Lending

Empower Loan Officers to Drive Your Digital-First Organization

5 mins read
September 12, 2018
By
Total Expert

The only way to become a truly digital organization is to empower your loan officers to be at the forefront of transformation. If users don’t adapt to and adopt new technology, nobody wins. Success depends on your ability to understand your loan officers so well you can anticipate their needs and exceed their expectations.

Remember: When your loan officers and their teams leverage your corporate tech stack, they’re actually signaling they trust you. With their book of business.

So, what do loan officers really want?

Time and money.

More time in their life so they can grow their business and spend more time with their family or on their favorite adventure. And more money – for obvious reasons. Everything else is simply a bi-product of understanding those two pain points.

Done right, technology augments the human capacity for greatness. When it comes time to choose a sales and marketing tech stack for your loan officers, thesefive considerations will alleviate their constraints around time and money and increase your likelihood of digital success.

  1. Tell Them What Comes Next

    Being a loan officer is never dull. And it’s only one misstep from being downright chaotic. From chasing down documents to following up with a new co-marketing partner or lead, loan officers have a constant need to know what they need to do next to keep deals moving into and through the pipeline. The more their tech stack streamlines their day-to-day tasks, the more time they have to create high-quality, high-touch experiences in person.  

  2. Tell Them What Has Been Done

    In the same vein, your loan officers need to know what has already been done so they know at a glance how business is shaping up for the month – and what they still need to do to hit their numbers. They want to know what processors, LOAs, real estate agents and borrowers are doing with files or how they are engaging with marketing campaigns in order to make more informed decisions to bolster relationships and close deals.

  3. Tell Others What Has Happened

    Two words: data autonomy.
    Data autonomy gives your loan officers the power to maintain control over their data. This means having the flexibility to store, access and manage it with the click of a button. Loan officers need to be able to leverage their data to drive actions without the delay or inaccuracy of human intervention. In our digital-centric world, it’s more important than ever to empower our loan officers with data so they can deliver consistent, constant communication to their co-marketing partners and prospects alike. Whether their leads are mid-nurture, in process or post-closing, loan officers want technology that will help them keep everyone on the same page.  

  4. Brand Them

    Loan officers are on the front lines trying to stand out in their communities day in and day out.  
    Personal branding within the enterprise isn’t just a box to check off on a requirements list. To your loan officers, it’s everything. At the corporate level, you must support their personal brand to empower them to distinguish themselves in the local community. The reality is that a buyer is more likely to choose a loan officer they know and trust. In addition to an uptick in business, big companies bolster consumer trust when they tap into the personal brands of their top producers.  The key to making personal branding work within the enterprise is to have the systems and controls in place to maintain quality and integrity at a corporate level while simultaneously giving loan officers the freedom to align their personal brands alongside the corporate one.  

  5. Market Them

    Your loan officers care about one thing and one thing only: leads. But not just any leads. They want a steady stream of leads – new, qualified leads – filtering into their pipeline. It stands to reason the more contacts a loan officer has, the greater the likelihood one of them will be ready to transact at any given time.  

    But not necessarily.  Skilled salespeople – relationship managers – know timing is everything. Unfortunately, most loan officers spend a large chunk of their days digging through long lists of leads, trying to figure out who to contact next. Any tool that not only surfaces the hottest leads for them at login but also automates routine communications so that the right message gets delivered to the right person at the right time will make heads turn (not to mention make adoption rates skyrocket).  

Enterprise Tested, Loan-Officer Approved

Bottom line? Technology can free your loan officers from the minutia that keep them from growing their books of business, so they can listen to their borrowers and their financial needs to coach them, setting them up for financial success. Technology can put them out in front of customers, so they can establish deeper, more meaningful connections that last a lifetime. But only if your loan officers find enough value in their tech stack to start leveraging it in the first place.

Trey Rigdon is the Director of Digital Experience at Movement Mortgage, one of the nation’s 10 largest retail mortgage lenders. Trey leads the Marketing Technology and Digital Experience teams as they innovate the digital experience for the loan officer, real estate agent and borrower.

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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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