FP&A Today goes on the road!. Our host city is Boston and the historic Harvard Club with an audience of Boston CFOs and FP&A leaders. Our first live recording sees an all-star panel of Jack McCullough, CFO Leadership Council, Michael Bayer, CFO of Wasabi Technologies, Cathy Yang, CFO Trexon.
By way of background, Jerome Powell, the chair of the Federal Reserve, talked of “remarkably high” levels of economic uncertainty. “I don’t know anyone who has a lot of confidence in their forecast,” he said. FactSet, a financial-data firm, found that over half of the companies in America’s S&P 500 index cited tariffs in their earnings calls—more than in any other time over the past decade.
In this episode we probe how finance executives can navigate today’s complex geopolitical and technological landscape including:
- The ROI of a CFO AI Strategy
- How to navigate as a financial leader with tariffs and trade tensions
- Trexon’s Experience navigating tariffs affecting 12 business units and 16 sites
- Tech and AI’s role in enhancing supply chain visibility
- Pricing increases for customers due to tariffs and navigating that from the CFO’s Office
- Back to work or not for finance teams?
- The future of accounting
Full blog post and transcript
Glenn Hopper:
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This is FP&A Today. This week we have a very special episode of FP&A Today recorded live at the historic Harvard Club of Boston, and front of CFOs and fp NA professionals. This was a very exciting episode for us as it’s the first time ever that FP&A Today has been on the road. In the nearly three years of this podcast, we had a truly all-star panel talking about the mood in the US among CFOs and fP&A professionals, and how to navigate the daily fluctuations. We were joined by Jack McCullough of the CFO Leadership Council, Michael Bayer, CFO of Wasabi Technologies, and Kathy Yang, the CFO of Trexon. Jack actually agreed to take over hosting duties to let me be on the other side of the microphone for a change. And we covered so much ground, I got a lot of value from it, and I hope you do too.
Thank you all for coming out. Um, so for those of you who I haven’t met, I’m, I’m Glenn. I’m the host of FP&A today, and Jonathan, our, our producer of the show said, Hey, we want to, we wanna take fp NA today on the road. What do you think about going on the road? And I thought, I’m not like Harry Styles. I can’t just go sell out a <laugh> sell, you know, book a room, uh, in another city. But I did like the idea of coming on the road and I on, on, on the road, and I always love to come to Boston. So Jack was the first person I called because, um, I, I knew that if anyone could fill a room, it would not be me. It would, it would be Jack in the contacts that he made here. So, thank you very much, uh, all of you for coming.
And thank you, Jack, for helping, helping bring everyone. We had originally envisioned Jack and I both being moderators and then interviewing people, but then it felt like a really weird, like, crossfire situation with Jack and I, uh, with, you know, having two people, interviewing two people. So Jack volunteered to take over the panel because he’s, uh, much better at this, uh, public speaking kind of stuff than I am <laugh> and coordinating and all that. And is gonna let me just hide out and answer a few questions here and there on the panel. So, special episode of fp a today hosted by Jack McCullough, and I’ll introduce Jack, who will introduce our other speakers as, as well. Oh, and for anyone who doesn’t know Jack, he’s, um, the founder of the CFO Leadership Council and has been a CFO for 26 companies. I don’t even know how that’s possible. Is that right? Is that 26? 26, yeah. <laugh>. So, um, so I think everybody here does know. Does anyone here not know Jack?
Michael Bayer:
Yeah.
Glenn Hopper:
Okay. Go. Yeah. So Jack, I’ll let you, uh, I’ll let you take it from here.
Jack McCullough:
Good afternoon, everybody. Go. Thank you for that introduction. By a show of hands, how many people like to lead their companies during a time of global uncertainty? Wow, a few of you actually do. Wow, that, that’s impressive. Well, this is the panel for you, but we wanted to put this panel together because I, I think for a long time we’ve lived in volatile times, but never more so than now with the unrelenting pace of changes in technology, uh, challenges with the talent pool, and now with the possibility of a global trade war looming, there’s just a lot of uncertainty facing CFOs and the organizations that they lead. So that’s why we wanted to do this. Before we begin, I do want to thank the nice people from Datarails. Where are you all? So thank you for putting this together and for my seven figure speaking feeI’m very grateful.
I thought for sure you’d haggle on that a little bit. Wait, you’re getting paid for this, is it <laugh>? My name is Jack McCullough. By day I run a professional association called the CFO Leadership Council. We are a group of about 2,600 CFOs. It’s a global group, although about 90% of the US are in the US and Canada. We have our founding member right there, Joe Falco, and, uh, you’re probably a top five member, Michael. So, uh, a a lot of members are in the room today. Before we get into it, I do want to allow our, uh, speakers to introduce themselves. So, Michael, do you wanna start? Uh,
Michael Bayer:
Sure. Michael Bayer. I’m CFO of Wasabi Technologies. We’re a Boston-based provider of cloud object storage solutions for commercial, educational, and government purposes.
Cathy Yang:
Kathy? Sure. Kathy Yang, CFO of Trexon Global. We are interconnection services for engineering solutions for all kinds of industries, and we’re based in Boston, but global manufacturing facilities.
Glenn Hopper:
And I’m Glenn, I’m the host of FPNA today, but my day job, I’m a, uh, consultant. I’m a former CFO. Uh, when I first moved into consulting, I was doing fractional CFO work. Now I’m doing a data engineering for the office of the CFO, basically. So helping CFOs to, um, whether they’re, you know, a size company that would use somebody like Datarails or, you know, uh, bigger data projects. But it’s, uh, this time, you know, in 2025, we’re starting to see more and more CFOs leaning into, okay, we’re getting pressure from our boards and from management, and, you know, what, what can we do with AI? So I’m working now on helping, uh, companies implement AI specifically in the Office of Finance.
Jack McCullough:
Fantastic. I’m a decent moderator, but I have one fatal flaw. I’m horrible at clock management. So if I look at this, it’s because I’m looking at the clock. I promise I’m not checking email or on stage, but the program is designed to go for 75 minutes. We’ve set aside 10 or 15 minutes at the end for audience q and a. However, should you have questions as we go, part of the reason that we wanted a relatively small group is to keep this conversational. So, uh, if you do have questions as we go that you think need to be answered by one of our panelists in the moment, put your hand up and I will do my best to, uh, to call upon you. If, uh, if I don’t seem to see you just yell at me, I will get the hint. So we’re gonna start the first part of the tease with technology. And just a question for all of you, just kind of a, an easy one to get you going, Kathy. So what are the emerging technologies should CFOs be paying close attention to in 2025 and beyond? And more importantly, what are their potential implications for the finance function?
Cathy Yang:
So everyone is very hot and chasing all the AI technologies. So I think this is not new. I come from a lot of a FP&A background, m and a, um, any printed data, any analytical system that helps us do our job. And I think that the, the usability to really take our system information into usable information that gives insight. That’s what we are looking after. Um, as a company, we’re also, because we’re a manufacturing company, I’m also very mindful of all the capital investment that we can use to make our factory smarter. And that is where we could have either machines that could have sensor or elements to help our production floor to know what we’re doing to track, but then also to, on a timely fashion, to bring that into dashboard reports, analyze analysis, so we could do real time assessment of how we’re doing and improve upon.
And to really provide the finance community something that we could work with so that we could use for trend analysis predictions, as well as further information that we could broaden. One of the things that we are also mindful of is use data to know where we have gap so that we are super inquisitive and where we could really fill in the vault sort of gap where we get to have product that can really serve our customers, or we could have things that we could take to customers and then really make new product introduction that are also beneficial. So those are the things that we are looking after in terms of a technology.
Jack McCullough:
That’s
Glenn Hopper:
Great. Gwen, you wanna follow up on that? Yeah, I think, you know, everybody’s talking about generative AI right now, and everybody wants to have this AI magic wand that they can, uh, you know, wave over their data and make it, uh, make it do things. But really most of the companies that I’m talking to right now, you know, we need to nail down your bi before we even look at AI talking with Michael. And, and from what you’re talking about, it sounds like you guys are in a, in a pretty good space in, in using data, but I, I work with a lot of SMB sized businesses that are, you know, with them, we’re having to start with, let’s get your chart of accounts cleaned up. Let’s figure out, you know, your data dictionary, your source of truth for, for all of your information, and start there, and then kind of move them through the phases of, of analytics.
And then at the very end of that, you could use generative AI for some additional insights and maybe some automations and way to talk to your data. But really in technology now, it’s, um, you know, we’ve been talking about digital transformation for 30 years, and I think if you haven’t digitally transformed at this point, then you know, you’re probably a little behind the time. But this is like the last call for companies to get their data ready, ready, because now what we’re gonna see on the, on the tech side is not all companies building their own AI solutions, but the software that we use data rails already, and, uh, NetSuite and Salesforce and all these tools that we already use are gonna start integrating the technology into the system. So when you have your data in the database, you’re able to use it and, um, and access it that way without having to have your own kinda machine learning engineers and, and all that with the data. So it’s really, um, for me, the, the technology, there’s several different ways you can get there, but it’s really about getting your data in order and having it all ready to, if, if you haven’t already gotten to that sort of data-driven decision making, move into that step now.
Jack McCullough:
Okay, Michael, what else should they be thinking of?
Michael Bayer:
So it’s hard to add to that list. It’s pretty comprehensive. I guess my view on it is automation today as, as Glen was alluding to, is table stakes. Um, it starts off with having the right data model in place and, and getting good systems and processes that tie together. Then the next step is making sure that you’ve got good data hygiene. Um, you know, it’s, it’s really easy to just pile systems on top of one another, but if you don’t have good data, well thought through data models and, um, understand the relationships of all the data, then it’s all for naugh. You get automation and data hygiene in place, then you can start figuring out how do you add meaningful business intelligence on top of that. And that’s where the tech stack doesn’t matter. You’re, you’re gonna come up with a tech stack that works for you as a company, then figuring out how do you drive inference from the data that you’re getting.
I often wonder why we in the financial profession don’t put any value on the data that the company has, doesn’t show up on a balance sheet. Um, it’s not an expense, it’s nothing that we track, and yet it’s probably the most valuable thing that we have in the company. And so, as sort of the ultimate steward of that value in the organization, that’s the office of the CFO, we constantly have to think about how do we leverage that to drive the business forward? And that’s all an inference. And, uh, again, hearkening back to what both the panelists said, you know, it’s, it’s easy to talk about and it’s really hard to figure out. You gotta get the right people with the right kind of mindset, um, with the right systems in place, and then you could start learning about the business and finding the growth vectors and capitalizing.
Jack McCullough:
That makes sense. Michael, I, I wanna stay with you and, um, Michael works for Wasabi Technologies, which if you’re a CFO and you’re not familiar with them, I’d, you know, maybe check them out. Uh, one of the real hot data hot companies in the data storage industry, that’s an industry that is just absolutely continues to be rapidly evolving. So how do you as CFO of that company assess the financial implications of integrating these emerging technologies, AI and machine learning being two obvious ones into your overall business model?
Michael Bayer:
Sure, and I’ll, I’ll take a step back to do my shameless pitch for the company. How many of you have data? How many of you are using Wasabi to store that data? Okay, the rest of you’re paying too much
Speaker 5:
<laugh>.
Michael Bayer:
Um, and that’s basically what we do is we deliver, uh, cloud object storage solutions to companies. Uh, and I, I, I reason, the reason I mention that here is, uh, all of this stuff that we’re talking about around data, around systems, around tech, uh, starts off with having the data in place. And as I look to the future, it’s not clear to me what the winning technology will be. Is it gonna be LLMs or small models or inference engines, or who knows what technology is gonna win something will win, many things will win their AI models, and they’re gonna all gonna make our data more valuable. And what we do, our core mission, uh, is to make it really inexpensive to store all that data so that later on when you find, uh, ways to drive inference, remedy, or drive intelligence from it, you’ll have the data stored.
Uh, now that, that’s really responsive to the question that you’re asking, how do we assess the value of systems that we put in place or capabilities we put in place? It’s no different from any other, uh, investment that we make. Um, there’s gotta be an ROI, there’s gotta be thought as to what’s the investment in both dollars and people that we’re gonna make and putting systems in place, uh, and have some sense of what the return will be. Although it’s a lot of his guesswork because we just don’t know. Uh, I, I think the, the question we all should be asking ourselves is, what’s the cost of not doing it? And so, you know, you have to figure out how to get investments into the budget one way or another. Uh, but it’s really about what happens if we don’t do this. We’re scaling at an incredibly rapid rate. We’re, uh, we’re a hypergrowth company, and I, I look out a year or two from now and we’ll be twice our size or more. And I think about any system we put in place and say, how’s that gonna work? One or twice the size, four times the size, 10 times the size. And if we don’t automate, if we don’t think about how to put systems in place, whether they be, uh, just the core systems or ML or AI or whatever the, the systems are, how are we gonna operate, uh, a couple of years later?
Jack McCullough:
Well, that’s great. And Kathy, I I wanna shift it over to you. Um, a very different business model, um, global manufacturing, but you’re specialized in, if I have my notes, if they’re correct, connectivity solutions across various sectors. So I know with the adoption of I, OT and 5G technologies, that creates some challenges and opportunities for you. So what are you thinking of in terms of implementing them and supporting your business roadmap?
Cathy Yang:
Yes. So Michael talked about how it’s data storage. Our company manufacture interconnect solutions, cable connectors into companies for under the sea in on the land, in the air or into space. So anywhere you could think of application that use cable, that is regulated. And that’s what we do. And we make, um, these cables to satisfy, it’s oftentimes customized so that the customer needs a customized solution. We do the engineering, we work with the customer, making sure the cable with connectors can be reliable and protected for the data transmission. So with the IOT and the 5G, um, oftentimes these cables are the ones that data goes from one side to the other, ultimately into data storage, the customer used, but really transmitting data. The 5G network has allowed the data to transmit much more faster. And then we also have the iot. So one of the application, for example, is we manufacture these cables under the sea where they’re wrapped, they’re protected.
So it doesn’t really get eaten way by the, the salt water. But really when we are putting on the cable, there is sensors. So these are solutions where the divers, the rover units can be surveying the sea floor surveying what’s happening with, um, with the petroleum unit or with other things. And it doesn’t require any operators to be physically there, but using the sensor to detect what’s happening with the cable and what’s happening around the sea floor. And so that’s really utilizing the IO ot. It’s really using the 5G network internally. We are, earlier I talked about capital investment. So we, um, finance is always cut. You know, we worry a lot about inventory management. So one of our facility actually multiple, our I manufacturing facility has these inventory machines we call vertical lift machine. They are, um, big vertical lift and i I described to those who go to dry cleaner.
Um, is that you think that dry cleaner with a clothes coming around a rack, these are inventories that goes vertically and they take very little space for the inventory that has sensor where anytime operator is picking parts out of the system, it has sensor to protect for safety reasons. You’re not gonna be able to pick if your hands are too early into the line, cross the line until the parts come your way. But the moment that our operator pick the parts, it’s entering the system, it connects with our ERP, it tell us how many parts have been picked, how many are still in demand with MRP and what we need to procure, or also for allowing finance to do what we love to do for inventory tracking and management. So that’s how we use these IO OT and technology solutions within our capital environment internally as well.
Jack McCullough:
That’s great. Glenn, I wanna ask you sort of the broader perspective here. Um, I think it’s fair to say that gen ai, it’s the most transformative technology since the wheel. No, probably, it’s probably the thing since the wheel, but certainly within the course of our careers. So, you know, in your perspective, how is it really changing the skills and competencies of the finance function and then there are specific roles that we’ll see significant change or disruption or maybe even, you know, sort of be phased
Glenn Hopper:
Out? It’s interesting right now as, as far as what it’s doing today, we all see the potential of it, and we’re really seeing just the very early stages of true applications. So I’ve been teaching, uh, how to use generative AI and fp and a primarily, um, for the past year and a half. Um, and when I’m teaching the courses right now, it’s, you know, going back to I guess GPT-4 was probably the, the first courses I was teaching on. It’s right now it’s like a, it’s not, it’s not parlor tricks. I don’t, because I, I’m an evangelist for IT <laugh>. But that said, as far as heavy duty real usage up to now, I think 2025, we’re starting to see a change there. It’s all been, let’s play around with this to see what’s possible. But I’m, when I have to take my work and come out of your normal workflow, if you’re in your ERP and you’re in whatever reporting tool you’re using, but you have to pull a CSV or different data out and upload it into something that’s web-based or whatever, it just feels clunky.
And it’s, I mean, don’t get me wrong, people are finding all kinds of individual productivity hacks, but it, we just haven’t gotten there to where it’s really, and not even getting into the fact that, you know, the results you get from generative AI are probabilistic, not deterministic. Whereas classical machine learning, you know, where you get, so you’re, you know, the answers are gonna be different every time when you use generative ai. That might be great for marketing. It’s a little bit of a problem in finance and accounting. You know, if your trial balance doesn’t balance, then <laugh>, you know, something’s wrong. There’s not, not a gray area there. So, um, that said, even doing these, these courses and showing how it can be used, you see the, the future and the potential, and I think we can’t ignore it and think it’s going, going away at this point that said, I’m not gonna fire my fp and a team and, uh, and turn it over to the robots at this point.
But there are ways that we can get a lot more efficient by using this. And I think, again, for many of us, the only use that we’ll have of it is if it’s built into our ERPs, our, uh, CRMs, uh, epms and other tools. But then for companies like Wasabi, and I know my, you know, if you have a data engineering team, it is already working with this data in a sophisticated way, those companies are gonna build out really cool, um, applications where, um, think about your dashboards that you have today. Whatever system you’re in, you, you have this two dimensional data that you can, maybe you can click in and drill down one or two steps, but if you want more detailed information, you have to put in a request for a, a report and, uh, you know, get, get in the queue to, to get this report.
But the kind of information, when you integrate generative AI in, it’s not, it, it’s letting you’re interacting with the same data, but you’re doing it in a way that, um, you can use natural language. You don’t have to be able to write SQL queries. You don’t have to be able to use, you know, to write Python code or whatever to interact with the data. And that’s gonna really, it’s gonna be like a superpower for analysts in, in particular. But any, anyone who’s using those dashboards, because if you can do sort of data science kind of calculations, but you don’t have to write a Python application to do it. I mean, there’s some amazing tools there. But, and what that’s gonna do to the, to the teams and the kind of the skills they have. Um, there’s a, a quote by a guy named, uh, Clifford Stoll, really interesting guy if, if you haven’t, um, heard of him.
But the, the quote is, data is not information, information is not knowledge, knowledge is not wisdom and wisdom is not understanding. I think I didn’t, I think I got that right. But the, the, whenever I think of that quote, I use it all the time because to me it’s the levels of value that we can add. So turning data into information, that’s a data entry thing. Nobody goes to, gets a master’s in finance or accounting because they’re passionate about entering data. That’s the, the lowest level. And that’s an area that’s really being automated more and more. But what we’re seeing with generative AI and well with analytics in general, but but even more so maybe with generative ai, is they’re kind of, kind of moving up that pyramid. So the, the human in the loop element becomes much more of adding that strategic value than just, than building models.
And ’cause when all the skills that, uh, we prided ourselves on in Excel for being able to write these complicated formulas and doing, um, you know, building out the models in Excel, well, even like when I talked about it being integrated, so, you know, Microsoft spent invested $15 billion or more at this point, um, in generative AI between open AI and the acquihire that they did and, and the internal, uh, development that they’re doing, they’re gonna nail copilot. And when they do all the, you know, all those fp NA people, um, all the code or all the, um, you know, sophisticated modeling that we really prided ourselves on, anyone’s gonna be able to do that not by writing nested if statements, by just going in and typing in to the, the modern version of clippy the, uh, <laugh> the Microsoft assistant and saying, you know, go do this with my data. So I, I think that, that where we need to be thinking about our teams is moving them up on that strategic level and, you know, they need to understand how to use generative AI and when you can use it and when you can’t. But the real long term value is gonna be, if they’re not building those models, how are they adding value to the company?
Jack McCullough:
That’s great. Um, just a reminder, uh, there is designated q and a towards the end, but if you do have questions as we go along, feel free to shout them out. And I don’t mean this as a threat, but if there are no questions, we’re gonna have to spend the last five or 10 minutes talking about taxes, <laugh>, <laugh>. So if that doesn’t stimulate a question or two, then uh, then I’ve failed miserably. So, but that’s great. I I got a lot out of that. I’m not like the most digitally astute person. In fact, the only part I really understood is when you talked about washing machines. So that was, that was helpful to me and hopefully the, some of the rest of you. But let’s chat a little bit about tariffs. Kathy, I, I think perhaps you are the one most immediately impacted by tariffs, you, you or Michael for sure would be, but so you serve a lot of industries, you know, it’s all about international trade policies, right? That’s kind of the world that you’re living in these days. Yeah. So, you know, how do you as the financial leader of a company like that navigate the in financial uncertainties posed by tariffs, uh, trade tensions, and what measures are you implementing to mitigate these risks? And, you know, adding to the complexity of it, and this will not turn into political discussion, but it, it does seem like every day we not only get new news, but contradictory news on what might be happening. So, you know, good luck with that.
Cathy Yang:
I think both trucks on El Salvo technologies, I think we had a healthy debate of who gets impacted more, but I’ll go ahead and get started. <laugh>. Um, so we, by nature of manufacturing globally, there is this impact that we are receiving on the receiving end. And you’re right, it’s ever changing. And the changes by the minutes by the day, the, the one thing that we keep center in front for us is that not only we are impacted, our suppliers are impacted, and our customers are impacted too. So our approach has been being very transparent and open communication with our suppliers and our customers. So this is not a new thing from a internal perspective. Our system was ready a few years ago and now is again ready. So the IT team, the systems and people who have to deal with invoices, were ready to reflect, you know, really react to this really quickly from a customer facing or external facing perspective.
As soon as we hear the news, we are actually preparing letters to go into our customers and working with our customers very directly to communicate. There may be this impact, and the moment we get impacted, we will have to pass this on to you. And most of our customers are very receptive to that. Um, on the supplier fund, we also get a lot of inputs and we immediately jump into analyzing our source of our purchase, where we may have direct purchase or indirect purchase, whether we’re going to get impacted. And this is also another way where, another place where all the procurement team were put on notice immediately to say, when we receive some notice or information, be sure to communicate internally. And then let’s make sure that we have a strategy to react. Trexon has, we have have, um, 12 business units and 16 manufacturing company manufacturing sites. So we have all these information from all angles in the all front. And the team is really, really together to think this. And we are by always encouraged our team to not be siloed, but really to be open. And we found right away that we were able to just know what’s going on at each site. Very luckily, I think that our impact is probably not as material as we have feared to be, but nonetheless, it’s good to be prepared and ready to respond.
Jack McCullough:
Yes, indeed. So, and I didn’t realize you two had a bait about who would be, uh, <laugh> impacted more, but it’s a very real thing for wasabi too. And, and particularly you’re, you know, aggressively expanding your global footprint, it’s fair to say. And so how are you addressing the challenge related to tariffs and, you know, international trade regulations generally, particularly on data sovereignty and cross border data flows, which is critical.
Michael Bayer:
Wow. How much time do we have left <laugh>? Uh, we’ve got an hour, seven minutes. There’s a, there’s a lot to unpack in that. And I, I’d start with the, the theme of the day is uncertainty and managing uncertainty. Uh, and you know, the good news is as an organization, uh, that’s managing hypergrowth, we’ve built in some level of resiliency to manage uncertainty. Uh, when you’re growing almost in a vertical line, what’s the slope? Uh, I don’t know what’s really, really high, but we don’t know exactly what’s gonna happen. So, uh, we have to build in a lot of resiliency and a lot of, uh, the systems and the people that are able to react to changes in the trajectory. Uh, fortunately it’s been all, uh, high growth up until now. And so, uh, we’re, we’re hoping to continue to capitalize on that. But uncertainty is the word of the day, and I think it relates to all the topics that you just mentioned.
Um, it, sure, it starts with tariffs, but you know, depending on, uh, which economic theory you ascribe to are tariffs, inflationary or not, do they cause, um, trade imbalance or not? Uh, will it cause um, additional trade barriers to be erected by other countries or not? How is that going to impact customer behavior? Are they gonna buy from us companies or not? None of these are known. And so we have to think about all of those. They’re constantly, as we make sense of the environment now as an organization, why the debate raged is we’re in a pretty simple business. We buy storage equipment, we put it in a data center that we rent someplace, and we rent that out to our customers, and we operate it for them. And that’s, it seems like a simple business, but there’s a lot underneath there. Uh, so that can involve procuring equipment that’s manufactured in Mexico, that’s drop shipped to the United States, and integrated into a platform with hardware that comes from other countries.
Software that’s built here. It’s maintained from somewhere in a low cost development center in Europe or in Asia. Uh, and then it’s shipped out to one of our data centers worldwide, perhaps in Canada. So you have boxes that go from Mexico to the US to Canada as one example. Well, like a tariff or not, how’s it gonna get tariffed? We just don’t know right now. So we’re in the early stage of this. So just understanding what are the flows that we’re subject to? Um, this is no different, by the way, from understanding data sovereignty. And that’s another set of regulations where if we’re erecting trade barriers amongst countries, um, that can cause uh, residents of one country, commercial or otherwise, not to want not to avoid sending their data to other countries. So let’s say we have a data center in London and a data center in Frankfurt and a data center in Milan, Italy.
Um, why do we have all those data centers? Well, German customers didn’t wanna send their, uh, precious data over the channel to London, uh, which is not an EU country anymore. They were more comfortable keeping it in Germany, uh, and our Italian customers didn’t want to send it to Germany. So we opened a data center in Italy with a partner. Uh, so we’ve been thinking about sort of these artificial barriers for a long time. Tariffs are no different. They affect the economics of the business, they affect the customers. And just knowing where those barriers are is the first step. And I’m, I’m just hopeful that we land on a solution, uh, a, uh, a, a foundation soon so we can build plans around it.
Glenn Hopper:
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Jack McCullough:
Glen, I want to keep it on tar, but changing a little bit. Ai, it seems like eventually it’ll be able to do pretty much everything, but can a, a, can AI be used strategically in, you know, enhancing supply chain visibility, uh, enabling a more rapid response to trade disruptions in other geopolitical events?
Glenn Hopper:
Yeah, so this goes back to what I was alluding to earlier, that the capability is there is whether or not it is in integrated into your data. So, you know, some examples of, uh, ways that you could use AI today is, uh, that, like the deep research tools that OpenAI has one, Google has one, uh, perplexity has one, uh, grok has one. They all have these deep search tools that will actually go away and, and research something for you and take 10 or 20 minutes to do it and come back with 30 something sources. And, um, it’s really powerful to, uh, in incited sources so that, you know, it’s not hallucinating, even though there still are some issues with hallucination of sometimes making up sources, but the, the deep <laugh>, the deep research programs have gotten a little better than that. But if you were wanting to get like, the latest news from, you know, globally on what whatever, you know, economic impact was in, in that country, you could have these research reports.
And that’s, but that’s, I mean, I’m thinking about the work that your fp and a teams have to be doing right now with, I don’t know how many versions of a forecast you could have. Like, you know, see you, it felt good. I’m sure when you got the 2025 budget done and you’re like, okay, we’ve got this nailed, and then now every, you know, few weeks, it’s, it’s changing dramatically with, you know, are we gonna be in a trade war? What’s gonna happen with this percent tariff? What’s gonna happen with that? So I would imagine that it’s just a, a bunch of Excel and whatever other, you know, systems that you’re using, doing these multiple forecasts that you can, you know, spend a week creating and then, and then end up having to, to pitch them, um, you know, when the, when the wind blows a different direction.
So I think that uses today, if it’s not integrated into your, um, you know, your historical information, you’re not able to, you know, interact with your actual data. You, you know, you could do smaller pull off, you know, a couple of revenue accounts and or small enough to stay in the context window, and you could use it as a thought partner and say, well, you know, help me come up with what would the impacts be if, um, you know, uh, we buy goods from China and the tariff goes up to 50% or whatever the, the tariff rate is, and you sort of come up with impacts of that. But as far as doing the math, you still have to step out into the other systems and do it. So see the potential there. I see long-term, yes, it’s, we’re gonna be able to use it as kind of a, a coworker and a thought partner in the space, but the, you know, for doing a whole budget, you know, uh, just, you know, budgeting revenue and, and associated expenses, it’s just, it’s too much for coming out of, um, you know, coming outta your systems and going into a web-based chat, GPT or Gemini or, or whatever.
So, you know, kind of thought partner, um, getting some ideas. But the mod, the heavy duty modeling still has to stay in systems that can do it. But again, the SaaS providers are gonna start integrating it more and it, and maybe make those tweaking the forecast a little bit easier than, than what we, we have to go through right now just by, uh, making it more accessible to more people.
Jack McCullough:
Wow. Interesting. Michael, you look like you’re maybe gonna comment on that?
Michael Bayer:
Yeah, I, I would jump in and I, I think it captures both of these. I mean, you made a comment earlier, Jack, that, um, AI was the most transformational technology that we’ve seen in our lifetimes. And I, I’m, I’m not gonna disagree with that, but I put some nuance on it. Um, I think if you go back to thinking about the Green Shade Accountant of the, of a hundred years ago, um, who’s writing a list of numbers together and how transformed their job was when the calculator came out. Uh, and then how transformed that calculating calculator using accountant’s job was when the first spreadsheet came out, um, to then think about that spreadsheet using Green Shaded Accountant when the internet came out and they could suddenly, you know, access and communicate with others. Um, these were all highly transformational. Mobile just made it more annoying because it’s with you 24 7 <laugh>.
Uh, but it didn’t actually give you anything, anything more. It feels like the AI we have today, and this references what, what Glen was saying, it’s still at that point of being a tool and, uh, perhaps a very powerful one, but it’s a tool. And I think about, you know, going back to those other examples, you know, how many hours a day of adding up columns of numbers did we solve when we made things available and put ’em in a spreadsheet and have the column just happen, did save, you know, 80% of an accountant’s days so they could start to think about things and become more of an analyst. Um, we’re probably getting there, but it’s still early. And now you have to think about what’s that? What is that AI tool actually telling me? Is it useful when we get to the transformation, is what it can do.
Things that Glen’s alluding to, which is, here’s a bunch of stuff, what should I do? Um, and it will spit out, geez, you’re really exposed to, uh, trade policies. You should be thinking about how do you rebuild your supply chain? That’s the analyst in it. And that becomes transformational when that, when I don’t need the analyst anymore. And I, it feels like we’re a ways from that. It’s not tomorrow, it’s here in 30 years. Where is it three years? Is it one year? Who knows? We have a debate about it, but it’s coming. But I think that’s what makes a transformation.
Jack McCullough:
Yeah.
Glenn Hopper:
And if you see the, you, you see a glimpse of what it’s gonna be. It’s just, it, it context window and sort of the, it’s not, it’s not deployed within our systems mm-hmm <affirmative>. Deeply yet. And it’s the sooner that we, and, you know, the, the big SaaS companies are, are kind of slow rolling it a little bit. Certainly Oracle and NetSuite are, because you can’t afford to be, you know, the, the companies, the public companies that you have. You can’t afford to have a system that is buggy and hallucinating and, and creating false. So until we kind of nail that down a little more Yeah, that’s,
Michael Bayer:
That’s interesting. But, you know, look, I’m, I’m sure none of you, uh, in the financial profession has ever made a mistake, right? <laugh>, <laugh>, um, you know, mistakes happen. And so, uh, we build up mechanisms for ensuring that they get caught called controls. Uh, they’re double checking each other’s work. They’re the, the brown m and mss. We scatter all through our organizations, um, to make sure that we’re right. And AI models today are no different from that. They make mistakes. We’re, we’re getting to that point where they’re probably on par with, you know, our decent employees, uh, and team members. Uh, well that’s great. They’re gonna have to do better than that to make us say, well, I’m gonna discount what my human analyst is saying and believe the ai. But the two of them together are a really powerful combination. And it seems like where we are today, where we advance from that we might be in a different place.
Cathy Yang:
So I was gonna make a really quick point of where we used to be hiring people to do the 10 accountants job, 10 finance people job. We have to try the person and see if that works out. Maybe it’s a good fit, maybe it’s not a good fit today with the tool, we could actually have small quick win with the tool, and we could try this AI model, we could try this capability, and then if it doesn’t work, we could change. So I think the speed of adoption has really tremendously ground and quadruple or however many times, but I think that adoption, that change and the ability to really try new things that we could turn and then is really exciting time for the finance for the CO office.
Michael Bayer:
Oh, well that’s, that, that’s the trade to hire for. Then. It’s less about the person who can, uh, build and maintain a process. It’s about the one who can envision how this works in the future and be constantly revisiting and rebuilding the process. It’s totally different skillset. A totally different
Jack McCullough:
Kind of person.
Cathy Yang:
Absolutely. I think there was a question in,
Jack McCullough:
I have one more question on Terrace, but Joe put his hand up and he is such a polite guy.
My wife does construction management for grill, large, non, and she, you know, repairs and does add-ons and things like that through this campuses. He’s elderly housing, right? And she cannot get bid from contracts because there’s so much uncertainty in pricing. And some of her contract have always said that the market is poor, pricey, uh, standard point 0.5%. And I’m wondering large corporations, fewer areas who are joining in global scale mean I, uh, your firm seems they have very high margin products. So maybe this is just around you, but the, uh, for the firms I’m dealing with in the situations I’m in, these are material impacts. And I’m just wondering how are you seeing companies, maybe your smaller suppliers deal with you around this level of uncertainty are the contract structure, are there deals structured subject to, uh, adjustment because of this? I mean, how are you about Agnes Thepoint dealing with this, particularly when you have long me time, uh, manufacturing processes these are extended delivery timeframes for competing a a deal? I’m just wondering from a very pragmatic standpoint, either what you’re encountering, what you’re seeing, and how are businesses dealing with this in the current march?
Cathy Yang:
So I’ll take a shot at first. Um, so for us, we are, as I said before, we’re actually communicating with the, the customer that we are going to reserve the ability to really add on the, the tariff charge when we see the impact that’s coming our way. So we have some customers, we do have long-term project contracts, and if we didn’t have that in the contract, we would have now going to discussions with the customer to warn them that this is coming. For sure, the next time we bid on the job, we’re going to think of that, whether it’s extra charger pricing. But right now, that’s how we’re handling it.
Michael Bayer:
And I, I, we’re not seeing it yet, but I fully expect that those costs are gonna get, um, uh, get transferred onto us as a consumer of computer hardware gear, uh, and we’ll have to assess the impact of that on our customers. Um, and there’s, there’s a certain amount of uncertainty that we as a service provider have to absorb. Uh, but that only works to a point.
Glenn Hopper:
I’m, I’m gonna go ahead. Yeah, I’m gonna be a podcast host now. <laugh>, <laugh>, I sandwiched in here. We’re surrounded, what do we do? So in manufacturing, I can see it’s, it’s just a pass through and, but yours, your capital ex, like how, like how do you factor
Michael Bayer:
In? So our customer relies on us to, um, to manage all of the difficulties of running their own data center, buying their own equipment, maintaining it, operating, et cetera. They push all of that onto us. So we’re called infrastructure as a service for a reason. We deliver a service. Uh, a portion of that is that we buy equipment, we deploy it, and then we rent it out to our customers, rent them space to store their ones and zeros, basically. Uh, will that have an impact? Sure. They’re expecting us to figure that out. And look, over the last year we’ve seen, or last, you know, last few years, uh, we’ve seen supply chain shortages and surpluses. We’ve seen uncertainty about delivery timeframes. Uh, we’ve had to manage all of that uncertainty. Um, over the past, you know, handful of quarters, uh, power prices have been up meaningfully in different parts of the world.
And all of that comes to us to manage so that we can deploy our service to our customers as one simple price. Uh, is there an expectation that if all of that comes to roost, that we have to adjust our pricing potentially, but right now it’s up to us to manage that. And so if one cost goes up, we’re gonna have to find, uh, a way to manage that on another part of our platform and just deliver that. Uh, so services have a, you know, have a different responsibility to their customers, but ultimately your customers want you to be around and in order to be around, you have to make some money somewhere. And they’re understanding that
Jack McCullough:
Good stuff. Thanks for doing my job, <laugh>, you came in, help myself, Rick, part of my field to Glen for that. So that would be great. So final question on Terrace, and I’m gonna ask it to the, the two current CFOs, uh, pricing strategies. Is this affecting your pricing strategies? Are you gonna absorb the cost? Are you gonna pass them on to your customers? Have you even thought that far through Kathy, you look very pensive. So, uh, you wanna take the first crack at it.
Cathy Yang:
Um, so we’re not necessarily going to jump into pricing increase because of the tariff charge, but as a continuing, uh, margin expansion or looking at our inflation environment, there are regularly price increase, regular price increase that we make with our customers, whether it’s short term contract, uh, pos or a long-term contract, um, but not necessarily tariff, just as a regular normal part of the business.
Michael Bayer:
Yep, Michael, and we were, we were forced into a position of having to raise our prices, uh, last year because of a number of inflationary pressures. Uh, and I think that’s fallen versus the entire, uh, SaaS and IAS industries that exist today, just costs are going up. And so eventually you have to pass those on. I think tariffs are, but one part of the uncertainty I worry, will be more about the overall inflationary impact of just the, the general macro environment. Uh, because that affects every part of our cost structure. Tariffs impact one portion of it. And so it’s the, uh, it’s the sum total of all those impacts, which would cause us to reassess pricing policy we think about all the time. But again, our customers expect us to manage that and not be constantly adjusting our prices. They’re expecting us to give them a simple, predictable price and as we deliver.
Jack McCullough:
Okay. Let’s chat a little about talent. Let’s, um, a question to all of you, and it is more opinion in nature, but where do y’all stand on the whole back to work, remote work type of thing? Do you think employees need to be in the office? All of them, some of them. Do your employees agree with your position as leaders? Um, Gwen, you want to go?
Glenn Hopper:
Yeah. Uh, so my company, Aventus Advisory Group, uh, I work with Ty there, <laugh>, we are a hundred percent about 50 employees. We are a hundred percent remote and have been since the founding of the company. And it’s, uh, I, I, I have an office outside of the house just because I can’t mix those, those two, then I, I walk my one block to my office every day, but I, I couldn’t, I mean, with, we’re, we’re on teams meetings on video all day, and I, I get that there are, there are some things you miss. One thing that I wonder about is, is junior employees like sort of the one-on-one coaching and training that it seems like, yes, you can, you can do all this remotely, but you have to plan for it more. This, the spontaneous stuff doesn’t happen. So, but as far as like the kind of work that, that we do, we could do it from anywhere. I mean, everything is cloud-based and, you know, the tools are accessible from, from anywhere. Uh, so I don’t see the, um, need productivity wise to get everybody, um, in, in the same place. But it, you know, maybe you guys are in a, in a different situation, obviously with manufacturing, can’t really do <laugh>, like, well, I I guess you could have the robots do it for
Cathy Yang:
I guess it could. Yeah. <laugh>. Yeah. So we’re, the manufacturing, the production for the workforce have always been on site. Um, and in terms of the office, the staff professional, um, functions, we are, it depends on the location, but most people are four days in the office. And we’ve been that way for I would say a couple of years. Um, here in Boston, we have a small office with small staff, and we travel all the time to, to see our sites and to see our teams globally. But really when we’re not traveling, we try to be together. It really stimulates a lot of, uh, brainstorming, really discussions. We value the time together and we have some, I would say junior or early career staff. They are very, very much appreciative our time together, because we spend a lot of time talking and really just have ideas going, and then just get synchronized on, on different pro practice, whatnot. My finance staff is across the world, so I do regular, um, virtual meetings. And we’ve been doing this since before the covid time. We actually have done, I started having remote work and I don’t know, 10, 11 years ago myself. But having this part of the joy I enjoy being a global company is the ability to really work with worldwide staff and then just have these virtual meetings and I make everyone show their camera. ’cause then we can feel like we’re in the room together to break down the silos.
Michael Bayer:
We’re a cloud company, so by design from the very get go, we were remote friendly, it was called back then, we made it part of the culture when the pandemic first hit, I think we had just shy of a hundred people today we’re over 450, uh, which means that three 50 of them were hired during the, uh, during, in a remote era. And so that was part of the compact with them. Uh, it means that we’ve hired people, uh, who were comfortable in a remote environment. Now that doesn’t mean we haven’t had to make shifts. Um, I, I think the point about junior employees is the biggest one. Where do they get the training? Where do they get the tap on the shoulder? Just that I used to do, just walking down the hallway with a banker or with a partner, whoever it was, uh, and say, Hey, John, come on, join us in this meeting.
Um, just so you can hear what a CFO talks to a banker about. And just get some experience that way. Uh, or the little things that we overhear in the hallway. Uh, a question that you kind of key into and say, huh, you know, that question could use a little bit of refinement. Or maybe there’s a different answer. Those moments are gone. And so they have to be done by design. We did a fundraising, uh, where we had diligence going on completely remotely. Uh, and, uh, at, in the early days of the diligence, as we were pulling around together, uh, I would get on calls with investors where they had one or two people on a diligence team, and I had nine or 10 people from the finance team on the call. It wasn’t, not like we needed nine or 10 people there, but it was really important for me to design a process where they could all feel like they were part of that round to learn from the experience, be part of the questions, part of the answers.
Uh, and I watched as one of our, uh, analysts in particular just shine in communicating the very, you know, gut details of how our transactions worked to investors who were pretty tough customers. Um, I might not even have had that experience before had we not been in this remote era. Mm. Uh, so we’ve got a team that’s, uh, global, uh, in, uh, tens of companies, excuse countries around the globe. Uh, most of that’s go to market, but we have a finance team that’s distributed across the US and across the world. We just make it work. It just, it, it’s gotta be intentional. And we do provide office environments for those folks who are more comfortable going into the office, but just have to be very thoughtful about the experience. Mm-hmm <affirmative>.
Jack McCullough:
Another question for you In, um, the, the talent area. Young professionals aren’t entering the world of accounting anymore. In fact, I heard a statistic that I thought had to be wrong, um, but I double checked. It was right. It was something like 70% of CPAs are gonna retire in the next seven years. Uh, it was a bit scary, but young people just aren’t going into the profession. So how are your organizations preparing for what are likely to be historically unprecedented, unprecedented, uh, talent shortages in the accounting area? Um, why don’t we, Michael, you’re on the floor. Why don’t you stop this one? Um, and I think you, we have non CPAs here too. Yeah, I’m not, I’m not a CPA. Are you Kathy? Okay. I’m the only CPA and I haven’t been one since the nineties, so, which is good for the profession. I thank Yeah.
Michael Bayer:
<laugh>. Oh, well,
Jack McCullough:
Well that was
Michael Bayer:
Michael Bayer. I’ll <laugh>. Jack and I have been friends for so many decades. I feel like you can say that. Uh, look, I, I think the, uh, accounting professional, the profession is going to suffer, um, from a talent shortage. And, and it’s clear they’re doing things to address that. They’re lightning, the college requirements for it. Uh, they’re, they’re looking at how do they, um, figure out exactly what skills an accountant needs to come to the market with. Uh, and in my, in my copious spare time, I also teach a class at a local business school. And so I see this not just from a, the perspective of a hiring manager and a, and an engaging manager purchasing accounting services, but also thinking about what the students are interested in. I think you’re right. They’re just not interested in the accounting profession today. Um, you listen to the things that, you know, Glenn and his colleagues talk about, about what the world will turn into, uh, as we unleash, uh, ag agentic ai, and other forms of AI into it.
And it might get exciting again. Uh, you think about the farmers of long ago, uh, it wasn’t all that fun to wake up early in the morning, uh, and fill the fields all day. Uh, but now there’s a whole field of computer science that’s around how do you optimize the performance of, you know, an acre of land, uh, and data science that goes into it. It’s just a different way of approaching it. And I think we’re gonna see the same kinds of transformation of that profession. How do we as a company deal with that? Uh, again, it gets back to a real focus on hiring people who have a growth mindset, who are the right people for the job. Not today, not tomorrow, but two or three years from now. The ones that love to learn, um, that love to be on the edge of technology about doing something that’s interesting and the ones that frankly don’t want to be doing the data processing, which was the defining skillset of kind of the last generation of employees. Great. Kathy?
Cathy Yang:
So, building upon what Michael said, um, so it’s very, it’s more difficult now to bring on accounting background folks. When we do have them into the, into the company, what we do is we provide these, um, who are hired in as accounting accountants or accounting manager of a career progression or opportunities to see how accounting is being utilized as a finance person, a business partner for the business. So we very intentionally allow opportunities for them to work with a business, to work with sales or other functions to really build in a p and a function. So to broaden their visibility, their exposure, to really be more, to think of accounting with more practical application in the finance profession, and to allow them to see the other side. Um, and I, we, we do so by hoping that they become the ambassador of us to hire more accountants or accounting background folks into the, into the company.
Glenn Hopper:
And I guess with, uh, you know, we are a financial advisory services firm, so we, we have CPAs that we, you know, that’s a position that, that we have to fill. But we also, you know, knowing where the market is now, and certainly, um, junior CPAs are demanding a lot more income now than they did just a few years ago. As the shortage comes, I mean, the market is, uh, you know, they’re, they’re at a premium. Um, but we also hire people who, um, don’t yet have their CPAs and, you know, maybe even junior accountants and that are working on their CPA at various levels and, and bringing them up. And I think, but we’re also looking at, okay, if, if, if we can’t staff accordingly, um, how else are we gonna get the work done? So we are, for the first time, we’re doing some, um, offshoring and nearshoring, um, and, uh, having, having really good success with that outta the gates, but also we are building out a platform we’re testing now, and we haven’t rolled this out to any customers, but areas where we can use AI to streamline workflows.
And we’re trying, because we serve so many clients, it’s, we, we we’re trying to approach it in a way that can be, you know, we’re, hadie and I were talking right before this about, you know, e everybody’s chart of accounts being different and all the mapping that we have to do, um, to, to bring them into a system. But what are ways that we can automate this? And we’re using some ai, some rule-based stuff, but trying to build out a, you know, a, a system where it doesn’t matter what the input is, we run it through our, kind of our sausage making process and have standardized outputs, um, regardless of what your chart of accounts looks like or what industry you’re in and all that. And that’s, we we’re investing the, the time and, and money into that now because we know, you know, in, in the, well one, margins are, you know, getting squeezed in the, in a business, especially if there’s a downturn in economics. And we’re, and we’re leaning, trying to move away from like time and materials pricing to value-based pricing. And so we’re constantly looking at ways that we can increase margin and, and deliver a, a faster, more efficient product. So this, it kind of goes along, you know, whether there was a shortage or not this, we’d still be doing this work, but hopefully with those solutions in place, I mean, we, we haven’t felt a hiccup from it yet. That’s great. Sorry, I’ve, uh,
Jack McCullough:
Joe, one of the expectations of young people today is that a lot of stuff is gonna get automated away, uh, either through, uh, machine learning, ai or just computer, uh, computer activities. So a, a field like accounting can sound very risk risky because it’s, it’s associated with transactional activity, reporting everything that is gonna disappear, uh, uh, at the human level over the next five to 10 years. Therefore, I will be redundant and laid off in, in no short order. So, uh, unless the profe, unless the industry figures out a way to get past that point with, uh, uh, potential, uh, young people, it’s gonna be tough to attract people. And putting aside the CPA standards and all the stuff that the, it’s not a sexy place. People are not that excited about it, but that, that’s a fundamental issue. Uh, when I talk to people, they’re nervous about, uh, the fact that a lot of this work can get automated away or AI away at some point.
The other thing I think is companies are not doing what they used to do because everything’s more quarterly based and transactional now, a lot of the larger corporations used to have programs to develop town internally, and these were formal programs designed to, uh, enhance professional development, to cross train people in different departments and things like that. So I don’t see that much anymore. And that seems to have disappeared in the last 20, 30 years. And I’m just wondering from, from the two, uh, practicing CFOs here, what are your thoughts on trying to minimize this risk or placate this risk at the low end when they’re coming in and then trying to help make this case that this profession could develop you in my work environment?
Michael Bayer:
So I, I, I guess I’d answer that. I, I, I might have a slightly different view. Uh, and I, I’m not, I wouldn’t say it’s narrowed by thinking about accountants. Um, I, I don’t wanna offend anyone on my team, but I don’t hire accountants. I hire economists. I hire people who understand the flow of business. Um, finance is just applied economics, uh, and accounting is sort of the detail underneath it. So you can make good economic decisions, um, in that framework. And I think what we look for, uh, are people who can learn. The junior folks obviously need some time to understand how do those flows work, but it’s got to be coupled with whether it’s formal or informal development activities with, you know, a sense that they’re always learning and on the edge. So it’s a very conscious effort that I make, uh, myself and also the, the leaders in our organization to make sure they’re always opportunities to learn, opportunities to sort of expand.
Um, I, I think, you know, your, your view of no more training programs, I, I, I think there’s, you know, my sense is from having two sons that graduated from college in the past, you know, know in recent history, uh, there were lots of training programs they could have gotten into. They just weren’t interested in that. They wanted to get to real applied skills and real jobs, if you will, where they were active at the beginning. Uh, but there are still plenty of options for students that wanna come out of college or other, you know, uh, other development activities and go into something and, you know, be engaged in a training program. This might be a little bit different. Uh, and I’ll say, you know, I, we’re, we’re a proud client of one of the big four, I won’t mention it to be careful of sponsorships here, uh, but they’ve got a massive university approach to training their teams, uh, where they’re aggressively investing in training, um, uh, students that come out of all walks of life as juniors, but also engaging in their whole, their whole career progression with a lot of training. Now, the CPA, that’s, but as it, as an employer, you know, again, it’s up to us to be thinking about the career pathing and the skills development and, uh, allowing our team members to engage in lots of different things that keep that, that interest satiated. And particularly if you hire really good people that are really smart and, you know, wanna learn things, you have to teach them all the time.
Cathy Yang:
So I do view, um, people besides what we do as a company, is a number one asset for us. Um, we look for those who are curious, open-minded, and able to go with change or lead change, be the change agent. So personally, I’ve never been a, a, like a formal development program and I’ve been part of large companies, but I know that there are opportunities that’s given to me as I started my career. And that’s the, the, the philosophy, the value that I try to apply with my current organization and then previously. And that’s always the, the thing is to intentionally give those opportunities to go cross-function or to try different disciplines within the finance organization, and not only just be in the office, but really to be with the team, with the business, learn from different things. And oftentimes, I would actually, we would actually try to give people spot project, uh, outside of their current role so that they can try something out for a period of time or to observe on a particular process so that they can be visible and exposed to those. And that’s how I think that there’s not a, even without a formal program, I think there are ways, um, and I view that as my responsibility as the CFO to allow that to happen, to force that to happen, to encourage that to happen within the company.
Jack McCullough:
Uh, I hate to be the bearer of bad news, but we do not have time to cover taxes. <laugh>. Thank you, Jill <laugh>. Uh, but we do have time. It’s, uh, we have about eight minutes left. I want to give a a little bit of time for wrap up, but is there a, a final question on any of these topics?
Cathy Yang:
Um, Kathy, you talked a little bit about passing it on to the customer. Does the customer at some point go, I’m done. I mean, have you planned that in there as well? Yes, we have. Um, I think that’s probably at tracks on this is what we offer to the customers are a very customized, um, solutions. So not that we will feel that it’s a given, or we take that a given to pass everything on to the customer. And this is where we would trust that there is a good relationship. We would be very transparent with the customer and make the, help the customer understand that we’re experiencing the pain and to, if we have to meet in the middle, but really to go through with, um, some discussions. Now, if we consider a price increase, it’s the same that we don’t just bluntly increase price. There is going to be justification or the case that’s made so that we would help the customer understand that we are ultimately trying to make money for our business, and this is a partnership. We value that far partnership, therefore, um, have not experienced that type of a pushback so far.
Jack McCullough:
That’s great. Any last questions? Not, um, we have about five minutes left. And, and Glenn, I thought since you, even though I was the moderator, you’re kind of the host and the start of the event. Uh, well first of all, I, I do want to thank data Rails for making today possible, where are my manner? So thank you for all of your support in, in putting this together. I also wanna thank all of you for coming and being part of the audience. And Glenn, if you just, you know, wanna share some closing comments.
Glenn Hopper:
Yeah. Um, actually I didn’t really prepare anything for this. Um, I’m extemporaneously, yeah, <laugh>, I’m gonna break into song here. I <laugh> I can ask Chachi PT to help me with some closing remarks here. Um, no, I want to echo what, uh, what Jack said Thank you data rails for putting on this event. And, uh, thank you all for, for coming out and taking some time outta your day to day. And I think, you know, the uncertainty at this, at this point in 2025, it feels like, you know, we’ve, those of us who’ve been doing this a while, we had, you know, I, I go back to this isn’t, you know, 2008, 2009, which is my first <laugh> CFO, uh, role was a little bit dicey in an over leveraged business that was doing a lot of construction in that period was, uh, a a little bit scary.
But I, you know, the uncertainty that’s out there, you know, we at least kind of knew what we were dealing with them once, once it happened and working our way through it. And now as we try to plan for differing futures, I’m, uh, I think I’m maybe a little relieved that I’m not sitting in the C ffo seat right now trying to <laugh> answer a board and management questions and trying to figure out the impact of all this. I mean, just thinking about, you know, passing on costs and, and, and, and getting to the, the basic economics of, you know, what happens if there’s a global trade war, if these tariffs go in and, and kind of factoring all this. And there’s only, you know, you can model all these different scenarios, but it’s trying to navigate, um, limited resources through this. Uh, I’m, uh, I admire the work that you guys and that, uh, everyone’s that’s sitting in the seated company is, is doing right now. So thank you all for coming out and, uh, it was great to hear your insights on this, um, for you guys. And, and thank you for the questions as well. So, uh, with that we do have, um, a networking event. Event mind, forgive the
Jack McCullough:
Interruption. Yeah, I apparently missed it. I apologize, <laugh>.
Speaker 5:
So, um, Claudia Russell, nice to meet you and thank you for putting this together, Jack. Um, why am I getting credit for this? <laugh> <laugh>, it’s all of you for attending. Thank you. Um, the, the industry, uh, literature is stating that most CFOs are staying in corporations for an average of two to three years. Um, and it, it’s kind of like a rolling rack in terms of CFOs and, and their, how long they sit at the table. Um, what is your opinion in terms of the CFO profession and where it’s going? I know we talked about the accounting profession and CPAs, and I’m actually a CPA myself, but what do you think about the whole CFO and their seat at the table?
Michael Bayer:
I’m not sure where even start with that.
Glenn Hopper:
Yeah, <laugh>,
Michael Bayer:
I, I, I’ve been doing what I’ve been doing as a CFO here at the same company for, uh, going on seven years now at the same company. It’s a long time for me. Usually early stage companies bring in a CFO to facilitate a transaction, uh, which is something that I’ve done a few times along the way. We’re in no rush to do that, but I sit ready to do that when it’s appropriate. Um, I, I think, um, I, I aspire to be with hypergrowth companies, uh, and that’s what’s really exciting. And, you know, I’m deeply engaged in what I do because it’s hypergrowth, it’s something new every single day. Uh, I get the, uh, the pleasure of working with a team that I’ve been able to, you know, attract and I get to work with every day. And, um, and they’re just, they’re fantastic. You know, why would I, why would I do something different?
Uh, now I know that the CFO track can be one that’s a mill because oftentimes, you know, you miss your number, first one to go, you know, first you take out the head of sales, then you take out CFO, and then you take out CEO. It’s always, that’s, that’s the order, right? Uh, and so a lot of companies are missing their numbers. Uh, anything as the CFO has become more strategic and, you know, a, a bigger role, you hear the CFOs, the new CIO, the CFO is the COO, the, you know, the, the COFO has emerged as a role. Uh, there’s one at Salesforce. Uh, look, it’s a, it’s a broad and encompassing role, uh, that’s becoming more and more interesting as there’s more of a story to tell and more uncertainty out there and all that. Uh, why would you leave?
Cathy Yang:
So my journey CFO journey is slightly different in that, so I have been CFO for PE portfolio companies. So by definition, um, the role is going to turn right and, but what I, what inspires me to what I value when I select my next journey and is I’m looking for the long term for the team, for the business. So my, I go in with, there’s growth of the company, there’s value creation for me and there’s the people that I wanna work with. I have tendency to lean towards global companies and buy now probably more manufacturing thing, but really is work, working with the team, working with exciting product, with the growth industry. That’s where I wanted to be in. And whether it is going to be a two, three or five years, depending on the journey of that portfolio company within the PE investment is not something that I set a timeline for myself.
I go in from day one to the last day with my a hundred percent, 200%, and I enjoy it. And I think we are in a evolving time for A CFO even today where 75 minutes we intend to cover four topic, but we only were able to cover three. And I think these four are not the only topics we get to deal with on a daily basis. So there’s so much to talk about that we deal with, and it’s very, I personally found it very interesting and exciting on the day-to-day. There’s so many to tackle and it is, um, good that we have team, we have experts around us to find these supports.
Glenn Hopper:
Yeah, the only thing I would add to it is, uh, I also worked for PE backed companies, A-C-C-F-O, and I was brought in usually when an investment was getting long in the tooth and they needed something to happen. So one kind of a real turnaround, but a lot of times it was just, let’s get this company ready to sell. So I was personally bringing the, uh, number down in with 26 CFO positions. Jack, I’m guessing that you are probably the reason I think you, they take you as an outlier out of the mix and it’s, the tenure probably goes up to at least three and a half years, I think. Yeah, I, if
Jack McCullough:
People are, he’s 107 years old, if you have 26 years, I was the contract CFO like Joe. And so Joe, you have like two or three clients at a given point in time, right? Well, I have, I have like two or three clients. I have usually three to four, uh, occasional clients that are on a, a, you know, monthly basis. I might do a few hours. Yeah. So if my 26th, like I, I would have two or three part-time plus I, I did, I was basically incompetent and I did hire free, free <laugh> as long as we’re being honest yet. So, no, there’s a great, I actually wrote a paper predicting what the CFO role would look like in 2030. I wrote it in 2020. Doesn’t look like I did a great job on it, but I’ll be happy to share that with you.
<laugh>. I did, I did the same thing in 2010 about what the role would look like in 2020. I destroyed any evidence that that thing ever <laugh>, I was completely off 2020. I did a mediocre job that looks like. So, uh, I think with that, that’s a great way to end it. Uh, thank you again everybody. Uh, we went a little over. I, I think, uh, some of us need to leave, but there are a few of us we’re gonna hang out and, and network and if you wanna ask questions directly, that would be fine. I’m told we have the room till 11 o’clock tonight, so let’s <laugh>. Yeah. Thanks everybody. Thanks.
Cathy Yang:
Good job,
Jack McCullough:
Man.
Glenn Hopper:
Okay. Thank you.
