Lending

Prepping for Refis: What Lenders Need to Know

5 mins read
January 2, 2024
By
Mike Waterston

It may have taken longer than we were all expecting (and hoping for), but the Federal Reserve finally announced its first rate cut in over four years. Now, virtually everyone who bought a home in the last 18 months will be eager to take advantage. As the market shifts, mortgage lenders could be looking at as much as $500 billion in up-for-grabs refis.

But lenders will have to work a lot harder than they did in 2020 to capture those refis. And underneath that golden opportunity sits a tremendous risk: With a huge volume of practically new mortgages likely to turn over, loan servicers could see a number of recent loans running off their books while lenders face enormous early pay-off (EPO) penalties if they can’t hold onto their existing customers when they refinance.

Mortgage market will accelerate as Fed rates fall

After 11 rate hikes starting in March 2022, the Fed has been adamant that it intends to lower rates in 2024 and 2025. Exactly when those cuts will happen (and how big they’ll be) remains a mystery—one that causes significant market fluctuations after every meeting.

After two-plus years marked by rising rates and rising housing prices, mortgage lenders are naturally optimistic about the coming year. “We expect that this path for monetary policy should support further declines in mortgage rates, just in time for the spring housing market,” Mike Fratantoni, chief economist at the Mortgage Bankers Association, told Bankrate. The National Association of Realtors predicts home sales will rise by 15% next year as falling rates bring hesitant buyers off the sidelines.

A very different kind of refi surge

But the real golden goose will be the oncoming wave of refinancing. Nearly every homeowner who bought between late 2022 and early 2024 did so with an explicit plan to refinance as soon as the highest rates in decades began falling.

How big is that refi opportunity? If rates drop below 6.625%, organizations working with Total Expert will be looking at an estimated $81 billion in refis up for grabs—and that opportunity jumps up to $190 billion if rates get below 6.0%.

But this refi surge is going to play out a lot differently than the one we experienced in 2020-2021. That was a true tidal wave: 2020 saw $2.6 trillion in inflation-adjusted refinance originations. Refi customers were pouring through lenders’ doors, and the only strategy then was: “try to keep up.”

In 2024/2025, lenders will see a lot more competition for that $190 billion in up-for-grabs refis. They won’t be able to sit back and wait for refis to come to them; their competition will be out stealing those opportunities.  

A major opportunity that could quickly turn into catastrophic risk

Mortgage lenders are going to have to balance two priorities: attracting new borrowers who patiently waited for rates to drop and retaining previous customers who impatiently waited for rates to drop. Both groups present major opportunities, but focusing too much on either could have severe and long-term consequences. Only focusing on new homebuyers means risking losing existing customers and incurring massive EPO penalties. On the other hand, ignoring new borrowers for the sake of retention means missing out on a huge slice of the new purchase pie.

That’s because the 2024/2025 refi surge will differ in another important way: Nearly all refis will be on mortgages originated within the last two years—with a huge portion originating within the last 12 to 18 months. Losing refis is always a hit to long-term revenue, but losing these refis will bring a wave of EPO penalties that will quickly overwhelm lenders that may already struggle to be profitable in the current market.

Given the volume of at-risk mortgages, the damage could quickly get serious. With the industry-average retention rate hovering around 20%, a mortgage lender that originated 1,400 loans above 6.5% over the last 15-18 months stands to lose over 1,000 of those refinance opportunities—adding up to $280 million on lost loan volume (assuming an average loan size of $250k). If 800 of those loans are less than six months old, they are at risk of paying out roughly $4.8 million in EPO penalties.

Proactive engagement will win the battle

Whereas 2020 was a bit of a “rising tide lifts all boats” situation, 2024/2025 will see a sharp divide between winners and losers in the mortgage lending industry. And for once, winning won’t be all about new originations and new customer acquisition: The top priority needs to be holding onto existing customers’ refis to prevent EPOs from torpedoing revenue and growth from below.

That means engaging customers proactively—now, not when rates finally drop—to help them understand what’s coming in 2024/2025. Help them make the cost-benefit calculation of refinancing at a lower rate versus waiting four, six, or eight months for rates to fall further. This is the kind of genuinely useful educational engagement that earns loyalty and will outshine the low-rate competitor offers, which are guaranteed to sit at the top of your customers’ inboxes every day.

Prioritizing refi retention: Put the mechanics in place now, or risk playing catch-up

Refi activity will accelerate quickly once rates start to drop in 2024. Your competitors will have their fingers on the trigger of their refi acquisition campaigns, aiming to be the first to entice your customers with low rates. But while they wait to steal your customers, you can start engaging and educating customers TODAY, positioning yourself as their best resource for when they’re ready to refi.

Want to see the four things that define the winning mortgage lenders?

Read our latest refi guide: https://info.totalexpert.com/dont-send-your-refinance-opportunities-into-orbit

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Delivering AI Solutions that Drive Real Value in Financial Services

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By Pete Karns, Chief Product Officer, Total Expert

AI is no longer a future state—it’s already here, embedded in everything from ride-sharing apps and food service to factories and farms. In the world of financial services, though, this ubiquity comes with pressure to integrate AI fast, appear innovative, and keep up with competitors—all while being mindful of evolving federal and state compliance requirements. Moving fast without a plan or awareness of up and downstream implications often leads to AI-enabled solutions that either underdeliver or don’t deliver at all.

At Total Expert, we’ve taken a different path: thoughtful integration over flashy announcements. As more financial institutions wrestle with what “real AI adoption” should look like, here’s what we’ve learned and what lenders need to consider to get it right.

Where enterprise AI goes wrong

Too many financial services leaders have experienced what I call “AI failure to launch (and scale).” They’ve rushed to try unintegrated AI-enable offerings and bolt on AI tools—often generalist chatbots, white-labeled versions of generative tools, and/or hooking up to MCP servers—without a clear sense of how these tools will solve their business problems or add potential risk. The result? The occasional value-add result. However, what we see more is poor user adoption, wasted spend, and limited impact.

This is the same trap we saw with “digital transformation” a decade ago, or the original horizontal SaaS applications that evolved or were replaced by vertical-specific solutions. AI-enabled solutions offer tremendous, generational promise but they risk becoming vanity-first, value-later tools. We are focused on the former.

AI that thinks and adapts: Welcome to agentic AI

Let’s make one thing clear: not all AI is created equal.  

Chatbots have been commonplace in financial services for a decade now, but remain rigid, rule-based tools that handle repetitive tasks.  I’ve worked with “AI” services for more than 15 years and each had their own place and potential when used properly. Herein lies the opportunity. Modern lenders that are focused on retaining and growing their customers in an ultra-competitive market need something more dynamic. Enter AI agents that can understand context, adapt on the fly, and speak in a human-like way. These agents are coachable, brand-aware, and learn from every interaction. They don’t follow scripts—they think in real time. And when built correctly, they become a seamless part of your customer experience.

This is the evolution from AI as a support function to AI as a trusted team member.

Total Expert recently launched an AI Sales Assistant that puts this principle into action. It functions as a scalable, intelligent teammate—able to engage leads, deliver personalized conversations, and identify high-potential opportunities—all while staying aligned with your brand voice and compliance requirements. It’s not a chatbot bolted onto a CRM—it’s a fully integrated AI-enabled solution, utilizing data, embedding within workflow orchestration, and playing nice with application logic because it has the necessary context to work within your lending ecosystem.

The real “why” behind AI adoption

Before choosing any AI solution, or any technology solution, financial services firms must ask themselves: What business problem are we solving?

For example, when mortgage rates dropped for a few weeks in September 2024, our customer intelligence capabilities identified nearly $2 billion in immediate refinance opportunities. But no team of loan officers could scale quickly enough to reach every qualified lead. That’s where AI tools prove invaluable—automating first-touch outreach at scale, surfacing the best opportunities, and empowering human teams to scale up execution to drive retention and growth.

Why embedded beats bolted-on

The types of AI-enabled solutions we are talking about can’t function effectively in isolation. Without access to timely and accurate customer data, and invoked within a specific workflow process, it can’t personalize interactions, anticipate needs, or drive conversions at the right time.

Picture an AI assistant offering a refinance to a customer, only to stall when asked for more details. If it doesn’t know the customer’s current rate or financial profile, the experience feels hollow. That’s not just ineffective—it damages trust.

By contrast, when AI-enabled solutions are embedded within a unified customer experience platform like Total Expert, it draws on a 360-degree view of the customer. It knows the data, understands the history, and delivers contextually rich conversations that convert.

This is why we’re designing our AI capabilities with a focus on the unique needs of financial services organizations. The same purpose-built approach has earned the Total Expert platform its unmatched reputation for usability and time to value.

Generalist AI offerings can be a gamble that increase costs—and time to value

Implementing AI that’s not purpose-built for financial services introduces two major risks:

1. Usability failure: Your team must spend months customizing and configuring a generalist AI tool to make it work for your specific needs—if it will ever work at all. For example, imagine you’re a loan officer and one of your referral partners introduces you to a borrower. Now, you have to choose the best way to approach the first conversation with this borrower. There are countless permutations of questions and answers which all require deep personalization, compliance awareness, and consistent representation of the sales processes and brand tone of the lender. Generalist AIs will quickly reach their limitations in these complex use cases.

An industry-focused AI offering will be trained on this specific use case and provided with the context needed to hold a dynamic conversation with the borrower. This type of AI learns and adapts with each interaction, performing the most time-consuming tasks so you don’t have to.    

2. Compliance risk: Without built-in industry guardrails, you’re gambling with regulatory violations and brand safety.  As we know, the compliance landscape for financial services is broad and evolving at the federal and state level.  Look for AI offerings that are regulatory aware and enable you to configure them based on your organization’s risk tolerance and interpretations.

Lenders don’t need more tools—they need the right tools—ones that work out of the box, understand industry nuances, and deliver immediate, compliant value.

Ask these questions before you commit to an AI offering  

To maximize the probability of success, here’s a quick checklist for vetting solutions:

  • Can it solve a real, high-value business problem, and how? Review specific examples and ask to speak with other organizations that have implemented the tool.
  • Does it function as a true AI agent, not a static bot?
  • Can it be deeply integrated into your core system(s), workflow orchestration, and data?
  • Does it include financial industry compliance and brand guardrails?
  • Can it scale without sacrificing quality or regulatory integrity?

Building the future with purpose-built AI

Total Expert has always designed technology with financial services in mind, and our approach to utilizing AI is no different. We’re not chasing hype. We’re solving problems.

Our focus on AI isn’t simply building standalone features—it’s about embedded, intelligent, and deeply integrated AI solutions. It’s helping lenders scale smarter, engage more meaningfully, and turn data into action. Our AI Sales Assistant is just the beginning—an example of how purpose-built, AI-enabled solutions can solve real problems and deliver tangible value. We are already testing and exploring other AI-enabled solutions and I could not be more excited about the current and potential value our clients and our market will achieve.

Because when AI works, it’s not just impressive—it’s indispensable.

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