Technology

Expert Insights: Is FinTech Softening? The State of the Financial Services Market in 2022 with Jason Henrichs

5 mins read
July 6, 2022
By
Total Expert

Jason Henrichs of Alloy Labs talks with Expert Insights host Joe Welu about the state of fintech in 2022. Alloy Labs interacts with many banks that are in the middle stages of digital transformation, and Jason outlines opportunities for the future of banking institutions growing to fit the modern needs of customers.—

Is Fintech Softening? With Jason Henrichs

Here’s another episode of the show where we get together to talk about leadership and innovation in modern banking and lending. In this episode, I am joined by a very bright and brilliant guy, Jason Henrichs, Founder and CEO of Alloy Labs. Jason is recognized across banking and FinTech as an innovator across financial services, creating new business models, and using technology to drive change. He has experience as a Founder, venture capitalist, great enterprise executive, board member, trusted advisor, and startup mentor. He co-hosts a great podcast, Breaking Banks, the number one global FinTech radio show and podcast, as well as his own podcast, Fintech 5, on Provoke.fm. Jason, it’s good to be with you again. How are you doing? I am good. I was jealous of the episode of Breaking Banks that you and JP did. It sounded phenomenal. I was bummed it didn’t get to be me talking to my buddy, Joe. It was a good time. I appreciate the opportunity. I want to get right into it and talk about a topic I’m hearing a lot about, and maybe you are as well. Is FinTech softening? What’s happening? Markets are getting clobbered in some cases. What’s your take? The question is such a timely one because there are a bunch of macro trends that we don’t have to go into with inflationary fears, the threat of nuclear wars causing turbulence, and the broader markets. I don’t think this is a trickle-down effect. It maybe amplifies it. Part of what we’re seeing is that there was a bit of a Ponzi scheme in funding. Whereas, how fast can I raise and raise more in this idea of bubbling valuations pulled the next round behind it like, “I need to raise in a bigger round and at a higher price in a unicorn status.” There’s so much capital sitting on the sidelines funneling the whole thing that even the insiders were willing to prop up valuations. What we’re seeing now is the a-ha moment of, “I actually have to solve undifferentiated problems.” The one you can pick on is if you look at the neobanks. There’s a neobank for everything, like the neobank for people who use their left hand when it’s a full moon. Is that a need that’s actionable? On the flip side, it’s easy for banks to point out and go, “This is why this whole FinTech thing was overblown is because we focus on cost-cutting measures.” You can’t cost-cut your way to success. What we’re going to find in between is a happy medium. The FinTechs are under pressure to rethink, “How do I deliver value?” Banks are challenged to figure out, “What do I do that is unique?” That’s where we’re going to see the goodness happen. In some sense, I’m disappointed. Dan O’Malley and I cofounded Perkstreet back in 2008. Shamir Karkal was one of the cofounders of Simple, and I talked about this. We’re a couple of years later, and it’s frankly pretty disappointing. Neobanks can get you your paycheck two days earlier. That’s it? That’s what you guys came up with? When the banks are challenged to figure out what they can do that is unique, that's where we're going to see the goodness happen.You’re not far off in some cases. That’s a big hook. That’s one of the things these guys are betting a lot of capital on that they’re going to be able to build a lasting business on that differentiation. Under pressure, to build on that, this is where the super exciting things happen. On our investment side, we’re looking at several deals now that fundamentally rethink the business model and the value proposition on both sides, both as a supplier and as the consumer of their products, in ways that are just much more fundamental. When you’re in this race to the top, it’s about eyeballs in the first boom-bust. It’s all about growth in a higher valuation. You don’t necessarily focus on those hard things. You focus on the easy things that feel like low-hanging fruit, but they turn out to be vanity metrics. You’re not really focusing on, “How do I go out and build sustaining relationships with these customers that are profitable?” They’re going out and acquiring a bunch of consumers that may or may not be able to drive a lot of profitability long-term. What you’re saying is, when things come under pressure, now you’re going to see where value and differentiation are going to happen. Is that what you’re saying? If you look at some banks, let me scoff at Chime and say I want their low-value customers, except Chime has gone out and rethought how they acquire customers, so they’re not paying the cost that a bank is, and they’ve thought about how they deliver on that. Under the covers, it’s a good relationship. It’s just not one the bank is prepared to support because the banks and credit unions oftentimes are stuck in, “This is what we do and how we do it,” without rethinking, “What do I do? For whom that’s unique that they’re willing to pay me a premium or they’re stickier?” That is not a long-term strategy. That makes total sense. You’re an interesting guy to talk to because you are at ground zero for a lot of innovation. You’re investing in FinTechs. Through Alloy Labs, you get a chance to interact with a lot of banks that are in the middle of various stages of digital transformation. You see both sides of it. I would love to hear a little about how the banking world we’re a part of and the conversations that we end up happening is the whole digital transformation theme. We see a lot of organizations getting to the backside of some of those projects and saying, “What did we get? What did we improve?” Do you see that? Is it showing up more? We’ve been seeing it from savvy organizations for a longer time. I’ll tell this vignette. This was several years ago, but it’s just as true. I had taken a red-eye from Boston to Seattle to meet with a relatively large bank out there. The CEO was like, “We tried innovation once, and it didn’t work.” I was like, “Why did you just fly me across the country?” If that’s the case, I’m like, “As long as I’m here, I might as well ask a bunch of questions. What did you try?” “We tried CRM.” I’m like, “What did you try with CRM?” I won’t name the name. It was not Total Expert. I’m like, “That’s interesting.” When they said it didn’t work, I thought, “Did they go for some startup? Did they try and build it themselves?” which you shouldn’t do. I’m like, “What isn’t working about it?” They’re like, “We’re not seeing any value.” I’m like, “What are you doing with it?” “We implemented this vendor.” You didn’t do anything different. You digitized a poor process, so now you’re doing bad things faster. Good for you. In some cases, bad behavior. They already have customer-facing people that don’t have great habits anyway. Now you’re just going to track those poor habits. It had gotten so bad that the executive sponsor who’s under fire who said, “We need CRM,” went and threatened everyone that if they weren’t uploading all of their contacts and their activities by Friday at 5:00, they’d be fired. I don’t know if this is just myth or lore around it, but he even turned to one of their biggest producers and was like, “Even you could be fired.” Basically, all businesses stopped at noon on Fridays for people to take their paper processes and upload them into something that no one else was doing. Part of the challenge is we need to rethink the model. Data and analytics are the most powerful tools that a lot of FinTechs use. Incumbent financial institutions, we’re used to locking that up. It’s like, “It’s valuable. We must keep it safe. We don’t use it for anything.” There’s a creepy extreme you can go to with this, but banks will say all the time that their unique competitive advantage is their relationship with their customers. This is mistaking personable with being personalized. When we lived in Chicago, Lola, who was asleep under the desk, knew every Chase branch within a two-mile radius because they all had dog bones. I hope Lola’s the dog and not your daughter. It’s the dog. My daughter can tell you which banks have candy. A five-year-old is well aware of that. Every time we walked in, they would always offer me a loan. How many times have I said no to the loan? Here’s what I want. I want offers that matter to me. I want you to use my data and tell me about a product or a service or something I could do that’s going to add value to my life. That’s how you personalize something for me and build my relationships. I like to pick on Amex. They do a phenomenal job in most things. When I get my, “We pick these offers just for you” email, the only reason I open it is so that I can get a good laugh of, “This is what you think I’m interested in?” What transactions are you looking at that you think this is what I want?

Fintech: People want offers that matter to them. They want their data to be used to tell them about a product, service, or something they could do that will add value to their life.

I’m a fan of all things marketing and customer engagement when it comes to financial services. I always look at those things, too. It is interesting. You touched on something that I want to drill in on a little bit. That is data and analytics. The FinTechs do a great job at using that. Correct me if I’m misquoting you. The banks have typically been doing a lot of that stuff, particularly some of the larger institutions. It’s been this secretive private thing where they keep all of the analytics and data in one place and don’t necessarily drill that into the business processes where somebody is actually taking care of a customer that, if they have that insight, could have a different conversation.

We need to free the data, which means you need to be able to pull it out of silos and, more importantly, get it clean into the hands of people and then train the people. This is as much a cultural issue. One of our members at Alloy Labs, the head of analytics and I were having this conversation. Their chief banking officer kept asking for these reports.

He was like, “What are you looking for?” She’s like, “The CEO says we need to be more data-driven.” He goes, “One, you don’t understand what data and analytics really are. This is not an old-school management information system. Let me give you some dot matrix, green and white striped paper. You got to tell me what you’re looking for. What kind of insight? Let me go test something.” Just generating reports doesn’t tell you what to do.

There are two approaches to this. There is the discovery phase, which is probably a little complex for a lot of banks to jump straight to, but into that discovery, let me go through some machine learning against the dataset, see what clusters, and then investigate what falls out of it. I don’t know what I’m searching for or if I’ll even find anything. That’s probably a bridge too far for a lot of the banks reading to start.

There’s also this confirmatory hypothesis testing. You need to get in the customer’s head here. What would make their life better in this data? Then let me go set up a test so that I can go do this. This is one of the things that is so valuable in a platform like Total Expert. You come with a whole bunch of user journeys out of the box, but your ability to manipulate and create new user journeys is to test, continually optimize, and look at what data falls out of the bottom. I know this is how groups of the Alloy Labs members that are Total Expert customers use it. If I do it this way, is that better or worse in performance than what I saw elsewhere?

You need a platform. You can’t afford to build your own. You can’t use something hardwired because the cost of experimentation needs to be dropped. Otherwise, you need to do this big ROI. It’s a big lift, it needs to integrate into my core, and it’s going to take us six months to implement. That’s too expensive. You’re only going to do something that’s safe.

I had a conversation with one of our large bank customers, and they’re using us for part of the business and not another part of the business. It was around that speed to market and speed to be able to iterate in testing a different communication, different journey essentially. I won’t name the vendor, but they have 4 or 5 dedicated developers. Every time they want to do something, they got to put it into a queue and bring on developers. By the time they can iterate and get feedback in the form of what happened, it’s 4, 5, 6 months down the road, and we’re just like, “The pace of progress is important for you guys right now.” At least, that’s how we think about it. You agree, I’m assuming.

A big part of this is there’s got to be a cultural change. That cultural change has to be modifying what we did is not bad that is positive because the likelihood that you hit the hole-in-one right out of the gate is so low. If you don’t go back and continue to modify and optimize, you’re squandering a huge opportunity for a sunk cost. The incremental cost of continuing to test and learn and optimize is low. That’s not an admission of failure. That’s a growth mindset of, “We’re going to do some stuff. We’re going to figure it out. It didn’t work as well as what we were doing, so let’s revert back to what we were doing.”

Do you think there are a lot of banks and credit unions that struggle organizationally to have a true growth mindset when it comes to evolving?

There’s a reason I still get to give that talk both on stage and with bank boards and management teams. I can tell things are lightening up. I’ve done it three times in a month, including at one of the big banking schools. I spent an entire day talking about how we teach bankers to have a growth mindset. The biggest challenge is, if you look at our business around lending, it is not about managing risk so much as we’ve gotten into this world where we try and eliminate risk. Not often do you point to the corner office and see the CEO, who almost always has come up through the lending operation in some form or fashion. Remember when Joe had that spectacular failure? That whole strip mall idea was brilliant.

That thing tanked, and we lost a bunch of money.

We gave everyone a trophy, and that was good. Culturally, we struggle with a growth mindset. Now you’re talking about a business that tries to control losses. It’s natural to have a selection bias for people who have a fixed mindset. If we tease them apart, these are two different things. For our core business, we’re not saying, “Anything goes, let’s throw it against the wall.” No.

Safety and soundness matter, and processes matter, but around the edges, we need to be comfortable taking some risks and understanding that taking a risk is for the purpose of learning. That’s what true value is. It’s not a traditional ROI that we’re going to look at, and we’re like, “We’re going to go do this experiment. Over the next years, it’s going to generate $100,000 in revenue.” It’s probably not an experiment if you can forecast all of that.

Take risks for the purpose of learning.Share on X

If we look at it and say, “For a small cost of dollars and the potential downside risk associated with it, let’s assume it all goes bad, and we lose all those loans,” what’s the minimum amount we could test to say this is worth it? Once I have a platform and want to optimize my system, what number of leads in the mortgage business am I willing to risk to say, “What if we changed our onboarding and flipped it around that you could do an automated approval or a workflow?” We’re willing to do twenty of those mortgages and look at what falls out the other side. You’re recognizing the whole thing could blow up. That’s probably worth learning, and then you build your business case once you have data.

When you’re working with banks, credit unions, and some of the FinTechs out there that you guys work with, and you’re talking about transformation and projects, are you advising them on doing more proof of concepts, more tests, and more 90-day, 180-day type scenarios? Is that part of your advice package on a typical basis?

Alloy Labs operates a reverse accelerator. It’s reverse in the sense that what we’re accelerating is the development of new types of partnerships and what the use case is. Not about, “Let’s go teach a startup to be a better startup,” or even to go meet a bank. Let me give you a great example that came out of it. One of our four thematic areas is around healthcare for both small businesses and for consumers. Specific to consumers, we’ve been focused on aging tech.

One of our VC partners hasn’t been partnering with banks yet. They’re a direct-to-consumer platform called Carefull out of New York. What they do is help adult children or caregivers manage the financials of aging parents. They had started down this path of, “Can you actually map cognitive decline based on cognitive data?” It turns out you can. You start missing payments and doing double payments. It’s all of these other places that they can help highlight. Having lived with my parents when we first moved back to Minnesota, I can tell you that elder abuse is real. Their phone rings off the hooks.

What Carefull solves is that this is not just a lever you throw where Jason is on the outside to Jason is now with the full power of attorney. That’s what ended up happening, and it was not a smooth transition. There’s this gradual change where you’re moving from, “You have read access,” to now, “You have limited read-write access,” to, “You have full control,” over the span of ten-plus years. That’s the problem they solve. They came to the concept lab, and our banks were intrigued.

I’m intrigued. That sounds fascinating.

One of our smaller banks was all over it. They looked at this and were like, “We have an aging population base. It’s a huge issue for us.” Their approach was like, “Let’s play out what would a paid pilot look like for you. It’s not full integration. It’s going to get us the data we need.” For Carefull, they can prove that banks can use this and do something with it. They figured out what the minimum is for both sides to say this is a good fit. It worked stunningly well. Now they’re on the fifth iteration of it. Frankly, even after you’ve signed the long-term contract, you should still have a proof of concept mindset.

You’re learning. You’re constantly evolving.

This is not a core conversion where the project is done the day it goes live. It should be a perpetual proof of concept until you’re like, “This thing is just running and humming. There’s no more to be done. Let’s innovate on something else.” If you sign a three-year contract, you should probably think of that as twelve proofs of concept over that span of time.

It’s so mind-blowing when you think about it. It’s been driven in to a lot of the people in these organizations because maybe the cores and legacy technology that, “We’re going to buy technology, and that’s the destination. We turn it on, it works, and we don’t need to do anything.” That is not how your technology partners should be approaching.

I know you guys see that a lot. Here are a couple more questions here. You guys obviously see front and center, ground zero, a lot of digital transformation projects. If you had to pick a couple of key points of failure, and we’ve talked about some of this, where would you point most often are the failure points in some of these organizations when it comes to big digital transformation projects?

Two. The first one is always looking at cost savings. We love those cost savings because they’re the easiest to point to, “In our efficiency ratio, what’s the impact going to be in hard dollars saved?” Except not everything can be cost savings. You’re not going to cut your way to greatness, as I already mentioned. The other is there are just some foundational things that need to happen that you’re not going to attribute the ROI to. The two big ones are that you need to figure out data and how you free the data. Second, you need to figure out APIs. Those are two things that you cannot point to today and say, “Here’s what that direct impact is.” You need to go do it.

You have to do it.

The longer you wait, the worse it’s going to be. If your board says no, you need new board members.

It’s really that profound. If they’re not investing in freeing the data, having APIs set up, and those types of things, you’re sealing your own fate. It’s a question of time.

Exactly. One of the other places that banks overthink, “I need a full digital transformation strategy.” They’re going to spend so much time planning, and the world’s going to move so much further before they catch up. This was one of the big insights of our Robotic Process Automation Center of Excellence. This would be true of anywhere that you’re looking at, “Where are the places I can automate?” Don’t focus on the biggest impact things first. Start doing some of them. This was a big a-ha for several of the members. We did one in the labor savings that we’re able to redeploy and work on other things. We just kept finding the next easy things that quick hits added up a lot faster.

Fintech: Don't focus on the biggest impact things first. Just start doing some of them.

You can make tremendous progress on various projects when you take that mindset of, “Let’s find some quick wins, low-hanging fruit, and then do it again.” Before we went on the show here, we talked a little bit about banking as a service. You mentioned somebody starting a neobank for everything. Every imaginable unique person or group has a neobank. Where are we at with that trend? What are you seeing, and what are your thoughts?

The flip side is not only is there a neobank for everything, but there’s also a bank behind them willing to be the bank behind the neobank for everything. Finextra published a survey that 85% of banks said that they are going to do something in banking as a service in the next eighteen months. I find a couple of things astounding about this. Who are the 15% of banks that don’t want to and are willfully choosing not to? For the 85% of them, how are they going to get into it and do it in that timeframe? I don’t know that any bank would be accused of being fast and standing those things up. What this comes down to is a principle for both the neobank and the bank behind it. Strategically, what are you trying to accomplish?

There is not enough differentiation on either side in terms of what they’re doing to make this business model work. Fundamentally, I’ve said this before, and some people take umbrage to it. Interchange cannot be your business model. Interchange is going to go down. We’re going to see it begin to maybe not get all the way to zero, but it’s under pressure.

For people that don’t know what interchange is. It’s the fees that are charged when there are transactions.

It’s what the merchants pay that funds your awards program, which is a huge source of profitability for most banks. It’s the reason MasterCard and Visa exist. What we’re going to see is there are now alternatives. When Dodd-Frank was introduced, it put a cap on interchange fees for the biggest banks. There was no alternative for the merchants to not pay those fees for the banks than under $10 billion.

Guess what? There are now. The number of places you can go, and not only is it more convenient for you to say, “I’ll click out using Amazon. It knows my address and all of that.” That button exists in a whole lot of places. How often do you embed a payment method in your wallet for something? I can tell you and hope they don’t do this.

They would not have to give me very much at Starbucks to get me to link my routing and account number and turn that into an ACH. I already store money there. Why? It’s because it’s too inconvenient to like, “I was getting a latte for my wife, which quadruples the cost. I only had $4 in my Starbucks wallet. Now I need $25 based on everything she ordered.”

I keep $50 bucks in my Starbucks wallet that auto-loads. If they said, “Jason, if you know you were willing to do that to make it an ACH, you get one extra donut a quarter,” I’d do that for a donut. Are you kidding? I would switch to that. That’s where we’re going to see interchange begin to have pressure. Now, we’re going to get into this case. What’s the business model? The bank needs to be paid. The tech stack needs to be paid, and the neobank needs to be paid. Everyone needs to rethink their business model. In this new world, how do I operate?

Angela Strange of Andreessen Horowitz always said everything’s going to be a FinTech, which is true. If you are conducting commerce, you will, by definition. If you are buying, selling, or storing a value of some sort, you are becoming a FinTech. The threat to traditional banking is not these new startups coming in. It’s those that view the friction that we put into the system, whether it’s fees, time, or inconvenience. That’s what’s going to get taken out of the system.

There’s a reason, and it seems crazy that why would anyone go to Rocket Mortgage. It was more expensive. On average, 35 basis points are more expensive. Why would I go to Rocket Mortgage? I’ll tell you why. It’s because Jason’s problem that he’s solving is not how inexpensive the mortgage is. It’s called don’t lose the house. “I need to get a mortgage approved over a Saturday, and I can’t go into the community bank.” That’s the problem Jason’s solving for. I’ll just refi that later, but it is not, “Get mortgage.” It’s, “Don’t get divorced because you lose the house you’ve been dropping for over months.”

Don’t have your wife or spouse mad at you for losing the house.

While living in her in-law’s house. This was a very potent use case. You have to think about what that problem is and where it fits.

That’s very well said. I feel like we’re going to have to have another conversation and go deeper on those topics. Thank you, as always. Thanks for the time, Jason. I appreciate your thoughts.

Thanks, Joe.

Important Links

About Jason Henrichs

EXIN 8 | Fintech

I bridge the gap between large organizations and the fintech ecosystem to innovate in a highly regulated environment. My passion is solving problems that leave the world a better place, especially in financial services.

I’ve been a founder, venture capitalist, executive, board member, advisor, angel investor and mentor in the startup world for two decades.

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The Reputation Playbook for Lenders Who Want to Grow in the AI Era

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Meet the Partner: Birdeye

Birdeye is the #1 Agentic Marketing Platform for multi-location brands. Financial institutions use Birdeye to manage their online presence, collect and respond to customer reviews, monitor local listings, and turn customer feedback into actionable growth intelligence. Birdeye’s platform unifies the marketing stack to help lenders, banks, and credit unions build trust at scale—branch by branch, advisor by advisor—so every part of the organization is earning customer confidence before, during, and after the relationship begins.

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For most financial institutions, the customer relationship begins when someone fills out an application, walks into a branch, or picks up the phone. But that’s not when your customer’s journey begins.

Long before a borrower reaches out, they’ve already started forming an opinion about you, your competitors, realtors, and the mortgage industry in general. They’ve searched for lenders in their area, read reviews, seen the news, and talked to family, friends, and coworkers. They’ve probably even asked Claude or ChatGPT to compare rates from local banks and credit unions. They’ve scanned branch listings, looked at star ratings, and made a shortlist of their top choices. They’ve done a lot. And all without ever speaking to a single person on your team.

That’s the new front door for financial services. And for too many institutions, that front door is invisible, inconsistent, or completely closed. It’s a huge problem that Total Expert and Birdeye are working together to solve.

The shift happening right now in borrower discovery

Borrower behavior has changed in ways that most financial institutions haven’t fully caught up with yet. For a long time, reputations in financial services were built through branch relationships, local presence, referrals, and personal trust. Those things still matter but, today, trust is often built or lost before a borrower ever speaks to a loan officer, banker, or advisor.

A borrower may first meet your brand through a Google search, an online review, a branch listing, a social post, or an AI-generated answer. They may ask AI platforms which lender is best for first-time homebuyers, which credit union has the best service, or which local bank is easiest to work with. In that moment, your reputation isn’t just what your brand says. It’s what the digital ecosystem can find, understand, and validate about you.

The data backs this up. Birdeye’s State of Online Reviews 2026 report found that review volume grew 30.7% year over year in 2025, with Google capturing nearly 80% of all reviews. Meanwhile, McKinsey describes AI-powered search as the “new front door to the internet,” with research showing that half of consumers already use AI-powered search and that AI search could influence $750 billion in revenue by 2028.

For financial institutions, this matters because trust is a product you can’t put a price on. People are making decisions about homes, savings, credit, and their financial future. If your branch information is inaccurate, your reviews are negative or outdated, or customer feedback goes unanswered; you may lose the borrower before the relationship even starts.

What Birdeye does and why it matters for financial institutions

Birdeye replaces fragmented point tools with one full-cycle platform. Instead of forcing small teams to manually update data, custom AI agents execute marketing playbooks autonomously across hundreds of locations. For financial institutions, it helps manage the full digital presence of every branch, advisor, and location—at scale.

In practical terms, that means:

  • Keeping branch and location data accurate and consistent across every major listing platform and search engine
  • Collecting customer feedback and reviews at key moments in the borrower journey
  • Monitoring and responding to reviews across Google and other platforms—quickly and at scale
  • Surfacing customer experience signals by branch, loan officer, product line, or market so teams can identify where trust is strong and where it’s breaking down
  • Building the content, consistency, and credibility signals that AI-driven answer engines use to recommend businesses to consumers

Birdeye’s State of AI Search 2026 report found that in an analysis of ChatGPT, Gemini, and Perplexity, 80% of brands were cited at least once in AI-generated answers—but only 15% held the top citation position with their own owned domain. AI search rewards clarity, structure, and consistency. The financial institutions that win in AI-driven discovery will be the ones with the most trusted, complete, and credible local footprint.

That’s exactly what Birdeye is built to create.

How Total Expert and Birdeye work together

Most financial institutions don’t have a data problem. They have a connection problem.

Customer signals are everywhere: CRM records, reviews, surveys, branch interactions, loan officer conversations, and servicing feedback. The issue is that these signals often sit in separate systems. So, by the time a team sees the pattern, the moment to act has already passed.

Total Expert helps financial institutions manage customer engagement and relationship journeys. Birdeye helps them capture feedback, manage reputation, improve local visibility, and turn customer signals into action. Together, they connect the relationship layer with the reputation and experience layer—so the intelligence flows in both directions.

Here’s how the integration works in practice:

  • Lenders can request feedback from borrowers at important moments in the relationship journey—after an application, closing, branch visit, or servicing interaction
  • Survey responses and customer experience scores from Birdeye can flow back into Total Expert, giving relationship teams visibility into how borrowers are feeling inside the systems they already use every day
  • A positive review can strengthen local visibility and reinforce trust in that branch or advisor’s digital presence
  • A negative review or recurring complaint can trigger service recovery or escalation—before it becomes a bigger problem
  • Patterns in feedback data can become operational priorities, helping regional or branch leaders identify where the experience is breaking down and course-correct quickly

This is the shift financial institutions need to make: feedback shouldn’t sit in a dashboard. It should move into the daily workflow of the business.

From reactive to proactive: the future of experience-driven growth

The traditional model of reputation management was reactive. A customer leaves a review. Someone responds. A report gets created. Maybe a trend reaches leadership weeks later.

That model is too slow for how borrowers make decisions today.

PwC’s 2025 Customer Experience Survey found that 52% of consumers stopped using or buying from a brand after a bad product or service experience, and 29% stopped because of poor customer experience online or in person. Experience isn’t a soft metric. It directly affects loyalty and growth.

Together, Total Expert and Birdeye give financial institutions the tools to move earlier and act faster. AI can help teams listen at scale—bringing together signals from reviews, surveys, social channels, listings, and CRM systems. It can help teams act faster by identifying urgent issues, drafting responses, routing follow-ups, and giving branch and regional leaders clear next steps. And it can help leaders see what’s working: which branches are earning the strongest trust, which loan officers are creating the best borrower experience, and which themes are driving referrals and conversion.

This is where reputation management becomes something bigger: experience-driven growth.

Accessible through the Expert Partner Network

For Total Expert customers, accessing Birdeye is straightforward through the Expert Partner Network—the same ecosystem where lenders can access a range of integrated tools and services designed to support every stage of the borrower journey.

Instead of standing up a new workflow or managing a separate vendor relationship, Birdeye’s capabilities become part of how your team already operates. The feedback loop between Birdeye and Total Expert means your relationship data gets smarter over time, your team sees the signals they need in the right context, and your borrowers experience a more consistent, responsive institution at every touchpoint.

The lenders who win will earn trust before the first conversation

Winning in today’s market isn’t just about having the best rates or the most loan products. It’s about being the institution borrowers find, trust, and choose—often before they ever pick up the phone.

The financial institutions that get ahead will be the ones treating reputation as an operating signal rather than a marketing metric. They’ll use customer feedback as real-time intelligence. They’ll build the kind of consistent, trusted digital presence that earns borrowers in a world where AI is increasingly answering the question, “Who should I work with?”

That’s what Total Expert and Birdeye make possible—together.

Customer IQ

Building an Always-On Context Engine for AI in Lending

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Total Expert Founder & CEO Joe Welu recently joined the HousingWire Daily podcast to break down how AI is helping lenders have smarter, more personal conversations with borrowers—at a scale that simply wasn't possible before.

In early 2025, Total Expert launched our AI Sales Assistant. Since then, the mortgage industry's relationship with AI has fundamentally changed—and Total Expert Founder and CEO Joe Welu says the results have been unlike anything the company has seen in over a decade of building lending technology.

"The innovation this past 6 to 12 months has been nothing short of extraordinary," Welu told HousingWire's Sarah Wheeler. "The results that we've been able to get with our customers have been really like nothing we've ever seen."

The lending challenge AI is built to solve

At its core, AI Sales Assistant addresses one of lending's most persistent challenges: the gap between an originator’s intentions and their bandwidth. Even the best originators can only connect with so many contacts in a given day, week, or month. And if they want those connections to feel personalized from the borrower or homeowner’s perspective, cookie-cutter emails and phone calls won’t cut it. It takes time. And that’s a very finite resource.  

So, originators have a choice: spend time making each interaction more impactful but reduce the number of contacts they can engage or choose quantity over quality and risk eroding your relationships by failing to personalize your communications.  

AI Sales Assistant was designed to close that gap not by replacing originators but by giving them something they've never had: perfect memory and infinite reach. Nobody can remember every detail from a conversation they had six months ago, and they can't personally reach out to every past customer when rates drop or when they reach an equity threshold.

"If you think about a top producing originator who wants to stay really deeply connected to their customers," Welu explained, "the dependencies are often just the time and human horsepower required to reach out and engage with every one of those consumers."

AI Sales Assistant is on pace to 130 million calls this year; each one personalized to the borrower or homeowner’s specific financial situation, tailored to meet the lender’s unique brand, and trained to comply with industry regulations.

Context is everything: Introducing Customer IQ

What makes Total Expert's approach different isn't just the volume of conversations; it's the depth of context behind each one thanks to Customer IQ.

Customer IQ aggregates and analyzes the data that matters most for homeownership and lending: servicing data, real-time product and pricing information, conversation history, consent records, and more. It creates a continuously enriched contact record of every customer and lead, so that every human and AI-powered engagement is grounded in what actually matters to that borrower right now—even as short-term priorities shift and long-term goals evolve.

"Context is really about helping our customers understand what matters most to that consumer at any given time," Welu said.

When a borrower mentions during a call that they're helping their child buy a house, or that they're thinking about downsizing for retirement, that context gets captured, fed back into Customer IQ, and made available to the originator so their next conversation will be more personalized and more meaningful.  

The human–AI handoff

A key design principle for Total Expert is knowing that there will always be a time when AI needs to step aside and let a human take over. If a borrower hesitates or the conversation isn't flowing, our AI Sales Assistant detects it and seamlessly offers to connect the consumer with an originator in real time or schedule a meeting for a later date.

"Because our AI is trained specifically on mortgage use cases and the types of conversations originators are having every day,” Welu continues. “The AI can sense when conversation isn't going in the direction we want it to," Welu explained. "At that moment, if the originator is available, we can live transfer that customer and just get two humans on the phone."

Lenders have significant control over how and when that handoff happens. Total Expert works closely with each customer to craft conversation flows that match their brand, their compliance requirements, and their vision for the borrower experience.

Unlocking products lenders have left on the table

One of the most compelling use cases for AI in lending is to surface home equity opportunities that originators have historically had little time or interest to pursue. That’s because equity discussions often require educating homeowners on their options for leveraging that equity. If a homeowner doesn’t have an immediate need to pay down debt or fund a large expense, for example, those conversations can quickly become dead ends.

But if Customer IQ identifies a homeowner with significant high-interest revolving debt and available home equity, AI Sales Assistant can leverage that insight to proactively reach out, explain the consolidation opportunity, and send the homeowner a link to start the application—all while keeping the originator informed as the opportunity moves forward.

"The originator retains a customer, their brand stays at the forefront, and the homeowner gets an incredible financial outcome," Welu said. "And now the relationship becomes deeper and more connected because you've been able to deliver something they didn’t expect but definitely needed."

Democratizing what only the biggest lenders could do

Historically, maintaining consistent post-close outreach required massive call center operations that only the largest organizations could sustain. Voice-first AI agents combined with Customer IQ level the playing field for lenders, banks, and credit unions of all sizes.

"What voice AI has done is democratize it," Welu said. "Customer IQ with voice AI gives every lender the ability to say, why can't we have 100% retention of our customers? What's stopping us now?”

Lenders using Customer IQ + AI Sales Assistant have already doubled their recapture rates. And as rate windows open and close with increasing speed, the ability to reach the right borrower at exactly the right moment has never been more valuable.

What's next?

Looking ahead to the rest of 2026, Welu is energized by what he sees as a fundamental reimagining of the lending industry, one where AI elevates people to the highest levels of both creativity and productivity, and where consumers consistently receive the kind of personalized, contextually aware experience that was previously impossible to deliver at scale in this industry.

"I'm excited and energized every day by this reimagining of what’s possible in our industry," he said. "We can elevate people to a place that makes their jobs more meaningful and fulfilling. Ultimately, that will lead to better, more consistent outcomes for consumers. It's win-win across the board."

🎧 Listen to the full episode on HousingWire Daily  

Expert Partner Network

Customer Retention Begins on Closing Day

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Meet the Partner: Tiff's Treats

Tiff’s Treats is a specialty dessert delivery company known for bringing warm, freshly baked cookies straight from the oven to your customers’ doors. Founded on the idea of creating moments of joy through simple, thoughtful gestures, they’ve built a reputation for high-quality treats and fast, reliable delivery. With a focus on celebration and connection, Tiff’s Treats helps turn every occasion into memorable experiences. Whether it’s a milestone moment or a spontaneous surprise, their deliveries are designed to delight.

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Whether it’s a first-time homebuyer collecting the keys to a dream, a homeowner refinancing to lighten their monthly expenses, or a high-equity homeowner leveraging a HELOC to access funds at a lower rate—closing day is special. And as their focus shifts to moving, decorating, and new plans for the future, too many lenders immediately shift their focus to the next customer, the next loan, and allow a perfect opportunity to build lasting loyalty to slip through their hands.

During the mortgage process, engagement is high. There are daily or weekly conversations, timely updates, and a strong sense of partnership. But once the ink is dry, that cadence often disappears. What was once a high-touch relationship quickly becomes no-touch at all.

But it doesn’t have to.

The post-close drop-off problem

No lender wants to lose touch with their customers. The challenges are often time, resources, and execution.

Loan officers are focused on the next deal. Marketing teams are stretched thin. And without a scalable system to maintain meaningful, timely outreach, post-close engagement becomes inconsistent at best and completely forgotten at worst. That can quickly make what once felt like a truly personal relationship feel like a cold, impersonal transaction.

That gap matters. Because when it comes to referrals and repeat business, success isn’t driven by who provided the lowest rate. It’s driven by the emotional connections, trust, and rapport built along the way.  

If you’re not staying present in your customers’ lives, you’re not just losing visibility—you’re losing relevance.

Why traditional outreach falls flat

Email campaigns, newsletters, and postcards all have their place but let’s be honest: most of them get lost in the noise of crowded inboxes and junk mail.

They’re easy to ignore, easy to delete, and easy to forget. That’s because they don’t stand out. They don’t have a presence. And they don’t make an impact. People don’t remember generic marketing; they remember experiences.

Enter Tiff’s Treats: turning a moment into a memory

That’s where Tiff’s Treats comes in. They help lenders transform closing day and mortgage milestones into memorable experiences by delivering warm, freshly baked cookies straight to your customers’ doors.

Think about the moments that matter most in a homeowner’s journey:

  • Closing on a new home  
  • Celebrating a home anniversary  
  • Completing a refinance  
  • Cashing out
  • Leveraging a HELOC
  • Even SELLING their home

What might be another day at the office for you is a deeply emotional and personal experience for them. So, when you show up in those moments with something tangible—something thoughtful—you create a connection that goes far beyond a templated text or email.  

It creates surprise. It creates delight. And most importantly, it creates a memory your customer will remember—and a story for them to share.

From good intentions to consistent execution

Here’s the reality: most lenders already know they should be doing this. They just struggle with consistency as they juggle new leads and active deals. If the choice is between picking up the phone to engage a motivated borrower and coordinating a gift to a past customer, 99 times out of 100 a loan officer will choose the phone call. That’s why automated gifting is so powerful.

Instead of relying on a manual process that pulls you away from opportunities to close deals, lenders can ensure that key milestones are acknowledged, and past relationships don’t fade away. That consistency keeps you connected in a way that feels natural, not forced.

And over time, those small, thoughtful touches compound into something much bigger:

  • Stronger customer loyalty  
  • More referral conversations  
  • Higher lifetime value  

It’s not about one big gesture. It’s about showing up—consistently—in the moments that matter.

Seamless access through the expert partner network

What makes this even more powerful for Total Expert customers is how easy it is to execute.

Through the Expert Partner Network, lenders can access Tiff’s Treats’ services directly within the Total Expert ecosystem—making it simple to incorporate experiential gifting into their existing customer Journeys. Instead of adding another tool or process, gifting becomes part of the workflow:

  • Trigger deliveries at key lifecycle moments  
  • Align outreach with customer data and milestones  
  • Scale personalized experiences across teams and branches  

Turn small moments into long-term growth

Winning in today’s market isn’t just about acquiring new customers, it’s about keeping the ones you have. The lenders who stand out are the ones who understand that retention is built on relationships. When you consistently demonstrate that you have their needs in mind, something powerful happens:

Customers remember you, trust you, refer you, and come back to you the next time they have a mortgage need. That’s how you turn a single closed loan into a customer for life.

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