In a recent Fresh Takes episode, Total Expert’s Chief Customer Officer Sue Woodard spoke with Brittany Hodak, the Chief Experience Officer at Experience.com.
Their focus: how companies can master customer experience when customer expectations are higher than ever. Read on for three helpful insights from their conversation.
1. Customer Experience Happens in Real Time
The legacy approach to customer experience involves sending monthly surveys, getting maybe a 4% response rate, and reviewing findings in the quarterly meeting.
That approach doesn’t work. By the time you see the data, it’s too late to change anyone’s experience.
Even worse, when you wait too long to survey customers, they’re only likely to remember experiences that were exceptionally good or bad. Your data ends up illustrating only the extreme ends of your customer experience.
The solution: Ask people in real time about specific parts of their experience. For example, don’t wait until a customer has closed a loan to ask about their experience. Reach out when they submit an application, when they upload docs to the portal, when they speak to a loan officer for the first time. Get information mid-stream so you can fix anything that’s going wrong.
2. Today’s Customers Expect More Than Ever (and Aren’t Afraid to Switch Brands)
The stakes are high right now. People’s lives were upended by the pandemic. One outcome a lot of companies are seeing is that customers are more open to trying new brands and more likely to switch brands if they’re not happy.
In other words, customers want to be treated like the valuable asset they are.
Again, gathering and acting on real-time information makes it possible to do this.
Think of Uber: customers are asked to rate drivers as soon as they leave the car. To boost their ratings, drivers offer water, candy, phone chargers. They ask about the music and the temperature.
And because drivers also rate customers, everyone has skin in the game. Everyone is invested in treating each other well because it will affect their future ability to get rides or fares.
3. Customer Experience Starts with Employee Experience
You can’t improve customer experience unless you start with employee experience.
Think about it: if that hotel employee can’t switch a guest’s room without manager intervention, the process will be full of headaches and delays. If Uber drivers didn’t have the power to call out bad customer behavior, they might stop driving.
For great CX, you have to get buy-in from people on the front lines of customer interaction and empower them with the tools and authority to take care of customers. You have to create a positive CX culture so customers know they can trust your entire brand.
Today’s Takeaway: Follow the Platinum Rule
The platinum rule isn’t new, but it’s the linchpin of customer experience: don’t treat people as you want to be treated, treat them as they want to be treated.
Discover how they want to be treated by asking. In real time. And then respond. Do that with every customer throughout their interaction with your brand, and you’ll have the tools you need to create the kind of customer experience that keeps people around for life. For the full conversation, check out the full episode.
Adding more people to your call center won’t drive the kind of growth you’re seeking. And neither will bolting an out-of-the-box AI onto your existing workflows. That’s the mindset behind becoming a “10x lender,” and the idea that our Founder & CEO Joe Welu unpacked in a recent conversation with HousingWire’s Allison LaForgia.
That shift isn’t incremental. In this new, AI-enabled age, lenders have a real opportunity to do more than simply iterate on processes that have been in place for decades—they can reimagine the entire engine that’s powering their businesses. AI assistants can text, call, schedule meetings, and share information with tens of thousands of borrowers at once. Pair that scalability with the contextual data Total Expert already holds, and your outreach becomes hyper personal, always relevant, and perfectly synchronized with your customer’s financial journey.
For loan officers, that means less time clicking through screens and more time building relationships and educating consumers. This shift isn’t about automating away the work; it’s about elevating your teams’ ability to execute on every possible opportunity.
Most lenders approach AI the way they've approached every technology upgrade for the last two decades: find the part of the process that's slow and make it faster. Total Expert Founder and CEO Joe Welu says that mindset, while understandable, is holding the industry back from the outcomes AI actually makes possible.
In a recent conversation with HousingWire, Joe unpacked the mindset shift he's been sharing with lenders all year: stop optimizing the old process and start reimagining it from a blank canvas.
The problem with doing the same thing “faster"
For years, lending organizations have measured technology's value by a simple test: did it get people to log in and complete a task? New dashboards, new buttons, and new workflows all designed to change human behavior just enough to extract a little more efficiency from the same process.
The catch, Welu explains, is that this approach caps out at the limits of human behavior itself. A loan officer forgets to follow up. A call center rep runs out of time in the day. A relationship goes quiet not because anyone did anything wrong, but because relying on people to be perfect and predictable was never a sustainable strategy to begin with.
What breaks when the old ceiling stays in place
Joe used an analogy at the 2026 HousingWire AI Summit to capture the stakes: a farmer who just got a bigger, faster horse looks to the neighbor’s field and watches them ride by on a tractor. Incremental improvements, like faster horses, were the best option for decades. That's not the case anymore.
The risk isn't hypothetical. We still see lenders asking AI to slightly improve an existing workflow, rather than asking what their workflow should look like with AI built in from the start. And the lenders who are still chasing incremental improvements will find themselves outpaced by competitors who were willing to embrace a new mindset, a new strategy, and new era.
Joe also highlighted that speed and speed alone will not set you apart. Context will be the critical differentiator in an AI-enabled world. Being the first one to engage a borrower is great, but only if you actually have something to talk about. Historically, a legacy database only knew what a person remembered to type into it. If that information wasn't captured, the system, and the loan officer, wouldn't be able to use it for the next conversation.
Context is king, and the mindset shift that gets you there
This is where Joe took the conversation from diagnosis to direction. Total Expert's Customer IQ continuously aggregates zero-, first-, and third-party data to create a complete financial profile and interaction history for every customer. This provides lending teams with the context they need at the exact moment it matters, whether that's to a loan officer having a conversation or an AI agent handling a task automatically.
To put things in a perspective that everyone can understand, Joe drew a comparison to how streaming platforms already personalize recommendations based on what the user has watched or listened to previously—i.e., context. When that context is missing, it's obvious and often frustrating. He argues borrowers feel that same disconnect when their lender's outreach doesn't reflect where they actually are in their financial journey.
This level of change doesn't happen without friction. There will be individuals, teams, and even entire organizations that resist this shift. But leaders have to be clear-eyed about the realities of how our industry is evolving and, more importantly, how consumer expectations are driving that evolution.
The reframe Joe’s pushing lenders toward is to stop measuring success by tasks completed, and start measuring it by the lifetime value of the customer relationship. He calls this “turning relationships into appreciating assets," where organizations never lose a customer and continually find new ways to add value to that relationship over time, rather than treating every interaction as a standalone transaction.
The takeaway
AI doesn't create value on its own. It creates value when it's grounded in real customer context, embedded in the actual workflow, and pointed at a bigger goal than getting a task done faster. For lenders willing to rethink the engine itself, Welu says the payoff isn't incremental. It's the same seismic shift that farmers experienced when they realized that even the slowest tractor was more efficient than the fastest horse.
The best leads aren't always new leads. In fact, they're hiding in the database every loan officer already has, waiting to be noticed.
That's the insight USA Mortgage discovered when they partnered with Total Expert to transform how their originators identify, nurture, and convert past customers into new opportunities. The result? ~$60 million in funded loan volume in just six months, plus another $175 million in pipeline.
But here's what's really interesting: the technology wasn't the bottleneck. It was the process.
The problem: leads disappearing in the middle
Walk into any mortgage lender, and you'll find the same story. Loan officers are smart, they work hard, and they have plenty of leads coming in from multiple sources: referral partners, purchased leads from Zillow and LendingTree, and their own past customers.
But somewhere between the lead arrival and the follow-up, opportunities vanish.
USA Mortgage's VP of Sales and Customer Experience, Alec Picinich, described the friction this way:
"We had strong loan officers and plenty of lead activity, but the handoff was the issue. There was no uniform system in place. Most producers had their own system—reminder-based inbox notifications, spreadsheets, personal call lists. The lack of centralization was the biggest issue. The gap was in the middle, where the opportunities kind of just disappeared."
All those disconnected systems led to inconsistent follow-up and limited visibility into what was working and what wasn't. And with no way to nurture borrowers who weren't quite ready today but might be ready next month, those opportunities got buried deeper and deeper under waves of new leads.
The result was predictable: lost deals, confused teams, and a corporate support function with limited ways to help scale best practices across the organization.
The Solution: one source of truth
Rather than layering on more tools, USA Mortgage decided to consolidate. They brought all their leads from referral partners, purchased sources, and past customers into a single unified platform: Total Expert's Lead Management.
But consolidation was just the first step toward preventing leads from slipping through the cracks. The real shift came when they connected three capabilities:
1. Customer IQ: identifying opportunities in your existing database
Most loan officers don't excel at proactively reaching out to past customers. They're focused on today's purchase business, and without a system to surface opportunities, past borrowers fade into the background.
Customer IQ changes that. It's a contextual data system that continuously monitors and enriches every contact record in your database. When a borrower experiences a life or market event that creates an opportunity such as a rate drop (refinance window), a credit inquiry from another lender, a debt threshold crossed, a marriage or divorce, Customer IQ spots it and brings it to your team’s attention.
At USA Mortgage, this meant monitoring 190,000 customers and turning insights into action. In just six months (January–June 2024), those customers generated:
~$60 million in funded volume
$175 million in application pipeline (with expected 80% funding conversion)
That's an opportunity that was already sitting there; it just needed to be seen.
2. Lead Management: centralized workflow and accountability
With Customer IQ surfacing opportunities, USA Mortgage needed a system where loan officers could manage those leads the same way they manage purchased or referral partner leads.
Lead Management provided:
A single source of truth for all leads (past customers, referral partners, purchased leads)
Clear visibility into lead stage and action items
Consistent routing based on originator or branch
Automated nurture campaigns for borrowers who weren't ready yet
Compliance controls to ensure messaging is consistent and compliant
Suddenly, loan officers could answer three simple questions about every opportunity: Who is the lead? What do they need? Why is the opportunity present right now?
That context—that "why"—changes everything. It's the difference between a cold check-in call and a conversation-ready outreach.
3. AI Sales Assistant: outreach on demand & at scale
Even with a unified system and better intelligence, loan officers still can't personally call every past customer when the market shifts. If rates drop and 1,000 borrowers become in-the-money for a refi, even the most efficient lending teams can't operationalize that in the two or three weeks when the market window is open.
Enter AI Sales Assistant, a human-like voice AI that’s powered by Customer IQ’s contextual data and trained on real-world mortgage conversations so it can answer questions, navigate borrower objections, and qualify opportunities.
AI Sales Assistant acts as an extension of lending teams by:
Initiating outreach to all qualified past customers (potentially in a single day)
Personalizing the conversation based on the borrower's situation, previous transaction, and estimated savings
Handling objections gracefully (Alec shared the story of a borrower who said "I'm feeling sick, not a good time.” AI Sales Assistant responded with empathy and offered to schedule with the loan officer later, which the borrower accepted)
Offering warm transfers to the loan officer for borrowers ready to talk
Scheduling meetings on the originator's calendar for qualified leads
This allows loan officers to focus their time on high-quality conversations with informed borrowers, not figuring out who to call or manually working through a database.
Real-world execution
One of USA Mortgage's senior regional VPs shared a success story that perfectly captures the shift:
An experienced loan officer received a credit inquiry alert for a past customer; someone she hadn't worked with in years. The borrower had lost the loan officer’s contact information. But thanks to the alert surfaced by Customer IQ, the loan officer reached out with context and relevance.
The result? A $400K pipeline boost with minimal effort from the loan officer.
This doesn't happen with a generic check-in call. It happens when the loan officer knows why they're calling and has the data to back it up so the outreach feels timely instead of transactional.
The bigger picture: human + AI operating model
What USA Mortgage discovered is that the future isn't human or AI. It's human + AI.
The loan officer remains the relationship owner and builder, the decision-maker, the one who earns trust. But now, they're equipped with:
Intelligence about who to engage and why
Automation handling the high-volume, time-sensitive outreach
Consistency across the entire organization
Tools that make their job easier, not harder
Three takeaways
If you're struggling with lead follow-up, originators working in silos, or deals slipping out the back door, here's what to focus on:
1. Strong lead management isn't just about speed—it's about long-term nurturing Speed matters for converting hot leads, but most conversions happen in the follow-up. Build a nurturing strategy that keeps borrowers engaged from first touch through the next opportunity to serve.
2. Your database is your biggest opportunity; operationalize it like a referral partner lead
If you're not connecting data intelligence with lead management, you're leaving deals on the table. Treat past-customer insights with the same urgency and structure as a purchased lead or referral partner referral.
3. Build an enterprise strategy with human + AI models
Replace ad-hoc originator habits (spreadsheets, personal reminders, disconnected systems) with a unified, AI-assisted operating model. Consistency across your sales force is what unlocks scale.
Watch the full conversation
Hear how USA Mortgage is using Total Expert to solve their lead management challenges, develop a better understanding of their customers, and engage opportunities at scale.
Ready to explore how a human + AI operating model could transform your originator productivity and customer conversions?
Reach out to your Total Expert Customer Success Manager or book a demo with our team below!
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