The B2B Podcast Index
Beyond the Transaction

2026 Predictions: Using B2B Payments as a Strategic Lever for Growth

Beyond the Transaction · 2026-01-21 · 33 min

Substance score

39 / 100

Five dimensions, 20 points each

Insight Density8 / 20
Originality7 / 20
Guest Caliber8 / 20
Specificity & Evidence10 / 20
Conversational Craft6 / 20

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

8 / 20

A handful of genuinely useful specifics appear (dormancy prediction accuracy, 92 underwriting data points, VEDA 2030 mandate, France 45-day term norms) but they are surrounded by extended platitudes ('payments as a strategic lever,' 'one size doesn't fit all,' 'AI helps with fraud') that most B2B operators already know. The ratio of novel claims to filler is low for a 33-minute episode.

our product team has figured out a way to predict dormancy with customers... I think it's 88% or 89% likelihood that an account can go dormant based on the data that we have
our credit team is leveraging 92 data points of a single account when we underwrite

Originality

7 / 20

The European regulatory nuance (VEDA, 27-country fragmentation) and the dormancy prediction product feature are the freshest angles; everything else - AI augments humans, payments should be strategic not back-office, customer segmentation matters - is recycled industry messaging with no contrarian or first-principles framing.

There's regulation that's called VEDA, which basically says by 2030, there needs to be a more generic way of handling E-invoices
Europe is not one country. Europe is 27 different countries

Guest Caliber

8 / 20

Both speakers hold senior titles (CCO and regional head) at a relevant fintech and have genuine practitioner depth, but they are internal TreviPay employees appearing on TreviPay's own podcast - functioning primarily as promotional voices rather than independent operators with neutrally verifiable track records.

I am the Chief Commercial Officer at TreviPay, and my team and I are responsible for all of our clients around the world
I head up TreviPay in the MAIA

Specificity & Evidence

10 / 20

A small cluster of concrete numbers lifts the episode above pure abstraction (88-89% dormancy prediction, 92 underwriting data points, 45-day France payment terms, VEDA 2030 deadline), but all evidence is self-referential and promotional - no external client names, no comparative benchmarks, no dollar volumes or revenue impact figures.

I think it's 88% or 89% likelihood that an account can go dormant based on the data that we have
our credit team is leveraging 92 data points of a single account when we underwrite

Conversational Craft

6 / 20

The host asks broad, pre-set questions and never challenges a claim, follows up on a number, or probes a contradiction; the conversation is structurally a friendly PR tour for TreviPay's prediction report, exemplified by the host pre-validating answers before they are given.

And I have no doubt that you guys will be able to answer it so easily
Speaking of scale, it wouldn't be 2,026 predictions without talking about the thing that we just can't stop talking about even if we want to and we're tired of it

Conversation analysis

Computed from the transcript - who did the talking, and the verbal tics along the way.

Filler words

so55right37like19I mean13obviously9kind of8basically8you know3sort of1actually1

Episode notes

Clint Sears speaks with Martha Salinas, Chief Commercial Officer, and Inez Berkhof, Managing Director EMEA, to unpack TreviPay’s 2026 predictions for B2B invoicing and payments. They discuss why payments are becoming core finance infrastructure that powers smoother buyer experiences, stronger controls, and new opportunities to differentiate. The episode also explores how AI will reshape credit, personalization, fraud prevention, and how enterprises can turn regional compliance complexity into a scalable advantage worldwide.

Full transcript

33 min

Transcribed and scored by The B2B Podcast Index.

1 01:00:00,000 - > 01:00:12,666 Speaker: (Music) Thanks everyone for joining us today. 2 01:00:13,666 - > 01:00:20,375 SoI'm Clint Sears and we recently put together our 2026 predictions for B2B 3 01:00:20,375 - > 01:00:24,958 payments and we had experts inside and outside of TreviPay give their best 4 01:00:24,958 - > 01:00:30,083 efforts to try and figure out what's coming in the near future in 2026, and we 5 01:00:30,083 - > 01:00:34,625 thought it would be great to bring two of our biggest experts in the house with us 6 01:00:34,625 - > 01:00:40,166 today to break down a little bit about what we learned and just expand more on 7 01:00:40,166 - > 01:00:41,375 their own thoughts on the subject. 8 01:00:41,375 - > 01:00:44,875 I'll have our guests introduce themselves. 9 01:00:44,875 - > 01:00:45,958 Sure, Clint. 10 01:00:45,958 - > 01:00:47,125 Thank you for having me. 11 01:00:47,125 - > 01:00:48,625 So my name is Inez Berkhof. 12 01:00:48,625 - > 01:00:50,875 I head up TreviPay in the MAIA. 13 01:00:51,125 - > 01:00:55,375 That basically means that I'm responsible for all our clients in the MAIA region 14 01:00:55,666 - > 01:00:57,791 and help them grow their business. 15 01:00:57,791 - > 01:00:58,333 Awesome. 16 01:00:58,333 - > 01:00:59,000 Yeah, Martha. 17 01:00:59,000 - > 01:01:00,375 Hi, Clint and Ines. 18 01:01:00,375 - > 01:01:02,375 I'm Martha Salinas. 19 01:01:02,375 - > 01:01:07,416 I am the Chief Commercial Officer at TreviPay, and my team and I are 20 01:01:07,416 - > 01:01:10,791 responsible for all of our clients around the world. 21 01:01:11,125 - > 01:01:13,500 It's great to be here with both of you. 22 01:01:13,500 - > 01:01:13,958 Awesome. 23 01:01:13,958 - > 01:01:14,833 Yeah. 24 01:01:15,208 - > 01:01:19,750 So we'll dig in further and get into the details, but I think it'd just be easy to 25 01:01:19,750 - > 01:01:21,333 go over top level stuff. 26 01:01:21,625 - > 01:01:26,416 So basically, the big question, what trends do you guys foresee in B2B 27 01:01:26,416 - > 01:01:29,375 invoicing and payments by 2026 for yourself? 28 01:01:29,375 - > 01:01:33,375 We're trying to be polite with each other. 29 01:01:33,375 - > 01:01:34,708 No, I'm not. 30 01:01:34,708 - > 01:01:35,166 I'm not. 31 01:01:35,166 - > 01:01:36,958 Martha, he knows. 32 01:01:37,500 - > 01:01:41,875 So yeah, Martha, do you want to jump in and feel free to talk over each other and 33 01:01:41,875 - > 01:01:44,291 scream at each other, and we'll work it out. 34 01:01:45,000 - > 01:01:47,000 Well, I don't know if we're going to scream at each other. 35 01:01:47,000 - > 01:01:50,750 I like each other, so let's try to be nice about it. 36 01:01:51,166 - > 01:01:56,750 Yeah, I am very excited about 2026, because I see several things coming that 37 01:01:56,750 - > 01:02:01,333 I am excited about that I think are going to make, 38 01:02:01,333 - > 01:02:04,041 especially the relationship with our clients, even more powerful. 39 01:02:04,375 - > 01:02:08,125 I don't know how you feel about this in us, but very excited about it. 40 01:02:08,375 - > 01:02:16,333 I think I see three pillars of things that are beginning to happen in 2025 and 41 01:02:16,333 - > 01:02:22,458 that have been kind of like percolating the last few years and that are going to 42 01:02:22,458 - > 01:02:24,958 be even more important in 2026. 43 01:02:25,791 - > 01:02:32,916 So one is in the finance becoming more part of the infrastructure. 44 01:02:33,541 - > 01:02:35,500 And let me tell you what I mean by that. 45 01:02:36,166 - > 01:02:41,500 I think that throughout the years, the last couple of years, payments were an 46 01:02:41,500 - > 01:02:46,500 important function of what the finance teams were doing and even 47 01:02:46,500 - > 01:02:48,125 what the sales teams were doing. 48 01:02:48,583 - > 01:02:52,708 But it was kind of an additional feature, if that makes sense. 49 01:02:52,750 - > 01:02:57,750 It was just one more module in what embedded finance met. 50 01:02:58,458 - > 01:03:05,375 And I think that payments are becoming more and more a foundational layer of 51 01:03:05,375 - > 01:03:07,791 everything that happens in finance. 52 01:03:07,791 - > 01:03:12,708 So reconciliation, terms, just everything 53 01:03:12,708 - > 01:03:14,208 that has to do with payments. 54 01:03:14,208 - > 01:03:22,000 And it's basically to create a frictionless experience, not only for the 55 01:03:22,000 - > 01:03:26,750 finance team, but also for the buyers and the people they're serving. 56 01:03:27,791 - > 01:03:33,416 And I'm very excited about that because it's not only what happens with the 57 01:03:33,416 - > 01:03:37,416 finance team, but it's also what happens even at the point of sale. 58 01:03:37,708 - > 01:03:44,250 And I think that even the point of sale was seen as kind of separate from the 59 01:03:44,250 - > 01:03:48,500 order to cash process very much, I think, in 2026. 60 01:03:49,125 - > 01:03:55,833 It's going to become the only channel solution of embedded payments. 61 01:03:56,708 - > 01:04:01,958 And then, unfortunately, I also think that fraud is going to be a big topic, 62 01:04:01,958 - > 01:04:04,333 especially tied to AI. 63 01:04:05,166 - > 01:04:10,041 And yeah, all of this means that payments become a strategic lever, 64 01:04:10,041 - > 01:04:18,291 not only for efficiency, but also for growth as we think about how 65 01:04:18,291 - > 01:04:20,291 to take care of the buyer. 66 01:04:21,125 - > 01:04:25,375 And I'll stop there because I know Ines is going to have many more 67 01:04:25,375 - > 01:04:27,166 intelligent things to say. 68 01:04:27,166 - > 01:04:30,583 No, no, I can only build on what you just said, Martha. 69 01:04:31,166 - > 01:04:36,541 And the way I think about it is let me back up a step for a second because 70 01:04:36,541 - > 01:04:42,500 payments, to your point, used to be a separate feature from my perspective, 71 01:04:42,500 - > 01:04:43,666 from a European perspective. 72 01:04:44,375 - > 01:04:46,000 Payments is related to invoicing. 73 01:04:46,916 - > 01:04:52,333 And that is probably fueled by regulatory things that are happening in Europe. 74 01:04:53,125 - > 01:04:58,708 But what's more, I think there's today more emphasis and awareness by both 75 01:04:58,708 - > 01:05:05,500 commercial teams and finance teams that having a robust invoicing and payments 76 01:05:05,833 - > 01:05:10,416 strategy, let's say, gives you the opportunity to distinguish yourselves. 77 01:05:10,416 - > 01:05:14,208 It gives you the competitive edge in the marketplace. 78 01:05:14,666 - > 01:05:20,333 Because if you figure it out well, then your buyers will probably come more 79 01:05:20,333 - > 01:05:26,000 natural to you, will start to come back and spend over and over again, because 80 01:05:26,000 - > 01:05:27,000 you make their lives easy. 81 01:05:28,041 - > 01:05:30,541 So that's what I'm sensing in Europe. 82 01:05:30,541 - > 01:05:34,166 There's a lot of emphasis on regulatory stuff. 83 01:05:34,166 - > 01:05:39,791 But it combines the invoicing and the payments together. 84 01:05:40,583 - > 01:05:46,083 And it's all about how can we figure it out such that the buyer benefits 85 01:05:46,083 - > 01:05:50,958 basically from the pain going that regulation brings. 86 01:05:51,666 - > 01:05:56,458 But in the end, as a B2B seller, if you do figure it out and you have that 87 01:05:56,458 - > 01:06:01,750 competitive edge, obviously, you have your front row in the competitive game, 88 01:06:01,750 - > 01:06:02,500 let's say, in the marketplace. 89 01:06:02,500 - > 01:06:04,375 So that's what I'm seeing. 90 01:06:04,375 - > 01:06:06,833 There's a lot of buzz around compliance. 91 01:06:07,041 - > 01:06:11,041 And how can we make it a competitive advantage to figure that out? 92 01:06:11,041 - > 01:06:11,708 Perfect. 93 01:06:11,708 - > 01:06:15,000 And so, yeah, that kind of keys up a follow-up for me. 94 01:06:15,000 - > 01:06:19,291 As we take care of our buyers, and we're seeing this as a strategic lever for 95 01:06:19,291 - > 01:06:23,791 efficiency and growth, how do we take care of the global enterprise companies? 96 01:06:24,083 - > 01:06:27,083 And how can a company like TrieriPay really handle that as 97 01:06:27,083 - > 01:06:28,541 compliance becomes a bigger issue? 98 01:06:28,541 - > 01:06:30,666 A very good question, Clint. 99 01:06:30,666 - > 01:06:36,250 I guess even more so for large enterprise sellers and buyers. 100 01:06:36,958 - > 01:06:41,500 This is front and center in their strategy and in their minds, because, 101 01:06:41,500 - > 01:06:44,583 obviously, regulation has an impact. 102 01:06:45,000 - > 01:06:50,125 And the bigger you are as a company, the more impact it has, and the more robust 103 01:06:50,125 - > 01:06:51,583 you have to think about strategy. 104 01:06:52,375 - > 01:06:57,416 And that goes not only for the seller, but also for the buyer, because you 105 01:06:57,416 - > 01:06:59,625 probably receive more invoices. 106 01:06:59,625 - > 01:07:02,791 You have to make more payments and stuff like that. 107 01:07:03,375 - > 01:07:07,500 So I think the impact, predominantly, on enterprise sellers and 108 01:07:07,500 - > 01:07:11,041 buyers is the - how do I say that? 109 01:07:11,041 - > 01:07:17,583 The way companies are thinking about, OK, how can I make my life easy from an 110 01:07:17,583 - > 01:07:18,541 invoicing perspective? 111 01:07:18,541 - > 01:07:22,083 How can I do it such that it's standardized on the 112 01:07:22,083 - > 01:07:24,333 seller side, but not too rigid? 113 01:07:24,666 - > 01:07:30,500 Because if I've got an enterprise buyer who likes or needs customization, again, 114 01:07:30,500 - > 01:07:32,083 I want to have a competitive edge. 115 01:07:32,833 - > 01:07:38,416 I want to be able to adjust, let's say, my invoicing process in a way that the 116 01:07:38,416 - > 01:07:43,875 buyer actually can handle and brush that invoice in a smooth way, doing all the 117 01:07:43,875 - > 01:07:48,000 checks and balances that large enterprise buyers typically do, offering the 118 01:07:48,000 - > 01:07:52,416 opportunity to simply manage disputes and stuff like that. 119 01:07:52,625 - > 01:07:56,875 So I think at the enterprise level, there's even more pain. 120 01:07:57,208 - > 01:08:00,666 I don't know if pain is the right word here, but definitely consideration about 121 01:08:00,666 - > 01:08:02,333 how to do this right. 122 01:08:03,125 - > 01:08:07,791 Because, yeah, like I said, if the strategy is done well, then the impact 123 01:08:07,791 - > 01:08:10,916 will be big, both for the enterprise center as well as for 124 01:08:10,916 - > 01:08:11,916 the enterprise buyer. 125 01:08:11,916 - > 01:08:14,250 There's a lot at stake, in my opinion. 126 01:08:14,916 - > 01:08:20,125 Yeah, Ines, if I can add to what you're saying, but it's also very much about 127 01:08:20,125 - > 01:08:22,082 customer segmentation. 128 01:08:22,875 - > 01:08:28,791 I think that that's something that offered, I think, especially sellers 129 01:08:28,791 - > 01:08:30,666 forget a little bit. 130 01:08:30,666 - > 01:08:36,875 I don't want to say forget that it's - people don't realize the importance of 131 01:08:36,875 - > 01:08:38,332 customer segmentation. 132 01:08:38,332 - > 01:08:42,582 Because when it comes to payments, one size doesn't fit all. 133 01:08:43,041 - > 01:08:47,207 And absolutely, it doesn't matter how efficient and great your processes are. 134 01:08:47,666 - > 01:08:52,082 If you don't think a little deeper about customer segmentation, you're not going 135 01:08:52,082 - > 01:08:55,791 to be able to take care of the needs of your customers. 136 01:08:55,791 - > 01:08:57,207 And I'll give you an example. 137 01:08:57,457 - > 01:09:02,750 When you talk about an SMB, I mean, what they want is fast install approval, 138 01:09:02,750 - > 01:09:06,457 just like zero touch. 139 01:09:06,457 - > 01:09:10,457 The ECS is the most efficient. 140 01:09:10,457 - > 01:09:15,791 But when it comes to the large global enterprise buyers that you're asking 141 01:09:15,791 - > 01:09:20,625 about, Clint, they have very complex processes. 142 01:09:21,125 - > 01:09:23,250 And it's because they need controls. 143 01:09:23,750 - > 01:09:29,125 They need capabilities that SMB customer is not going to meet. 144 01:09:30,582 - > 01:09:35,875 And then even them, because they have developed those processes, the enterprise 145 01:09:35,875 - > 01:09:39,000 global buyers, they're all a little different. 146 01:09:39,000 - > 01:09:43,125 So even within that, the processes are a little different. 147 01:09:43,125 - > 01:09:46,791 So to a necessity point, you need to make sure that your processes 148 01:09:46,791 - > 01:09:54,457 are flexible and smart enough and can be configured well enough to be 149 01:09:54,457 - > 01:10:03,166 able to take care of the buyers that need PIO processes or that need purchasing 150 01:10:03,166 - > 01:10:08,166 controls and are not able to buy certain products with certain card. 151 01:10:08,750 - > 01:10:17,250 And all of this complexity that if you have a super efficient process that it's 152 01:10:17,250 - > 01:10:20,666 treating all your buyers the same, then you're not going to be able 153 01:10:20,666 - > 01:10:22,666 to take care of anybody well. 154 01:10:22,666 - > 01:10:23,207 Absolutely. 155 01:10:23,207 - > 01:10:23,666 Yeah. 156 01:10:23,666 - > 01:10:29,541 There's so many variables that it's sometimes surprising that people would 157 01:10:29,541 - > 01:10:31,500 take care of this themselves to me. 158 01:10:32,041 - > 01:10:36,291 And so not to toot around horns, but why not go to the expert second scales large 159 01:10:36,291 - > 01:10:39,457 as you need and as small as you need to handle all these different variables. 160 01:10:40,207 - > 01:10:46,541 Speaking of scale, it wouldn't be 2,026 predictions without talking about the 161 01:10:46,541 - > 01:10:49,291 thing that we just can't stop talking about even if we want 162 01:10:49,291 - > 01:10:50,332 to and we're tired of it. 163 01:10:50,582 - > 01:10:55,916 But I think there are interesting angles here when we bring up AI into this 164 01:10:55,916 - > 01:10:59,041 experience and how AI can help us scale and things like that. 165 01:10:59,582 - > 01:11:03,250 Martha, you already started, so I'm going to kick it to you after this. 166 01:11:03,250 - > 01:11:08,500 But you already started talking about, I think everything we're seeing, I've 167 01:11:08,500 - > 01:11:10,000 certainly looked into this myself. 168 01:11:10,000 - > 01:11:13,666 And it can be kind of scary at times, but I know that the right 169 01:11:13,666 - > 01:11:14,750 people are in front of it. 170 01:11:14,750 - > 01:11:16,582 But AI can be used for fraud. 171 01:11:16,582 - > 01:11:19,000 And we think that it's going to down the road. 172 01:11:19,000 - > 01:11:24,207 But what are some of the other ways that we can see AI starting to shape the world 173 01:11:24,207 - > 01:11:29,000 of payments as far as credit risk and personalized payment experiences and that 174 01:11:29,000 - > 01:11:30,416 scale that we were talking about? 175 01:11:31,166 - > 01:11:33,916 And Martha, do you want to kick it off a little more about fraud too? 176 01:11:34,250 - > 01:11:39,250 Yeah, I mean, the truth is that frauds are using AI, right? 177 01:11:39,750 - > 01:11:43,041 And they're using it really well. 178 01:11:43,041 - > 01:11:46,291 So that means that companies need to keep up, right? 179 01:11:46,291 - > 01:11:49,957 The good guys need to make sure that we keep up. 180 01:11:49,957 - > 01:11:54,457 And really, the only way to keep up is by using AI ourselves. 181 01:11:54,750 - > 01:12:00,750 It's just not sustainable to think that the processes that we've had in the past 182 01:12:00,750 - > 01:12:09,791 before AI became as popular as it is today and as easy to use worked, right? 183 01:12:09,791 - > 01:12:13,207 So we just need to make sure that companies keep up with that. 184 01:12:13,207 - > 01:12:18,791 And really, it's like every day, they get more and more clever, right? 185 01:12:18,791 - > 01:12:23,541 Some of the issues we've had to deal with are just really fascinating about 186 01:12:23,541 - > 01:12:26,166 everything in personation, right? 187 01:12:26,166 - > 01:12:29,750 And just, I don't know, I can't go on and on. 188 01:12:30,082 - > 01:12:34,375 And the only way companies are going to be able to keep up is by using AI 189 01:12:34,375 - > 01:12:37,666 themselves to be able to handle that. 190 01:12:38,041 - > 01:12:44,666 But on the other hand, AI also has some positive kind of applications that I am 191 01:12:44,666 - > 01:12:47,707 very excited about, especially because I'm on the commercial side. 192 01:12:48,207 - > 01:12:55,707 And I feel like AI is - I don't feel - I think AI is incredibly powerful in terms 193 01:12:55,750 - > 01:13:02,082 of customization and in terms of really getting to know your customers and being 194 01:13:02,082 - > 01:13:05,082 able to take care of the needs of your customers. 195 01:13:05,416 - > 01:13:10,625 I mean, I was talking before about the kind of the different variables and the 196 01:13:10,625 - > 01:13:12,707 different needs of different customer segments. 197 01:13:12,957 - > 01:13:20,000 Well, AI is incredibly powerful tool to be able to take care of your customers 198 01:13:20,291 - > 01:13:27,041 and also offer solutions that are even more innovative, like dynamic pricing, 199 01:13:27,707 - > 01:13:33,332 dynamic terms, be able to use the infrastructure that you have already 200 01:13:33,332 - > 01:13:38,625 placed to be able to - for this particular transaction, you're going to 201 01:13:38,625 - > 01:13:41,000 allow these terms for this customer. 202 01:13:41,750 - > 01:13:45,541 Or for this particular transaction, you're going to be able to have 203 01:13:45,541 - > 01:13:51,541 purchasing controls that are a little tighter and more controlled than for this 204 01:13:51,541 - > 01:13:54,707 other transaction that is less important. 205 01:13:55,125 - > 01:14:02,041 So AI is a very, very powerful tool to not only create efficiencies, but also 206 01:14:02,041 - > 01:14:10,332 meet the customer where their needs are and then being able to use payments as 207 01:14:10,332 - > 01:14:14,957 strategic growth lever because of all that infrastructure and all that 208 01:14:14,957 - > 01:14:22,041 configuration that you can put throughout the order to cash process, including, 209 01:14:22,041 - > 01:14:23,582 again, the point of sale. 210 01:14:23,582 - > 01:14:26,416 So I'm very excited about AI. 211 01:14:27,000 - > 01:14:33,791 And to a certain degree, I think people are very scared about AI. I 212 01:14:33,791 - > 01:14:36,082 think we should be because it's so powerful, especially 213 01:14:36,082 - > 01:14:38,707 when bad people use it. 214 01:14:39,082 - > 01:14:43,541 But on the other hand, I think that to a certain degree, because it's replacing 215 01:14:43,541 - > 01:14:51,082 inefficient processes and obstacles that we had before, I have this hope that it's 216 01:14:51,082 - > 01:14:56,332 going to help us become a little more human, that I'm going to be able to spend 217 01:14:56,332 - > 01:15:01,500 a little bit more time, develop relationships, and thinking about having 218 01:15:01,500 - > 01:15:03,500 a more robust conversation. 219 01:15:03,500 - > 01:15:07,125 We see it, for example, with our customer service reps. 220 01:15:07,832 - > 01:15:12,916 In the past, it was more about, how many minutes do you stay on the telephone? 221 01:15:13,125 - > 01:15:20,000 And now, because AI is taking care of the basic issues, now our customer service 222 01:15:20,000 - > 01:15:24,875 reps can develop a deeper relationship with the buyers and the 223 01:15:24,875 - > 01:15:26,500 centers that are calling them. 224 01:15:26,500 - > 01:15:29,207 And I think that's the future, hopefully. 225 01:15:29,207 - > 01:15:30,957 I mean, it's more optimistic. 226 01:15:31,291 - > 01:15:35,457 It's more about being able to be more human because of the 227 01:15:35,457 - > 01:15:37,332 efficiencies that are being created. 228 01:15:37,791 - > 01:15:43,541 I agree with you, Martha, because I think the way we see AI, it might not be the 229 01:15:43,541 - > 01:15:45,207 same as any other company. 230 01:15:45,707 - > 01:15:52,832 I think we see AI as a supporting method, let's say, to augment our service and the 231 01:15:52,832 - > 01:15:59,332 personal touch that is now enriched and gives a different dimension, let's say, 232 01:15:59,332 - > 01:16:01,541 to the relationships, to your point, that we're building with the 233 01:16:01,541 - > 01:16:02,500 customers of our client. 234 01:16:02,500 - > 01:16:06,375 I think that's the power of AI in our world. 235 01:16:06,375 - > 01:16:11,250 But not only that, I mean, if you think about it, the AI 236 01:16:11,250 - > 01:16:13,291 obviously thrives on data. 237 01:16:13,625 - > 01:16:20,832 We sit on a ton of data of our clients, be it payment behavior or spend data. 238 01:16:21,500 - > 01:16:27,500 So we leverage AI, and I think this is really the future for AI, at least for a 239 01:16:27,500 - > 01:16:32,791 financial technology company such as ours, which is where do you use it to be 240 01:16:32,791 - > 01:16:36,000 smarter in your decision-making process, be it on the underwriting 241 01:16:36,000 - > 01:16:37,291 side and the fraud side. 242 01:16:37,750 - > 01:16:43,541 But not only that, leverage machine learning also to learn more about, let's 243 01:16:43,541 - > 01:16:45,791 say, the spend behavior of your buyers. 244 01:16:46,082 - > 01:16:51,000 And in fact, I mean, I'm bragging here a little bit, but our team, our product 245 01:16:51,000 - > 01:16:55,541 team has figured out a way to predict dormancy with customers. 246 01:16:56,125 - > 01:17:02,416 Isn't that cool that based on data that we have in our systems, we can now 247 01:17:02,416 - > 01:17:05,166 predict to a really high percentage. 248 01:17:05,166 - > 01:17:10,457 I think it's 88% or 89% likelihood that an account can go dormant 249 01:17:10,457 - > 01:17:12,166 based on the data that we have. 250 01:17:12,666 - > 01:17:16,791 That is beautiful information and very, very important information that we 251 01:17:16,791 - > 01:17:17,916 provide to our clients. 252 01:17:18,541 - > 01:17:23,541 And they can then obviously, from the commercial side, pick that up and address 253 01:17:23,541 - > 01:17:27,791 that in campaigns or in personal outreaches. 254 01:17:28,082 - > 01:17:31,625 There's so much that AI can do on the commercial side as well. 255 01:17:31,957 - > 01:17:36,291 So I'm super excited about what AI does for us and for our clients 256 01:17:36,291 - > 01:17:37,541 in the future, absolutely. 257 01:17:37,541 - > 01:17:39,000 I agree. 258 01:17:39,625 - > 01:17:44,500 And I think that what we're seeing, to your point, and that example of dormancy 259 01:17:44,500 - > 01:17:46,707 is almost magical, right? 260 01:17:46,707 - > 01:17:51,625 It's allowing us to be less reactive and more proactive. 261 01:17:51,625 - > 01:17:56,000 And it's very powerful. 262 01:17:56,875 - > 01:18:03,791 To Ines's point, the product that the service, that the product team created 263 01:18:03,791 - > 01:18:09,332 about dormancy, like in the past, we always had to do it after the fact. 264 01:18:09,332 - > 01:18:12,375 I thought this customer stop buying, what happened. 265 01:18:12,375 - > 01:18:18,166 But now it's like, through AI and data analytics, 266 01:18:18,166 - > 01:18:22,375 we can prevent it, if that makes sense, which is a powerful 267 01:18:22,375 - > 01:18:23,791 tool for our customers. 268 01:18:24,582 - > 01:18:28,875 And it's, again, turning payments into a strategic growth lever. 269 01:18:28,875 - > 01:18:30,500 So very powerful. 270 01:18:30,500 - > 01:18:33,207 And being less reactive and more proactive. 271 01:18:33,207 - > 01:18:35,582 And the same thing for the finance teams, right? 272 01:18:35,582 - > 01:18:40,957 It's being able to predict cash flow a little bit more or late 273 01:18:40,957 - > 01:18:42,582 payments a little bit more. 274 01:18:42,791 - > 01:18:47,541 What late payments mean in terms of a buyer that is having financial problems 275 01:18:47,541 - > 01:18:49,000 that we can get ahead of. 276 01:18:49,000 - > 01:18:52,125 So it's very powerful. 277 01:18:52,125 - > 01:18:52,750 Yes. 278 01:18:53,125 - > 01:18:54,875 And we're starting to breach this. 279 01:18:54,875 - > 01:18:58,707 But how about credit decisions and compliance in AI? I 280 01:18:58,707 - > 01:19:00,457 know you guys both have thoughts on that. 281 01:19:00,457 - > 01:19:01,000 Yeah. 282 01:19:01,332 - > 01:19:02,625 I mean, well, we've touched on it before. 283 01:19:02,957 - > 01:19:10,541 I think it's a no-brainer that AI has sort of another dimension to credit 284 01:19:10,541 - > 01:19:13,207 checks and compliance checks. 285 01:19:13,500 - > 01:19:17,375 I mean, we can't obviously reveal the secret sauce of traffic pay, right? 286 01:19:17,375 - > 01:19:23,166 But we are leveraging the data, machine learning, and AI a lot 287 01:19:23,166 - > 01:19:26,375 every day in how we manage. 288 01:19:26,750 - > 01:19:31,791 I think our credit team is leveraging 92 data points of a single 289 01:19:31,791 - > 01:19:33,041 account when we underwrite. 290 01:19:33,625 - > 01:19:35,500 That's impossible to do manually. 291 01:19:35,500 - > 01:19:37,582 That's impossible, right? 292 01:19:37,582 - > 01:19:44,041 So you can only do that if you make use of machine learning tools and AI. 293 01:19:44,541 - > 01:19:50,707 And it enriches the process because the most traditional way probably in a 294 01:19:50,707 - > 01:19:55,000 business environment, and especially if you think about offering terms or trade 295 01:19:55,000 - > 01:19:59,291 credit, if you go to a credit bureau and you use that 296 01:19:59,291 - > 01:20:01,000 information, it's quite static. 297 01:20:01,541 - > 01:20:06,707 But there's so much more that you can and should be leveraging and using when you 298 01:20:06,707 - > 01:20:09,957 think about credit checks and compliance checks. 299 01:20:10,332 - > 01:20:14,541 And it's not only for credit worthiness, but it's also for AML, right, KYC. 300 01:20:14,541 - > 01:20:19,041 So those checks are super important as well. 301 01:20:19,041 - > 01:20:24,166 You want to make sure that if you sell your product, that you sell it to the 302 01:20:24,166 - > 01:20:27,541 company that's, I don't know, for example, not in a sanctions country or 303 01:20:27,541 - > 01:20:30,666 doesn't have any subsidiaries in a sanctions country or whatever. 304 01:20:31,125 - > 01:20:35,832 That's a massive undertaking if you need to do those checks manually, right? 305 01:20:36,416 - > 01:20:41,041 And those are quite simple examples, but those are the ones 306 01:20:41,041 - > 01:20:43,250 that we leverage a lot. 307 01:20:43,875 - > 01:20:47,457 But then if you think about from a European perspective, compliance on the 308 01:20:47,457 - > 01:20:49,000 invoicing side as well, right? 309 01:20:49,000 - > 01:20:54,082 I mean, making sure that the invoice that you send out is compliant, right? 310 01:20:55,082 - > 01:20:58,207 For example, with regards to invoice mandate, but also tax 311 01:20:58,207 - > 01:20:59,957 compliance is important. 312 01:21:00,625 - > 01:21:03,416 And then on the buyer side, there's compliance as well, right? 313 01:21:03,582 - > 01:21:10,000 The receiving end of an invoice today in Europe also has its processes and doing 314 01:21:10,000 - > 01:21:13,707 those checks, whether it's not a fraudulent invoice, whether it has the 315 01:21:13,707 - > 01:21:18,791 proper PO on it, whether it has all the bells and whistles, let's say, for it to 316 01:21:18,791 - > 01:21:25,457 be a manageable invoice, that probably requires more technology 317 01:21:25,457 - > 01:21:27,000 rather than manual checks. 318 01:21:27,457 - > 01:21:31,457 So the more finesse and the more intelligence that you can add to that, 319 01:21:31,500 - > 01:21:35,750 the higher the likelihood that you have a correct invoice, which is good for the 320 01:21:35,750 - > 01:21:42,500 seller because if the seller knows or has a compliant invoice, the likelihood of 321 01:21:42,500 - > 01:21:45,166 that invoice getting paid on time is obviously increasing. 322 01:21:46,457 - > 01:21:51,082 And also on the buyer side, if the buyer knows that the invoice is compliant and 323 01:21:51,082 - > 01:21:55,291 there's no hiccups to be expected, then they can process it smoothly. 324 01:21:55,291 - > 01:21:59,082 Probably it lowers the number of disputes as well, right? 325 01:21:59,082 - > 01:22:01,832 Which is a better customer experience as well. 326 01:22:02,375 - > 01:22:06,916 So yeah, there's so much on the invoice compliance as well that has a risk, 327 01:22:07,500 - > 01:22:11,000 probably a mitigating effect, as well as a customer experience 328 01:22:11,000 - > 01:22:12,082 effect, in my opinion. 329 01:22:12,082 - > 01:22:13,000 Absolutely. 330 01:22:13,000 - > 01:22:15,166 And sorry, Martha, go ahead. 331 01:22:16,041 - > 01:22:23,000 Yeah, to add to what Ines is saying, what I also find fascinating is the power of 332 01:22:23,000 - > 01:22:27,457 the data that AI allows you to leverage, right? 333 01:22:27,457 - > 01:22:29,875 Like Ines is saying, 92 points, right? 334 01:22:30,457 - > 01:22:34,582 But how do you compile all the data, right, that you get 335 01:22:34,582 - > 01:22:36,666 externally and internally as well? 336 01:22:37,082 - > 01:22:40,000 And we're very lucky at TreviPay because we'll be doing this 337 01:22:40,000 - > 01:22:41,582 for more than 40 years. 338 01:22:41,791 - > 01:22:48,582 So we have all this amazing global data from the verticals in which we operate. 339 01:22:48,916 - > 01:22:53,000 And so AI has allowed us - and we started many, many years ago 340 01:22:53,000 - > 01:22:54,875 with machine learning. 341 01:22:54,957 - > 01:23:03,541 But now AI has allowed us to leverage all that data that we've been gathering for 342 01:23:03,541 - > 01:23:12,332 how many years, and then enhance it with all these other data sources globally to 343 01:23:12,332 - > 01:23:15,750 be able to make even better credit decisions and be able to make 344 01:23:15,750 - > 01:23:18,666 them faster to Ines support. 345 01:23:19,166 - > 01:23:29,207 So it's just so powerful, right, to be able to combine both to offer better 346 01:23:29,207 - > 01:23:31,082 services to our clients. 347 01:23:31,082 - > 01:23:32,500 Absolutely. 348 01:23:32,832 - > 01:23:37,166 And you guys have both teed us up great for the next question, which is, as Ines 349 01:23:37,166 - > 01:23:40,957 has clearly proven, Europe leads on compliance and invoicing mandates. 350 01:23:41,457 - > 01:23:45,416 And then, well, in North America, we focus on embedded finance. 351 01:23:45,707 - > 01:23:50,082 How do these regional priorities influence global strategies? 352 01:23:50,082 - > 01:23:54,916 Ines, you and I talk about this so much, right, Ines? 353 01:23:55,666 - > 01:24:00,166 I'm going to let you handle the first one because you are in Europe 354 01:24:00,166 - > 01:24:02,750 working with global companies. 355 01:24:02,750 - > 01:24:07,582 I would love for you to start Ines, and then I'll add on. 356 01:24:07,957 - > 01:24:10,166 It's one of my favorite topics, Ines. 357 01:24:10,166 - > 01:24:11,750 It is. 358 01:24:11,750 - > 01:24:15,957 And Glynth, I would say, the one does not exclude the other. 359 01:24:16,582 - > 01:24:21,291 I mean, in Europe, obviously, we do have to do with those regulatory things, and 360 01:24:21,291 - > 01:24:23,582 that is front and center for European companies. 361 01:24:23,582 - > 01:24:27,082 But if you think about American companies - and we do, in fact, have 362 01:24:27,082 - > 01:24:32,000 quite a few American clients that want to expand into Europe and have expanded 363 01:24:32,000 - > 01:24:36,250 successfully in Europe, but now need to start thinking about, oh, my gosh, that 364 01:24:36,250 - > 01:24:40,375 regulatory environment is a bit alien to them. 365 01:24:40,375 - > 01:24:42,500 And how do I deal with that? 366 01:24:42,500 - > 01:24:47,916 On one end, in Europe, it's front and center because we live with it every day. 367 01:24:48,375 - > 01:24:52,375 We're very familiar with it, and we're finding the right solutions for it. 368 01:24:52,375 - > 01:24:57,791 But if you're a global company and you're headquartered in the US, or even in the 369 01:24:57,791 - > 01:25:01,500 UK, for that matter, then you have to deal with the same thing. 370 01:25:01,500 - > 01:25:03,416 It's no different. 371 01:25:04,250 - > 01:25:11,082 And then I would say, I guess companies should think about this more from a 372 01:25:11,082 - > 01:25:14,582 platform technology perspective, because what you really want to 373 01:25:14,582 - > 01:25:17,166 do is do things at scale. 374 01:25:17,166 - > 01:25:20,750 And unfortunately, Europe is not one country. 375 01:25:21,082 - > 01:25:22,957 Europe is 27 different countries. 376 01:25:23,791 - > 01:25:30,832 So that potentially has 27 different ways of interpreting EU legislation, for 377 01:25:30,832 - > 01:25:36,332 example, because EU has directives, which is great, but it leaves a lot of freedom 378 01:25:36,332 - > 01:25:41,707 to the individual countries to implement those, which we, by the way, see on the 379 01:25:41,707 - > 01:25:44,041 invoice mandates side, for example. 380 01:25:44,791 - > 01:25:50,416 So there's regulation that's called VEDA, which basically says by 2030, there needs 381 01:25:50,416 - > 01:25:54,166 to be a more generic way of handling E-invoices. 382 01:25:54,500 - > 01:26:00,332 But until then, companies get the opportunity to fill that in as they wish. 383 01:26:01,207 - > 01:26:05,375 So OK, now you're a company in - doesn't really matter which country. 384 01:26:06,291 - > 01:26:11,250 You want to operate in one of those countries in Europe, and you have to deal 385 01:26:11,250 - > 01:26:12,332 with the regulation. 386 01:26:12,707 - > 01:26:13,750 And the regulation is different. 387 01:26:14,625 - > 01:26:16,916 So you deal with regulation in Germany. 388 01:26:16,916 - > 01:26:18,875 That's totally different than regulation in France. 389 01:26:19,916 - > 01:26:22,082 So now, think about the American company. 390 01:26:22,082 - > 01:26:25,375 They come overseas and want to do business in Europe. 391 01:26:25,375 - > 01:26:26,582 Same thing, right? 392 01:26:26,957 - > 01:26:32,291 If they decide we expand into Europe, that doesn't mean we do one trick. 393 01:26:32,957 - > 01:26:36,832 No, it basically means you have to do tricks for every country 394 01:26:36,832 - > 01:26:38,457 to be compliant, right? 395 01:26:38,916 - > 01:26:44,166 So yeah, the strategy, to come back to your question, Kline, should be, how do I 396 01:26:44,166 - > 01:26:50,582 find a solution that is scalable and that's easy to deploy in different 397 01:26:50,582 - > 01:26:53,500 countries so that you can pivot quickly? 398 01:26:53,500 - > 01:26:57,916 Because I think speed is also something that distinguishes companies, right? 399 01:26:57,916 - > 01:27:02,125 If you are able to figure it out quickly, you can move ahead and take advantage of 400 01:27:02,125 - > 01:27:04,041 the commercial opportunities, right? 401 01:27:04,625 - > 01:27:08,125 If you need more time to figure it out, probably your 402 01:27:08,125 - > 01:27:09,500 competitor will be ahead of you. 403 01:27:10,125 - > 01:27:13,250 So yeah, that strategy is important. 404 01:27:13,666 - > 01:27:19,207 And finding a solution that is scalable and can make you move and pivot quickly, 405 01:27:19,207 - > 01:27:20,666 I think is important. 406 01:27:20,666 - > 01:27:22,832 I don't know, Martha, go ahead. 407 01:27:23,457 - > 01:27:27,750 Yeah, and to Ines's point, it's not only regulatory compliance. 408 01:27:27,750 - > 01:27:32,000 I mean, there's so many little idiosyncrasies when you 409 01:27:32,000 - > 01:27:34,207 are a global company, right? 410 01:27:34,457 - > 01:27:40,000 I mean, it's currency conversions, languages, and even cultural issues. 411 01:27:40,207 - > 01:27:44,291 Like, for example, in France, right, most of the time, you cannot 412 01:27:44,291 - > 01:27:45,791 do 30-day terms, right? 413 01:27:45,791 - > 01:27:48,041 There needs to be 45-day terms at least. 414 01:27:49,125 - > 01:27:55,416 And so if you are a global company, the best you can do is leverage, you know, 415 01:27:55,582 - > 01:28:01,125 efficient global processes that can be implemented in any country, but at the 416 01:28:01,125 - > 01:28:08,166 same time, like handle the idiosyncrasies and the compliance and all the other 417 01:28:08,166 - > 01:28:10,666 things that are particular to each country. 418 01:28:11,041 - > 01:28:15,500 And if you come from the US perspective, sometimes that's a little difficult to 419 01:28:15,500 - > 01:28:18,500 understand because we are such a huge country, right? 420 01:28:18,707 - > 01:28:20,875 There's little idiosyncrasies, right? 421 01:28:20,875 - > 01:28:23,957 Like, California tends to be a little more complicated because there's more 422 01:28:23,957 - > 01:28:25,250 rules in California. 423 01:28:25,250 - > 01:28:31,041 But in general, it's just one massive country, right? 424 01:28:31,457 - > 01:28:35,750 But then when you go to, like, Latin America, when you go to Europe, or when 425 01:28:35,750 - > 01:28:39,582 you go to even Australia, it's completely different. 426 01:28:39,582 - > 01:28:43,291 And you need to make sure that you have the infrastructure, including bank 427 01:28:43,291 - > 01:28:47,166 accounts, including people that understand how to do business in those 428 01:28:47,166 - > 01:28:53,875 countries, while at the same time leveraging, you know, the great tools 429 01:28:53,875 - > 01:28:57,957 that have been implemented and that have been there for a long time. 430 01:28:57,957 - > 01:29:00,707 So it's a balance, right? 431 01:29:00,707 - > 01:29:06,166 And that's someone that you and I talk about constantly because to be able to 432 01:29:06,166 - > 01:29:11,457 grow and to really be effective, you need to make sure that you are adapting, not 433 01:29:11,457 - > 01:29:16,957 only to the regulatory environment, but also to the culture, the customs and all 434 01:29:16,957 - > 01:29:21,500 the other idiosyncrasies that if you don't, you're not going to be successful. 435 01:29:21,500 - > 01:29:23,375 Great. 436 01:29:23,666 - > 01:29:28,207 And I have no doubt that you guys will be able to answer it so easily. 437 01:29:29,291 - > 01:29:35,250 But you're advising a CFO today, what actions should they take to future-proof 438 01:29:35,250 - > 01:29:37,791 invoicing and payment process for the next three years? 439 01:29:38,582 - > 01:29:42,250 And I know we don't have crystal balls to know exactly what's going to happen, but 440 01:29:42,250 - > 01:29:46,082 what are the main things that we tell them to do? 441 01:29:46,082 - > 01:29:48,207 I think I can start in us. 442 01:29:48,207 - > 01:29:54,375 I think don't think of payments as a back office function. 443 01:29:54,375 - > 01:29:58,666 Think of payments as a strategic growth lever. 444 01:29:58,916 - > 01:30:04,791 Think about customer segmentation because that's where it becomes 445 01:30:04,791 - > 01:30:06,625 a strategic growth lever. 446 01:30:07,375 - > 01:30:13,916 And think about payments as kind of proactive function as well, more than a 447 01:30:13,916 - > 01:30:19,207 reactive one to be able to predict cash flows, 448 01:30:19,207 - > 01:30:25,500 late payments and all the other major topics that CFOs think about. 449 01:30:25,500 - > 01:30:28,500 I think that would be me. 450 01:30:28,500 - > 01:30:32,707 Think of payments as a strategic growth lever and not only as 451 01:30:32,707 - > 01:30:34,707 a back office function. 452 01:30:34,707 - > 01:30:35,250 Emes? 453 01:30:36,125 - > 01:30:38,666 Yeah, gosh, how can I top that one? 454 01:30:39,000 - > 01:30:45,500 I would say then with a little bit of a European lens, instead of being afraid or 455 01:30:45,500 - > 01:30:50,166 scared of regulation, because I can see if you're not from Europe that regulation 456 01:30:50,166 - > 01:30:54,875 can be a little scary, but instead of being scared about it, 457 01:30:54,875 - > 01:30:56,750 I would say embrace it. 458 01:30:57,832 - > 01:31:04,582 Find the right partner to educate on the opportunities and to mark this point, 459 01:31:05,166 - > 01:31:11,250 because if you understand the opportunity for growth, then it's probably easier to 460 01:31:11,250 - > 01:31:17,457 put a strategy together where basically you handle the risk that is there from a 461 01:31:17,457 - > 01:31:24,207 compliance perspective and obviously the adherence to those policies, but you link 462 01:31:24,207 - > 01:31:27,332 it to your strategic growth agenda basically. 463 01:31:27,791 - > 01:31:32,875 So I think it's an opportunity more than a risk if you embrace it. 464 01:31:33,125 - > 01:31:37,250 And if you really think about the opportunities that it will give you, if 465 01:31:37,250 - > 01:31:42,791 you are a first mover, if you are the trusted and compliant partner for your 466 01:31:42,791 - > 01:31:47,500 customers, I think if you can be that partner, you have a really, really 467 01:31:47,500 - > 01:31:50,416 prosperous future ahead of you as a CFO. 468 01:31:51,375 - > 01:31:53,041 It's hard to top that as a closer. 469 01:31:53,541 - > 01:31:58,707 So as we look forward to 2026 and all the changes that are coming in the future, we 470 01:31:58,707 - > 01:32:02,916 just see that business is shrinking on the global stage, but with that, we have 471 01:32:02,916 - > 01:32:07,166 lots more variables and you need that partner that can scale with you, that can 472 01:32:07,166 - > 01:32:09,125 handle compliance and that can do it with speed. 473 01:32:09,791 - > 01:32:13,625 And obviously it'd be great if you chose one that had 40 years of experience 474 01:32:13,625 - > 01:32:17,750 already doing this as we have all these new things like AI coming into the fold. 475 01:32:18,457 - > 01:32:23,041 And yeah, I really love the idea that, you know, instead of looking at all of 476 01:32:23,041 - > 01:32:26,416 these different things that are coming down the pike as things that you have to 477 01:32:26,416 - > 01:32:29,416 take care of, find a partner that can help you use it as a 478 01:32:29,416 - > 01:32:31,457 strategic lever for growth, right? 479 01:32:31,457 - > 01:32:34,582 B2B payments as a strategic lever for growth as you kept saying more. 480 01:32:34,582 - > 01:32:36,250 This is just amazing. 481 01:32:36,582 - > 01:32:39,916 And I think we'll give you the advantage over your competitors. 482 01:32:40,957 - > 01:32:46,500 So as we close out, I want to invite everyone to check out trevipay.com and 483 01:32:46,500 - > 01:32:48,916 you can see the full report that we've been talking about today. 484 01:32:48,916 - > 01:32:50,332 This has been a great chat. 485 01:32:50,332 - > 01:32:51,082 Thank you both. 486 01:32:51,082 - > 01:32:55,291 I know I'm excited for 2026 and especially after this 487 01:32:55,291 - > 01:32:56,707 conversation, even more excited. 488 01:32:57,082 - > 01:33:00,875 So TreviPay will be there all the way and helping these companies grow.

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