Customer Engagement

Instant Gratification: The Danger to Long-term Success

5 mins read
October 30, 2017
By
Total Expert

Now that the term “digital mortgage” has made it into public vernacular, companies and mortgage loan officers must have a digital presence. There are massive amounts of gadgetry, software and systems designed to make you visible and available online.  

At today’s rate of innovation, companies are regularly faced with the challenge of choosing and implementing new systems of varying magnitudes – from a CRM to email marketing, APIs and mobile apps. As a result, many companies and services are vying for a chunk of enterprise and individual producer dollars, creating chatter in the ranks and demand among salespeople, causing a widespread tendency to be seduced by the “shiny object syndrome.” This lack of uniform digital strategy presents a danger to brand integrity and overall quality in addition to potential exposure to compliance violations.  

The smart way to go about choosing and making a commitment to a new system today is to be purposeful about laying out a vision and a plan that considers where the industry and consumer preferences are going beyond your goals, conditions and challenges today. Instant gratification abounds in today’s internet-driven climate, but it can defeat lasting success.

Avoid the Shiny Object Syndrome

When companies are growing, they’re often moving so fast that they get distracted by many different ideas. It’s important to do your homework to best position yourself and your team or company for success – not doing so can get very expensive, very quickly. Systems that manage compliance in marketing are a common need in the industry and all mortgage companies need to ask themselves the following questions:    

  • Do you have a single system of record to add efficiency and track marketing and sales materials from a compliance perspective?  
  • How efficiently are you getting new marketing assets or campaigns rolled out to your salespeople?
  • Are you getting the desired results from your marketing?  

Your answers to those questions will help you uncover weaknesses in your current system(s) and help you craft more specific questions for suppliers you are considering. Regardless of the type of system you need, the following are important considerations when shopping for technology:  

  • Is the product and the company making it going to be around for a while? They may be hot right now, but where are they going in the next 6-12 months?  
  • Will this supplier be able to scale with me?
  • Will they integrate with requirements we need to function?  
  • Is this potential partner aligned with my business philosophy?  
  • Is this vendor partner committed to my definition of success?  
  • What does the roadmap to implementation look like?  

If you’re not asking these questions at the outset, you could find yourself saddled with siloed technologies that don’t work with other products within your company – the data can’t talk to each other, and you lose functionality and efficiency.  

Your choice of technology partners affects salespeople, so due diligence can help you avoid poor employee experience and morale challenges. It’s important to attract and keep driven salespeople, but companies can’t be drawn into their instant gratification culture characterized by the ongoing attraction to the “latest and greatest.”  

Salespeople have short attention spans but long memories for things that hinder them: Once a salesperson has a bad experience with a piece of technology, it is very difficult to convince him/her that the experience will be different next time.  

Survive and Thrive in the Digital Mortgage Ecosystem  

Set and solidify a long-term vision and commit the resources to execute it. The technology ecosystem surrounding the mortgage industry is starting to mature and companies must evolve with it, in addition to choosing the right external partners.  

Most mortgage companies invest in people to manage marketing and sales processes, but they don’t have the internal technology expertise to properly vet and understand new systems and products. It’s imperative to have actual technical experts on the payroll, because your organization and its growth plan is in jeopardy without these people on board.  

Companies that are winning are investing in great partners, great technology products and hiring people internally that understand the ecosystem and how to help your organization maximize your systems and their benefits. Lasting success requires a clear vision, long-term thinking and due diligence. Choose your products and partners carefully and then commit to them 100%.

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AI

[Daily Mortgage News Podcast] Joe Welu Talks Agentic AI in the Mortgage Industry

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Total Expert Founder & CEO Joe Welu recently joined Robbie Chrisman for an episode of the Daily Mortgage News podcast where they discussed the current (and future) state of the mortgage industry, challenges facing lenders and loan officers, and the solutions that AI-enabled tools can provide in difficult markets.

Agentic AI is reshaping loan officer productivity and customer engagement. With Total Expert’s new AI Sales Assistant, lenders can automate lead incubation and qualification—achieving human-like conversion rates in weeks, not months. Joe also highlights the power of voice AI to revive aged leads, trigger refinance opportunities, and prevent deals from falling through the cracks, all without the need for massive call centers and without removing loan officers’ ability to build authentic human connections with borrowers and homeowners.

That’s because AI-enabled tools are designed to reduce the administrative and repetitive tasks that take you away from what you do best: advising customers and guiding them toward the best possible financial outcomes. Joe also shares insights on selecting AI partners wisely, managing data responsibly, and capitalizing on both front- and back-office efficiencies. As the AI arms race heats up, Total Expert aims to empower originators—not replace them.

Joe and Robbie's discussion begins at the 4:55 mark.

AI

The Loan Officer’s New Co-Worker: Total Expert’s AI

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*This article was reposted from HousingWire.com*

In this exclusive interview, Joe Welu, Founder & CEO of Total Expert, shares the company’s latest advances in AI. He focuses on lessons learned from their pilot program and explores how AI is delivering a measurable lift in operational efficiency and lead conversions across lending teams.

Beyond internal improvements, Joe reveals Total Experts’ focus on the borrower experience and how their technology is designed to supercharge loan officers, not replace them. Joe shares with Allison LaForgia his forward-looking perspective on the innovations expected in the near future that will continue to drive Total Expert’s leadership in mortgage technology.

“We anticipated… it would probably take maybe nine months to a year to be able to get to parity with a human… and we’re blown away. It happened within two weeks,” Welu said. The voice AI agent, designed to qualify leads through inbound and outbound calls, is now handling more than 2 million calls a month, with multiple lenders, in various stages of scaling.

Welu attributes the rapid progress to the unprecedented pace of innovation in AI. “It’s like nothing anyone’s ever seen before… there’s hundreds of billions, if not soon trillions, being invested in infrastructure and large language models… we get the opportunity to build on top of those capabilities and reimagine what we can do in our industry.”

The pilot program, he said, was rooted in an iterative approach with tight feedback loops. “As we learn… it gives us information, and we make adjustments… A key thing we’ve learned with AI projects… get really super clear about what it is in the business that you are improving. Give them that target… so it’s not this ambiguous sort of black box.”

The results have been measurable: “We are seeing, in some cases, 10 to 20% better conversions,” Welu said. AI’s consistency is a major factor. “It always remembers to call people back… never calls in sick… works weekends… It allows you to take your great people and… have them doing the most highly productive work possible.”

Borrower experience is also improving. “One of the pleasant surprises… is the quality of the experience to the end consumer,” he said. Whether or not lenders disclose that a caller is AI, “the quality of the interaction is so high, they continue down the path.” The AI agent maintains “the right tone… the ability to match… the tempo of the conversation” while instantly tapping into contextual customer data.

Welu emphasized that Total Expert’s AI is designed to “supercharge,” not replace, loan officers. “There are still moments where consumers want high quality advice… Our goal is to take a loan officer and put them in a position where they are spending… the majority of their time having the highest quality conversations… and abstracting away things that don’t add value.”

Looking ahead, Total Expert’s roadmap focuses on intentional, scalable AI. “We think about getting super clear on… use cases, and partnering with people that are going to be as obsessive as you are, about making it great,” Welu said. Over the next year, customers can expect new capabilities in customer intelligence, lead management, and additional AI-driven use cases. “Seeing it all come together is what gets me up and excited every day.”

AI

AI Revolution: From “Discovering Fire” to Real Business Outcomes

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By: Joe Welu, Total Expert Founder & CEO

Best Practices for Executive Teams Deploying AI in Financial Services

The AI revolution feels like humanity just discovered fire—and everyone is racing to see what they can ignite.

That means a rush of AI pilots and proofs-of-concept across all industries, many of which launched without evaluating each use case against actual business value.

As I meet with CEOs and executive teams from leading mortgage lenders and financial institutions, the conversation has shifted from “What can AI do?” to “How do we deploy AI responsibly, at speed, and with measurable impact?”

The market leaders I work with are outpacing competitors by following a remarkably consistent playbook. They’re not just testing AI, they’re embedding it across their organizations with purpose, speed, and discipline.

Below, I’ve distilled the best practices I’ve observed from the institutions getting the most from AI today.

Anchor AI strategy to business outcomes

Tie every AI initiative to a clear business priority—whether it’s loan growth, customer retention, or operational efficiency.

Define KPIs, ROI targets, and adoption metrics before a project begins. No project should exist without a measurable path to value.

Start with high-impact, low-friction wins

Focus first on areas where a proof of concept or pilot is feasible within 30-60 days. Conversational and Voice AI solutions provide many options for pilot use cases. Other common use cases involve document classification, predictive churn modeling, or intelligent lead scoring. These early wins build momentum, prove ROI, and prepare teams for more complex deployments.

Invest in data quality and governance early

AI is only as good as the data feeding it.

Start by creating a single source of truth for customer and loan data. Then, anticipate obstacles to deploying AI with your data, such as consumer consent and preference management, and start addressing these things ASAP. Investing in tools like Customer Intelligence will help enrich your data and increase its value.  

Embed compliance and risk management from day one

Regulations such the Gramm-Leach-Bliley Act (GLBA), TCPA (Telephone Consumer Protection Act), and UDAP (Unfair, Deceptive, or Abusive Acts or Practices) will be a few key areas where regulators dig in and look for companies cutting corners.

Create a cross-functional AI task force

Bring together leaders from product, compliance, data science, operations, and customer experience. Avoid siloed pilots—alignment ensures every initiative supports the broader business strategy. Include change management expertise to drive adoption, not just deployment.

Prioritize customer experience and trust

Every organization has gaps in their customer journey and can benefit from leveraging AI to provide human-like touch points throughout the experience. Use AI to remove friction, improve transparency, and deliver personalization at scale. Keep humans informed about high-stakes decisions and be transparent with customers about how AI is used and how their data is protected.

Build for integration, not isolation

Select AI solutions that integrate seamlessly with your CRM, LOS, core banking systems, and data lakes. Use APIs and modular architectures to avoid “AI silos” that slow scale and ROI.

Focus on talent and change management

Embracing AI with a growth mindset should be table stakes. Incentivize adoption so teams see AI as an enabler—not a threat to their roles. Upskill executives and frontline teams in AI literacy. When needed, recruit or partner for deep ML and data science expertise.

Measure, monitor, and iterate

AI is not a one-and-done project—it’s a living product. Track performance, user adoption, and ROI continuously, and refine models quarterly to maintain accuracy and relevance.

Choose the right tech partners: favor vertical specialists

Partner with vendors who understand financial services—especially your unique customer journeys or workflows. Deep domain understanding on core systems, database schemas, compliance, and other nuances will be a key factor in the results you achieve.

Benefits of vertical-focused partners:

  • Deep understand of unique data sets and customer profiles
  • Faster implementation with industry-specific models
  • Built-in regulatory and risk controls
  • Product roadmaps aligned to lending and banking trends

Horizontal AI tools have their place, but without deep domain expertise, they often require heavy internal customization and a slower time to value.

The future is here

AI today is not the same as the project in 2018 that failed to deliver those operational efficiencies in the back office everyone was promised. Its potential to transform nearly every part of our businesses is becoming increasingly clear. Every day you delay, competitors are building up their capabilities and you will struggle to catch up. As one of my investors put it bluntly, “Every day you fail to execute a comprehensive AI strategy, the value of your business goes down.”  

To learn more about how Total Expert is working with our customers on high-impact AI initiatives, please reach out to our team.  

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