AI

How Conversational AI Is Transforming CX & Lead Capture in Financial Services

5 mins read
May 30, 2024
By
Mike Waterston

Meeting consumers where they are is becoming more critical, as is being ready to provide personalized, responsive service at the moments that matter. But one big challenge is that a human isn’t always available when a consumer reaches out to a financial services organization.  

Consumers often manage their financial needs in the evenings after they’re done with their own work. For example, roughly 50% of mortgage leads come in outside operating hours. The other issue is unpredictable volume: staff might be busy helping other customers and unable to take a new inquiry.  

But consumers often aren’t willing to wait. They judge the lack of prompt response as poor service and take their business elsewhere. Or, just as likely, they’re shopping around—and will go with the first business to respond to their needs.

This is where conversational AI tools have transformed the CX world. Forrester says 7 in 10 companies have invested in offering an AI chatbot—up from just 15% in 2018. Yet there’s a disconnect in terms of what consumers want from conversational AI—and what many of these AI tools actually deliver: Research shows consumers increasingly prefer AI chatbots to other digital channels of communication. However, half of consumers say their conversational AI experiences end in frustration.

Verse, a Total Expert Marketplace partner, is one innovative tech vendor pushing conversational AI ahead of consumer expectations. How? By bringing in the critical element of human expertise to complement the incredible capabilities of state-of-the-art AI. We sat down with Damien Swendsen, SVP of Revenue at Verse, to talk about how financial services organizations should be thinking about how conversational AI can directly solve some of their biggest pain points and drive measurable outcomes that align with some of their biggest strategic objectives.

When it comes to engaging and nurturing leads, what key challenges does Verse’s conversational AI solution solve?  

We believe that Verse represents the future of engaging and nurturing leads. It solves challenges with staffing, budget, and time—three big ones, I would say, for any company. Our platform solves for human time as well as human error with immediate lead response—at any time—plus, automated lead follow-up. So, your leads don’t have to wait for a response, no matter the time of day—and no lead is ever left behind. While a salesperson might give up after one or two calls, our AI nurtures leads for up to six months.

Verse ensures salespeople aren’t wasting their time. Our platform does the work that salespeople don’t want to do—engaging every lead, following up, and qualifying those leads. We hand your salespeople warm leads that want to talk.

This is important stuff. According to a lead response management study, data shows that leads are 21x more likely to convert if they are contacted within five minutes of filling out a form. Even after just an hour, the likelihood of successfully contacting a lead drops by 10x. People just aren’t willing to wait: We also know that 50% of leads will choose the organization that contacts them first. So, Verse enables companies not only to save time and money but win more deals and generate more revenue.

We also continue to nurture leads that aren’t ready to buy. Studies also show that nurtured leads make purchases 47% larger than non-nurtured leads.

Do any specific shifts in the market create new challenges for conversational AI?  

We all know about the regulations around calling or spamming people and how there are laws to curtail those practices. Now, we’re seeing both the government and private companies like Google and Yahoo increase communication regulations.  

In February, they started enforcing new rules around emailing customers who use their email accounts. Thresholds of 0.3% for spam rates, authentication barriers, and easy opt-outs are forcing senders to be more diligent around their communication, and those same companies are now looking for other compliant ways to engage with their prospects and customers. Many are looking to the most effective form of communication today—texting—as a possible solution.

Verse provides a solution that capitalizes on the power of texting and solves the compliance problem. Our expert team handles compliance for our customers, allowing them to communicate with customers according to their preferences without worry.

Why are Total Expert and Verse partnering?  

First, we wanted to partner with an industry leader who knows and understands the nuances and intricacies of our customers’ challenges. It’s hard to find a partner who simply “gets it” from the start.

Our solutions are so perfectly complementary. The Total Expert platform helps companies manage customer engagement holistically, and the Verse solution brings together a whole new way of engagement, which is a turnkey, AI + human texting solution. Integrating Verse into the Total Expert platform will carry engagement even further than we could separately.

What differentiates the Verse solution from others in the market? Where do the do-it-yourself SMS setups fall short? What are the implications for the organization?  

One of Verse’s biggest differentiators is the compliance suite. Texting is the number one channel for customer communication, preferred by 90% of customers. But businesses don’t do it. Why? Because of compliance. It’s too complicated to solve for yourself.

The stakes are high: non-compliance can lead to lawsuits in the tens of millions of dollars, not to mention the trust lost with customers.

Verse puts our expert compliance team on your side. We ensure and enable compliance for all of our customers, conducting manual reviews and audits, setting up your A2P registration, obtaining your Trust Score from TCR, and ensuring you have caller ID so your calls never show up as spam.  

In addition, we monitor your deliverability and opt-out rates. Many companies struggle to see their deliverability rates, but we can, and we’ll let you know. Our end goal is to enable customer success, so we guide our customers—not just on how to be compliant but also on how to be effective.

How does the Verse integration solve for common gaps seen with other solutions like DIY setups?

The Verse platform is a fully managed solution. We handle the integration for you. That’s very different than most other solutions, which may not be fully managed and can take months upon months to integrate properly. Our team ensures that integration is easy, quick, and compliant.  

Again, compliance is very risky to tackle yourself with a DIY setup. I’ll tell you right now: There are more bases to cover with compliance than you think. With Verse, compliance is built in and monitored by experts.

Lastly, we integrate with Total Expert, so you can see Verse’s full reporting and real-time analytics right from your CRM.

What success stories can you share around ROI—and how Verse helps with risk mitigation and operational inefficiencies?  

The average Verse customer sees a 16x ROI. As for a recent customer story, we helped Acra Lending boost their response rates by 133% with 24/7 lead coverage and instant text engagement.

One of the main operational inefficiencies that our platform combats is saving time for salespeople. Human capital is a valuable resource, but sales teams often spend too much time chasing unqualified leads. Verse solves that problem by qualifying leads for sales. Plus, we take action quickly. When there aren’t enough salespeople to contact leads quickly, our AI is there to respond immediately. This has limitless potential for ROI.

Verse’s compliance suite is a game-changer in terms of risk mitigation. Companies that don’t know what they’re doing with compliance are risking millions of dollars and consumer trust. Those are risks you don’t want to take.

How do I learn more about Verse and their partnership with Total Expert?

You can learn more about the Verse integration here.

And you can explore the full range of best-in-class vendor partners in the Total Expert Marketplace.

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[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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