Lending

Headlines Happen: Make Them Work for You

5 mins read
August 28, 2017
By
Total Expert

As politicians can surely attest, headlines aren’t always helpful. On a recent episode of Expert Strategies, Joe Welu discussed how even industry-focused trade publications don’t present data in ways that can help mortgage loan officers and their Realtor partners in business.  

Recent back-to-back headlines based on data from the National Association of Realtors (NAR) and the S&P Case-Shiller U.S. National Home Price NSA Index shouted, “Home sales are down” and “Home prices are slowing.” These captions can easily be misinterpreted and cast doubt on the health of the market, but MLOs should dig deeper to uncover and present what consumers need to know in current conditions and leverage education-based marketing to stimulate interest and propel production.

Tips for Using Education-Based Marketing to Propel Production

A review of the data used in the darkly-headlined stories actually reveals great fodder to engage potential home buyers and sellers:  

  • For people concerned about rising home prices, history is not repeating itself.  
    • “Housing is not repeating the bubble period of 2000-2006: price increases vary across the country unlike the earlier period when rising prices were almost universal; the number of homes sold annually is 20 percent less today than in the earlier period and the months’ supply is declining, not surging. The small supply of homes for sale, at only about four months’ worth, is one cause of rising prices. New home construction, higher than during the recession but still low, is another factor in rising prices.” –  David M. Blitzer, managing director and chairman of the Index Committee at S&P Dow Jones Indices.
  • Sales are happening; people want to buy homes.  
    • Total existing-home sales, which are completed transactions that include single-family homes, townhomes, condominiums and co-ops showed June’s sales pace at 0.7 percent above a year ago.  NAR Chief Economist Lawrence Yun interpreted their latest data from two perspectives: “The demand for buying a home is as strong as it has been since before the Great Recession. Listings in the affordable price range continue to be scooped up rapidly, but the severe housing shortages inflicting many markets are keeping a large segment of would-be buyers on the sidelines. The good news is that sales are still running slightly above last year’s pace despite these persistent market challenges.”

Producers need to look beyond the headlines and have a general understanding of trends and data on a national level, and they must also must know everything that’s going on in their local market, including what’s on the minds of target customers. Reviewing pain points and consumer concerns with respect to current area and industry events on a regular basis is key.  

MLOs need to be students of the industry and study their target customers rather than simply reacting to what’s going on in the business. It’s easy to forget that average consumers buy and sell homes fewer than ten times throughout their lifetimes, so concise, simplified dialogues that speak to their real-life issues and goals will get you further than quoting NAR and Case-Shiller.

Using the News to Connect with Prospects and Clients

There are three basic steps to adeptly ‘use the news’ as an MLO to connect with prospects and referral partners:  

  1. Stay on top of the data and stories, nationally and locally.
  2. Identify consumer pain points in light of current events and conditions.
  3. Develop talking points and solutions that address concerns your target customers have.

Headlines will happen, but motivated MLOs can use them to start meaningful conversations that differentiate them from their competitors.  For more on this, check out our podcast, Expert Strategies:  Using the News.

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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.

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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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