Lending

Scaling Success: Why Thinking Small Is Holding Mortgage Lenders Back

5 mins read
May 28, 2025
By
Mike Waterston

There’s a relentless urgency within mortgage lending. The pressure to close deals, meet quarterly targets, and adapt to fluctuating rates naturally pushes lenders to prioritize the here and now. But this focus on short-term wins too often creates—and then exacerbates—flawed approaches that ultimately hinder longer-term, bigger-picture success: siloed teams and efforts, reactive engagement, and lagging tech adoption.

By shifting their perspective toward an enterprise-level strategy that aligns teams and technologies across sales, marketing, and operations, lenders can break out of the perpetual loop of urgently chasing immediate opportunities and capture the larger and more sustainable value of building long-term strategies centered on winning customers’ lifetime loyalty.

The small-scale thinking trap

What does small-scale thinking look like for lenders in practice? Here are a few of the symptoms:

  • Siloed teams and technologies: With every team chasing its own urgent priorities, efforts can’t be aligned and optimized. Moreover, marketing, sales, and operations each work with their own tech tools and off their own source of data truth. Loan officers (LOs) aren’t capitalizing on marketing campaigns, and marketing teams can’t see LO communications with customers, so they target the wrong audience with the wrong message. No one has a centralized, confident view of the entire customer journey.
  • Reactive approaches to customer engagement: LOs looking for the quickest wins will end up chasing “hot leads”—at high cost and low conversion rates—instead of nurturing a customer-for-life strategy. At an organizational level, this creates a problematic elastic staffing model. LOs are hired and let go in response to market fluctuations rather than building a solid team working to build long-term customer relationships.
  • Lagging tech adoption: When every team and individual contributor is focused on this quarter, this month, or this week, there’s no time (and no organizational appetite) for making broad process changes—or implementing tech tools to enhance operations. The “pain of change” always looks scarier than the “pain of same.” Ironically, by failing to make long-term investments in technologies that can streamline processes and give LOs better customer insights, LOs are limited in what intelligence they have to act on today.

These common pitfalls converge in many lending organizations to drag down operational efficiency, create inconsistent customer experiences, and ultimately leave teams lacking the robust and reliable information they need to pursue their best and most profitable opportunities.

Creating an enterprise-level advantage

What does broader thinking look like? A true enterprise-level strategy starts by breaking down the silos that exist across teams and technologies, giving lenders the foundation of complete, centralized customer data that powers several unique advantages.

  • Cohesive customer experiences: Delivering consistent messaging and seamless experiences across all channels and touchpoints. Using that centralized source of customer truth to make the customer feel seen, known, and understood by delivering hyper-personalized, hyper-relevant engagements—from better marketing campaigns to right-timed outreach from LOs.
  • Data-driven decision making: Centralized customer profiles fuel better analytics, giving lenders deeper and more accurate insights into customer behavior, market trends, and operational performance. This data can then guide sales and marketing strategies, more precisely identify immediate intent signals, and more effectively engage customers to build long-term relationships.
  • Operational efficiency: A centralized customer data platform automates many of the manual tasks that LOs do every day and gives marketing teams smart automation for campaign workflows. This allows your people to do more in less time, driving productivity, reducing operational costs, and freeing up their time for the more strategic work of a customer-for-life strategy.

Technology as the foundation and catalyst

Executing an enterprise-level strategy demands fundamental process changes and relies on your people’s buy-in. But technology is both the foundational step in creating this organization-wide alignment and the catalyst in getting all teams working toward customer-for-life principles.

To break down silos, lenders need to implement a robust customer intelligence platform that makes it fast and reliable to integrate all customer data streams into a single, central hub. But that customer intelligence platform should not be just a static data warehouse. Lenders need platforms with built-in tools for acting on that centralized customer data. That means purpose-built capabilities for automating marketing campaigns, lead-nurturing journeys, and giving LOs prioritized dashboards for follow-up engagement. Best-in-class platforms go one step further, providing integrated analytics dashboards that highlight real-time performance indicators, surface high-value customer intelligence insights, and help lenders find that balance between nurturing long-term loyalty and capturing today’s best opportunities.

But how do you get buy-in to make this change?

The urgency of today makes it difficult for organizations to overcome the inertia of the status quo, and makes individual contributors resistant to change. LOs often feel overwhelmed by anything that takes their focus away from pursuing their best leads today. Here are three strategies that leading lenders have used to overcome this resistance:

  • Make it their idea: Engage loan officers in examining flawed processes and evaluating new technologies. Giving them this frontline role in change management gives them an empowering sense of leadership. It also helps ensure that the technologies you implement will fully meet the needs of your power users.
  • Show them how their jobs will get easier: Make sure LOs—and all stakeholders—see how implementing a more innovative customer intelligence platform will give them specific advantages—from enhancing day-to-day productivity, to helping them prioritize their best leads, to uncovering new markets and opportunities.
  • Ensure your vendor can provide training and support: Most tech deployments fail to reach promised value because users don’t understand how to get the most out of the tools. That’s because no technology is plug-and-play, no matter how user-friendly it appears. Your vendor partner should be able to provide on-demand training to onboard your teams, as well as ongoing support to train new staff and coach users on features and functionalities.

Let’s be blunt: The mortgage industry is brutally competitive. Every lender needs to make sure they’re delivering results in the short term—or there will be no long term. But over-rotating on immediate opportunities leads lenders into problematic patterns of reactive, disjointed customer engagement—inefficient patterns at best, and likely to fall well short of rising consumer expectations for seamless, personalized experiences.

Investing the time and effort to align your teams and target long-term customer loyalty is the only way to build a sustainable footing to survive market fluctuations and thrive when opportunities arise. And that enterprise-level strategy demands a foundational customer intelligence platform that can bring together all your customer data, give your teams a central source of truth to orchestrate efficient efforts and consistent customer experiences, and surface the actionable intelligence that guides a data-driven approach to winning customers for life.

Resources

Related posts

AI

[Lykken on Lending podcast] Supercharging Mortgage Lending with AI

mins read
Read more

The mortgage industry is in the midst of a historic transformation—and artificial intelligence is leading the way. Our Founder & CEO, Joe Welu, joined David Lykken for an episode of the Lykken on Lending podcast to discuss how Total Expert’s AI solutions will reshape the customer journey for lenders.

From incubating leads and mining databases to nurturing post-close relationships, Joe shares how voice AI is giving loan officers “superpowers” that help scale productivity, improve retention, and focus on delivering the high-value advice consumers need most. With compliance guardrails built in and multiple AI agents on the horizon, this episode offers an inside look at the future of mortgage lending and why early adopters of AI will hold a major competitive edge.

Joe also explains why the human element remains central to homeownership, and how AI is designed not to replace loan officers, but to free them up for more meaningful conversations that strengthen customer trust and drive long-term loyalty.

Catch the conversation to hear how AI is revolutionizing lending and why Joe believes those who embrace it will be tomorrow’s market leaders.

Supercharging Mortgage Lending with AI
AI

[Daily Mortgage News Podcast] Joe Welu Talks Agentic AI in the Mortgage Industry

mins read
Read more

Total Expert Founder & CEO Joe Welu recently joined Robbie Chrisman for an episode of the Daily Mortgage News podcast where they discussed the current (and future) state of the mortgage industry, challenges facing lenders and loan officers, and the solutions that AI-enabled tools can provide in difficult markets.

Agentic AI is reshaping loan officer productivity and customer engagement. With Total Expert’s new AI Sales Assistant, lenders can automate lead incubation and qualification—achieving human-like conversion rates in weeks, not months. Joe also highlights the power of voice AI to revive aged leads, trigger refinance opportunities, and prevent deals from falling through the cracks, all without the need for massive call centers and without removing loan officers’ ability to build authentic human connections with borrowers and homeowners.

That’s because AI-enabled tools are designed to reduce the administrative and repetitive tasks that take you away from what you do best: advising customers and guiding them toward the best possible financial outcomes. Joe also shares insights on selecting AI partners wisely, managing data responsibly, and capitalizing on both front- and back-office efficiencies. As the AI arms race heats up, Total Expert aims to empower originators—not replace them.

Joe and Robbie's discussion begins at the 4:55 mark.

AI

Delivering AI Solutions that Drive Real Value in Financial Services

mins read
Read more

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.

See Total Expert
in action

Sign up
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Create sustainable growth and increase loyalty with a customer engagement platform that’s purpose-built for financial institutions.
Schedule a demo