Customer Engagement

Industry Professionals: Control the Narrative

5 mins read
December 28, 2017
By
Total Expert

There are several narratives rotating through the news at any given time that make their way into the public consciousness. When it comes to real estate, mortgage financing and the housing market overall, industry professionals often find themselves at the mercy of mainstream media reporters and producers who spin stories without basic industry knowledge to calibrate their interpretation of random stats and present data without insight. Realizing that the news can help or hurt business, mortgage loan officers (MLOs) and Realtors should be apprised not only of the actual news, but how it’s being portrayed so they can use their experience and knowledge to translate what it means in general and to specific individuals.

What appears to be bad news may in fact present opportunities for multiple market segments; lenders and agents can add value to consumers – and generate business – by sorting through details and uncovering what various developments mean to their target customers and communities. As we enter 2018, companies, MLOs and Realtors should resolve to get the right messages out through consistent contact and education-based marketing.

Narrative: Home prices keep climbing – we’re headed for another housing bubble. Housing prices have outpaced forecasts this year by varying degrees – depending on which data house you follow. Real estate information provider CoreLogic predicted five percent appreciation for 2017, but the numbers are currently closer to seven percent. While Florida-based Realtor Brett Maternowski describes market conditions as “a recipe for a self-sustaining housing bubble,” pedigreed industry heavyweights disagree.

Mortgage Bankers Association (MBA) Chief Economist Mike Fratatoni and Fannie Mae Chief Economist Douglas Duncan attribute the increases to steady growth amidst assertions that conditions differ greatly today from the years that led to the crash of the late 00s. Rising prices are a reality, but a bubble on the horizon is mere conjecture.

Opportunity: Shift consumer focus from prices to affordability of homes and mortgage rates. Zillow’s Q317 Housing Affordability Report shows homeownership is more affordable than rent in many major U.S. metro areas, so put the time and effort into moving beyond quick lead follow-up to detailed consumer consultation to increase conversions. In another sector, rising home prices turn post-close databases into veritable gold mines.

Reluctance of homeowners to put their homes on the market and face the possibility that finding their next home may be quite difficult is a contributing factor in our nationwide housing inventory shortage. It may not make sense for a majority of your past clients to consider moving up or downsizing in today’s market climate, but you may find many in your database to help who wish to wait it out and remodel or take advantage of still-favorable interest rates to advance other goals.

Narrative: Millennials aren’t interested in homeownership – they plan to rent forever. It wasn’t hard to convince parents with 20-somethings living in their basements that Millennials weren’t interested in owning their own homes, but Case-Shiller Home Price Index and Pulsenomics founder Terry Loebs points to social media and a lack of foundational research as the culprits for misdirecting the public’s thinking on Millennials and homeownership.

In reality, housing market and overall economic recovery has begun to “awaken homeownership demand” in the under-35 age group according to a new study  published by Fannie Mae’s Strategic Planning Director Patrick Simmons and University of Southern California Professor Dowell Myers.

Opportunity: 88 million potential households. The biggest group of home buyers to ever hit the U.S. housing market is out there – and mortgage rates are still historically low. Education-based marketing is the best way to connect with this gigantic demographic because they are diligent about doing research – especially for major purchases like homes.

A great way to get the attention of younger and first-time home buyers is by making sure they understand that it doesn’t take a 20% down payment to buy a home. In fact, the average down payment is only 7.6% of a median-priced home according to ATTOM Data Solutions. Reaching out to renters with information that lowers anxiety about their ability to buy is a great way to capture interest and motivate them to explore options.

The path to lead conversion rarely differs: MLOs and Realtors must connect, educate and incubate leads to gain clients. But you can accelerate the process by creating and delivering the real stories about housing, home buying and the market. News will never stop flowing in today’s digital age; but you can use your marketing to fight false narratives and help consumers avoid missed opportunities due to misinformation.

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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.

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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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