Automated Excellence and Adaptive Automotive

Joining our host Drew Megrey is https://www.linkedin.com/in/jared-dryer-72744054/, VP of Consumer Lending and Centralized Deposits at https://www.linkedin.com/company/westerra-credit-union/. Jared brings a passion for streamlining processes for...
Joining our host Drew Megrey is Jared Dryer, VP of Consumer Lending and Centralized Deposits at Westerra Credit Union. Jared brings a passion for streamlining processes for employees and consumers alike—and he shares insights from his experience in building and implementing an automated decision engine and rethinking the process for underwriting adaptive auto loans.
Discussed in this episode:
- The challenges of rebuilding a consumer lending program
- What factors influence the loan-to-value (LTD) ratio
- Underwriting adaptive auto loans to serve the community
- Predictions about blockchain’s impact on the banking industry
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You are listening to Leaders in Lending
from Upstart, a podcast dedicated to helping
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consumer lenders grow their programs and improve
their product offerings. Each week, here
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decision makers in the finance industry offer
insights into the future of the lending industry,
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best practices around digital transformation, and
more. Let's get into the show.
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Hello and welcome to Leaders in Lending. I'm your host, Drew Megory,
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and this episode features my conversation with
Jared Dreyer, the vice president of
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Consumer Lending and Centralized Deposits at Westera
Credit Union in Denver, Colorado. In
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this episode, Jared and I first
discussed was Stara's approach to building its own
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in house automated decisioning engine, followed
by an interesting conversation about the adaptive auto
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space. I hope you enjoy this
week's topics, and without further ado,
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here's my conversation with Jared. Hello, Jared, welcome to the podcast,
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and thank you for making the time
to join me today. Thank you so
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much for having me. It's a
plaasure to be here. Thanks. So,
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as we typically do on the podcast, let's start our conversation by by
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rewinding a little bit. I don't
know about you, Jared, but for
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me as a child, a career
in the financial services space definitely was not
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something that was top of my mind. So can we start by giving the
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listeners a bit about your journey and
how you got to West Era, And
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on top of that, what's the
day to day like as the VP of
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Consumer Lending and Deposits. Sure happy
to and like you were just saying,
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that wasn't my intent either. You
know. I went to college to do
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biology as my undergrad and wanted to
study sharks in their natural environments out in
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the ocean. So I went to
school in San Diego and decided to come
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back to Denver, where my family
was, and I got into mortgage lending
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and was quickly recruited by Wells Fargo
and they wanted me to run some of
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their retail branches, and so I
got into the retail side of the business
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and did that for a few years
until they merged with Wacovia, at which
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point I jumped over to Belco just
because I really liked the credit uni movement
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and wanted to be a part of
it. I had some family members that
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were part of it historically, so
I knew a lot about credit unions,
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and I wanted to be a part
of that environment. So I came over
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to Belco, did retail there for
a few years, and then actually led
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some of the retail team, and
then because of my background in lending with
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doing mortgages and then also teaching a
lot of the branch managers how to underwrite
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loans because we did have decentralized underwriting
over at Belco at that point in time,
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I was able then to transition my
career over into consumer lending at Belco
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and really loved the opportunity of building
new products and services and helping better serve
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our members through the different lending opportunities
that we had. And I found it
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a challenge to try to grow our
portfolios while at the same time look for
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new areas of origination that maybe others
wouldn't be in at that point in time
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either, and so we did a
lot of cool, unique things at Belco.
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From there, Westair had an opportunity
because they had actually shut off consumer
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lending back in twenty nineteen with a
new executive team and the executive staff that
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came on board, so they asked, Hey, will you come over here
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and help us rebuild the consumer lending
platform. We'd like to start kind of
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from scratch, and the good news
was it wasn't completely from scratch, but
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they said, we'd like to start
over and really make sure that we're mitigating
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risk but also helping our members with
the types of financing that they need.
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And so I jumped at the opportunity
to kind of build something from the ground
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up. And I really love the
team over here and the leadership, so
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it was an easy move. And
I've been very happy coming over to west
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Era and really love what I do
because I've had that opportunity. So I've
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gotten into some new types of origination. I've stood up some new software as
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well as we've automated our decision engine
to industry high standards, and we've had
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a lot of fun doing it,
and we've been able to grow. Now.
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Of course, with COVID and with
the recent recession and liquidity concerns,
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it's been a little bit of a
challenge. So like you were asking,
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day to day, you know,
we're watching all those numbers and trying to
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do our best to balance serving our
members' needs as well as keeping the credit
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union financially sound. So we've had
to lever and d lever some of the
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stuff that we're doing. But I
really love that because it's very strategic,
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and it's very tactful, and it's
a lot of fun to do. So
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I've got a great team that I'm
working with over here, and I just
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love every day coming in and working
with them and finding these opportunities to help
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our members succeed. Thank you for
that. That is awesome. I would
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have liked to hear the path to
becoming a shark expert as well, if
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you could have funneled into the part
of your career, but I think that
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would have kept you overly busy compared
to how busy you probably already are.
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But thank you for that. One
thing I wanted to touch on though,
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that you started to talk about there
is around the decisioning engine, and something
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I found interesting when we spoke prior
is, especially since I work in the
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space of automation within lending, is
that Westara has automated their own decision engine.
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Right so Jared on this topic,
can we at least start by talking
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a bit about the reasoning as to
why wes Stara decided to build this engine,
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and then we can expand from there, sure, definitely. So when
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I came on board, Westerair was
currently only automating about eight percent of the
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decisions that were coming in through our
LOS and we use rcs through origins and
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it's a great system. It's built
with Boolean logic, and you know,
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I'll talk about that more as we
talk about how we design this engine.
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But when I came on board,
I knew that we were making inconsistent decisions.
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So you know, you may have
one member that's trying to get an
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AUTO in their specific situation and another
member that may look alike, and one
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may be approved, one may be
denied based on some outside factors or just
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a difference in underwriter. If they
got one underwriter who is a little bit
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more lenient versus someone who's a little
bit more conservative, there's a difference there.
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And I knew by automating our decision
engine we would have more consistent and
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fair decisions. But in addition to
that, we really wanted to get back
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into the indirect auto space here in
the Denver metro area because that had been
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turned off in twenty nineteen. And
in getting into the indirect auto space,
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you need to be very consistent with
your decisions. The dealers want to see
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the same decisions time and time again. So if they have that look alike
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customer that comes into their dealership,
they want to have that loan get approved
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time and time again as long as
it meets our criteria, and they don't
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want to be going back and forth
with the underwriters all day, rehashing deals,
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trying to get something to work.
So I knew automation was going to
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be key to growing those dealer relationships
and growing that volume of loan originations through
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the indirect network. And like I
said, since it had been turned off,
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we were at zero, and we
quickly over the next couple of years
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were able to grow it to the
ballpark of about twenty five to thirty million
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a month in new originations, and
they've performed very, very well. So
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it's been awesome to see the growth
and to see the great opportunity out there.
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That's great, and automation, of
course is something that is top of
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mind, and in credit unions as
an industry as a whole, have always
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been the ones that have been kind
of in the background and didn't automate or
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they're not up to the most recent
piece of technology. So when you guys
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were thinking about this automation piece.
How did you leverage? Did you say,
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Hey, let's get a room filled
with engineers to build this. Did
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you out like what was that kind
of transition of Hey, we want to
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do this, but how are we
going to ASCU? Sure? So,
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the team had already met with one
of our credit bureau reporting agencies and they
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had done a deep dive for us
and they had some recommendations on what we
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could do. But coming over from
Belco, I had the privilege of working
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with Cuddle back then so Are and
it was actually CUDC before Cuddle purchased them
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and then transferred over to Origins.
But with CUDC we had Tom Helmers who's
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now at Grow Credit Union down in
Tampa, and he and I worked together
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on a decision engine for Belco where
we used a custom score and so taking
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the learnings I had from that,
what I told the team at Westara was,
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Hey, without needing to pay for
this or going through a third party
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provider out there, we can actually
build it ourselves. And I told the
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team it's going to take a lot
of work, it's going to take a
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lot of time, and so everybody
needs to be very patient, but we're
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going to be able to build it
ourselves. And I've shared this with other
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people in the industry, you know, through the CUNA Lending conference, or
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I did a white paper actually for
QUNA on it. What I've told people
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is is exactly what I just said. It takes a lot of time and
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it takes a lot of work,
but it is totally worth it. So
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to build it out, we did
a five year regression analysis of data from
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twenty thirteen to twenty eighteen. And
the reason we picked those years is because
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in twenty twenty one, those loans
at all seasoned at least a minimum of
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three years, and most charge offs
happened between twelve and day eighteen months.
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So we knew that the data we
had was clean and that we knew what
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was performing and what wasn't. And
we were able to take all this data
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for five years and break it into
FYCO classes, into loan to value classes,
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debt to income, unsecured to income, and payment to income groupings.
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And what we did is we did
heat maps, So where were we normally
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approving the loans, where were we
normally declining them, and then what was
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the ultimate disposition? Did they perform
or did they not? And by doing
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an overlay of all these heat maps, and like I said, it was
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a lot of work because we did
this product by product. So we started
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with autos because that's where we wanted
to go to first, into unsecured after
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that, and then we even did
home equity, and home equity had its
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own challenges on top of it,
but we layered these heat maps on top
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of each other and were able to
draw rule sets by saying, Okay,
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so we like this Fiico band,
but we want to start cutting off our
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DTI at this point, are cutting
off our LTVs at this point, And
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we wrote those rule sets into our
cos and our automation went through the rough.
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So when we first turned it on, our autos were at seventy percent
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automation for both approvals and declines combined, and our unsecured products were over sixty
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percent. Our helocks, like I
said, we had some challenges, and
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that's just because when you're dealing with
the credit Euros, you don't always know
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which mortgage is tied to which property, especially if there's multiple out there.
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But we were able to automate twenty
five percent of those as well, so
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We've got some really cool automation built
into our system now. So to expand
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off that kind of a two prong
approach here is one a lot around the
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decision, right is there anything in
regard to automation piece full end to end,
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So applicant goes through either branch experience
online experience, the decision happens in
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there as told Hey, yes you
qualify or know or is it just simply
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the decision engine. And then second
to that is you started talking a bit
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about we started with auto went to
the personal loan space. Helock. Are
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you doing this today for just those
three asset classes or is it expanded across
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all? Yeah, great question.
So to answer your first part, the
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member does get communicated to their decision
based on how they apply. So if
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they do it through our online channel, they are of course going to get
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that response online. We actually stood
up a relationship with a loan Star so
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we do point of sale lending through
rcs as well. In those cases,
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not only do they do the application
through the lone Star system, they get
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a text response, as does the
contractor that they're working with, and they
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can go full end to end from
application all the way through closing digitally,
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So that's a really cool feature that
we've been able to deploy to them where
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we can do closings through DocuSign and
send all those out. So for the
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second part of the question as to
what asset classes we're doing today, Yeah,
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we started with auto, our personal
unsecured group, and our home equity.
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Since then we grew, like I
was saying earlier, we stood up
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Loan Star point of sale lending,
so we have now contractor loans for solar
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home improvement, and we also did
a west Era energy efficient loan. We
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have added those three also to this
space now and we really look at them
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like an unsecured loan for the most
part, even though we can do a
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UCC one filing and we've automated those
pieces as well. The really cool thing
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though is solar. Since we work
with the state and the Colorado Renew Project
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here for our state of Colorado,
we have set guidelines on what they want
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those loans to look like, and
you know who they want us to be
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able to help. So we have
fully automated our renew program to one hundred
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percent, so all the decisions are
made by the system. We don't even
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have an underwriter look at it unless
there's something that pops up like a fraud
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alert or a mismatch like on a
social Security number. And if we get
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one of those types of alerts,
then of course, yeah, the underwriter's
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going to take a peek at it
and validate all the information they can.
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But if everything comes through clear and
pass all the fraud checks, those loans
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are decisioned and ready to move forward
right away. That's awesome. And you
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often hear, especially on the home
equity align or even the mortgage product,
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the amount of time that that takes
and then the real time that you're able
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to say yes or no to your
members I'm sure is much appreciated. Yes,
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so cus to you your team.
I know that was probably a long
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time coming of building this and being
able to supply to your members. So
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again, kudos to you. Yeah, thank you. I want to make
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a pivot here and talk about something
that I know that you're very passionate about,
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and of that passion, I will
preface that most lenders are not willing
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to touch this or they probably don't
know too much about it, and this
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is being the space of what's called
adaptive auto. Can you first start by
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explaining one what adaptive auto is for
those who may not know, and then
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why you're passionate about this space.
Sure, So, adaptive auto are handicap
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accessible vehicles. So for our members
that are in wheelchairs or have different paralysis
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that keeps them from being able to
use gas pedals, brake pedals, and
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whatnot, they're able to build these
vehicles so that they can drive them.
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And adaptive auto is definitely an underserved
community nationally, so not only in Denver,
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but anywhere that you guys live or
any of your listeners live. They're
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definitely underserved there. And the reason
they're underserved is a lot of lenders don't
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know how to underwrite those deals and
they don't know what to look at.
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So let's rewind back in time.
So this is back when I started with
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Belco. One of the branches that
I ran, I would drive to work
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every single day, and at the
off ramp the exit to get to that
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branch was an adaptive Auto dealership.
So it was less than a mile from
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our location, and I saw them
every day coming in and I kept thinking,
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I wonder who's doing their auto loans
and who's taking care of them?
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So I drove over and I asked, and they said, unfortunately, no
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one. They said, we can't
get anyone to do loans for us.
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It's really up to the purchaser,
the customer to find their own financing for
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this type of deal. And they
said most of them are doing home equity
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or trying to get money put together
from friends and family to buy a vehicle
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so that they can be just even
their daily basic needs. A lot of
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times, you know, they may
have a child who's disabled and they need
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to get them to the school,
or may be an adult who's trying to
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take care of their family and they
may live on their own, but they
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just don't have reliable transportation to even
get to the grocery store and back.
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So at that point in time,
I realized, Hey, this is what
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a credit unions for. We need
to be able to help the members of
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our community and help them thrive.
And so what I did is I started
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talking to our lending team at Belco
about it, and I said, what
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makes the difference between an adaptive auto, so a vehicle that has a lift
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built in or some wheelchair assistance,
versus a truck that has a lift on
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it, you know, to lift
it up higher so they can put the
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bigger wheels on, or maybe the
bigger exhaust. And I said, when
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we look at those vehicles that have
those aftermarket customizations, we'll go into the
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KBB or we will go into NAD
eight and we'll adjust the value for those
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upgrades that they've done. And unfortunately, you know, you don't have the
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adaptive equipment listed. But I asked, what's the difference between this, and
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they said, really, there's nothing. So I came back and said,
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okay, so if we have an
invoice and the invoice says that you know,
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they put fifteen thousand dollars into this
vehicle to put the lift in and
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the joysticks or whatever they needed to
do so they could operate it, I
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said, why wouldn't we add that
to the value of the vehicle and they
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said, we certainly can. And
so we started looking at individual deals just
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as a one off, and through
working with that local dealer that was just
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a mile away from my branch,
they started sending their customers over to us
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at Belco into my location. And
because we had decentralized underwriting and I had
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authority, I was able to work
on some of those deals and don't get
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me wrong. It wasn't a lot. It was maybe one or two deals
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a month at the most, but
we would be able to find financing for
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them and help those members into those
vehicles. So fast forward now that I'm
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over at west Era and we regrew
our indirect group and started working on that.
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We started looking at a wider scale
of how do we help these dealers
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across the whole state of Colorado.
And in Colorado, none of them are
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on an indirect platform just because they
don't do enough deals to justify it,
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and they'll say no one understands how
to underwrite them. So we partnered and
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used our lone Star partnership and said, hey, we've got a retail point
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of sale platform we can give you
that you can use in your dealership.
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You can submit an auto loan directly
to us, and we'll treat you like
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any other dealer. So we'll pay
you a dealer flat on these and we'll
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give you the same kind of income
that you'd get if you worked for an
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AutoNation or a bigger franchise store out
there, and these deals will come straight
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to us. You'll get an immediate
decision and we can fund them through ACHT
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you and the member can close by
DocuSign and they said that they loved it,
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So we got that turned on and
we're now helping three different franchise dealers
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out there that have multiple locations that
do adaptive auto and they absolutely love it.
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So it's it's been really awesome to
do. We definitely want to grow
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that program, but we're definitely doing
the crawl walk run and we're kind of
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in the walk stages now we can
close remotely, so that's awesome. One
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thing I wanted to touch on too
is you said that not many people know
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how to underwrite this. Yes,
can you talk a little bit about the
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differentiation besides LTV using KBB or NADA
and such, of how to underwrite this
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type of asset class in correlation to
all other type of consumer lending. Yeah,
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So talking to these dealers that do
adapt to auto, they said,
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every single finance company that they've worked
with has always used just the basic KBB
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or NADA value and they come in
over the LTVs that are allowed at that
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financial institution. So whether it's a
credit union or bank, a lot of
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them start capping out anywhere from you
know, one hundred and twenty percent LTV
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one forty one fifty and they just
can't do the deal. And they said,
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you know, hey, we're financing
a sixty thousand dollars Honda Odyssey minivan
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that's five years old and you know, kbb on it is thirty thousand dollars
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and we just we can't get the
deal done anywhere. And it's because they
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aren't adding in those additional add ons, you know, the pieces that were
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manufactured and built for that van that
increase its value. And because they don't
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add those in and they don't have
the box to click, you know,
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when they're going through their automated los
to say yeah it's got the spoiler or
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yeah it's got the running boards or
whatever. They don't have the adaptive equipment
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there, so they just don't ever
add it in or think about it,
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and then it doesn't meet their LTV
criteria, so it gets kicked out.
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So what we do is we get
an invoice on every single deal that we
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do with them, and we will
add dollar for dollar the equipment, so
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maybe not the labor, but we'll
add the equipment dollar for dollar into the
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value of the vehicle. And the
best part is when we started doing this
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years ago, both west Aara and
Belko asked the same question, is whatever
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happens if we do, unfortunately have
to repull one of these vehicles. You
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know, we can't sell it at
auction. What does that look like?
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And every single Adaptive dealer has they've
come to us begging, hey, if
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you ever get one of these vehicles, please bring it back to us because
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we can resell it and we can't
find them at auction. So we've got
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a source that we can take them
to to offload the vehicle if we need
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to. Now, at the end
of the day, we haven't needed to.
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I think that this asset class is
actually very very safe and very low
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risk because these families need these vehicles
to survive. I've not had one ever
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even go delinquent. And I say
that knock on wit at the same time
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that I say that, But I've
been doing this for years and I've never
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had one delinquency because they need these
vehicles. So I don't think we would
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ever get into the position where the
Credit Union would have to repossess one.
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But if we did, we do
have an outlet by taking it back to
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the dealer if we needed to,
And that makes total sense. In that
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same regard, though, let's think
about like in the auto industry as a
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whole. They might not be going
delinquent, but they may get in an
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accident or have other type of itsues
such as job lost, debts, so
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on and so forth. Can you
talk a little bit about, like is
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there ancillary products that also come a
part of a debt of mode as well.
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Yeah, so just like any of
our other autos, we can sell
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any of our gap products, We
can sell our debt protection products onto these
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loans as well. When we do
those adjustments, like I said, adding
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that equipment is just the same as
having those additions onto a truck or you
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know, the running boards, things
like that. So it's all part of
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the vehicle. It's all documented,
We have it all in the file and
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because of that, we get an
accurate LTV and the coverage applies to that
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vehicle just like it would any other. So we definitely recommend those products.
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We do get all of our products
through CUNA, and we love our relationship
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with CUNA, which is now and
I keep saying CUNA, but it's true
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stage they just swapped over their name
recently, but we love our relationship with
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them. And they take great care
of our members with those That's great.
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That is an interesting asset class.
In another kudos to you your team of
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exploring that asset class that many many
people of course need, but you don't
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really think about it too much when
you're sitting in your chair. So,
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Jared, I think this is a
good spot to transition, as we always
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do. I like to close the
podcast out with let's call them three off
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the wall questions. Sure, So, the first being what is the latest
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either application or piece of technology that
you cannot live without? Sure? So
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I'm going to start from a personal
level. I am really big into Internet
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of Things and automation even at home, and so I use obviously home Kit
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through Apple products, but I really
love Home Assistant. And the reason is
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the Internet of Things is so new, and it's so goofy, and you
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have so many different products out there. They don't all talk to each other
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and they don't all work very well
together. And then things like Apple home
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Kit have built in the safety measures
that if you're doing automations when you leave
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the house or come home, it's
always asking you to confirm it and do
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you really want to open your garage? And it kind of it takes away
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the purpose of having the home automation
right to even change things like your thermostat.
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Are you sure you want to change
it? Yes, I'm sure I'm
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coming home. Using Home Assistant,
I've been able to go in and build
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a whole bunch of virtual switches,
and by using these switches, you kind
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of bypass what home kit protections are
out there, and so you can just
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do a switch that hey, Jared
just came home. It flips the switch,
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and then I run automations based on
those switches. So back to the
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boolean logic, which is what we
used to build our decision engine, which
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is really if this, then that
type of logic. I've been able to
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do the same thing and automate almost
everything in my house, and so I
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absolutely love it when it works,
and it works eighty five percent of the
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time, But that other five percent
of the time I'll troubleshooting and rebuilding it
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and making it work. So it's
something that I just I can't live without
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anymore. Now when it breaks,
Like do you have full access or do
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wife and kids also have full access? But they can't mess with it?
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Right? Yep, exactly right,
it's only me I'm the only one who
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can go and fix it. And
so, and I keep telling my wife,
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if there's something you would like to
have happen, you know, or
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that you'd like to do, let
me know. I can figure out a
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way to build it. And we
have found really creative ways to kind of
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chain the logic to make certain things
happen when you come home, when you
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leave here in Denver, when it
snows, you know, we've got some
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heat mats outside, stuff like that. And so building this logic into home
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assistant has been awesome. That's great. I like that. I definitely like
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that. I'm gonna have to look
into it. Fast forwarding question number two.
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Hopefully it's not shark oriented or it
maybe if you could switch jobs for
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anyone for a day, who would
it be and why, Without a doubt,
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it would be a Disney imagineer working
on park rides and the next theme
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park iterations. You can see me. I've got some Disney stuff. We
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are big Disney fans. We absolutely
love going to the Parts. That is
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our go to vacation. And I
really love the imagineer mentality of you know,
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yes and and just kind of building
off of things and just imagining what
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is possible and how do we solve
for it? And you know, they
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come up with some really cool technology. They've come up with some really cool
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tricks of you know, how they
do distractions and things like that with their
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rides that they have today, and
it just completely astounds me, and I
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want to learn more. And so
if I could do anything for a day,
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that would one hundred percent be it, And I'd want to learn all
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this tips and tricks and all the
secrets that they have going on behind the
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scenes. Running trend of more tech
focus and behind the scenes. I like
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it. And then I'll close with
with the last one. It doesn't need
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to be in the confine of consumer
lending, But what is one bold prediction
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for the future? Sure, So
looking forward, you know, if you
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would have asked me this about four
or five years ago, I would have
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been talking about autonoymous car so on
the cars that were self driving that were
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out there, you know, just
doing their own thing, like what Tesla's
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been doing. And you know,
there was a lot of rumors about Google
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or maybe even like a Facebook company
dropping a huge fleet into these major cities
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where they're autonomous and they don't have
anyone driving them, but you could ride
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share them and do all that.
I think COVID really derailed all that and
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took all the air out of that
opportunity there. So you know, I
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know, Apple's still working on a
car. I'm watching that one pretty closely.
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Google's working on a car, but
I don't think we're going to see
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it on that type of scale.
What I think though, happened at that
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same time that COVID happened, was
we saw a real surge in the bitcoin
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and the not just the cryptocurrency,
but the blockchain technology and blockchain really started
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coming to the forefront. And so
my bold prediction for the future is I
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really think credit unions and potentially even
banks, and it may even start with
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banks and then move to credit unions
will start to adopt blockchain technology and even
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abandon potentially abandoned their core systems.
Because blockchain is verified by you know,
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computers worldwide. Every transaction is multi
factor authenticated, but it's verified unanimously across
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the world. I think it's more
secure than what we've seen today with core
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00:25:14.160 --> 00:25:17.799
systems and obviously hackers getting into those, and I think we'll start to see
404
00:25:17.799 --> 00:25:21.000
a move towards that. Now,
will it be a full one hundred percent
405
00:25:21.319 --> 00:25:23.480
you know people are going all in
into that. Probably not, But I
406
00:25:23.480 --> 00:25:29.200
think it'll start easing its way into
things like titles, so anything from like
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00:25:29.319 --> 00:25:33.720
a auto title to a deed on
a house, and they'll be verifying all
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00:25:33.759 --> 00:25:37.880
those pieces of paper instead of filing
actual papers with the county. And then
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00:25:37.079 --> 00:25:41.359
I think from there it'll start moving
in even into core systems and into online
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00:25:41.400 --> 00:25:45.839
systems to verify transactions. That's an
interesting perspective, and I think it is
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00:25:45.880 --> 00:25:52.599
going to be a crawl, walk, jog run approach. Yeah, but
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00:25:52.680 --> 00:25:55.480
that's all going to be determined,
of course. I would think more around
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00:25:55.480 --> 00:25:59.559
how it's regulated, So it'll be
interesting to see how that space expands.
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00:26:00.119 --> 00:26:02.480
Well, Jared, again, thank
you for taking the time to join me
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00:26:02.519 --> 00:26:06.000
today. I really appreciated our conversation. Yeah, thank you so much for
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00:26:06.000 --> 00:26:10.160
having me. This has been great. Upstart partners with banks and credit unions
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