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Now Next Later is a show intended to provoke thoughtful challenges to the assumptions and strategies common to the housing finance industry. The show believes that looking at the mortgage businesses from a different perspective is critical to staying ahead of constant changes. Join each week for new insight and perspective on some of the industry’s most persistent problems. The show includes expertise in product development, go-to-market, data analytics and innovation, and answers well to the high expectations we’ve set for ourselves and our colleagues.

Mondays at 10:00AM PT / 1:00PM ET

Refinance Apocalypse - Why It's Closer Than You Think!
00:40

Refinance Apocalypse - Why It's Closer Than You Think!

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
Beyond Credit Score - Unlock True Borrower Potential
01:17

Beyond Credit Score - Unlock True Borrower Potential

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
Borrower Experience - Stop Losing Homebuyers With Confusing Mortgage Jargon
01:43

Borrower Experience - Stop Losing Homebuyers With Confusing Mortgage Jargon

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
Underwriting Costs  Stop Wasting Money on Failed Attempts!
01:38

Underwriting Costs Stop Wasting Money on Failed Attempts!

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
Smarter Lending - Trended Data & Proactive Underwriting
01:01

Smarter Lending - Trended Data & Proactive Underwriting

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
AUS Limitations - Reactive Lending's Innovation Bottleneck
01:46

AUS Limitations - Reactive Lending's Innovation Bottleneck

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
Data Science Comeback - Propensity Models & Simulators
01:04

Data Science Comeback - Propensity Models & Simulators

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
Now Next Later April 28, 2025 with Sasha and Jeremy
31:17

Now Next Later April 28, 2025 with Sasha and Jeremy

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
Now Next Later Monday April 21, 2025 with Nate Den Herder, CEO of Ardley
32:01

Now Next Later Monday April 21, 2025 with Nate Den Herder, CEO of Ardley

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
Now Next Later Monday April 7, 2025 with Skye Laudari from Crib Equity
31:01

Now Next Later Monday April 7, 2025 with Skye Laudari from Crib Equity

On today's episode of Now Next Later, Sasha and Jeremy are joined by Skye Laudari. Skye is the CEO and co-Founder of Crib Equity, a shared equity platform for homebuyers. Focused on first-time home buyers, Crib Equity makes an investment in the home alongside the homebuyer in exchange for ownership in that percentage of the home later. In this action-packed episode, Skye will talk through the product itself, who the best customers are for Crib Equity, how lenders & MLOs can partner with Crib Equity and finally what happens at exit or sale. Takeaway #1 - Crib Equity is a home buyer product that allows a homebuyer to bring as little as 10% down, Crib Equity invests at least 10% as well and the first mortgage is a standard mortgage (today NonAgency) and 80 LTV or less. Takeaway #2 - The question for MLOs and home buyers is one of liquidity versus monthly payment. How much do you want to put down versus pay each month? Right now conventional is essentially binary - PMI or not. Increasingly, homebuying is actually becoming - how much home do you want to buy? Takeaway #3 - What does the exit from a shared equity agreement look like? 1). Rate & Term Refi is always an option. 2). Selling the home divides net proceeds among owners. In this case, the home owner and investor each have the pro rata share based on their %. 3). Cash out Refi can provide options to homeowner. Cash out and pay out investor to remove them. Cash out and keep the investor requires approval. Is this the future of home buying? Tune in and find out. #innovation #mortgagetech #mortgage #sharedequity #sharedappreciation
Now Next Later February 24, 2025 with Melissa Langdale
29:53

Now Next Later February 24, 2025 with Melissa Langdale

On today's episode of Now Next Later, Jeremy and Robbie are joined by the founder of Praxis Lending Solutions Melissa Langdale. Melissa has spent her entire career in mortgage. Most recently leading The Mortgage Collaborative (TMC) and now helping lenders and other companies in the mortgage industry with implementation, adoption and change management. Her executive mindset and approach will be valuable to mortgage and tech companies alike. Takeaway #1 - The gap between what lenders envision versus what is delivered is ROI. We talk a lot about build, buy, partner BUT the key is what is delivered. Lenders that need to partner are at risk of ROI. Takeaway #2 - Show me your incentives and I’ll show you the outcome. If lenders are focused on consumer experience, what are the incentives? If lenders are focused on team member efficiency, what are the incentives? Human nature is to resist change. How you shift the risk to the company to change? Takeaway #3 - “Make the LOS as small as possible.” Wrap around holistic solutions (to Jay’s point in the chat). This is how we can save cost & differentiate. But it does require a more holistic strategy. Final Takeaway - “Fully instant approval is possible” but is not realistic today. The answer for lenders who want to grow in the future is scalability. Focus on scalability first and big digital vision later. Closing Thought: Change management is critical to success. Check out Melissa for more on being ready for what’s next. #innovation #mortgage @NowNextLater_Housing
Now Next Later February 3, 2025 with Kristin Broadley
30:45

Now Next Later February 3, 2025 with Kristin Broadley

This episode of Now Next Later is presented by Silk Title. Kristin describes the best practices of risk management for mortgage originators. With automation and the changing landscape of GSE loan delivery, there has never been more attention on the loan manufacturing process. Before you think that's not an interesting topic, click on our episode and then tell us what you think. Turns out, creativity and innovation are at the heart of both risk management and the next 18 months in the mortgage industry. Takeaway #1 - creativity and risk management are not oxymorons. In fact, now is the time to evolve the review / QC / risk management process to match the creativity and speed of the pipeline. Takeaway #2 - ultimately this is all a business decision. Kristin has a forward-looking view of risk management. Repurchases are a lagging indicator. Be looking at the manufacturing process - what changed? what costs are new or lingering? What vendor relationships exist? Build the program according to where you are going. “The rear view mirror is smaller than the windshield” - Sasha’s reminder for us today Takeaway #3 - "Pivot!" We need to be disciplined with the project management but be comfortable to pivot if you find something is not happening - adoption - or the market changes - GSEs update or change, etc. Final takeaway - Risk management is a competitive edge because it maximizes ROI. IMBs can actually understand risk / reward given the recent experience. #mortgagenews #mortgage #innovation #fintech #chrismancommentary @NowNextLater_Housing
Now Next Later January 6, 2025 with Marc Trachtenberg
33:05

Now Next Later January 6, 2025 with Marc Trachtenberg

In this episode, Sasha and Jeremy talk mortgage-title partnerships with Marc Trachtenberg, Chairman and CEO of Silk Title Co. Marc has been building Silk Title for the last decade into one of the largest independent title companies in the country. We discuss how Silk applied technology to improve operational costs, efficiency and certainty for lenders. Takeaway #1 - Look at automation first but automate the least risky things first. Start with the “automatic” stuff. Then move to next most difficult and next. Take the time and don’t look for shortcuts. “Boring” answer is usually the right one. Takeaway #2 - Training a system is harder than training a team member (hours on hours) and also once you are done, there might be more ROI when the system can run 24/7. Takeaway #3 - Lowering the cost in the outcome NOT the strategy. The 2 key points are 1). Data gathering and verification more efficient = lowers operational cost which can be passed one 2). Moves to use that data better (and make better decisions) will lower the overall product cost time. Final Takeaway - Final takeaway from Marc - using land records better and faster is actually more about “lead gen” rather than truth data. In other words, is blockchain the key or is the access to real-time lien data / land record data the key? Could a state or municipality use blockchain - for sure - but also can we make significant progress accelerating “propensity” data? Yes. #innovation #mortgage #mortgagenews @NowNextLater_Housing
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