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In this conversation with HousingWire’s Allison LaForgia, Michael Crockett, Chief Operating Officer at Xactus, discussed how AI is reshaping mortgage operations. From making decisions and managing complex borrower files to creating a more sustainable mortgage staffing model, Crockett sees an opportunity to build greater scalability into the mortgage process while keeping people at its center.
For Crockett, AI represents a fundamentally different evolution than the mortgage industry’s transition from manual to digital processes. “Digital was simply looking at some of the areas that were manually being done, and that you could bring some consistency, and that you could have it flow a little bit differently through your workflows,” he said, “AI is truly making decisions.”
That decision-making capability also creates new responsibilities. Crockett cautioned that lenders cannot simply implement AI and assume its outputs will always produce the intended result. “My only concern at this point is trusting of it without monitoring it, because we don’t know where it’s all going to take,” he said, pointing to potential fair lending concerns that could arise without human oversight.
That makes identifying the right areas for AI just as important as the technology itself. Rather than automating for the sake of automation. “You have to look at it truly with open-mindedness of where there is smoke, there probably is fire.”


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00:08In Dallas, Texas, I'm Allison LaHorja sitting down with Michael Crockett, the COO of Zactus.
00:15Michael, thank you for joining me today.
00:17Thank you for having me.
00:18Do you think AI is at a similar inflection point for the mortgage industry that we saw
00:25when we went digital? Or do you think this is bigger than that?
00:30It's bigger than that. Digital was simply looking at some of the areas that were manually being done
00:38and that you could bring some consistency and that you could have it flow a little bit differently
00:43through your workflows. With AI, AI is truly making decisions. AI is truly looking at information and
00:51being an extension of a human brain, if you will, and then making those decisions and moving forward.
00:58My only concern at this point is trusting of it without monitoring it, because we don't know
01:06where it's all going to take. Because what if all of the right decisions are being made,
01:10but then you somehow end up in some type of disparate that you are targeting and profiling
01:17in your results. And it's all done correctly, but it's done in a vacuum without looking at it. And the
01:26we have a fair lending concern. Those are the areas that it could lead you to. However, the difference
01:33that I see AI, it can pivot and it can change with a simple decision put into its system and
01:42now
01:42recognizing what it's doing. Whereas the digital was more static. It is, yes, it was moving. It was
01:48taking us from pen and typing it to more digitizing and extraction of data, but it was only at certain
01:57points, not from a decision making.
01:59What do you wish people considered or thought out more intentionally when they looked at actually
02:07taking AI and applying it into their operations?
02:14Where they see vulnerability in their process. And that's hard when you are looking at the
02:22vulnerability very well maybe in your most senior people, right? Because stuck in your ways, it's been
02:30done the same way and we haven't had issues. It's not a proper answer when you're trying to move forward.
02:37So when you look at it and you have to look at it truly with open-mindedness of where there
02:43is smoke,
02:45there probably is fire.
02:47Do you think from an adoption standpoint, there's any perhaps trepidation over the fact that people
02:56are concerned with this replacing them?
02:59Most definitely. Especially, let's face it, in the mortgage field that we're in and certainly as you
03:07start getting in the underwriters and those of us who have been doing this for a period of time,
03:12you hear AI and you hear job replacement. It goes simultaneously in your mind. However, when you look at
03:22bringing AI, it's the scalability that it brings. It's looking at the company should be looking at it
03:28as how can we grow without having to add, say, additional personnel, not to eliminate personnel,
03:34but how to grow without having to hire as many people. Still, there'll be people, but it's not a
03:41replacement. It's an extension and it gives the great minds an opportunity to do what they do great and
03:48specialize in those particular areas. And some of the more data that we would say these are
03:54decisions we're making, we know it, we can make them in our sleep. Well, let's allow AI to make
03:59those decisions.
04:01Do you think that AI has the capability of helping the mortgage industry get rid of our dirty secret,
04:08which is the hiring and firing cycles that all of us have lived through at least one of?
04:15Yeah, I think the ebbs and flows that take place is now that's interest rate driven. I think that is
04:20about the business and the type of business that one may be into whether it's in, you know, the
04:25wholesale to retail, if it's in the refi, that's still going to take place because that's interest
04:30rate driven. But would we be able to say now my scalability that I know for me to take on
04:37new
04:37business during these influx of business times, we don't have to go and make a massive hire
04:43knowing that it's only going to be temporary. That's the piece that I think the industry will
04:49certainly enjoy and it'll give us an opportunity to have more of the veteran minds in this industry
04:55that knows they can stay there because it's not a matter of where am I going to be next year
05:02or when
05:02rates change or if they increase so much or am I going to get back in it because now we're
05:08in a
05:08refi boom. Those are things when you can keep the same type of employees doing those jobs,
05:14the industry will be better for it because we're going to have more qualified people
05:18with more purpose in the jobs that they're doing.
05:21Do you think that that helps with the increase in complexity that we're seeing from the borrower
05:27side where we're seeing more complex financial backgrounds, multiple jobs needing to get verified
05:35and an all around more complex transaction?
05:39And that's where I would say the scalability comes into it because now you don't have to
05:45staff differently for a more complex file. For example, if I do have
05:49an individual that has various income types and they're 1099, then you're going to have to
05:57go through their returns. Now there is automation that can come and actually do those calculations
06:03at scale without having to add people. But again, I'm still going to add the important pieces and human
06:10looking at that and making sure that not just the documentation that's given to us, we can't always
06:16assume that it is true and accurate, right? There are the checks and balances that we have to look at.
06:22And by bringing AI into it, you now are limited as to how much that same scenario is going to
06:30take
06:30a processor or a loan officer, you know, half a day to go through and spread the tax returns and
06:36so
06:36forth. Whereas with AI, it's able to be done in a matter of minutes.
06:40Now, we've been talking a lot about the lender experience here. So I'm going to throw you a curveball
06:47and ask you if you think there's a net benefit to the end user, the borrower, because at the end
06:54of the day,
06:56they're really collectively still our focal point, right? And we are ultimately an industry that does
07:02serve the purpose of helping people achieve more home ownership sustainably.
07:07I think you get more consistent in the result, right? The variability is taken away with AI.
07:16I also believe that the best thing that is to come when you start talking efficiency,
07:22it will eventually equate to cost savings for that end user, that consumer, I borrower,
07:27which at the beginning of all of the various things that have been talked about, new scores,
07:33you know, how we're going to go, the various regulatory requirements on verifications and
07:38things of that nature. It's all ensuring that we get the accurate borrower accurately being able to
07:45be assessed. And then if you're able to do that without adding more costs, more product,
07:50then in the end, the borrower is going to win. And the more borrowers that win,
07:55the better we're going to be as an industry.
07:59Crockett, what's your favorite use case right now?
08:04Um, I'm going to go probably more in the verification of employment and income side of it,
08:10simply because there are methods, there are so many very variable places we can gather information,
08:18but as we can gather information and then bring it concisely, meaningful data and present it to
08:25the underwriter, to the loan officer, uh, the processor and able to make those decisions,
08:31we are seeing that, that that's something that they're happy about. Right. And our goal,
08:39my goal from a COO perspective is the client experience. I want everyone that deals with
08:45Zactus in particular, but this is an industry statement as well, that it should not be painful.
08:51This should be a joyous occasion when people are actually going and obtaining their American dream,
08:58being able to help and facilitate that and be a part of it, doing it where it's now accessible to
09:05more, but not putting them out into a situation where they're not ready or not qualified.
09:12That's important. And when we start getting more homeowners home ownership for people that are
09:18really and truly qualified that want to make that next step in that next effort,
09:23we're making that available to them.
09:26You said something that stands out to me and you said partner with Zactus. How critical is that piece?
09:35Because typically you don't see any type of vendor relationship positioned as a partnership. So
09:41talk to me a little bit more about that. Partnership is, it's imperative that when we are an extension,
09:48I have, we have several clients and we, we are blessed in that regards, but they have different
09:53needs. They have different workflows. They have different desires. Uh, there are different types of
09:58shops and we have to be able to accommodate all those differences, us going in and saying,
10:05this is the way to do it. And what, like it or lump it, or this is a verification is
10:10a verification
10:11is a verification is not how we approach it. We are going in, we are truly concerned and want to
10:17know
10:17your workflow so that we can be an extension of all of our lenders. And as an extension,
10:24that means you view us as a partner when there are issues. Um, there's no blame that we are going
10:31back and forth. We're now looking and seeing where are we, where's the process breaking down
10:35and we have transparency so that we're able to go into our process that we're doing for them as
10:41an extension, as a partner, but we're also able to go into their process, their workflow and say,
10:46if we were to do it in this manner, could this help you? And when you have that type of
10:52relationship,
10:53openness becomes opportunity. And we've seen countless situations where our recommendations or
11:03a lender's recommendation of how we should do it has been taken and we've gained nothing but
11:09credibility. And in the end, a great success for both us, the lender and ultimately the consumer.
11:16So Michael, what's the next piece that you're excited about everyone seeing of your vision
11:23as the COO over at SACTUS?
11:26I want our culture to stand out. I want it to be known that everyone from the entry level
11:34person that you speak to, to the president and the CEO of our company,
11:39we all have the same goal. We have the same interest. You can pick a phone up literally today
11:45and you can get to our president. You can get to myself. You can get to
11:49the processor who did the front end work on it and you're going to get a consistent answer.
11:55And that if we don't know, we don't make things up. We go back in and we understand
12:00we're not perfect, but perfection is our goal.
12:04I love that. And I love how you take that vision and that bleeds through in your approach
12:12to when you work with partners.
12:14I think everyone sees it certainly from a SACTUS perspective. We're out on the road quite a bit
12:20and it's not just going out peddling credit reports anymore. We have evolved and we are a true
12:29verification technology company. And in doing so, we love to hear the pain points and we love to
12:36solve problems.
12:37Who wouldn't want someone to come in and solve their problems? I would love that.
12:41I would love it. I ask for it daily.
12:44Well, Crockett, thank you for letting me pick your brain. I can't wait to see what's next for SACTUS.
12:49Absolutely. Thank you.
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