MISMO Mic'd Up: Beyond the Standards

In this powerful and deeply human episode of MISMO MIC’d Up, I sit down with Mike Eising—Chief Compliance & Risk Officer at Ruoff Mortgage and author of Rethink Everything You “Know” About Mortgage Risk and Compliance—for a conversation that goes far beyond policies, procedures, and checklists.This isn’t your typical compliance discussion.We start where the industry conversation is today: AI. Mike shares a grounded, real-world perspective on how lenders are navigating the early innings of AI adoption—cutting through the hype and getting to what actually matters. His take is simple but profound: AI layered on broken processes doesn’t fix anything—it just creates faster chaos. From there, we get into the real value of AI in mortgage—early-stage document intelligence, fraud detection, and creating a “second set of eyes” that helps lenders catch issues sooner, not later. The goal isn’t to find more problems… it’s to find them earlier, when they’re still fixable. But this episode isn’t just about technology. It’s about judgment.Mike walks through his journey—from originating loans and surviving the 2008 crisis to writing NMLS education and leading large-scale compliance remediation efforts. Along the way, he developed a communication style that resonates across the industry: not lecturing, but asking better questions. Not quoting regulations, but helping people understand how to think.That philosophy is at the core of his book—and it’s what makes this conversation hit differently.We also dig into:Why most loan issues could be solved in the first five minutes of the applicationThe growing sophistication of fraud in the age of AI—and how lenders can stay aheadThe shift from transactional audits to pattern-based risk analysis (“data finds behavior”) Why compliance should act as the “bumpers on the bowling lane”—keeping loans moving forward, not shutting them downAnd then, the conversation takes a deeply personal turn.Mike shares the story behind the book—rooted in the tragic loss of his son—and how that experience reshaped his perspective on risk, decision-making, and accountability. It’s a reminder that at its core, this industry isn’t about loans… it’s about people, choices, and consequences.His message is one every loan officer, executive, and risk professional needs to hear:It’s not enough to know better. You have to do better.If you’re in this industry—especially if you originate, underwrite, manage, or oversee risk—this episode will challenge how you think about your role.And if you take one action after listening… make it this:👉 Pick up Mike’s book:Rethink Everything You "Know" About Mortgage Risk and Compliancehttps://a.co/d/012olxRgThis is one of those rare reads that doesn’t just explain compliance—it changes how you approach it.Tune in. Rethink your assumptions. And maybe keep your hands at 10 and 2.

As Automated Valuation Models (AVMs) continue to gain traction across the mortgage industry, one critical question sits just beneath the surface: How confident should we be in the values they produce?In this episode of MISMO MIC’D Up, I sit down with Eric Fox, Chief Economist and SVP of Analytics at Veros Real Estate Solutions, to unpack the concept of confidence scoring—what it is, why it matters, and how it has historically introduced friction into the loan manufacturing process.We start with the fundamentals, breaking down confidence scores in plain English and exploring how they function as a signal of risk, not certainty. From there, Eric walks through the real-world challenges lenders have faced for years: inconsistent scoring methodologies across AVM providers, difficulty comparing results, and the operational burden of managing multiple interpretations of “confidence.”That sets the stage for one of the most important standardization efforts underway today.Together, we dive into the work of the MISMO AVM Development Workgroup and the creation of the Common Confidence Score—a standardized, easy-to-understand metric designed to bring consistency, clarity, and comparability to AVM outputs across the industry.Eric shares a behind-the-scenes perspective on what it took for competitors to collaborate under the MISMO umbrella, why lender participation was critical to reaching consensus, and how the group balanced statistical rigor with real-world usability.But this conversation goes beyond the “what” and gets into the “why it matters.”We explore how a standardized confidence score can:Reduce operational complexity and cost for lendersImprove transparency and decision-making for investorsSupport more consistent risk assessment across loan portfoliosAccelerate broader adoption of AVMs in origination and beyondWe also connect the dots to broader market trends, including increased regulatory openness to modern valuation tools and the growing demand for faster, more cost-efficient lending processes.To bring it all home, Eric shares his forward-looking perspective on what success looks like over the next three to five years—and why the Common Confidence Score could play a role similar to foundational infrastructure in enabling scale across the mortgage ecosystem.If you’re a lender, investor, or technology provider navigating the evolving world of property valuation, this is a must-listen conversation that will leave you with both clarity and a deeper appreciation for the role standards play in driving industry progress.

What does “reliable at scale” actually mean in mortgage—and why does it matter more now than ever?In this episode of MISMO MIC’D UP, Brian Vieaux sits down with Brian Pannell, Chief eServices Executive, and David Garrett, Director of Integration & Technical Services at DocMagic, to unpack one of the most critical—and misunderstood—concepts in digital mortgage transformation.From the infrastructure layer to the loan lifecycle, Brian and David break down what it truly takes to deliver consistency, performance, and trust across thousands of loans, systems, and stakeholders.At the core, reliable at scale isn’t just about uptime or system performance—it’s about shared standards, consistent data, and interoperability across the entire ecosystem. As Garrett explains, when data is aligned from origination through closing and into investor delivery, “there are no surprises.”But achieving that level of reliability is where the real challenge begins.Pannell highlights that scale only works when it works across organizations, not just within them—emphasizing that true scalability requires industry-wide coordination, not isolated excellence.The conversation dives into:Why borrowers don’t experience infrastructure failures—they experience lifecycle breakdownsHow inconsistent or “MISMO-esque” data creates friction across integrations and downstream processesThe real-world barriers slowing eNote and eClosing adoption—even in 2026Why integration success requires both technical precision and business contextWhere the “handshake” breaks down between systems—and how to fix itPerhaps most importantly, the episode underscores a hard truth:If it doesn’t work at scale, it doesn’t work—period.From reducing friction in the borrower experience to unlocking true efficiency for lenders, this conversation makes clear that reliability isn’t a feature—it’s the foundation for the future of mortgage.

Show DescriptionWhat if the mortgage industry’s biggest problem isn’t technology—butcoordination?In this episode of MISMO Mic’d Up, Brian Vieaux sits down withDavid Rogove, Founder & CEO of Maestro, to unpack a bold idea: the futureof mortgage origination won’t be built on more tools—it will be built onexecution.David’s journey from loan officer at 18 to scaling and exiting Wemlogives him a unique perspective on where the real friction lives. And it’s notwhere most people think. Today’s lenders are operating in a fragmentedecosystem of LOS, POS, CRMs, pricing engines, and portals—stitched togetherwith manual workflows and human intervention at every handoff. Enter a new model.Maestro is being built as an AI-native operating system—an orchestrationlayer powered by coordinated AI agents that don’t just assist… they execute.From structuring loans to submitting files across systems, this isn’tautomation as we’ve known it—it’s a shift toward AI-driven production.But here’s the catch: none of it works without standards.Brian and David connect the dots between AI and MISMO, making the casethat standardized, trusted data is the foundation for any real-world AIdeployment in mortgage. Without it, AI is just a demo. With it, AI becomesinfrastructure.David puts it plainly: the technology has finally caught up to theproblem.The only question now—who’s ready to move?

Tokenization, Blockchain, and the Real Future of Mortgage InfrastructureIn this special episode of MISMO MIC’d Up, Brian Vieaux hands the mic to guest co-host Eric Lapin for a deep, practical conversation with blockchain expert Courtney Brown.The goal? Cut through the noise and answer a question the mortgage industry is finally starting to take seriously:👉 What role does blockchain actually play in U.S. housing finance?Courtney brings a rare perspective—starting her career in mortgage operations and underwriting before moving into the world of Web3, tokenization, and digital asset infrastructure. That dual lens makes this conversation uniquely grounded in both how mortgages work today and how they could evolve tomorrow 1. Tokenization ≠ Liquidity (and why that matters)One of the biggest misconceptions in the market today is that tokenizing an asset magically creates liquidity. It doesn’t.Tokenization is infrastructure—the rails—not the market itself.2. What’s Actually Being Tokenized in Real EstateIt’s not the physical home—it’s the ownership structure (LLCs, trusts, SPVs) represented digitally.That distinction is critical for legal enforceability and scalability.3. Blockchain as Infrastructure, Not DisruptionThis isn’t about replacing mortgage—it’s about upgrading it:Faster transfer of valueImproved auditabilityReduced reliance on intermediariesGreater transparency across the lifecycle4. Web2 vs. Web3—In Plain EnglishFrom password-based systems controlled by institutions…to user-controlled environments where ownership and value move directly.5. The Role of Data—and Why It Changes EverythingFrom FICO to cash flow to behavioral signals, blockchain opens the door to:More granular risk assessmentBroader access to creditNew ways to evaluate “ability to pay”6. Crypto Meets Mortgage (Finally)The conversation explores emerging use cases like:Using crypto for down paymentsTokenized real estate ownershipBridging traditional finance (TradFi) and decentralized finance (DeFi)7. The Biggest Barrier to AdoptionIt’s not the technology—it’s:Misunderstanding of tokenizationFragmented use casesRegulatory uncertaintyAnd unrealistic expectations about liquidityBlockchain isn’t here to replace mortgage.It’s here to modernize the infrastructure underneath it.And as this episode makes clear—👉 Standards, data, and trust will determine whether it scales.🔍 What You’ll Learn💡 The Big Takeaway

Show DescriptionAI is moving fast in mortgage.Maybe faster than we’re ready for.In this episode of MISMO Mic’d Up, Brian Vieaux sits down with Erik Rowan, CEO of Crittora, to explore a critical—and often overlooked—question:👉 Who’s controlling what AI agents actually do?Because while the industry is racing to deploy AI across origination, fulfillment, and customer engagement… there’s a growing risk hiding in plain sight.It’s called “ambient authority.”In simple terms: most AI agents today have access to more data, more systems, and more capabilities than they should. And without proper controls, that creates real exposure—from data leakage to compliance violations. Erik and his team at Crittora are tackling that problem head-on.Instead of building another AI tool, they’ve created a secure orchestration layer—a cryptographically enforced framework that defines exactly what each AI agent is allowed to do, what data it can access, and how it operates within enterprise systems.Think of it as moving from an “on/off switch”… to a fully controlled, permissioned environment.In this conversation, Brian and Erik break down:Why AI security—not just AI capability—is the next big challenge in mortgageHow “ambient authority” creates hidden risks across systems and workflowsWhat it means to scope AI agents and enforce least-privilege accessWhy auditability, encryption, and traceability are essential for regulatory readinessHow lenders can safely adopt AI without exposing sensitive dataAnd why the industry must get ahead of regulation—before regulation catches upErik makes it clear: AI has massive potential to reduce costs and transform operations—but only if it’s deployed securely and responsibly.Because in mortgage… trust isn’t optional.🎧 If you’re thinking about AI in your business, this episode will change how you think about risk.

Show DescriptionIn this episode of MISMO Mic’d Up, Brian Vieaux sits down with Josh Weinberg, President of Firstline Compliance, for a candid, high-impact conversation on the evolution of mortgage compliance—and why the Mortgage Compliance Dataset (MCD) may be the most important industry development you’re not fully paying attention to yet.Josh brings a rare combination of deep regulatory expertise, frontline lender experience, and straight-shooting leadership philosophy (yes…including a core value of “No A$$holes”) to break down what MCD really is, why it matters, and how it’s poised to fundamentally reshape how compliance is measured, tested, and executed across the mortgage ecosystem.The conversation goes far beyond definitions. Josh walks through the real-world problems MCD is solving—from inconsistent regulatory exams and inefficient sampling processes to the lack of transparency in legacy compliance frameworks. He explains how MCD introduces standardized data, open-book testing, and portfolio-level validation—creating a future where both lenders and regulators operate from the same playbook. Brian and Josh also unpack the MISMO magic behind it all: a collaborative, consensus-driven model that brings lenders, regulators, and technology providers to the same table. With strong participation from the Conference of State Bank Supervisors (CSBS) and growing adoption momentum, MCD is emerging as a rare win-win—delivering efficiency for lenders while enhancing oversight for regulators.But this episode isn’t just about the “what”—it’s about the “why now.”Josh makes a compelling case that the mortgage industry historically only evolves when forced to…whether by regulation, crisis, or market disruption. The difference this time? Industry participants are proactively building the future—before they’re forced to.You’ll also hear:Why compliance testing is shifting from random sampling to full portfolio analysisHow MCD enables an “open book exam” approach to regulatory readinessThe strategic advantage for tech vendors and lenders who get involved earlyWhy being “at the table” in MISMO isn’t optional—it’s a competitive edgeAnd how a values-driven culture (yes, including that one) actually drives better outcomes in a complex industryIf you care about reducing cost, increasing certainty, and modernizing how mortgages get done—this is a must-listen.

Episode DescriptionIn this episode of MISMO Mic’d Up, host Brian Vieaux sits down with Ike Suri, Founder & CEO of FundingShield and MISMO Board Member, to explore how technology, data standards, and real-time verification are transforming one of the most critical moments in the mortgage process — the closing table.Drawing on experience from industries like NASDAQ trading systems, airline ticketing, and telecom, Ike shares how lessons from high-stakes, data-driven environments led him to identify a major vulnerability in mortgage lending: the risk of fraud, data decay, and compliance failures at closing.Together, Brian and Ike discuss:Why fintech founders — many new to mortgage — are increasingly turning to MISMO standards to accelerate innovationThe growing threat of wire and closing fraud in mortgage transactionsHow real-time source data verification can protect lenders, investors, and consumersWhy solving fraud and compliance challenges can actually improve lender profitabilityAnd how industry collaboration through organizations like MISMO is helping modernize mortgage infrastructureThe conversation highlights a powerful idea: standards don’t slow innovation — they enable it.If you care about the future of mortgage technology, fraud prevention, and building a safer housing finance ecosystem, this is an episode you won’t want to miss.

🎙 MISMO Mic’d UpGuest: Andrew LiputFounder & CEO, Secure InsightEpisode OverviewArtificial intelligence is rapidly reshaping the mortgageindustry—but are lenders ready?In this episode of MISMO Mic’d Up, Brian Vieaux sits downwith Andrew Liput to unpack where the mortgage industry truly stands in the AIjourney, the regulatory realities emerging at the state level, and whygovernance—not speed—will determine long-term success.From agentic AI platforms and robo-dialers to repurchaserisk and black-box decisioning, this conversation cuts through the hype anddelivers practical guidance for lenders navigating AI adoption responsibly.Key Discussion Topics⚾ Where Are We in the AI Game? AI today is programmed to “think, create, and produce”faster and more efficiently than humans—but that doesn’t eliminate lenderresponsibility.🤖 What Is “Agentic AI”?Andrew explains the rise of agentic AI—tools capable ofautonomous interaction that mimic human behavior. The core question:Can AI legally and ethically perform activities reserved for licensedindividuals?🏛 The RegulatoryLandscape Is FormingState regulators are beginning to issue guidance: Upcoming guidance expected from: Key takeaway:There’s nothing “new” in these bulletins—but regulators are shining a spotlighton AI risk.You can’t outsource compliance to a vendor. If AI createsharm, the lender is on the hook.🌭 “Know What’s in theSausage”Andrew uses a memorable analogy:If AI is the black box that makes the sausage, you need tounderstand what’s inside. Black-box opacity + speed + scale = amplified exposure.💣 Speed & Scale =Accelerated RiskAI’s greatest strength is also its biggest threat: You can’t originate your way out of that kind of liability.📞 The TCPA & RobocallRiskAndrew shares a real-world example of AI robocalls offeringloan approvals without proper identification.Concerns include: AI dialers operating at scale without proper safeguardscould create catastrophic financial exposure.🏢 Internal AI vs.Consumer-Facing AINot all AI carries the same risk.Lower Risk: Higher Risk: The distinction matters.🔐 Vendor Oversight IsCriticalThe explosion of new AI vendors entering mortgage means: Lenders must strengthen: Loan officers entering borrower data into open AI toolscreates privacy risk most lenders haven’t fully addressed.🎯 The One PrincipleLenders Should Anchor OnAndrew’s final advice:Don’t compromise on oversight. AI adoption without governance is exposure.Why This Matters NowThe MBA Residential Board of Governors has made AI a topindustry priority. MISMO’s AI Community of Practice is working towardframeworks that help lenders establish guardrails for responsible adoption.AI is coming—fast.But responsible adoption requires deliberation, documentation, and discipline.Standout Quotes“You can’t just say, ‘The AI told me to do it.’”“Know what’s in the sausage.”“Speed and scale amplify risk.”“Don’t compromise on oversight.”Final TakeawayAI will absolutely shape the future of mortgage lending.But success won’t go to the fastest adopters.It will go to the lenders who balance innovation withgovernance, oversight, and accountability.We may be in the first inning—but the score will bedetermined by how responsibly we play the game.

Episode Description:Is the mortgage industry built on solid data foundations or shiftingsands?In this episode of MISMO Mic’d Up, MISMO President Brian Vieauxsits down with Mark Dangelo, Co-Founder of AXTent, Professor at CaseWestern Reserve University, and regular contributor to MBA Newslink and ThomsonReuters, for a deep dive into the evolving architecture of regulatory data inmortgage banking.As artificial intelligence accelerates across financial services, theindustry is confronting a hard truth: regulatory reporting may be digital, butit is not necessarily consistent, interoperable, or machine-ready. What oncefelt like “bedrock” data infrastructure is rapidly liquefying under thepressure of AI, cross-agency reporting, and real-time analytics.This conversation explores: Mark explains how emerging architectures like data meshes and datafabrics allow institutions to integrate information across systems withoutduplicating or fragmenting data. Rather than lifting and shifting data into newsilos, modern architectures preserve system-of-record integrity while enablingreal-time governance, auditability, and cross-domain visibility.For leaders of independent mortgage bankers (IMBs), this episode deliverspractical guidance: The discussion also highlights how forward-thinking fintech founders areleveraging MISMO’s 26-year foundation of data standards to accelerate productinnovation — proving that standards do not limit innovation; they enable it.If you are a mortgage executive, CIO, CTO, compliance leader, dataarchitect, or fintech innovator, this episode provides a roadmap for navigatingthe intersection of AI, regulatory modernization, and structured datagovernance.Because in today’s mortgage market, competitive advantage will not comefrom faster processes alone — it will come from stronger data foundations.Learn more about MISMO’s AI Community of Practice at mismo.org and jointhe conversation shaping the future of mortgage data standards.

In this episode of MISMO Mic’d Up, Brian Vieaux sits down with Paul Gigliotti, CEO of the California MBA, for a wide-ranging conversation on advocacy, innovation, and why being in the room early can fundamentally change how mortgage businesses compete and grow.Brian and Paul begin by reflecting on their parallel journeys—both stepping into leadership roles at major industry organizations within days of each other—and how shared backgrounds in lending and technology shape their approach to leadership today. From there, the conversation dives into the mission and impact of California MBA, with Paul breaking down its three core pillars: advocacy, education, and networking, and why advocacy should be viewed not as politics—but as business strategy.A major theme of the episode is California’s outsized influence on the national mortgage ecosystem. With California accounting for up to 40% of annual mortgage originations and serving as a legislative bellwether for other states and federal policy, Paul explains why lenders—especially multi-state operators—cannot afford to treat California policy in isolation. What happens in California rarely stays in California.The discussion then turns to a powerful insight: membership isn’t just about support—it’s about foresight. Paul and Brian explore how lenders and technology providers that actively participate in associations gain early visibility into regulatory and legislative shifts, enabling them to adapt faster, innovate sooner, and sometimes even shape outcomes. Real-world examples highlight how being engaged—not just enrolled—can create lasting competitive advantage.The episode also spotlights the newly announced partnership between MISMO and California MBA, including MISMO hosting two workshops at the upcoming Mortgage Innovators Conference (MIC) in Huntington Beach. Brian outlines what attendees can expect from the workshops, including deep dives into the Mortgage Compliance Dataset (MCD) and MISMO’s work on responsible AI frameworks for mortgage lending—two of MISMO’s top priorities heading into 2026.Paul shares why MIC has become a must-attend, national-caliber event for mortgage innovation, emphasizing its focus on practical implementation, not just shiny new tools. The conversation also previews California MBA’s broader event lineup—from legislative advocacy days to capital markets and compliance conferences—and hints at future opportunities for deeper collaboration between the two organizations.The episode closes with a candid look at how lobbying and standards work actually gets done: staying in your lane, leaning on subject-matter experts, and building trust with policymakers through education—not confrontation. It’s a reminder that sustainable progress in mortgage lending happens when advocacy, standards, and innovation move together.Whether you’re a lender, fintech, compliance leader, or industry executive, this episode delivers a clear message: the future belongs to those who show up early, engage deeply, and help shape what’s next.🎧 Tune in—and make sure you’re in the room.

🎙 Show DescriptionIf mortgage banking were Major League Baseball in 2001… are we the Yankees with a big payroll — or the Oakland A’s about to disrupt the industry?That’s how this special episode of MISMO Mic’d Up opens, and from that moment forward, Jim Deitch doesn’t let up.Jim — CPA, CMB, CEO of Terra Verde, five-time author, and now writing his next book, Disruptive AI – It’s Coming to You… or For You — has been talking about Moneyball Mortgage for years. But as AI gains real traction in our industry, this conversation has never been more relevant.In this episode, Jim explains why:AI is both a force multiplier and a democratizerCost to originate disparities in mortgage banking mirror the Yankees vs. A’s gap from 2001The industry is obsessing over the wrong metrics“Revenue productivity” may be mortgage’s version of on-base percentageData quality — not AI tools alone — will determine who winsWe explore how Major League Baseball’s Statcast revolution transformed the game by standardizing and leveraging data at scale — and what mortgage banking can learn from it.Because here’s the reality:AI doesn’t fix broken data.AI magnifies it.If your data is incomplete, inconsistent, or inaccurate, AI won’t optimize your business — it will accelerate your mistakes. But if your data is clean, structured, and measurable, AI becomes a strategic weapon.Jim shares why the industry’s cost to originate ranges from $6,000 to $25,000 per loan, why that gap persists year after year, and why most executives still manage to volume instead of profit — even after Michael Lewis published Moneyball in 2003.As Jim notes in the episode transcript , the difference between the top 20% and bottom 20% of mortgage lenders isn’t luck — it’s consistent measurement and disciplined execution.If you’ve never seen the movie Moneyball or read the book by Michael Lewis, add it to your queue. It’s more than a baseball story. It’s a blueprint for structural competitive advantage.And this is just the beginning.Jim and I will be going much deeper into the Moneyball Mortgage theory in our upcoming live webinar, where we’ll unpack:The most misunderstood KPI in mortgage bankingHow to measure “wins” correctlyHow AI reshapes cost structure and margin compressionWhat leaders should be doing in the next 90 daysStay tuned for upcoming webinar. AI isn’t coming.It’s here.The question is simple:Are you measuring what matters?

The mortgage industry is racing toward an AI-powered future — but as every builder knows, innovation only scales when the foundation is solid.In this episode of MISMO Mic’d Up, Brian Vieaux sits down with Ben Sherman, CEO of Viant Eye, and Chris Trujillo, Director of Product Strategy, to unpack the launch of MISMO Link — a major new capability designed to transform how the industry creates, explores, and implements MISMO standards.This conversation goes beyond the announcement. Together, they explore:Why centralizing MISMO standards is critical to faster innovationHow MISMO Link dramatically improves accessibility to the MISMO Reference ModelWhat this means for fintech builders, AI startups, and lenders entering the ecosystemThe role of SmartDocs and eNotes in driving real, measurable economic valueWhy standards are the quiet force multiplier behind automation, AI, and loan qualityChris shares the vision behind MISMO Link’s phased rollout — from Model Explorer to dataset management and future API and AI-driven integrations — while Ben connects the dots between standards, tooling, and interoperability across the housing finance ecosystem.The episode also tackles a big idea:As AI accelerates into mortgage, all roads lead back to MISMO — and MISMO Link is rapidly becoming the on-ramp.If you care about scalability, data integrity, AI readiness, or simply making mortgage technology work better, this episode is required listening.

What happens when the mortgage industry rushes headlong into AI… without first agreeing on what things actually mean?In this episode of MISMO Mic’d Up, I’m joined by Greg Alvord for a conversation that goes well beyond buzzwords and vendor decks. We dig into the foundational question most AI discussions skip entirely: How do we know what we’re measuring, and why should we trust the conclusions?Greg brings decades of experience at the intersection of data, modeling, and mortgage technology, and he doesn’t shy away from challenging comfortable assumptions. We explore how two of the primary mathematical tools behind modern AI—linear regression and neural networks—can both mislead when variables are poorly defined, inconsistently labeled, or chosen simply because they’re easy to capture rather than meaningful to outcomes.A key theme throughout the discussion is ontology: the disciplined practice of defining concepts, relationships, and meaning before attempting automation or intelligence. Without shared definitions, AI systems can surface patterns that look impressive but are statistically fragile—or worse, entirely coincidental. More data doesn’t automatically mean better insight, and more variables don’t guarantee better predictions. In fact, they often increase the likelihood of false confidence.Greg walks through why this matters so deeply in mortgage lending, where decisions impact real people, real money, and real regulatory obligations. We talk about how “ghost signals” can emerge in neural networks, why explainability is not optional in a regulated industry, and how inconsistent data definitions quietly undermine even the most advanced tools.From there, the conversation turns constructive. We discuss how industry standards—particularly those developed through MISMO—provide the scaffolding AI actually needs to scale responsibly. Shared data models, common definitions, and agreed-upon semantics aren’t a brake on innovation; they’re the runway. They enable lenders, vendors, regulators, and investors to move faster together without introducing unnecessary risk.This episode also explores the human side of AI adoption. Technology doesn’t replace judgment—it amplifies it. That amplification can be powerful or dangerous depending on the integrity of the inputs. Greg offers a grounded perspective on how experimentation, hypothesis testing, and intellectual humility should guide AI development, rather than blind faith in algorithms.If you’re a lender executive, technologist, compliance leader, or product builder trying to separate real AI progress from statistical noise, this conversation is for you. It’s a reminder that the future of mortgage technology won’t be built by models alone—but by models rooted in clarity, standards, and shared understanding.Because before AI can be intelligent, the industry has to agree on the language it speaks.

🎙️ MISMO Mic’d Up — Episode DescriptionGuest: Chris Hazen, Chief Revenue Officer, FinLockerMost lenders don’t meet a first-time homebuyer until they’re already stressed, confused, or half-disqualified.That’s not a marketing problem.It’s not a technology problem.It’s a mindset problem.In this episode of MISMO Mic’d Up, Brian Vieaux sits down with Chris Hazen, Chief Revenue Officer at FinLocker, to unpack why early-journey engagement—despite being talked about for more than a decade—remains largely unsolved at an enterprise level across the mortgage industry.The conversation starts where it matters most: mindset. Chris explains why the industry’s historical focus on the transaction in front of us makes it hard to invest time, energy, and leadership attention into borrowers who may be 6, 12, or even 24 months away from applying. Yet those very borrowers represent one of the largest untapped growth opportunities for lenders—especially first-time homebuyers who need education, guidance, and confidence long before they need a rate quote.From there, Brian and Chris explore what actually breaks when lenders try to solve early engagement at scale. Spoiler: it starts with people, quickly runs into process challenges, and only then becomes a technology conversation. Without clear objectives, defined outcomes, and leadership buy-in, even the best tools struggle to gain adoption.A central theme of the episode is the shift from a “point of sale” mindset to a “point of thought” mindset—engaging consumers when they’re thinking about buying a home, not just when they’re ready to apply. Chris shares why “educate first” can feel uncomfortable for loan officers who are conditioned to convert leads quickly, and what changes when they instead focus on guiding, coaching, and providing value without pressure.The result?Stronger trust.Longer-term relationships.More repeat business and referrals.And a healthier, more predictable pipeline over time.The conversation then turns practical, with Chris walking through how FinLocker is designed specifically for the up-funnel moment—helping lenders and loan officers engage early without adding manual work, noise, or compliance risk. Through consumer-permissioned data, milestone-based alerts, and a native mobile experience, loan officers can stay present in a borrower’s journey while letting the technology handle the heavy lifting.Brian and Chris also discuss what success looks like when lenders get this right at an enterprise level: improved borrower experience, more efficient loan officer workflows, and better economics driven by higher pull-through, stronger borrower quality, and long-term engagement that doesn’t end at closing.Looking ahead, the episode closes with a forward-looking discussion on what will separate lenders who invest in early-journey engagement from those who don’t—and how industry standards, data portability, and collaboration through organizations like MISMO can help unlock a future where consumers are empowered, verified, and far less anxious as they move toward homeownership.If you care about first-time homebuyers, sustainable growth, and building an ecosystem that works better for consumers and lenders alike, this is a conversation you won’t want to miss.

🎙️ MISMO Mic’d Up: Michael Sachdev, CEO of SnapdocsFrom Digital Closings to Digital Assets: Why Quality, Connectivity, and Standards MatterIn this episode of MISMO Mic’d Up, Brian Vieaux sits down with Michael Sachdev, CEO of Snapdocs, to explore what it really takes to scale the digital mortgage—from hybrid closings to eNotes, RON, and AI-powered quality control.Michael shares his unconventional journey into mortgage technology, including how his background in regulated, infrastructure-heavy industries shaped his approach to digitizing mortgage closings and collateral. Together, Brian and Michael unpack why connected digital workflows across lenders, settlement partners, and the secondary market create higher-quality, faster-moving loan assets—and why collateral quality is quickly becoming a competitive advantage.The conversation dives into real-world ROI from digitization, including reduced dwell time, fewer defects, increased funding certainty, and improved secondary market execution. Michael also offers a candid look at how lenders are using AI today—particularly in QC and back-office operations—to increase capacity and profitability without increasing risk.The episode closes with practical guidance for lenders at any stage of adoption and a spotlight on the MISMO e-Eligibility Engine, powered by Snapdocs, a critical tool helping lenders understand how “e-eligible” each loan can be across jurisdictions and investor requirements.If you’re focused on lowering cost per loan, improving execution quality, and preparing for an AI-ready mortgage ecosystem, this episode is a must-listen.Michael Sachdev discusses how his background in law and sustainable energy—both highly regulated, complex industries—prepared him to tackle mortgage’s fragmentation and scale challenges with a systems-first mindset.When lenders, title companies, and the secondary market operate on shared digital workflows, every loan becomes a higher-quality asset. The discussion highlights how digitization reduces friction, errors, and uncertainty at every handoff.Rather than chasing RON first, Michael explains why maximizing hybrid adoption is the foundation for scaling eNotes and RON—and how eligibility must come before acceleration.Beyond headline savings, the episode explores how reduced dwell time, fewer defects, and faster investor delivery can unlock hundreds of dollars per loan—and why $1,000 per loan in savings is an achievable north star.Quality isn’t just about compliance anymore—it’s about liquidity. High-fidelity digital collateral performs better downstream, reduces risk, and can even command better execution in the secondary market.Michael shares how lenders are successfully applying AI to QC, document recognition, and workflow automation—starting in low-judgment, high-volume back-office processes to safely scale impact.Executive alignment, clear success metrics, and ecosystem readiness are key. The most successful lenders treat digital mortgage adoption as an enterprise strategy—not a side project.Brian highlights the e-Eligibility Engine available at MISMO.org, helping lenders quickly assess how “e” each loan can be and chart a practical path toward greater digitization.Episode DescriptionEpisode Overview / Key Themes🔹 A Different Path into Mortgage🔹 The Network Effect of Digital Closings🔹 Hybrid → eNote → RON: The Right Adoption Path🔹 Real ROI: Speed, Certainty, and Cost Reduction🔹 Collateral Quality as a Competitive Advantage🔹 AI in Mortgage: Where Value Is Showing Up Today🔹 Where Lenders Should Start🔹 Tool Spotlight: MISMO e-Eligibility Engine, Powered by Snapdocs

🎧 Episode DescriptionIn the first MISMO Mic’d Up episode of 2026, Brian Vieaux sits down with Karol Villavicencio, Director of Product Management and Product Operations at Asurity, for a practical, inside-the-room conversation on RegCheck, standards, and what it really takes to move mortgage compliance forward at scale.Karol shares how Asurity’s RegCheck platform supports lenders of all sizes, why configurability matters across the loan lifecycle, and how deep participation in MISMO—especially the Mortgage Compliance Dataset—creates real-world value for both technology providers and the industry.From early collaboration with state regulators to hands-on MCD testing opportunities for lenders, this episode connects the dots between standards, adoption, and smarter compliance workflows. If you care about efficiency, scalability, and not building the same dataset 50 different ways… this one’s for you.🧠 Key Topics CoveredWhat Asurity does and how RegCheck supports loan-level complianceWhy configurable RegTech matters for LOs, ops, and compliance teamsHow RegCheck integrates directly into LOS workflows using MISMO standardsThe origin and evolution of the Mortgage Compliance Dataset (MCD)Why regulators, lenders, and technologists being at the table early mattersAdoption at scale: turning standards into real ROIAsurity’s offer to help lenders test MCD files in a real compliance environmentHow standardized data frees teams to focus on real risk management (not spreadsheets)🔑 Notable TakeawaysStandards ≠ constraints — they’re the foundation for innovationEarly participation in MISMO workgroups creates product, partnership, and market advantagesMCD isn’t about reducing people—it’s about redeploying talent to higher-value workAdoption only happens when testing, tooling, and collaboration show up together🎯 Who Should ListenLenders operating in multiple statesCompliance, risk, and operations leadersRegTech and mortgage technology buildersAnyone curious how standards actually become usable tools

In this episode of MISMO Mic’d Up, host Brian Vieaux sits down with Bruno Lorenzelli, Founder and CEO of Scalata, to unpack why data interoperability—not hype—is the real unlock for AI in mortgage lending.With more than 30 years in technology banking and credit markets across Europe and the U.S., Bruno brings a global perspective shaped by the subprime crisis, large-scale credit servicing, and hard-earned lessons from building (and rebuilding) complex platforms. Scalata, a spin-off of a profitable European fintech, is entering the U.S. mortgage market with a clear mission: reduce the cost and complexity of working with disparate, unstructured data.Bruno explains how Scalata acts as a digital framework layer sitting on top of legacy systems—ingesting everything from MISMO XML files to PDFs and spreadsheets—while enabling schema mapping, agentic workflows, and AI-driven underwriting without introducing hallucination risk. The conversation explores why standards matter more than ever, how agentic AI changes mortgage manufacturing, and what an AI-enabled mortgage ecosystem could look like in the next 3–5 years.If you care about AI, data standards, interoperability, and the future of mortgage workflows, this episode is required listening.Guest:Bruno Lorenzelli – Founder & CEO, ScalataKey Topics Covered:Bruno’s background in global credit markets and fintech infrastructureWhy Scalata was built—and why mortgage is the right industry, right nowThe hidden cost of “tape cracking” and unstructured mortgage dataScalata as a framework layer that sits on top of legacy systemsZero-cost ingestion of MISMO files, PDFs, spreadsheets, and APIsWhy schema mapping and data normalization reduce AI hallucinationHow agentic AI enables parallel workflows across mortgage manufacturingReplacing manual underwriting steps with policy-driven AI agentsMISMO’s role in enabling interoperability and trustworthy AIThe future of AI-enabled mortgage lending and customer interactionWhy interoperability—not hype—is Scalata’s core value propositionNotable Quotes:“MISMO exists to reduce the cost and complexity around data—and that’s exactly where Scalata fits.”“If you don’t normalize and map the data, you leave AI too much room to interpret—and that’s where hallucination comes from.”“We’re the glue. We connect systems, standards, and workflows—and we make it cheap and easy.”Learn More:🌐 https://scalata.ai🎤 Catch Scalata at the MISMO Winter Summit

In this episode of MISMO Mic’d Up, Brian Vieaux sits down with Michael Vandi, Founder & CEO of Addy AI, to unpack what it really takes to build and implement an AI strategy in mortgage lending. Michael shares how Addy AI is working toward One-Touch CTC by using AI agents to prep CTC-ready loans in under five minutes, and why pairing young AI talent with seasoned mortgage pros is the unlock.They also dig into regulatory guardrails, state-level scrutiny, and how lenders can map their process, run smart pilots, and use AI to extend the reach of originators—without blowing up their existing tech stack. Michael closes with a sneak peek of what Addy AI will be showcasing live at the MISMO Winter Summit in Amelia Island.Show NotesIn This EpisodeBrian and Michael cover:How Addy AI is making the vision of One-Touch CTC realWhy AI strategy has become executive “ping pong” inside lendersThe growing regulatory and state-level scrutiny around AI usePractical steps to map your process and identify where AI helps firstHow AI agents can chase docs, calculate income, and support originatorsWhy pairing young AI engineers with mortgage vets is a competitive advantageA live-demo preview of AI + human closing a loan at MISMO Winter Summit

Guest: John Haring, Head of Compliance, WilqoIn this episode, Brian sits down with longtime “MISMITE” and compliance veteran John Haring, now Head of Compliance at Wilqo, a production optimization platform (“Charlie”) that unifies POS, LOS, AI, and BI in a single environment.John shares his unconventional path into mortgage, why he believes compliance is how you keep your money, and how MISMO collaboration has shaped everything from HMDA and URLA to the new Mortgage Compliance Dataset (MCD). The conversation digs into AI, exams, and why alignment between lenders, vendors, and regulators is quietly becoming a serious competitive advantage.John’s path into mortgageMoving from “true retail” compliance into mortgageGetting licensed as an LO and learning the business from the ground upGrowing from small broker shops to VP of Compliance at a large multi-state lenderFrom lender to tech: 13 years at the “800-pound gorilla”Why early GFE, LO Comp, and NMLS changes made tech essential for complianceHow John became a conduit between lenders, MISMO/NMLS working groups, and EncompassTurning dense regulations into practical software requirementsThe power of MISMO working groupsWhat it’s actually like to sit in MISMO/NMLS working sessions“Safety in numbers” vs going it alone on big regulatory changesThe birth of iLAD and harmonizing the new URLA with real-world data needsThe career upside: relationships, reputation, and personal brandWhy vendors need MISMO: table stakes for techWhy supporting MISMO is the “base language” for mortgage technologyThe risk of building compliance logic in isolationCompany benefit vs personal benefit from being at the tableInside Wilqo and the Production Optimization Platform (“Charlie”)What a POP is and how Charlie differs from a traditional LOSBringing POS, LOS, AI, BI, and the consumer into one platformParallel processing, multiple users in the same file, and consumer-friendly UIThe advantage of an emerging platform built by industry veteransAI through a compliance lensWhy using AI for credit underwriting is high-impact, high-riskFraming AI as “how do we get to yes safely?” instead of “no”Using AI to surface discrepancies, automate stare-and-compare, and empower underwritersThe balance between automation and the human relationship with the borrowerThe Mortgage Compliance Dataset (MCD)Lessons learned from the earlier LEF approachHow false positives and scattered data (LOS, PPE, doc engine) drove costs upWhy a MISMO-driven, multi-vendor standard is different this timeHow better, trusted electronic exams can reduce onsite visits and lender costsCompliance as competitive advantageJohn’s “hierarchy of pain”: regulators vs investors vs class-action attorneysWhy strong exams reduce repurchase and litigation riskHow more efficient compliance can keep more margin in the lender’s pocketUltimately, how this work benefits consumers through better, more stable executionJohn Haring on LinkedIn: https://www.linkedin.com/in/john-haring-6077641/Wilqo – Production Optimization Platform: https://wilqo.com/MISMO: (https://www.mismo.org/membership/become-a-mismo-member)

In this episode, Brian sits down with Amy Moses, VP of Strategic Growth at MISMO, for a behind-the-scenes look at the upcoming MISMO Winter Summit (Jan 12–15, Amelia Island, FL) — and why it may be the most important Summit yet.Amy breaks down how MISMO Summits actually work (and why they’re nothing like a normal conference), how industry competitors collaborate side-by-side, and why newcomers consistently say, “I felt welcomed on day one.”Brian and Amy also dive deep into two of MISMO’s most impactful initiatives for 2025 and beyond:• Mortgage Compliance Dataset (MCD):How a standardized dataset can reduce exam friction, streamline multi-state audits, and return hours — even headcount — back to IMB compliance teams.(Plus: Why regulators are excited, too.)• MISMO + CSBS Partnership:A preview of the Dec 3 Tech Sprint and the Winter Summit MCD Workshop, where lenders, regulators, and tech partners will shape rollout strategies together.You’ll also hear:– Why GSE participation is so critical (and so unique).– How 34 workgroups collaborate year-round.– Why CMB candidates call MISMO Summits “cheat codes.”– How AI, regulation, and innovation will take center stage in Amelia Island.– A shoutout to Summit sponsors who make this community possible.Learn more & register: https://www.mismo.orgMCD Overview: https://www.mismo.org/mcdDec 3 Tech Sprint Info: https://www.mismo.org/tech-sprintIf you're in compliance, risk, data, tech, valuations, operations, or leadership — this is a must-listen episode.

On the very first episode of MISMO Mic’d Up, host Brian Vieaux, President of MISMO, sits down with long-time MISMO champion Jay Arneja of nCino to unpack why MISMO is still the “hidden gem” of the mortgage industry.Jay traces her MISMO journey back to 2007–2008, when the industry was just starting to document eSign, MERS, and early digital workflows. She explains how MISMO standards quietly power everything from loan origination through closing and servicing—and why the Life of Loan resource and MISMO Glossary should be bookmarked for every new hire in mortgage.Brian and Jay also look ahead to the top of the funnel: how point-of-sale platforms, consumer-permissioned data, and mobile-first experiences are reshaping when and how standards should start—well before a 1003 is ever completed.They close with a clear call to action:👉 Get involved in MISMO workgroups.👉 Use MISMO resources to train your teams.👉 Bring your real-world problems into the standards process.This is your front-row seat to how standards are built by the industry, for the industry—and why participation matters now more than ever.