- This file was automatically generated by VIMEO 0 00:00:10.490 --> 00:00:13.190 All right. Thank you guys so much for tuning in today. 1 00:00:13.390 --> 00:00:18.310 I am excited because we are here at the Cent headquarters in California in 2 00:00:18.310 --> 00:00:22.910 their podcast studio with the man, the myth, the legend, the guy behind it all. 3 00:00:23.490 --> 00:00:26.990 Go ahead. Introduce yourself to the people that don't know you and what you do 4 00:00:26.990 --> 00:00:31.750 Here. I am Trey Markle. I am the VP of Sales and marketing for Centric Software, 5 00:00:31.930 --> 00:00:36.630 and we are a finance dedicated menu of FinTech 6 00:00:36.710 --> 00:00:39.470 products and services for the finance industry. 7 00:00:39.470 --> 00:00:42.390 Awesome. How long have you guys been in, in doing this for? 8 00:00:42.730 --> 00:00:46.510 So our parent company, which is what we call them, were founded in 2008, 9 00:00:46.510 --> 00:00:49.230 2009 timeframe. And then the Centre brand, 10 00:00:49.230 --> 00:00:53.350 which is kind of an offshoot from the parent company brand, uh, started in 2015. 11 00:00:53.380 --> 00:00:53.870 Alright. 12 00:00:53.870 --> 00:00:58.190 Right. So you've interacted with a lot of businesses in this industry. Mm-hmm. 13 00:00:58.410 --> 00:00:58.650 Um, 14 00:00:58.650 --> 00:01:02.470 do you think a lot of them do things alone and they don't have a CRM system in 15 00:01:02.470 --> 00:01:05.550 place or any type of system in place? Do they have something in place? 16 00:01:05.700 --> 00:01:06.910 What have, what's been your view? 17 00:01:07.050 --> 00:01:07.390 You know, 18 00:01:07.390 --> 00:01:12.310 it's funny because we definitely see a good chunk of the industry use some 19 00:01:12.310 --> 00:01:16.190 sort of software solution to manage their pipelines, manage their business, 20 00:01:16.200 --> 00:01:19.150 their teams involved in, in, in, in the software platform. 21 00:01:19.690 --> 00:01:20.750 But you would be shocked, 22 00:01:21.090 --> 00:01:25.710 we also see a lot of decent sized firms that are still on Excel spreadsheets 23 00:01:25.890 --> 00:01:29.670 and are still handing paper leads to their reps every single day. And, you know, 24 00:01:29.670 --> 00:01:32.630 some people will sit there and say, oh, well that's the safest way to do it. 25 00:01:32.630 --> 00:01:35.710 Yeah. You can't steal something that's not in a software system. And, you know, 26 00:01:35.990 --> 00:01:39.070 security's always a, a big part of the conversation when it comes to, 27 00:01:39.090 --> 00:01:43.350 to software, which is understandable. Absolutely. Um, but what's wild to me, 28 00:01:43.620 --> 00:01:46.710 it's like having a dishwasher in your house and washing your dishes by hand. 29 00:01:47.250 --> 00:01:49.830 It just, it just doesn't make a whole ton of sense to me. Now, I, I'm, 30 00:01:49.970 --> 00:01:54.550 I'm biased, I come from tech, but we see a lot of well implemented software. 31 00:01:54.610 --> 00:01:57.230 We see a lot of very poorly implemented software, 32 00:01:57.290 --> 00:01:59.950 and we see more than you'd think on no 33 00:02:00.190 --> 00:02:02.430 Software. So, all right. Let's talk about efficiency. 34 00:02:02.490 --> 00:02:05.550 And you've also worked with different industries. Mm-hmm. Uh, 35 00:02:05.550 --> 00:02:08.790 kind of helping them out. So with the alternative finance industry, 36 00:02:09.050 --> 00:02:10.390 are we behind, 37 00:02:10.650 --> 00:02:14.430 are we up to par or where exactly are we, 38 00:02:14.430 --> 00:02:19.030 would you say small business finance, you know, are, are we ahead of everyone? 39 00:02:19.030 --> 00:02:20.150 Where, where, where do we fall? 40 00:02:20.530 --> 00:02:23.790 So I think the consumer finance industry probably has a bit of a leg up when it 41 00:02:23.790 --> 00:02:26.670 comes to efficiency, automation, tech offerings, 42 00:02:26.740 --> 00:02:30.870 just because they have to deal with so much volume on a daily basis. 43 00:02:31.170 --> 00:02:34.310 And if you're not, if you can't handle that volume, you're, you're, 44 00:02:34.310 --> 00:02:37.470 you're leaving money on the table. In the corporate finance space, you know, 45 00:02:37.500 --> 00:02:40.190 obviously everyone wants to do volume cuz you make more money, 46 00:02:40.530 --> 00:02:43.110 but in our country there's only so many small business owners. Yeah. 47 00:02:43.130 --> 00:02:43.630 On top of that, 48 00:02:43.630 --> 00:02:46.750 there's only so many small business owners that are fundable on top of that. 49 00:02:46.750 --> 00:02:50.430 There's only so much money each one of those fundable business owners can take. 50 00:02:50.600 --> 00:02:54.030 Right. So it's not a massive volume thing though. 51 00:02:54.030 --> 00:02:57.910 You see corporate finance companies do volume, but, you know, even with the, 52 00:02:58.130 --> 00:03:01.900 the lack of volume on corporate finance over consumer finance, I, 53 00:03:01.980 --> 00:03:03.300 I I think we're pretty good. I mean, 54 00:03:03.300 --> 00:03:05.420 if you look at some of the tech platforms that are out there, 55 00:03:05.690 --> 00:03:08.460 some of the competitors of Centra, some of the bolt-ons, I mean, 56 00:03:08.460 --> 00:03:11.620 obviously Salesforce has a big name and, you know, multiple industries. 57 00:03:11.650 --> 00:03:16.140 There's a lot of really great modern day solutions out there that help make 58 00:03:16.340 --> 00:03:19.580 decisions, that help manage pipelines, that help, uh, you know, 59 00:03:19.690 --> 00:03:22.780 brokers and in-house teams be more efficient. So, I mean, 60 00:03:22.780 --> 00:03:25.780 I gotta be honest with you, with all the demos that I've seen, we're, 61 00:03:25.780 --> 00:03:28.300 we're doing pretty good. I mean, the industry I think is, is good. 62 00:03:28.320 --> 00:03:32.180 Now we've got introduction to AI and we're gonna see kind of what that does to 63 00:03:32.180 --> 00:03:34.500 the industry. So it's, it's, it's a wild time for 64 00:03:34.500 --> 00:03:36.420 Sure. Yeah. So you've seen a lot of data. 65 00:03:36.640 --> 00:03:39.540 So what trends do you think would surprise people nowadays? 66 00:03:39.940 --> 00:03:43.700 I think from a shocking standpoint, the, the, the data first, 67 00:03:43.840 --> 00:03:47.060 how many business owners are there to actually call on? How many are fundable? 68 00:03:47.060 --> 00:03:48.100 And then on top of that, 69 00:03:48.330 --> 00:03:51.260 when you start looking at default rates across the portfolio and you start 70 00:03:51.260 --> 00:03:52.460 looking at, you know, 71 00:03:52.460 --> 00:03:56.260 you cross-reference trends in the economy or what the current administration is 72 00:03:56.260 --> 00:03:59.940 doing, it's actually very relieving. It's not as bad as people would think, 73 00:03:59.960 --> 00:04:03.300 you know, like, oh gosh, you know, we're in this crazy time, yada, yada yada. 74 00:04:04.060 --> 00:04:07.300 Businesses are doing business businesses are hiring employees. They're, they're, 75 00:04:07.300 --> 00:04:10.180 they're working with vendors, they want more partnerships and, you know, 76 00:04:10.180 --> 00:04:13.660 it's easy to kind of read the news and look at what's going on and kind of get 77 00:04:13.660 --> 00:04:16.300 down. But it's, it's humming and I, I I, 78 00:04:16.420 --> 00:04:19.660 I can't unfortunately be forthcoming with certain information in our portfolio 79 00:04:19.760 --> 00:04:20.593 for our customers, 80 00:04:20.600 --> 00:04:23.860 but if you were to look at some of the data sets that we see portfolio wide, 81 00:04:23.860 --> 00:04:27.500 at least on the centric side, um, business, business and borrowing is, 82 00:04:27.500 --> 00:04:28.900 is happening. Yeah. It's flowing. 83 00:04:28.900 --> 00:04:31.260 Yeah. So you're in the software and tech space. 84 00:04:31.640 --> 00:04:34.300 So when it comes to chat G P T and ai, 85 00:04:34.680 --> 00:04:37.180 is this something that people should be scared of? 86 00:04:37.240 --> 00:04:41.140 Is it an opportunity or is it even gonna be relevant at all in this industry? 87 00:04:41.210 --> 00:04:45.060 Yeah, absolutely. You know, look, I think the whole world is scared about ai. 88 00:04:45.460 --> 00:04:46.130 I think, you know, 89 00:04:46.130 --> 00:04:50.020 there's not a ton of light at the end of the tunnel because that light just 90 00:04:50.020 --> 00:04:52.660 hasn't been, been understood or created yet. Yeah. 91 00:04:52.660 --> 00:04:54.500 So no matter what industry you're in, I think, you know, 92 00:04:55.080 --> 00:04:56.940 the general public is can we control it? 93 00:04:57.120 --> 00:05:00.260 Is it gonna have a mind of its own someday? Is it gonna, you know, 94 00:05:00.450 --> 00:05:03.660 destroy us as a human kind? I mean, those are obviously a little extreme, right? 95 00:05:03.760 --> 00:05:05.740 But that's the fear that, the fear is that it's, 96 00:05:05.810 --> 00:05:08.740 it's uncontrollable and it's just gonna be far too powerful and we can't, 97 00:05:08.820 --> 00:05:10.940 we can't control it. Now on the other side, 98 00:05:11.430 --> 00:05:14.660 let's assume for two seconds it is under control. We can restrain it. 99 00:05:14.790 --> 00:05:19.020 There are some incredible applications for AI and chat gpt in the corporate 100 00:05:19.020 --> 00:05:21.940 finance industry. Um, two areas that I can think of. 101 00:05:21.940 --> 00:05:26.060 First on the front end was sales reps. Chat. G PT is wonderful. 102 00:05:26.120 --> 00:05:28.420 Now I know it's data is limited up to, you know, 103 00:05:28.420 --> 00:05:32.060 2021 or 2020 or something like that. Yeah. But, um, you know, 104 00:05:33.060 --> 00:05:36.900 business borrowers will gravitate towards intelligence, right? 105 00:05:36.960 --> 00:05:38.020 So if you're a sales rep, 106 00:05:38.410 --> 00:05:42.940 it's a lot to ask a sales rep to understand all the details of every SIC code 107 00:05:43.000 --> 00:05:45.980 out there and every industry out there. Yeah. That's a tall order. You gotta, 108 00:05:46.000 --> 00:05:48.260 you gotta know a lot of information about those industries. 109 00:05:48.520 --> 00:05:50.500 And when you're selling a product into those industries, 110 00:05:50.520 --> 00:05:53.820 if you can type something into chat gpt real quick and get a pretty decent 111 00:05:53.880 --> 00:05:55.940 answer and have a more dynamic, 112 00:05:56.170 --> 00:05:59.620 have a more intelligent conversation with the borrower on the other side of the 113 00:05:59.620 --> 00:06:01.700 phone, Hey, look, that's, that's powerful. 114 00:06:02.080 --> 00:06:03.740 So I think when it comes to sales scripts, 115 00:06:03.740 --> 00:06:06.780 when it comes to small data points from a sales perspective, 116 00:06:06.810 --> 00:06:10.780 that can really help you guide that conversation down the right path. Yeah. I, 117 00:06:10.860 --> 00:06:13.340 I I think that's powerful. And that's on the chat G B T side, 118 00:06:13.570 --> 00:06:16.980 when it comes to AI for underwriters, for example, 119 00:06:17.060 --> 00:06:20.740 underwriters have to process just an immense amount of data and they're pulling 120 00:06:20.740 --> 00:06:23.540 that data from a lot of different places. Yeah. I'll never forget, 121 00:06:23.580 --> 00:06:26.140 I was in New York a few years ago and I went to a, 122 00:06:26.180 --> 00:06:29.540 a big mortgage office there to talk about software and they built their 123 00:06:29.540 --> 00:06:33.340 underwriting model manually pulling in Yeah. All these different data points. 124 00:06:33.440 --> 00:06:34.860 And they discovered that, you know, 125 00:06:34.860 --> 00:06:38.620 if it's Tuesday and the grass is green and you've got a yellow car and you know, 126 00:06:39.120 --> 00:06:42.500 all these different items that your chances of defaulting on a mortgage went up 127 00:06:42.500 --> 00:06:45.980 by like 0.9%. It was wild. It was the most wildest thing I've ever seen. 128 00:06:46.360 --> 00:06:51.340 So I think ai, when it comes to gathering data, helping make decisions, 129 00:06:52.300 --> 00:06:54.940 allowing for your risk model to evolve over time. Yeah. 130 00:06:54.940 --> 00:06:58.380 Based on what you see in ai, helping with that, that can be really powerful. 131 00:06:58.720 --> 00:06:59.320 Now, 132 00:06:59.320 --> 00:07:04.220 do I promote automating a hundred percent of your decisioning via 133 00:07:04.440 --> 00:07:08.020 ai? Absolutely not. You take the human element out of your business, 134 00:07:08.040 --> 00:07:10.380 you're gonna leave money on the table and you're gonna leave relationships 135 00:07:10.380 --> 00:07:11.213 behind. 136 00:07:11.450 --> 00:07:14.020 Yeah. So let's talk about Bitcoin. Okay. All right. 137 00:07:14.020 --> 00:07:16.700 So Bitcoin almost 15 years old now. Mm-hmm. 138 00:07:16.840 --> 00:07:20.900 And do you think that there will ever be a time that blockchains and smart 139 00:07:21.100 --> 00:07:22.460 contracts are used in this business? 140 00:07:22.460 --> 00:07:26.580 Or is it one of those things that there could be a value in them or have they 141 00:07:26.580 --> 00:07:28.260 already been used? 142 00:07:29.040 --> 00:07:33.300 So I think we've got two different conversations here. You've got blockchain, 143 00:07:33.570 --> 00:07:37.660 hard stop on that, and then you've got cryptocurrency, right? It is absolutely, 144 00:07:37.720 --> 00:07:41.860 and 100% a very valuable tool for the future and for now, right? Yeah. 145 00:07:41.870 --> 00:07:44.020 Smart contracts, holding stuff, you know, 146 00:07:44.020 --> 00:07:47.900 in a secure chain that can't be edited in the future. Um, here at CenTrak, 147 00:07:48.000 --> 00:07:52.140 we have a lot of conversations internally about doing lender submissions into 148 00:07:52.140 --> 00:07:54.900 the chain. Okay. So we can always track who's, who did the, 149 00:07:55.120 --> 00:07:57.860 the deal first document storage going into the chain, 150 00:07:58.040 --> 00:08:00.420 our e-sign technology going into the chain, right? 151 00:08:00.420 --> 00:08:03.620 There's been a lot of conversations internally. Is it too soon? 152 00:08:03.800 --> 00:08:06.740 Is it the right time? Is it more of just a marketing thing? Yeah. Right. 153 00:08:06.880 --> 00:08:10.380 Is it a security thing when it comes to corporate finance, theft, 154 00:08:10.570 --> 00:08:14.100 data theft is a massive conversation. Yeah. It's all over the place, right? 155 00:08:14.430 --> 00:08:18.540 We're talking about barcode technology and our documents. Is it bulletproof? No. 156 00:08:18.540 --> 00:08:22.700 Will it make it far more difficult to, to have theft? Absolutely. Yeah. Right. 157 00:08:22.800 --> 00:08:24.540 So barcode technology is something we're looking at. 158 00:08:24.630 --> 00:08:27.620 Blockchain is something we're looking at to make sure that we can always 159 00:08:27.900 --> 00:08:32.300 reference back an unedited date and timestamp to say, okay, this ISO did this, 160 00:08:32.300 --> 00:08:34.180 this broker did this, this lender did this, 161 00:08:34.200 --> 00:08:38.460 and we can reference it easily right through the platform. So I think the chain, 162 00:08:38.680 --> 00:08:39.000 the, 163 00:08:39.000 --> 00:08:42.980 the blockchain technology has tons of wonderful use cases for the world today 164 00:08:42.980 --> 00:08:47.100 from a security standpoint and making sure things move forward in the right way. 165 00:08:47.680 --> 00:08:51.540 Cryptocurrency, whole nother conversation on, on, 166 00:08:51.560 --> 00:08:54.860 on where that's gonna go and how that's gonna play a role in the world. 167 00:08:55.080 --> 00:08:57.020 Is the government gonna come out with their own currency? 168 00:08:57.260 --> 00:09:00.260 A lot of people would say yes. A lot of people would say no. Yeah. Um, 169 00:09:00.260 --> 00:09:02.980 Bitcoin going up and then coming down and then going back up again. 170 00:09:03.380 --> 00:09:06.180 I think it's yet to be seen Okay. How the apps, the app, the, 171 00:09:06.360 --> 00:09:09.260 the actual cryptocurrency will kind of play out. Mm-hmm. Um, 172 00:09:09.300 --> 00:09:14.140 I can tell you right now, I think on the centric side, it's too soon for us. 173 00:09:14.140 --> 00:09:17.780 Yeah. I think we need to see more stability to really go after it. 174 00:09:17.780 --> 00:09:20.140 We don't have a ton of clients coming to us saying, 175 00:09:20.340 --> 00:09:24.140 I wanna lend in cryptocurrency. Yeah. Right. That's how I wanna lend. 176 00:09:24.400 --> 00:09:28.100 And then is it an amortization schedule? Is it a factorization schedule? Right. 177 00:09:28.120 --> 00:09:31.260 Is it an apr? You know, what does it look like? So, um, that, 178 00:09:31.260 --> 00:09:32.100 that's yet to be seen. 179 00:09:32.440 --> 00:09:36.540 So listen, you have done a lot in this industry. You, you're very accomplished. 180 00:09:37.010 --> 00:09:38.060 What keeps you up at night? 181 00:09:39.400 --> 00:09:43.780 Oh, great question. So many things. So many things keep me up at night. 182 00:09:44.640 --> 00:09:48.420 Um, you know, we, we really, 183 00:09:48.420 --> 00:09:53.140 really spend a lot of time thinking about what's best for the portfolio. 184 00:09:53.280 --> 00:09:55.180 Mm-hmm. We have clients that call us all the time and say, 185 00:09:55.180 --> 00:09:55.900 we'd like to have this, 186 00:09:55.900 --> 00:09:58.820 and we'd love to have this and this one-off case and this use case. Look, we're, 187 00:09:58.820 --> 00:10:02.060 we only have so many resources as a software company, as, as we grow, 188 00:10:02.060 --> 00:10:05.300 like any company, right. Even the big Fortune 500 companies only can do so much. 189 00:10:05.800 --> 00:10:06.740 So we're, 190 00:10:06.910 --> 00:10:10.620 we're trying to make sure that we're doing the right thing in the industry the 191 00:10:10.620 --> 00:10:11.500 right way. Mm-hmm. 192 00:10:11.600 --> 00:10:15.020 And sometimes the right thing the right way takes a long time, unfortunately. 193 00:10:15.050 --> 00:10:18.100 Yeah. Right. The bandaid fixes and the quick knee jerk reactions, 194 00:10:18.100 --> 00:10:18.933 those are easy. 195 00:10:18.960 --> 00:10:21.540 And we've done some of those in the past and sometimes they've been great. 196 00:10:21.940 --> 00:10:24.100 A lot of times they've, they've come back to hurt us, right? Yeah. 197 00:10:24.130 --> 00:10:26.780 Just do this quick fix hard code, this situation. 198 00:10:26.780 --> 00:10:30.580 And when you're a tech employee and you work for a tech company and you 199 00:10:30.580 --> 00:10:31.700 understand technology, 200 00:10:31.770 --> 00:10:35.700 your underlying infrastructure of that technology is a massive piece on whether 201 00:10:35.700 --> 00:10:38.380 or not you can scale and grow. So, you know, 202 00:10:38.380 --> 00:10:40.700 you build a two story house and the foundation below that, 203 00:10:40.700 --> 00:10:43.100 then all of a sudden you wanna put six more stories on your house. Yeah. 204 00:10:43.120 --> 00:10:47.180 And the foundation's not ready for it. Yeah. That's a problem. Right. And look, 205 00:10:47.180 --> 00:10:49.900 we found ourselves in, in, in that problem, especially the last few years. 206 00:10:50.280 --> 00:10:52.420 So keeping up at night is what are we doing? 207 00:10:52.640 --> 00:10:54.980 What's the combination of giving clients what they want, 208 00:10:55.240 --> 00:10:59.300 giving customers the new technology, the chat, GBTs, theis, the, the, you know, 209 00:10:59.300 --> 00:11:01.660 how do you maintain a whole bunch of integrations and make sure those 210 00:11:01.660 --> 00:11:03.940 integrations are used and being monetized correctly? 211 00:11:04.570 --> 00:11:09.180 What is the proper path forward? Sometimes saying no to our customers. Yeah. 212 00:11:09.180 --> 00:11:10.340 It's, it's hard. It's tough, 213 00:11:10.720 --> 00:11:14.140 but we have to do it because we're spending time building infrastructure that 214 00:11:14.140 --> 00:11:18.020 you will appreciate a year from now. And that's what keeps me up at night. I 215 00:11:18.020 --> 00:11:21.140 Love it. I love it. Great response, man. Yeah. All right, Trey, 216 00:11:21.140 --> 00:11:24.340 thank you so much for joining us and for chatting with us about all these 217 00:11:24.340 --> 00:11:27.820 different things because I know what you said here will be of knowledge not only 218 00:11:27.840 --> 00:11:29.100 to me, but to the people watching 219 00:11:29.100 --> 00:11:31.780 This. No, it's my pleasure, Johnny. Thank you so much. We love to bank, 220 00:11:31.800 --> 00:11:32.460 we love you guys. 221 00:11:32.460 --> 00:11:35.380 Always a great supporter and it's always wonderful having you guys down in 222 00:11:35.500 --> 00:11:37.300 southern California. It doesn't, doesn't happen very often. 223 00:11:37.360 --> 00:11:38.540 So I love it. It's been great. 224 00:11:38.770 --> 00:11:40.420 Weather's been great and you guys have been great. 225 00:11:40.430 --> 00:11:41.940 Thank you so much for having me, man. No problem. Thank you, man. 226 00:11:41.980 --> 00:11:42.580 I appreciate it. Appreciate.