Loan Officer

Shrinking Opportunity? Get – and Grow – Your Share

5 mins read
January 11, 2018
By
Total Expert

The new year frequently begins with a great deal of motivation and determination; but reality sets in fairly soon after the short holiday weeks are over and predictions start flooding in. Forecasts – positive, negative and everything in between – should be taken with at least a small grain of salt because there are always companies and people who succeed during tough times and those who fail in favorable conditions. The lending industry could easily find cause for concern in light of the following prognoses:

Loan Volume

Fannie Mae (FNMA) predicts origination volume will be $1.731 trillion dollars in 2018 – down $81 billion from 2017 and a whopping $240 billion less than 2016’s final total. Growth becomes trickier when opportunity contracts.

Buyer Ability

Entry-level homes will see price increases of 10.5-11% in 2018 according to the American Enterprise Institute‘s (AEI) Center on Housing Markets and Finance Co-director Edward Pinto. Wage growth isn’t likely to keep pace, effectively shrinking the pool of first-time home buyers.

At the very least, predictions that the number of mortgages originated will drop along with the number of borrowers who can afford them can dampen spirits. But left unaddressed, they can provide excuses for lackluster performance and unmet goals. The FNMA and AEI forecasts are just two in what will be a continuous parade of predictions that will remain heavy throughout third quarter. How will your company pivot in response to unwelcome market changes to grow your share of a “pie” that predictions say is getting smaller?

Delegate

Companies and marketing departments need to support producers in focusing on higher-margin purchase loans – whether or not the number of originations does in fact decrease this year. Purchase business is more lucrative, but it’s also more time-consuming. Mortgage loan officers (MLOs) need to be removed from the mundane, repetitive tasks to spend more time with Realtors, nurturing leads and reaching out to past clients and their sphere of influence to mine for referrals.

In addition to the time required to build and maintain relationships to develop business, an American Bankers Association survey says MLOs need to be available to conduct it in person. The study revealed that 60% of American consumers in all age groups say they still prefer to apply for a mortgage in person versus online. While 17% preferred online application, another 23% were unsure, so these numbers indicate loan officers need to be available to meet with customers. Surround MLOs with adequate support staff to manage details that don’t require their personal attention.

Consider implementing a Hub & Spoke model of business to power teams or regions of originators. Properly-trained marketing and sales support are the “hub” and your MLOs are the “spokes” extending out into the community. This structure will allow your people – support and sales – to do what they do best, to benefit your customers and bottom line.

Automate

If the AEI prediction is right, and rising prices make it more difficult for first-time home buyers to enter the market, the sales cycle gets significantly longer. It’s impossible to nurture leads over the long haul if they’re not organized and managed consistently. MLOs often find themselves working across multiple platforms with leads in various phases scattered about – and money left on the table. Companies should provide a centralized system that organizes leads and contacts and keeps them enrolled in various forms of marketing and communication.

Past clients and sphere of influence should get regular touches that reinforce your brand and add value, while leads need to be placed on appropriate drip campaigns. It’s important for people to see your name pop up in their inbox frequently, even if every email doesn’t get read. Establishing and maintaining basic lead management and follow-up is great, so be sure to expand your efforts into multiple channels via social media, texts and other ways that create awareness.

One reason many salespeople have lead leakage and leave money on the table is because they don’t have a solid plan backed up by tools to execute it. A lead can’t make its way from the “top of the funnel” to becoming a closed transaction if it never makes it into the funnel in the first place. Research and commit to a reliable CRM that allows MLOs and teams to schedule and be accountable for executing follow-up tasks for all opportunities.

Expect more predictions – good and bad – as first quarter unfolds. Delegation and automation can help you tackle all sorts of obstacles, and honing your best practices can insulate you from conditions that would otherwise disable your progress and keep you from reaching your goals. It’s a good idea to examine your overall plan for this year along with provisions you’ve made to deal with market and other variables that may arise. Ultimately, forecasters won’t determine whether or not “opportunity shrinks” in 2018, you will.

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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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