Lending

Low Inventory Doldrums? Here’s the Cure

5 mins read
November 16, 2017
By
Total Expert

This week, the Minnesota Mortgage Association held its 2017 Annual Convention & Awards event in downtown Minneapolis. Total Expert Founder and CEO, Joe Welu, presented “Generating Leads Through Social Media” along with Andrea Kozek, MGIC’s Digital and Social Strategist. If you didn’t attend, you can hear Joe’s take on this critical business activity in our Expert Strategies podcast. It was also great to talk with loan officers about their practices and challenges, and we heard from several MLOs that Realtor enthusiasm is suffering due to low inventory.

A prevalent Realtor attitude seems to be, “Why try to get more leads if I don’t have anything to sell them?” This uninspired mindset provides an opportunity for MLOs to “come to the rescue” and be part of the solution to the low inventory doldrums by helping agents pursue potential business sources they don’t necessarily tap on a regular basis – or to their full potential. Market and news developments provide great conversation starters and compelling data that can create receptivity among different contact and prospect types to consider options they may not realize they have. MLOs can reach out to Realtor partners and prospects with ideas and assistance in approaching different groups with compelling, current information that could help generate inventory and sales.

Expired Listings

Whether the sellers were asking too much or they weren’t truly committed to making a move, these homeowners can benefit from current market data and mortgage reviews. Their homes may have appreciated and equity increased since their non-productive time on the market.

For Sale by Owner (FSBO) Listings

People who put a sign in the yard with the hope of avoiding real estate commissions might have a change of heart after seeing the following facts from the National Association of Realtors (NAR) 2017 Profile of Home Buyers and Sellers:

  • The median sold price of For Sale by Owner properties was 24% less than the median agent-assisted property sold price.
  • More than half of FSBO properties that sold were to buyers that the sellers knew.

FSBO sellers who don’t have a buyer waiting in the wings might be open to at least paying a buy-side commission.

Make Me Move (Zillow)

A lot of real estate pros use Zillow to advertise, but you can also find potential sellers by sifting through a listing type on the site called “Make Me Move.” This feature allows homeowners to promote their properties by adding photos, video and other data along with a price they would accept to move. In addition to agents pursuing these owners as potential listings, MLOs can reach out and discuss future goals, such as financing for their next home if a sale were facilitated. Homeowners dabbling with this Zillow feature may be surprised at how they can leverage equity for their next move and possibly fund other goals.

Databases: Past Client, Sphere of Influence

The concept of “what it would take to make a homeowner move” is a question all homeowners with equity should consider. Realtors and MLOs should be asking this question in their regular outreach to their contacts. Homeowners who are currently content may find that the reasons they’ve been staying put are no longer valid, or something they’ve been waiting for, such as a certain amount of value appreciation has arrived.

Reaching out to these four groups with solid, current information adds value to consumers and Realtor partners. Whether MLOs schedule working sessions and make calls with agents or they present these ideas and messaging in a setting like a Lunch & Learn, offering to get into the trenches and do the work to develop business can help create powerful bonds that extend beyond mental or market funks. Some Realtors balk at the idea of co-marketing during slow times, but that’s precisely when they should be digging in, especially with a lending partner who isn’t beleaguered by frontline market challenges like low inventory.

Even with the winter season approaching, a proactive co-marketing plan backed by tools and the encouragement of a business partner can change attitudes and production numbers. This also builds trust and a great foundation for broader co-marketing efforts on a long-term basis.

Regardless of how Realtors may be feeling right now, MLOs need to prepare for what’s on the horizon: The Mortgage Bankers Association forecasts that purchase business will increase at a faster clip in 2018 – nearly double the rate that it increased in 2017. Set the stage for a productive new year by helping Realtors tackle challenges they’re facing today.

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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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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.

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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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