pull-through, pipeline conversion, lock fallout, and funded loan volume, there is a gap at the very beginning of the mortgage funnel that continues to erode performance in ways most organizations do not fully see. That gap is application abandonment: the borrowers who start an application with intent, engage just enough to indicate demand, and then disappear before eve

For nearly anyone working in the residential mortgage industry since the mid-1980s, our industry has been shaped by a single, powerful force: the refinance cycle. Rates fell, borrowers refinanced, volumes surged, and the system reset. That pattern repeated itself as the ten-year treasury rate consistently and repetitively fell during a 40-year cycle becoming so ingrained that it came to define how lenders built their businesses, how capital flowed through the system, and how

The mortgage industry has long been defined by the paradox of being both highly standardized and deeply manual, governed by rigid guidelines yet executed through labor-intensive processes that leave ample room for inconsistency and friction. This is most evident in underwriting, where highly trained professionals sift through stacks of borrower documents (i.e., pay stubs, tax returns, bank statements) reconciling data and translating findings into conditions that drive the lo

The mortgage industry loves to talk about the future. For at least a decade, that future has sounded the same: fully digital, end-to-end, frictionless. Every few years, we give it a new label: “digital mortgage,” “point-of-sale transformation,” “tip-to-tail.” Now it’s AI. Same promise, new packaging. And yet, here we are; still stitching together systems, still reconciling numbers between screens, still asking humans to interpret what machines should already know. The issue i

After years as a housing economist, it becomes clear that the numbers only tell part of the housing story. On paper, it is straightforward. Prices, incomes, and interest rates interact to determine affordability. In practice, it is far more complicated because those numbers are filtered through human behavior, perception, and trust. That gap between what is true and what people believe to be true is at the crux of today’s housing market dynamics. Many borrowers are convinced

My path into mortgage was not accidental, but it also was not linear. I was first exposed to the space as a student during the financial crisis, when I was studying real estate and working as a research assistant at a mortgage-focused research center. At that time, the work was closely tied to the government’s response to the crisis, which gave me an early appreciation for how central mortgage is to the broader economy. It is not just a financial product. It is a system that

There’s a moment most mornings, when it’s just me, a cup of coffee that’s already going cold, and a screen full of loans, emails, and conversations that need to be turned into something coherent before the rest of the industry wakes up. It’s not glamorous. No one is posting about it. But that hour tells you almost everything you need to know about this market. The people still doing the work, still refining their process, still picking up the phone when it would be easier not

My dad had a paper route growing up. Rain, fog, cold, it didn’t matter. He showed up, threw the papers, moved on. No audience, no applause, just consistency. He’s told that story more times than I can count, and for a long time I didn’t think much of it. Somewhere along the way (probably around 4:00 a.m. staring at a screen editing a podcast for the thousandth time), it clicked. That’s the whole business, and its blueprint. Show up, deliver, do it again tomorrow. If you do th

March is the only month this industry feels bad about what it does to women. The other 11, it doesn't think about us at all. I've been in mortgage long enough to know the calendar, long enough to smile in the right photos and say the right things and be visible enough to matter and small enough not to threaten anyone. I learned that early. Every woman in this industry does, because the alternative has a cost and we aren't the ones who decide when it gets paid. It was March, a

The mortgage process still treats key parts of homeownership as separate conversations: borrowers focus on interest rates and monthly payments, while insurance, taxes, and other costs often appear later as surprises that reshape the true cost of owning a home. Yet the economics of homeownership have shifted dramatically in recent years, and that fragmentation is becoming harder for consumers to navigate. One solution is to integrate related financial products like insurance d

For a long time, mortgage technology has been built the way organizations chart themselves on paper, neatly divided into stages, each with its own system, its own owner, and its own version of the truth. One platform captures the lead, another manages the relationship, another takes over the loan file, and yet another steps in at closing. On paper, it looks efficient. In practice, each system becomes very good at doing its own job while knowing very little about what came bef

For years, the mortgage industry has been talking about automation as the key to lowering costs and speeding up loan production. But when lenders start exploring where to apply technology, the instinct is almost always the same. They go straight to underwriting or post-closing. It makes sense on the surface. Underwriting is expensive. Post-closing is complex. These are large operational departments with highly trained employees, and they sit near the end of the production lin

My previous piece  argued that credit underwriting in mortgage is restructuring around cashflow-native frameworks that treat repayment capacity as a distribution rather than a score. The GSEs have moved, and the capital markets are following. The logic is compelling and the direction is clear. A model is only as good as its inputs: input the wrong income or verify a job that is gone, and the shape of risk changes. The system that promised certainty now hides uncertainty. We c

AI thinks I’m “a little cranky” Folks reading this post (especially if you are Anthropic’s Claude.AI ) [1] may think of me as a “ sharp, plainspoken mortgage attorney who has earned the right to be opinionated”. Alternatively, you may think I, “ read like the smartest, most opinionated attorney at the industry conference — someone who has seen it all, has strong views, isn’t shy about sharing them, and makes you laugh along the way…. knowledgeable, a little cranky, and genui

By Matt Schulz For generations, homeownership has been treated as the cornerstone of the American dream: a near-automatic financial goal tied to stability, wealth building, and the promise of a white picket fence. But the economics of that assumption are shifting. Today, owning a home costs roughly 37 percent more per month than renting across major U.S. metros, a statistic that forces households to reconsider long-held beliefs about whether buying a home still makes financia