Customer Engagement

How to Turn Your Salespeople into Relationship Managers

5 mins read
February 13, 2019
By
Total Expert

Technology can empower your salespeople to do a lot of things, but another canned email won’t build a roster of referral partners that will help them scale their business.

That’s because people – whether consumer or partner – are tired of being treated like a number. According to Constellation Research, lack of content relevancy generates 83 percent lower response rates in the average marketing campaign.

Most technology solutions focus on the transactional nature of the sales role. Take information, deliver content, make offers, do business. Done. At Alerus Financial, it’s my pleasure to work with some of the best salespeople I’ve ever known. My goal is to give them the tools and technology to enhance the great work they’re already doing today.

So, in a world of shrinking budgets and margin compression, we’re not replacing salespeople with technology. We’re creating relationship mortgage bankers: a team of elite professionals who know how to connect with people in a genuine, human way that makes you want to talk to them again.

The following tips will help you and your team of relationship mortgage bankers build stronger, more meaningful relationships that keep customers coming back again and again.

The Art of Listening

Most people think selling is the same as talking, but top producing relationship mortgage bankers know the real key to sales success is listening. A study by Gong.io found that top closers talk just 43 percent of the time compared to the bottom 20 percent, who talk 66 percent of the time.

Whether they’re tired of paying rent, they need a bigger home or they want to downsize, your customers come to your relationship mortgage bankers with a problem. Your customers want someone to remove complexity and friction so they can solve their problem. Listening puts the customer experience and customer relationship at the center of sales.

And although listening can be surprisingly difficult, it paves the way for three things: understanding, engagement and reciprocity.
  1. Understanding: It stands to reason that your relationship mortgage bankers can’t provide a solution to a problem without first understanding the problem and barriers to success.
  2. Engagement: Listening helps build rapport and create trust, so that a prospect is more likely to turn to your relationship mortgage bankers to solve their problem.
  3. Reciprocity: When people feel heard – valued – they’re more likely to take the time to listen to what the other party has to say.

So, listen and you will learn earn.

Face-to-Face Interactions

Although modern relationship mortgage bankers use a variety of technologies and solutions to streamline the sales process, it’s important not to discount the effectiveness of face-to-face encounters.

A whopping 93 percent of communication effectiveness determined by non-verbal cues. It’s easy, of course, to misinterpret a text or an email. However, a lack of in-person communication also means less accountability. Prospects and customers also often disengage when the conciseness of texts and emails replace the sound arguments and reasoning that arise during more in-depth dialog.

So, while technology solutions can complement the networking needs of your relationship mortgage bankers, face-to-face interactions are both healthy and necessary.

Personalized Communications

Much of this article has focused on the elements of managing burgeoning relationships: making a good first impression and showing you not only care but can actually help.

One of the biggest mistakes your organization can make is to have your relationship mortgage bankers take the time and effort to forge a personal relationship, only to nurture it with a generic, one-size-fits-all follow-up campaign. Lenders are uniquely positioned to deliver the type of hyper-personalized communications consumers crave thanks to the type and sheer volume of data they collect.

Turn the data you have into insights and tailor communications so that partners, prospects and customers alike continue to feel like valued individuals who can make better, more informed decisions. You’ll position your relationship mortgage bankers as strategic partners and trusted advisors and win customers for life.

Knowing When – And How – to Leverage Technology

What’s the ultimate goal of our relationship mortgage bankers at Alerus? To provide our current and future customers with deeply personalized, frictionless experiences that help them make sense of complex financial transactions and keep them coming back over the course of their financial lifetime.

To do that, we equip our relationship mortgage bankers with powerful technology solutions. Technology, when combined with a highly skilled and knowledgeable mortgage banker, creates the ultimate experience. After all, we are dealing with our customers’ largest investment decisions.

They deserve to have strong technology with a human touch.

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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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