Accelerate

Accelerate 2022: Taking a Human-First Approach To Customer Success

5 mins read
July 12, 2022

Recently, more than 300 Total Expert customers, partners, and industry allies gathered in Nashville for Accelerate 2022 – three inspiring days of innovation, learning, and networking. Kicking off the events was Total Expert Founder and CEO Joe Welu, addressing current market conditions and the challenges and opportunities they bring for mortgage and banking professionals.

While volatility – in the form of rising interest rates, global conflict, and ongoing social unrest – can lead to uncertainty, Joe stressed that attendees should focus on what we know.

“Homeownership in America – no one is betting against that long term,” Joe said, adding that becoming a trusted financial partner is more important than ever during challenging times. “Customers are looking to your organization for stability, advice, and knowledge.”

“Your customer relationship is only as good as the quality of your communication and engagement,” Joe said. This, he added, is ultimately going to lead to how those people feel about doing business with an organization.

Calling them the ultimate trusted financial partner framework, Joe pointed to three things that lenders must do at all times to maintain a healthy customer relationship: Educate, engage, and advise.

  • Educate – Lenders and brokers can no longer simply send out a piece of marketing collateral and expect a lead to roll in. Today, the industry needs to help people understand interest rates and their impact on purchasing property. Leading with education, Joe said, builds an incredible level of trust. And at a time when broad trust in financial services has never been lower, this can make a lender stand out from the pack.
  • Engage – Engagement for engagement’s sake is just spam. The key to successful customer engagement is timing – the right piece of information, to the right prospect, at the right time, on the right channel. Lenders and brokers need to understand what is happening with the customer beyond the potential financial transaction. As an industry, Joe said, we need to be empathetic and understand the context of our engagements.
  • Advise – This step is the key differentiator for successful mortgage professionals. Many of the products and services that lenders sell and deliver are commodities in many ways, so it’s paramount to set up your organization with a mindset of helping people make smart financial decisions. In the moment when it matters, technology can help you do this.

Working within this framework, Joe said the next important thing is to understand your customer’s journey – if you want to improve and see some quick wins, this is the place. And what does a “perfect” customer journey look like? While it should be driven by data and technology, it needs to focus on the human, rather than the transaction, first. “Leading with the human and where they are in their lifelong financial journey, you can build education for each individual,” Joe said.

Consumer behavior and expectations have changed dramatically over the past few years. Today, no one wants to “be marketed to.” So, lenders and brokers need to think about marketing and sales differently than they traditionally have.

“You have dashboards, analytics, and fancy technology that can tell you all about the business,” Joe said. “But to impact the customer journey, you need to get insight into how the advisor interacts and engages with the customer. Organizations that crush it are those that think about ‘how can I drive more value for my customers using data and insights?’.”

Perhaps most importantly, lenders and brokers need to understand that the customer profile at the center of their human-first approach is simply a snapshot in time. “A lot can change in six to nine months in terms of a person’s financial situation,” Joe said.

Learn more about Accelerate 2022 and meet this year’s Expy Award winners.

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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.

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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