Longbridge Coo Bill Packer about how technology influences workflows

After seeing the success in maintenance, we asked: How do we bring that to our activities? And once we have it with our operations, how do we move it to the front of the funnel?

Our Loanbridge system brings the same methodology to our operating team to the origin side that we use on the service side, and then we have worked incredibly hard, mainly with our retail agreement, both our NFS team and our call center seam, to take their workflows and then to integrate them with our marketing trips.

SW: What are some of the other workflows where you combine AI with human efforts?

BP: So we introduced, again to the maintenance side, but we are now pushing it forward in our originating area, which we call service -except. Prior to the maintenance of the exception that went live, when a loan continued to our service system, we had a person who would look at the data in the origin system, view the data in the service system, view and do the underlying documents and are mixed.

Now, with the machine learning tools that we have, with the way OCR has evolved-with a light touch of AI and his ability to understand documents, we can compile and load the components from stare-and-compare to the machine. It focuses the employee on exceptions and our costs per withdrawn loan have fallen by almost 50%. The machine never takes on vacation, it never gets tired, it never gets angry. Does it make a mistake? Yes, but it makes the same mistake over and over again, so you can see it.

Something that was a bit surprising is that we discovered that it is better in reading handwritten documents than our human being. So we have seen our ACH errors fall by 67% – so we get two -thirds better. In the forward space, if the borrower is too late with a payment, we charge the borrower a late fee. In the reverse space, when I am the lotteryer’s draw, I pay them a late fee. So now, by reducing these ACH errors, we see a dramatic reduction in our late cost payment to the consumer. The consumer is happy because they get their money faster, without mistakes.

SW: Do employees who were used to the traditional stare-and-compare processes find it difficult to trust the AI processes?

BP: In my career it always seems to fall into the third parties. A third of people immediately take over the technology. Then a third of people say, I have always done it this way, I am not sure if I can trust the machine, and they are adopting slowly. And then you have that middle third, who wait to see which of the other camp rules the day. And it often comes back to leadership.

We are experimenting with many of these things in the maintenance of the first and one of the reasons we do is because in my maintenance group it is more like two -thirds of the people willing to accept these technologies. During the history of Longbridge, the leadership team has more and more tended to be a tech-forward company. Our CEO, Chris Mayer, identified early that if we become a scalable industry, it cannot be limited by what a person can do and what they know. We must systematize this knowledge and make repeatable processes and use these technologies to make us more productive. And that has been the DNA of the company.

SW: When it comes to technology and automation, are there limitations that you have with reverse?

BP: There are big things. One is that Fha And Ginnie Mae There is currently no enotes for their loans. That does not mean that we cannot do it on our own side, that does not mean that we cannot do a hybrid closure, but if we want to deliver the full eclosant digital experience, we will have to work – and we work – with Fha and Ginnie Mae to help that ball a little forward. And if you think of our borrower, they are more likely than the general population to have conditions that make repetitive signing more difficult for them.

The other piece is that we have not yet introduced automated insurance in the reverse mortgage world. It is something we are working on and we are very enthusiastic about and I think it can help our underwriters to be much more productive and send them to places that may need the more personalized intelligence of an insurer. So that is another place where the technology must be applied.

SW: What keeps you awake at night?

BP: I sleep really well. But all I would say stops me at night that there is information security. We have given an enormous responsibility the information that our customers provide to keep it safe and protected. The threat actors, they only have to be lucky once. We have to defend our company every day every time. But we spend a lot of time there and we have invested an incredible amount of resources in protecting our environment, improving it, and we continue to do this as we see new threats.

I always recommend people: be very careful that if you go to the internet and get access to something that is simply publicly available, everything you place there is publicly available and they will use what you have given them to train their models. Just be very careful and thoughtful about all of that.