Navigating Default Servicing, Foreclosure, and Loss Mitigation: Insights from Wendy Lee of LOGS | Now Next Later Podcast In this episode of Now Next Later, hosts Sasha and Jeremy sit down with Wendy Lee, Managing Partner at LOGS, a nationwide law firm network specializing in default servicing, foreclosure law, and loss mitigation for lenders and mortgage servicers. With ongoing regulatory shifts, economic uncertainty, and political change, the mortgage servicing industry faces unprecedented challenges. Wendy shares expert insights on how mortgage servicers, banks, and default legal partners can successfully navigate these volatile times. 📌 Key Topics Covered: How to manage the “whiplash” effect of rapid industry changes Why early homeowner engagement is critical to loss mitigation success Best practices for data sharing, communication, and tech integration The value of AI-powered “walled garden” tools for compliance and efficiency Building scalable, outcome-driven partnerships in default servicing 🔑 Top 5 Takeaways: 1. “Whiplash” in Default Servicing The foreclosure and default landscape is constantly shifting due to regulatory, economic, and political influences. Agility is key. 2. Early Outreach is Essential Many struggling homeowners still have equity—but options like modification, selling, or tapping equity require early and frequent communication. 3. Share Data & Context Lenders and servicers must provide full file context to legal partners to ensure informed, compassionate homeowner support. 4. Optimize Partnerships Success in loss mitigation depends on: Bi-directional communication Transparent scorecarding Measurable outcomes Real-time exception handling 5. Leverage Legal Tech & AI Partnering with firms that use proprietary, compliance-focused AI tools helps reduce cost, admin burden, and risk. 🔗 Watch now to discover how forward-thinking mortgage professionals are using legal tech, smarter partnerships, and proactive communication to improve outcomes in foreclosure and default servicing. #ChrismanCommentary #MortgageNews #MortgageTech #ForeclosureLaw #LossMitigation #DefaultServicing #LoanServicing #MortgageIndustry #MortgageCompliance #Morgage #RealEstate #Foreclosure #LegalTech #MortgagePodcast

Watch the full video here - https://www.youtube.com/watch?v=2AAeZ5_tDwo Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy sit down with Taylor Stork of the Community Home Lenders Association (CHLA) to unpack the major regulatory and legislative challenges facing today’s mortgage companies. The discussion centers on shifting leadership at the CFPB and SEC, new dynamics between CFPB and the U.S. Treasury, and what it all means for compliance, tech innovation, and the future of credit scoring. 💡 Key Takeaways: The new administration is “clearing the deck” — with over 1,500 layoffs at the CFPB — signaling a major reset in regulatory priorities. Consumer harm is a driving metric for federal oversight. What does the data really show? Credit scores sit at the crossroads of regulation and innovation — critical to both market stability and opportunity in lending. 🎯 Whether you're a lender, tech provider, or policy watcher, this episode offers essential insights for navigating the evolving regulatory landscape in 2025. 👉 Don’t forget to subscribe for the latest in mortgage regulation, fintech, and housing policy. #ChrismanCommentary #MortgageTech #CFPB #MortgageRegulation #CFPB #CHLA #TaylorStork #CreditScores #MortgageTechnology #HousingMarket2025 #NowNextLater #MortgageNews #Fintech #Compliance #Innovation #IMB #MortgageRates #Mortgage #studentloans #wagegarnishment

Watch the full video here - https://www.youtube.com/watch?v=2AAeZ5_tDwo Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy sit down with Taylor Stork of the Community Home Lenders Association (CHLA) to unpack the major regulatory and legislative challenges facing today’s mortgage companies. The discussion centers on shifting leadership at the CFPB and SEC, new dynamics between CFPB and the U.S. Treasury, and what it all means for compliance, tech innovation, and the future of credit scoring. 💡 Key Takeaways: The new administration is “clearing the deck” — with over 1,500 layoffs at the CFPB — signaling a major reset in regulatory priorities. Consumer harm is a driving metric for federal oversight. What does the data really show? Credit scores sit at the crossroads of regulation and innovation — critical to both market stability and opportunity in lending. 🎯 Whether you're a lender, tech provider, or policy watcher, this episode offers essential insights for navigating the evolving regulatory landscape in 2025. 👉 Don’t forget to subscribe for the latest in mortgage regulation, fintech, and housing policy. #ChrismanCommentary #MortgageTech #CFPB #MortgageRegulation #CFPB #CHLA #TaylorStork #CreditScores #MortgageTechnology #HousingMarket2025 #NowNextLater #MortgageNews #Fintech #Compliance #Innovation #IMB #MortgageRates #Mortgage

Watch the full video here - https://www.youtube.com/watch?v=2AAeZ5_tDwo Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy sit down with Taylor Stork of the Community Home Lenders Association (CHLA) to unpack the major regulatory and legislative challenges facing today’s mortgage companies. The discussion centers on shifting leadership at the CFPB and SEC, new dynamics between CFPB and the U.S. Treasury, and what it all means for compliance, tech innovation, and the future of credit scoring. 💡 Key Takeaways: The new administration is “clearing the deck” — with over 1,500 layoffs at the CFPB — signaling a major reset in regulatory priorities. Consumer harm is a driving metric for federal oversight. What does the data really show? Credit scores sit at the crossroads of regulation and innovation — critical to both market stability and opportunity in lending. 🎯 Whether you're a lender, tech provider, or policy watcher, this episode offers essential insights for navigating the evolving regulatory landscape in 2025. 👉 Don’t forget to subscribe for the latest in mortgage regulation, fintech, and housing policy. #ChrismanCommentary #MortgageTech #CFPB #MortgageRegulation #CFPB #CHLA #TaylorStork #CreditScores #MortgageTechnology #HousingMarket2025 #NowNextLater #MortgageNews #Fintech #Compliance #Innovation #IMB #MortgageRates #Mortgage

In this episode of Now Next Later, hosts Sasha and Jeremy sit down with Taylor Stork of the Community Home Lenders Association (CHLA) to unpack the major regulatory and legislative challenges facing today’s mortgage companies. The discussion centers on shifting leadership at the CFPB and SEC, new dynamics between CFPB and the U.S. Treasury, and what it all means for compliance, tech innovation, and the future of credit scoring. 💡 Key Takeaways: The new administration is “clearing the deck” — with over 1,500 layoffs at the CFPB — signaling a major reset in regulatory priorities. Consumer harm is a driving metric for federal oversight. What does the data really show? Credit scores sit at the crossroads of regulation and innovation — critical to both market stability and opportunity in lending. 🎯 Whether you're a lender, tech provider, or policy watcher, this episode offers essential insights for navigating the evolving regulatory landscape in 2025. 👉 Don’t forget to subscribe for the latest in mortgage regulation, fintech, and housing policy. #ChrismanCommentary #MortgageTech #CFPB #MortgageRegulation #CFPB #CHLA #TaylorStork #CreditScores #MortgageTechnology #HousingMarket2025 #NowNextLater #MortgageNews #Fintech #Compliance #Innovation #IMB #MortgageRates #Mortgage #studentloans #wagegarnishment

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage #mortgageunderwriting #underwriting

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

Watch the full episode - https://www.youtube.com/watch?v=CFZ5U974fLM Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of the podcast, Jeremy speaks with Paul Gigliotti, Chief Growth Officer at Prudent AI, ahead of their appearance at the upcoming California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. The conversation explores how mortgage lenders can set realistic expectations for innovation—and how AI is reshaping core mortgage processes. 💡 Top 3 Insights from This Episode: 1. What Won’t Change in Mortgage Innovation? Drawing from Jeff Bezos’ famous innovation framework—“what will not change?”—Paul shares how AI adoption in mortgage must still navigate the same timeless challenges: Change management remains complex Legacy systems and workflows are sticky Training (both human and AI tools) is essential 2. Rethinking the Mortgage Process Flow AI gives lenders the flexibility to move income collection and analysis earlier in the funnel. Tasks that traditionally happened late in the loan process can now accompany the 1003 or even come in before a property is selected, driving efficiency and better underwriter prep. 3. Stop Chasing Lower Costs—Focus on Efficiency Despite the hype, AI in mortgage won’t automatically lower costs. Instead, expect workforce repurposing and new paths to profitability. Efficiency and scalability—not cost-cutting—are where true value lies. 📍 Whether you're attending #CMBAInnovators or simply exploring the future of mortgage technology, this episode offers a grounded look at what’s next in AI-driven transformation for mortgage lenders. #ChrismanCommentary #MortgageNews #MortgageTech #artificialintelligence #aiinmortgage #Innovation #mortgagelending #fintech #mortgageindustry #mortgage

On today's episode, Jeremy talks with Paul Gigliotti, Chief Growth Officer, Prudent Ai. Paul and Jeremy will be together later this week at the California Mortgage Bankers Association (CMBA) Mortgage Innovators Conference. This is an apt topic since today's discussion centered around what is the proper expectation of innovation for mortgage companies. Here are three key takeaways in this episode: Now: Takeaway #1 - Using the Jeff Bezos question of innovation “what will not change?” is a helpful framework for how Ai will expand in mortgage. What will not change? 1). Change management remains difficult 2). Existing processes and tech remain sticky. 3). Training - whether a person or a tool - are still necessary. Next: Takeaway #2 - these tasks (i.e., Income collection and analysis) need to happen but do not need to happen in the same timing these tasks have always occurred. We can actually MOVE income collection and compilation to top of funnel. It can happen or come into the underwriter WITH the 1003 or even before a property is identified. Later: Takeaway #3 - Let's stop promising lower costs. We will repurpose some people in the company. We may find expansion and growth through these new technologies. Mortgage companies rarely if ever lower costs. This is about efficiency and (probably) profitability and we'll see what happens after that. #innovation #mortgagetech #mortgage #Ai #artificialintelligence

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing #refinance

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing #creditscore

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing

Watch the full video here - https://www.youtube.com/watch?v=aZnltUJuFpA Subscribe to the channel - https://www.youtube.com/@ChrismanCommentary In this episode of Now Next Later, hosts Sasha and Jeremy dive into the evolving landscape of mortgage underwriting data—with a focus on how income, asset, employment, and rental payment history can impact approvals and operational efficiency. ▶️ NOW: For the past 15 years, the mortgage industry has favored minimal data collection to speed up approvals. While efficient, this approach often excludes otherwise qualified borrowers. Sasha and Jeremy explore why holistic data collection upfront—though slightly more work—leads to higher loan volumes and a better borrower experience. 💡 Key tip: Use trended data for new customers and leverage your own database for existing ones to create a seamless experience across purchase and refinance loans. 🔜 NEXT: Learn why rental payment history is a powerful indicator of both ability and willingness to repay a loan. But beware of the “double denial” trap: when data is used too late in the process, it can hurt rather than help. 📈 LATER: With rising rents and growing household debt, homeownership remains viable—but only if we address barriers like down payment challenges and competitive housing markets. Discover why early, data-driven underwriting can improve your success with first-time homebuyers. ✅ Sasha's advice to lenders: “Meet in the middle.” Combine data science and smart data verification tools to personalize the underwriting process. Efficiency doesn't have to come at the cost of inclusivity. 🔍 Final takeaway: “Processes are agnostic.” If your outcomes are expensive or inefficient, it’s time to audit and optimize your process—not just the data. 📌 Topics Covered: Mortgage underwriting best practices Rental payment history in loan approval Income, asset, and employment verification First-time homebuyer strategies Process efficiency in lending operations 🔔 Subscribe for more expert insights into mortgage operations, underwriting innovation, and customer experience transformation. #ChrismanCommentary #MortgageNews #MortgageUnderwriting #mortgagetech #innovation #mortgage #mortgagetips #RentalPaymentHistory #HomeLoanApproval #Fintech #FirstTimeHomebuyer #MortgageData #LoanProcessing

On today's episode of Now Next Later, Sasha and Jeremy take on the topic of underwriting data. Specifically, the question and cost of income, asset, employment and rental payment history in the waterfall of productions & operations. There is a key tension between timing and cost. Now: The industry standard over the last 15 years has created a default to “get as little data as possible” for an Approval. Meaning, the less work and documentation needed for a full approval, the more efficient and cost effective the process. Unfortunately, this is leaving out otherwise eligible customers because the process does not provide enough time or context for some customers. The industry needs to move toward collecting & underwriting all available data holistically up front. Though a fraction more work upfront, the benefits to volume and customer experience are measurable and meaningful. Look at trended data (on a new customer) and pull from your own database (on an existing customer) to make purchase and refi look as similar and work as consistently as possible. Next: Rental Payment History is monthly housing payment history therefore it is a great indicator of both willingness and ability to pay. What’s your process for thinking about this? Beware the "double denial" where it's only used as a second look and risks a denied customer finding out that the data did not help and they denied "again." Next/Later: Rents continue to go up. Household debt load continues to rise. So, homeownership remains a viable option ASSUMING you can overcome the cash (down payment) barrier and get under contract (winning the house in a competitive environment). So there is a benefit to doing holistic underwriting up front but also there is “no where else to go” so we can be stronger with our marketing and programs that serve, especially, first-time homebuyer. Sasha's recommendation to lenders is "meet in the middle" where you can combine data collection with data science. Using data verification partners and improving the timing within your operations, lenders can identifying the applicants who need a specific process and put them on the right path. Finally, "processes are agnostic" so if you are getting a more expensive or inefficient result. Look to your process for improvement. #innovation #mortgagetech #mortgage

In today's episode, Jeremy talks with Nathan Den Herder, the Founder and CEO of Ardley. Ardley is a recapture/retention platform for making real-time offers to existing customers. One of the hottest topics on Now Next Later this year is retention. Customers expect more value and a higher level of relevant offers. This means using the data a lender already has to better equip both customers and sales to find the right offer at the right time. Takeaway #1 - Do not think about servicing or retention just as defensive. Ardley looks at recapture as proactive outreach. Use portfolio data to run sophisticated analytics to reach the right customer at the right time. The result is as close to a real offer as possible with the data. Takeaway #2 - What’s next in retention is no longer “point in time” but ongoing info sharing with customers. Ardley is organized around ongoing access to deals and offer. Meaning, research shows customers prefer to come back to a dashboard or real offers to see, compare and refresh daily pricing. Game changer for homeowners and MLOs alike. Takeaway #3 - As lifetime value becomes more a part of mortgage lexicon, lenders need to make it real. Real-time data, product & pricing and communication-marketing can align to allow customers to choose their parameters for a refinance. Someday, the amount of monthly savings, the total repayment period, and home equity thresholds can all be filters or alerts where customers can set their own refinance up beforehand. When the market hits, the application begins based on customer-defined preferences. This episode has meaningful product development and data management ideas for lenders of all sizes. Whether cap markets, sales, marketing or especially Servicing, Nate has insights for you. #innovation #firsttimehomebuyer #mortgagetech

On Today's Episode of Now Next Later, Robbie Chrisman and Jeremy Potter talk with Brock Cassidy, Chief Revenue Officer, NewZip. NewZip is a real estate partner for mortgage companies to nurture purchase leads throughout the home buying process. Our conversation today was briefly interrupted by an earthquake in San Diego. Luckily, Robbie was okay. We went on to discuss the way telephony/phone is giving way to more customized outreach. For instance, Ai voice and Ai agents prepping purchase leads for mortgage loan officers to save time and money. How tech partners and app partners are nurturing a longer sales cycle in purchase. Finally, we discussed how personalized data will continue to create new lead gen innovation. Data attributes and data that points to propensity will provide even faster outreach and more personalized outreach. The only question is how strong the connection between consumer consent and the ability for the consumer to benefit from sharing their data - lower price, faster outcomes, more insights, etc.