Banking

More Transactions, Less Transactional Selling

5 mins read
February 6, 2019
By
Total Expert

Today’s buyers are more informed than they used to be. The act of completing a transaction can be done in the palm of their hands with the click of a button.

Consumers are also taking matters into their own hands to research their problems and weigh possible solutions – potentially eliminating any interaction they would have with a salesperson. To up the stakes even more, 65 percent of consumers have cut ties with a brand after just one subpar experience.

This shift has caused organizations to revamp their sales and marketing strategies and re-think how they interact with their customers – including lenders and their loan officers. To be profitable in the Amazon, Uber and Netflix era, loan officers must develop long-term relationships built on trust and a superior customer experience.

The loan officer that understands their customers’ needs, supports them through the decision-making process and delivers real value from first engagement to post-close is the one that wins.

The less emphasis on the transaction, in turn, leads to more transactions. Here’s how the modern loan officer can rise to the top and maximize the lifetime value of their customers.

Hyper-Personalized Marketing – at Scale

According to the McKinsey Global Institute, data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers and, as a result, 19 times as likely to generate ROI.

Personalization has become more than a buzzword and is at the root of deepening customer, prospect and partner relationships. However, before an organization can even begin to think about scaling personalized communications, they must have access to the right data.

Fortunately, advancements in technology have significantly lessoned the burden of collecting and analyzing mountains of data – making it possible to turn your mountains of data into measurable ROI.

While it is not revolutionary to use data to inform marketing decisions, using data to enhance the customer experience at every touchpoint is. When a borrower is on the cusp of purchasing a new home, refinancing or any other life-changing event, they need the right information at the right time. This is where access to the right data and a powerful Marketing Operating System comes into play to deliver this information to them in a personalized manner.

After all, 49 percent of customers have made a purchase with a repeat brand due to a personalized recommendation.

Think Long-Term: Customer for Life

It’s easy to fixate on the next deal, the next transaction and the next customer. However, the numbers don’t lie when it comes to nurturing existing relationships to generate new business.

Cultivating new customers costs five times as much as retaining existing customers. What’s more, an estimated $1.6 trillion dollars has been lost in the U.S. alone from customers switching brands due to poor customer experience.

Plus, odds are, if your customers are satisfied with their experience, new business will come in automatically based on referrals. It pays to keep your customers happy as opposed to continually chasing the next deal to fill the pipeline.

So how do you keep customer satisfaction at an all-time high – transforming first-time customers into customers for life?

Create an exceptional customer experience.

Consumers want to be communicated with on a one-to-one basis. Know your customers’ preferred channel of communication, communicate with them on a regular basis and provide information that is relevant to them based on their current life events.

As people, we are guilty of sticking with our favorite brands no matter how much their prices increase. Why? They’ve earned our trust, their products or services meet our expectations and we know exactly what the experience will be like anytime we interact with their brand.

Conclusion

Today’s consumers are going to continue to have endless options. Now is the time for lenders and loan officers to evaluate their marketing strategies and ensure they are nurturing relationships with personalized messaging before they drive their customers into the arms of their competitors.

The key to growing your ROI? Personalize your marketing and engagement, earn the trust of the borrower and create brand loyalty. Not only will you establish deeper relationships with your customers, you will have earned a customer – for life.

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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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