In short
Basis (AI for accounting) and why AI won’t replace accountants; it should reduce compliance busywork, address a looming accountant shortage, and let firms deliver more advisory value.
Guest backgrounds
Matt Harpe is co-founder and CEO of Basis. He has no accounting background; he studied machine learning in healthcare (mortality trends around the opiate epidemic), worked at Boston Consulting Group on healthcare/pharma methodology, and later got introduced to accounting through work with health systems. Co-founder Mitch studied accounting and worked at an accounting technology company.
Key claims
The U.S. has ~3M accountants and they’re swamped by compliance (financial statements, audits, tax returns, 990s, governmental filings). ~300k retired over two years; ~75% may retire in the next decade, worsening shortages. Basis uses “agentic” reasoning systems (not a chatbot) and local context to automate grueling verification workflows. Basis raised $100M at a $1.15B valuation and is used by ~30% of the top 25 firms and ~25% of the top 150.
Notable examples
Hospitals can’t answer basic cost questions (e.g., procedure cost), which Harpe frames as an accounting/systematization problem. Basis automates document-by-document event verification (thousands of transactions/contracts), triaging what’s certain vs uncertain so accountants can sign off in minutes instead of hours.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Role of Basis in Accounting
0:45 to 1:30
Discussion on how Basis aims to assist accountants by reducing busywork.
“He says that as the number of accountants shrinks, he can help firms do more with an assist from AI.”
Understanding AI's Impact on Accounting
1:30 to 2:15
Exploration of AI's integration into accounting firms and its effects.
“who punch above their weight to take on the status quo.”
Matt Harpe's Journey to Accounting
2:15 to 3:16
Matt shares his background and how he became interested in accounting.
“Yeah, so Mitch, I started the company with Mitch in 23.”
Challenges Facing Accountants Today
3:16 to 4:23
Discussion of the challenges accountants face, including a shortage of talent.
“And this is just ridiculous because if you're a hospital, you should have at least two goals in my mind.”
The Future of Accounting and AI
4:23 to 5:32
Discussion on the future of accounting as AI continues to evolve.
“and then help you in making decisions about your organization that just doesn't get done.”
The Importance of Accounting in Society
5:32 to 6:21
Matt emphasizes the critical role of accounting in the economy.
“And so that was kind of how I first got introduced to accounting and we started working on some things.”
Factors Behind the Decline of Accountants
6:21 to 7:22
Analysis of the factors contributing to the decline in accounting professionals.
“There was a period of two years where roughly 300 ,000 accountants retired, which is a pretty significant number of people.”
Addressing Accountant Burnout
7:22 to 8:21
Discussion on burnout among accountants and its effect on the profession.
“Yeah, so I think, again, there are multiple factors that converge there.”
Basis's Solution for Accountants
8:21 to 9:47
How Basis addresses the challenges faced by accountants through technology.
“And I think a large part of the reason that's true is because of the seasonality, but also because so much of the work that accountants do.”
Real-World Applications of Basis
9:47 to 11:23
Examples of how Basis automates tedious accounting tasks for greater efficiency.
“aha moment help that Basis provides that gets customers excited?”
Show all 23 chapters
The Entrepreneurial Spirit of Matt Harpe
11:23 to 12:21
Matt shares his entrepreneurial goals and motivations behind Basis.
“huge component of the accounting industry today, even though we still have three million plus accountants in the US, more than one in a hundred American adults is an accountant.”
The Evolution of Accounting Processes
14:00 to 16:41
Learn how AI is transforming traditional accounting tasks into efficient processes.
“and then be able to sign off and say this thing is done.”
Matt's Journey into Entrepreneurship
16:41 to 21:23
Discover Matt's early motivations for becoming an entrepreneur and his interests.
“Was there any moment for you where you were like, do I want to spend 10 years of my life focused on accounting specifically?”
Building a Team at Basis
21:23 to 22:22
Understand the approach Basis takes to attract top talent in AI.
“And I think of places that are headquartered in New York and have all of their core research and engineering efforts in New York City.”
Building a Team at Basis
22:25 to 22:35
Understand the approach Basis takes to attract top talent in AI.
“and get AI that turns insights into action.”
Initial Customer Engagement and Feedback
22:39 to 28:00
Explore how Basis engages with clients and refines their product through feedback.
“At the same time, are you now meeting with these big accounting firms, trying to sell them a vision?”
Building the Foundation of BASIS
28:00 to 28:38
Learn about the early challenges and key decisions in developing BASIS.
“that they could then use to do work on a specific entity.”
The Journey of Automation in Accounting
28:38 to 31:06
Explore the journey of BASIS towards automation and the resistance faced.
“I think a lot of people thought that what we should be doing in the early days was just building a chatbot for accountants like other people were doing for other disciplines.”
Outcome-Based Pricing Models
31:06 to 33:19
Understand the challenges and benefits of outcome-based pricing in startups.
“One of the big problems with outcome pricing is for some startups, it's not easy to prove exactly what the value is that you're generating, right?”
Defensibility in Accounting AI
33:19 to 36:24
Discuss the defensibility of BASIS against larger competitors and evolving business models.
“direction than they have gone towards outcomes.”
The Future of AI in Specialized Fields
36:24 to 39:24
Examine the potential for future AI companies in specialized roles beyond accounting.
“I think those two questions are very important to answer.”
The Role of Accountants in an AI-Driven Future
39:24 to 42:01
Learn about the evolving role of accountants with AI and the associated benefits.
“And I think that's why it's very important to think about how defensible is this against the large labs and how defensible is this business model as the cost of building software goes down dramatically.”
The Future of Accountants in an AI World
42:01 to 42:51
Discover how AI will enhance the role of accountants, allowing them to focus on meaningful relationships and tasks.
“and the actual, all the things you mentioned earlier about how busy folks are and how they, you know, they just have to focus on keeping up as they're going through various busy seasons.”
Transcript
Automatic transcript. May contain errors.0:00Matt Harpe:I do think that accounting is extremely important. It's underappreciated. And I think that this North Star of, hey, we're going to help, you know, organizations like, you know, health systems that I used to work with truly understand how the organization functions and allow them to measure the core goals that they should be tracking against so that they can make better decisions. To me, I do think that's a very important part of how our economy works. The U.S. has 3 million accountants, and they all have a problem. They're swamped by busy work. An AI startup called Basis wants to help those accountants spend more time on the stuff they really care about, advising clients, getting more work done, and keeping all of us in the good graces of the IRS.
0:36Toward that goal, Basis recently raised$100 million at a$1.15 billion valuation. And our guest today is the co-founder and CEO of Basis, Matt Harp. He says that as the number of accountants shrinks, he can help firms do more with an assist from AI.
0:50Matt Harpe:When we started Basis, I think very few companies and certainly very few accounting firms were interested in doing AI for the sake of doing AI. Now everyone's board, every leadership team is thinking about how do we incorporate AI into what we're doing. But that wasn't true when we started. Today on the podcast, we're going to talk about why accounting is the perfect vertical for AI impact, how to recruit top talent in an unsexy problem like accounting, and why Matt thinks he can win where a whole wave of startups didn't succeed. plus how basis can compete as Claude and ChatGPT inevitably move in on its clients.
1:24I'm Alex Conrad, founder and editor of Upstarts Media, and this is the Upstarts Podcast, our weekly show where we talk to startup founders who punch above their weight to take on the status quo. Matt, welcome to the podcast. Alex, thank you for having me. It's a pleasure to be here. This episode is brought to you by Rippling AI, the only AI built to give you full visibility into your startup and the ability to take action across every department. So what is the basis of Basis?
1:50Matt Harpe:Great question. So we like to think about Basis as the most accurate and capable AI for accounting. We serve accounting teams across the country. We're currently in about 30 % of the top 25 accounting firms and about 25 % of the top 150 firms in the country. And we're growing quickly. So you started this company with two co-founders in 2023. Was accounting something you were always deeply passionate about? Or where does the origin of Basis come from? Yeah, so Mitch, I started the company with Mitch in 23. Mitch has some background in accounting. He studied accounting undergrad and was at an accounting technology company.
2:22Matt Harpe:So he had a fair amount of background there. I have no background in accounting at all. I got introduced in a relatively circuitous manner. My interest sort of academically was on machine learning topics in healthcare, was focused on a set of mortality trends around the opiate epidemic in the US, ended up doing a whole bunch of work there while I was in undergrad, and then went to the Boston Consulting Group to sort of work on sort of similar methodological type problems in and around healthcare, spent a lot of time working with health systems and pharma companies. And ironically, through that process, I ended up getting introduced to accounting.
2:55Matt Harpe:So we oftentimes have to interface with accounting teams. And this actually had nothing to do with what we were working on at the time, but I had a kind of crazy realization in that process, which is that I kind of learned that if you go to any hospital in the US and just ask what I thought was a very simple question, which is how much does it cost us as a hospital system to provide a procedure to a patient? There's really no hospital in America or very few hospitals in America that can actually answer this question. And this is just ridiculous because if you're a hospital, you should have at least two goals in my mind.
3:24Matt Harpe:Increase the quality of care for your patients and reduce the cost of care for your patients. And if you don't know how much things cost in the first place, you really have no idea if you're actually improving or getting better or getting worse at one of your core outcomes over any given period of time. And it turns out that, at least in our view, this is largely an accounting challenge. The job of accounting is to structure and systematize all the economic activity that happens in and around your organization so that you can understand that information, you can do things with what's going on.
3:51Matt Harpe:But there's only so much time in the day and accountants only have so much capacity. And so the 3 million accountants that we have in the U.S. predominantly spend their time working on accounting in and around what we call the compliance activities. You have to do certain structuring and systematizing to prepare a set of financials to be audited so people can trust what it is that you're reporting to prepare a tax return or a 990 or some kind of governmental filings that you can participate in our system of taxation. But there's all this other accounting work, some of which gets done, but a lot of which doesn't, which involves other forms of structuring and systematizing this economic activity that's actually quite valuable, that can allow you to better understand your organization and different aspects of it and how it may be changing over time and then help you in making decisions about your organization that just doesn't get done.
4:39Matt Harpe:If we had 30 million accountants, maybe we could go do all that work, but we have 3 million and actually the number is rapidly declining. We have a pretty significant shortage of accountants even to do the work that exists today. And so I became quite interested in this topic in terms of the sort of foundational aspect of accounting and how most organizations operate. And ultimately, the way that our economy is organized is that we sort of decentralize decision making down to these various organizations that are then sort of taking local inputs and making decisions based off of them. And accounting is really the language we use to sort of structure and systematize those local inputs.
5:12Matt Harpe:And so I became quite interested in accounting from that aspect. And then through conversations with Mitch, started to learn sort of the state of accounting technology and the extent to which there were many processes, which even at that point felt like some of the emerging abilities of these large models could start to help with. And we felt like it would just become clearer and clearer over time. And so we felt like there was a big opportunity to make accounting a lot more efficient and effective in what it did, but also just to sort of help increase the total volume of accounting in the world.
5:41Matt Harpe:And so that was kind of how I first got introduced to accounting and we started working on some things. And then one thing led to the next. Why should people be rooting for accounting AI to succeed? Why is your product needed so badly in this wider ecosystem, you know, really zooming out? The first way to look at it is just if you look at the accounting work that absolutely has to get done and that historically has gotten done, And core things like companies being able to produce financials, those financials being able to be audited and verified. Our whole system of taxation runs off of accounting.
6:14Matt Harpe:And a number of the ways that we understand all the various organizations in society are all downstream of accounting. And so a lot of that work is actually at risk because we have a relatively significant shortage of accountants in the U.S. There was a period of two years where roughly 300 ,000 accountants retired, which is a pretty significant number of people. the number of people studying accounting is not going up. In most years, it's gone down. I think there was actually a little bit of a blip and it went up for one year, which was fantastic. Demographically speaking, they say you never know exactly how to interpret these demographic estimates, but maybe 75 % of all accountants will retire in the next 10 years.
6:50Matt Harpe:And there are not enough folks to replace them. And so really the sort of core way that a lot of our economic infrastructure, that our economy and our broader society are organized is at risk because we don't have enough accountants. And so maybe, you know, challenge number one is, is there a way to help offset the declining population of accountants by allowing AI to help take on a bunch of those workflows? Why are there no accountants? Is it because we've offshored a lot of this work, or it's just not considered, you know, high salary valuable enough? Or is it just miserable work? Like, why is there such a gap to the best of the research you've been able to find?
7:25Matt Harpe:Yeah, so I think, again, there are multiple factors that converge there. Some of these are relatively longstanding trends in terms of the things that people, the different careers that people have been going into. But I do think one thing that probably should not be under underrated is, you know, being an accountant is a tough job. And the ups and downs, the sort of seasonality of the profession, you know, lead a lot of folks to get frustrated. And I think to consider moving on to other professions or to retire early, I think there were some really interesting stats that came out of the sort of the recent tax season.
7:58Matt Harpe:Tax is probably the most seasonal of all the accounting disciplines because obviously it's concentrated around certain windows of the year. And the number of accountants who experienced either burnout, mental health challenges, sort of having thoughts of leaving the profession is remarkably high. I think it's over 50 % of said surveyed accountants. I don't know exactly if that number is right or not, but we can say that there are a lot of people who feel this way. And I think a large part of the reason that's true is because of the seasonality, but also because so much of the work that accountants do.
8:28Matt Harpe:I think accountants feel like, how is there not technology that can help automate a lot of the more manual aspects of these things, the more grueling aspects of the work? And you probably would think that in the year 2026, we would have technology that can do this. I think Basis is solving a lot of those problems and is really the first technology to actually solve a lot of these things that you'd expect to be automated. But historically, the technology hasn't been there to do it. And I think as we're able to show accountants that they can spend time on the parts of the job that they really enjoy, advising clients, thinking about strategy, orchestrating these systems that are working to produce a great result for their clients or for their company, more and more people will actually want to stay in the profession.
9:06Matt Harpe:And hopefully we can convince more and more people to join the profession. But I think historically that has been a big source of why people have been frustrated with their experience over time and why a lot of people are considering or have left the profession. now my experience with accountants is that they are overwhelmed don't have time to necessarily play around with a lot of tools they're looking for very basic things like how can i share files with them a little faster but but they're not necessarily these accounts that upstars has worked with they are really busy people and they're maybe a little skeptical of you know whatever new technological trend might come pitch them what has been the door opener or sort of the really aha moment help that Basis provides that gets customers excited?
9:52Matt Harpe:It's interesting because when we started Basis, I think very few companies and certainly very few accounting firms were interested in doing AI for the sake of doing AI. Now everyone's board, every leadership team is thinking about how do we incorporate AI into what we're doing, but that wasn't true when we started. And I think one of the reasons that we were able to so quickly build trust with firms, deploy to firms, and start to see some of the traction that allowed us to continue to grow the company was the fact that this shortage of accountants was really impacting a lot of the firms that we were working with.
10:27Matt Harpe:So if you are an accounting firm, the way that you continue to grow your business is you hire great new accountants, they come to join the firm, and now you're able to serve more people and now your firm can grow. And if all of a sudden you're finding it really difficult to hire folks and you have relatively high attrition rates, especially coming out of COVID and in the years sort of succeeding it, that becomes one of the top priorities for you to solve in the organization. And you don't have that many options for how to solve it. It's very difficult for you as one firm to go convince a bunch of people to start studying accounting and go through the process of becoming a CPA.
11:01Matt Harpe:So that is maybe not an option that's really on the table if you want to have immediate impact. You could potentially offshore these jobs to another country. And there's a whole set of complexity that comes with that. And that is a pretty big industry, right? I mean, there is a lot of offshoring. A hundred percent. And, you know, especially the largest firms have invested a lot in offshoring overseas. And that's been successful in some ways and unsuccessful in other ways, but certainly a huge component of the accounting industry today, even though we still have three million plus accountants in the US, more than one in a hundred American adults is an accountant.
11:31Matt Harpe:You know, because this was an issue that was, you know, top one, two, three issue for most accounting firm leaders. And we were able to say, hey, we think we can, A, help make a lot of these manual processes more efficient, which is going to allow you to continue to grow your firm despite the fact that you have massive hiring challenges. B, take away a lot of the sort of more manual aspects of the job that people don't enjoy that causes folks to consider leaving the profession or consider going elsewhere. And C, give you an opportunity to invest in your people so that they can actually learn the sort of most cutting edge technology, and then hopefully that is a competitive advantage from a hiring perspective, I think that got people really excited.
12:11Matt Harpe:And when we were able to show that we could actually make an sort of an aggregate impact on the entire practice, change the sort of efficiency profile of the entire practice, not just pick one sort of niche workflow that wouldn't have any total impact on efficiency, I think that made a lot of firms open to considering something that maybe wouldn't have been a top priority for them at the moment. We've had people on the show in all sorts of areas of software and also these sort of vertical softwares like, you know, Harvey in legal for people who are not accountants themselves. Can you give an example of the kind of annoying process or task that would have been really tedious to do manually and now is automated through basis in a way that, you know, makes them a lot more productive and happier?
12:54Matt Harpe:We often think about a lot of accounting processes or you have to take information that's happening, all this complex information that's happening in the real world. I work at an organization. I sweat my credit card for something or I sign a contract with someone. And we need to figure out how do we actually recognize that event in a way that we can structure and everyone can understand. And then once we have that information stored in a way that we can understand, in order to know that we've done things correctly, we need to go back and verify that that information was properly structured and systematized.
13:25Matt Harpe:So you can imagine that, you know, we might have thousands of these events and we now need to go back through all of them to make sure that each one of them is supported by, you know, a piece of corroborating evidence. And that can involve just pulling up documents side by side and looking at all those documents. And then when something doesn't make sense, going into a system and pulling up some other information and clicking around in a bunch of different in a bunch of these different stores of information. That is a very grueling process that involves, you know, you sort of double checking numbers and clicking a whole bunch of buttons.
13:54Matt Harpe:And basis can essentially just end and do that entire process, present the results to an accountant, show them what it's certain and uncertain about and allow them to very quickly triage their time to only the most important things. and then be able to sign off and say this thing is done. And so there are these types of processes that might otherwise take 10 hours, 100 hours, depending on the volume, that now can be done in a matter of minutes with extremely high levels of accuracy and still giving the accountants the information they need to know in order to be really confident in the things that they're doing.
14:24Was your goal to be an entrepreneur and you just sort of back into accounting because it is this big need in the healthcare space? Or what was sort of the mission that a younger Matt had for their career?
14:37Matt Harpe:I think the thing that I was always very interested in was one, building things. I think there's something very cool about figuring out how to create something that doesn't yet exist in the world and something that other people value. And that maybe means that there's some kind of counterfactual impact where like, if this hadn't been done, then maybe things would have gone in a slightly different direction. And so I think I've always just found that to be really exciting, whether it's building Legos or building some piece of software or building, I don't know, a book of Sudokos. There are a lot of things that I just think creating is fun and interesting.
15:13Matt Harpe:And so I think being part of some kind of organization that's building and creating things is always interesting. I think second of all, I think I quickly realized as I worked in various companies that being in some kind of organization where the inputs that you put in could directly correlate with the outputs that you got out, that you could sort of embark on a really hard challenge and you could sort of figure out how to apply maximum effort to then lead to something that was really exciting was something that I was interested in as well. And then I think finally, picking things that were hard and figuring out how to just get over the hump of something that's really difficult was also something that I always was drawn to in some respect.
15:55Matt Harpe:And so young Matt could have imagined going into a whole range of different types of roles or jobs. But I think it needed to have some combination of those types of things. It could have been something in politics, potentially. It could have been maybe even something in academia. But I ended up feeling like working at a startup was like the best combination of all these things. Very exciting, very fulfilling. And ultimately, as this sort of idea took shape, I thought, let's try this and see how it goes. But I do think there are actually probably a range of exciting ways to experience those different components that would have been pretty fun as well.
16:30With Upstarts, the nice thing about my job is I get to talk to different founders every single day. And if I go too deep on one topic, I can jump to another one, you know, from nuclear energy to AI to dogs. Was there any moment for you where you were like, do I want to spend 10 years of my life focused on accounting specifically? Like this is the area that I can stay passionate about. Or was it more just the problem was so big that you were like, it doesn't matter if it's accounting or not?
16:57Matt Harpe:Look, I think it's really important when you're building a company that the things that you're working on are very exciting to you. And you can wake up every day ready to tackle them. And you can also convince other people that this is something they should be spending your time on. I think there's probably nothing that's more important in building a company than being able to attract amazing folks and build a great environment around those people so that they can do their very best work. and especially at a moment where there are so many great things to be spending your time on, explaining to people why this is the thing that they should go spend the next five, 10 years of their career on is extremely important.
17:33Matt Harpe:And if you don't believe that yourself, it's very difficult to go do that. So I think that's absolutely key. And yes, I definitely thought about that to make sure that that was something I felt for what we were building at basis. I mean, to me, I think there are two components. The first is I do think that accounting is extremely important. It's underappreciated. And I think that this North Star of, hey, we're going to help organizations like health systems that I used to work with truly understand how the organization functions and allow them to measure the core goals that they should be tracking against so that they can make better decisions.
18:04Matt Harpe:To me, I do think that's a very important part of how our economy works. I do think that's incredibly important. And I think most, I guess, accounting technology companies throughout history, I think, have not been able to tell that story in a way that's compelling. But I think the work that is done there is incredibly valuable and underrated. I think the second thing is getting to wake up every day and work with these amazing models, these non-biological intelligences that I think you could argue are probably one of the most impressive and impactful things humans have ever invented. And to sort of discover properties of them and figure out how to build around them and how to deliver them to one of the largest areas of knowledge work in the U.S.
18:44Matt Harpe:is just methodologically very exciting. And one of the things that I think makes Basis an exciting place to be a part of is we really want to be the home for applied AI talent in New York. And I think there are a number of properties of accounting as a discipline that has forced us to be on the frontier of what's possible in terms of leveraging the abilities of these models to build very capable systems. And so I think those two things sort of go in tandem. And to me, there are a few things that are more exciting to be working on than the confluence of those two things. Well, I'm glad you have such high conviction because there are some cool AI startups also here in New York that you're competing for talent with.
19:23So I guess you have to sell the vision there versus Ramp AI or Modal or some other really interesting companies here. And I guess I'm curious, when you were hiring early on, was an interest in accounting important for these people? Was it about, hey, we're going to grow really fast. This is a great place to build a career. What was the sort of elevator pitch to get that top person?
19:46Matt Harpe:One of the most important things I think we've done as a company is make sure that Basis is a home for exceptional ML researchers, engineers, etc. And pretty much none of them have any background in accounting. It's very rare to find someone like that who has a background in accounting. There aren't just people at OpenAI looking to join a new startup who also are accountants. You might think. You might think. Very few of them actually have engineering or ML experience, I would say, by background. There is like a probably 5-10 % of the company who have no background in accounting, but whose parents are accountants.
20:20Matt Harpe:So I think that is actually an interesting observation, but that is a relatively small portion of people. I think the thing that we talk to folks about, and we still talk to folks about today, is because we didn't start by building a chatbot. I think pretty much all, most of the sort of exciting applied AI companies to date have been focused on this sort of text-in, text-out chat experience. But because we started building around these agentic systems from day one, because we thought that was what was required to be successful in moving the needle in accounting, we were forced to, I think, do a lot of interesting work around how to build these agentic systems early on, build, I think, a pretty strong competency around that.
20:57Matt Harpe:And we've been able to compound around that for quite a while, to the point where I think we have among the most interesting and capable agents in production of really any applied AI company, in part because of the preconditions that existed in accounting, and then in part because of how we've chosen to focus. And so I think for a lot of people who are really interested in pushing the bounds of what's possible within sort of the broader applied ML space, Basis is a pretty exciting place to work. And I think of places that are headquartered in New York and have all of their core research and engineering efforts in New York City.
21:33Matt Harpe:I think potentially an end of one company in that respect. And so that's, I think, a big part of the reason that folks joined us early on and continue to join us today. These days, you can chat with AI about almost any business problem. Rippling AI is built to actually solve them. That's because Rippling AI is built on your live workforce data. that gives you full visibility into your startup and the ability to take action across every department. Say you're planning your next few hires. Just ask Rippling AI, what would it cost to add two more engineers this quarter? You'll instantly see a breakdown of comp ranges by level and location.
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22:35Matt Harpe:So you're hiring these people who are excited about this bigger, agentic, kind of more ambitious product that you're trying to sell. At the same time, are you now meeting with these big accounting firms, trying to sell them a vision? Do you have a minimum viable product? Is it kind of the founders in the background behind the curtain doing this yourselves? What is the initial push to get into customers? Early on, it was me and Mitch. We built the product. What we ended up doing is we were able to convince a number of accounting firms. Actually, the very first thing we did before we even did that, Mitch's mom owns a pharmacy.
23:13Matt Harpe:She's a small business owner in New York. And she has an accountant who helps her with the accounting needed for her pharmacy. And so she was kind enough to give her access to give us access to her accounting system and to allow us to start building a prototype around that. And then we spent some time with her accountant and we're eventually able to figure out that there was a ton that we could just do right off the bat that would potentially help in those processes. And so then we sort of took that and we went to some accounting firms and we said, hey, we think that we could do X, Y, and Z things.
23:43Matt Harpe:Here's what we have so far. And will you allow us to just spend time in your firm shadowing people? And so all we did is we signed, you know, went through the legal process. We signed non-disclosure agreements and whatnot. And we're able to spend a lot of time with accountants at these firms, just understanding how they really spend their day. And I think that was very helpful for us because it gave us a really good sense of what are the most important immediate impacts we can drive today. And I think oftentimes there's actually a fair amount of dissonance between what people spend time on and what leadership of firms think is most valuable and think people spend time on, because a lot of the leadership, the last time they were doing this work was a long time ago.
24:22Matt Harpe:And so through that process, we sort of refined an initial product that was able to drive some moderate amount of impact around some workflows that we thought were particularly viable and where we can move the needle. And so that gave us some initial traction. These employees that you're shadowing, do they know that you're trying to build an AI tool to help them out? Are they like, we don't really know who these guys are? What's the reaction you're getting as you're walking around? So I would say that generally speaking, the people we were allowed to shadow were the people who were most excited about the prospect of AI.
24:54So they had self-selected that they were interested in this potential? I think so. Yeah.
24:58Matt Harpe:I don't know for a fact, but I suspect that was the case. Okay. And were they optimistic, skeptical about your ability to help them? Definitely a fair amount of skepticism because I think at this point, most people had not yet absorbed sort of the direction of travel with a lot of the models. And I think there was an interesting history in accounting of a lot of technology companies potentially overpromising what could be done and then not being able to succeed. It's actually interesting. There's a very interesting pattern of second-time founders who's in their first company, they looked at the accounting processes and they thought, how is this not more efficient and more effective?
25:36Matt Harpe:and then thought, let me just go solve that problem. And it turns out that, A, accounting is a lot more complicated. It's more complicated than initially meets the eye. And also, oftentimes, startup accounting is a lot simpler than the accounting that exists at more developed organizations. There are ways that's true and ways that's not true. And so there was a litany of companies that had sort of come up over the course of the last five to seven years, some of whom had raised a lot of money, that really hadn't succeeded in making much progress at automating or making these workflows much more efficient.
26:10Matt Harpe:And so I think out of that, there was a fair amount of skepticism. But you're confident because of the new capabilities of AI and sort of what it's going to unlock? Or did you guys just have a different philosophical approach to how you would build the product that you would get it right when all these other people had raised a lot of money and failed? Two things. The biggest thing by far was being able to leverage the emerging abilities of these large models, of these language models in automating these workflows. And I think the thing that we were most interested in was the ability of these models to reason.
26:41Matt Harpe:I actually think that the whole generative AI terminology in the early days of these language models or the sort of early days of them being in the public consciousness was potentially misdirected a lot of people and thinking that it was about generating text or generating images or generating some kind of content and underweighting the importance of the reasoning aspect. The fact that we now had computers, essentially, that could reason through problems. And I think that is a capability that unlocks so much value. And so we were excited about that. And I think that is the main thing that allows us to do things that others previously could not.
27:16Matt Harpe:I think the second, maybe slightly more subtle thing was most approaches to date that used ML in some way to achieve some kind of automation and accounting were focused on this sort of global learning where you take these huge data sets over many companies and try to train a model to be good at one specific task. And the problem is that accounting differs so much organization by organization, context by context, that if you're trying to train something globally, you're really missing a lot of the local context that enables you to do the work. And so we took a slightly different approach, which is we obviously were leveraging LLM's biggest, big advantage.
27:55But then also we were focused on
27:57Matt Harpe:applying those LLMs in a local context, essentially allowing them to crystallize learnings locally that they could then use to do work on a specific entity. And that, I think, unlocked a lot of performance that folks had otherwise had trouble finding. Okay. So you're in these customers, you are shadowing them, you know what to build, you start building. What was the hardest part or sort of the biggest unlock to get the company from scrappy early days to high momentum? to them. There were a number of stages in that journey. Well, on the show, we talk about an upstart moment where you most felt like your back was to the wall, you know, you're punching above your weight, maybe something that you're proud that you got through, but you wouldn't necessarily want to have to do again.
28:41Matt Harpe:Okay, I would say there was a general theme, and there were probably two or three moments where this played out, which was betting the company on sort of end-to-end automation of workflows built around the reasoning capabilities of these models built around agentic systems. I think a lot of people thought that what we should be doing in the early days was just building a chatbot for accountants like other people were doing for other disciplines. And a lot of people were telling us, you know, over and over again, we should go do that. And if we did that, we would see faster traction. And I think there is probably a case to be made that revenue would have accelerated more quickly in the very earliest of days if we had done things differently than we started with a chatbot.
29:20Matt Harpe:But we felt very confident that what we really wanted to build over time revolved around these agentic systems that could more holistically complete workflows. And we just didn't feel like having a chatbot in accounting would actually be that valuable for most accountants. This, I think, caused a couple issues. The first thing is like, you know, when you're trying to hire people and convince people like this is the thing they should be spending their time on, it's a lot easier to convince people of that when it's like in the sort of dominant paradigm of what everyone else is doing. I think second of all, over time, you know, as we've probably spent a year plus doing this where we had probably less traction than we could have had if we had gone, you know, right to a chatbot model.
30:01Matt Harpe:And so people were asking us this question. And then thirdly, you say people, do you mean investors, investors, customers sometimes were pushing us to, you know, why can't we have a chatbot that can answer these very simple questions about X, Y, or Z? And we were kind of resisting. So they're like, there's a low hanging fruit that I want and you are not giving me what I want right now because you're high in the sky with something bigger and you had to sort of hold the line there. Oh, a hundred percent. And then I think finally, actually, just from a commercialization perspective, we were quite firm that we did not want to commercialize the product until we felt like we had a model that aligned us to the outcomes we were trying to deliver.
30:38Matt Harpe:And so we never have had a seat-based model for our core product at BASIS. And we also have not had a token sort of, consumption-based model. We've had an outcomes-based model since we started commercializing the product. And I think there would have been an argument early on to just charge people on a seat-based model and go there directly. But we didn't feel like that was the direction we wanted to go over time. And so we wanted to sort of hold out until we had the sort of core of this agentic system working with an outcome-based model before we put gas on the fire. One of the big problems with outcome pricing is for some startups, it's not easy to prove exactly what the value is that you're generating, right?
31:15Like you could say, we're helping with a few things indirectly, but maybe you can't map to dollars saved or new, you know, money coming in for the customer. Was it pretty straightforward in accounting to show here is the outcome that basis is providing? Here's how much it's worth. So pay us, please.
31:31Matt Harpe:Yes. I think for accounting firms, there is relatively clear attribution. If I'm an accounting firm, I deliver services for a customer. I have to do a certain number of things, I get paid a certain amount on a monthly basis or yearly basis usually for doing that work. And so you can sort of tie the things that base is doing to contribute to that outcome relatively clearly. What it does mean though is until the AI is actually good enough to do a meaningful portion of that with a high enough level of accuracy to really contribute towards that outcome, you can't really put that model in place. Whereas if you just want to put a seat based model in place, you can probably do that sooner because people can sort of think, okay, okay, this is one person, they're going to save this much time.
32:09Matt Harpe:Therefore, the ROI story is relatively clear. So I think it does take longer to arrive at that conclusion. And you need to make sure that the attribution is clear. But I think in our context, it is. Now, as companies are starting to maybe move away from seats or sort of figure out that tokens can get really expensive really fast, do you see the market moving to follow you where founders are sort of like, oh, hey, maybe we can learn from Matt and Basis? I don't know if they're learning from us at all. I think that the natural evolution of these things is that the pricing model and business model will change.
32:40Matt Harpe:Honestly, a lot of the direction things have gone is maybe not in the direction we've gone, which is that initially people were, I think, kind of fantasizing about this outcome-based model, and they were at a seat-based model. And Salesforce said they were going to do an outcome-based model. Intercom was famous for having sort of succeeded in doing that. But to my understanding, Salesforce is now sort of reverted from the outcome-based model. And a lot of the direction people have gone to is a token-based consumption model, where they're looking at the underlying inputs that go into the work the AI is doing, and then putting some kind of surcharge on that and then passing that through to the customer.
33:14Matt Harpe:And so I actually think that probably relative to where people thought things would go two years ago, when people were excited about two years ago, things have gone more in that direction than they have gone towards outcomes. So I'm actually not sure whether people would learn from us in either world. But I think people have sort of gone in a slightly different direction. I think different business models make sense in different contexts. But I think from our perspective, outcome-based model is the best if you can get to it. That's really interesting. I guess the token model pricing, it's about being sustainable and passing some of those costs along to the customer.
33:47But that does, I feel, bring up the sort of also kind of now multi-year debate around what an AI wrapper is. And if you are basically spending a lot of money on models yourself and passing that on to the customer, there's a lot of pressure to prove the value in the middle. Has that always been kind of easy for you guys? And how do you think about where the moat or sort of the real value is with basis versus, you know, this kind of easily swappable wrapper?
34:12Matt Harpe:In most situations, the token-based consumption model, where consumption is correlated or is tied to, rather, your token usage, you're oftentimes punting the question of figuring out ROI and making a case about how this can be attributed, how you can sort of have some attribution for the ROI to the customer. You know, like when we are using, let's say, a coding tool at basis, we are the ones determining that the usage of those tokens is valuable enough and is leading to certain outcomes that we're comfortable with. And so you're essentially totally divorcing yourself from actually being able to talk about the ROI story and the outcomes in that way.
34:54Matt Harpe:You can maybe look at per person productivity, but I think it's a lot less clean. And so I do think that puts you in a slightly more difficult position where you are essentially pegged to this underlying resource that can then be swapped in and out. And maybe as the cost of models goes down dramatically, that is a more difficult business model to defend. You are truly wrapping an atomic token instead of wrapping packaging an outcome that you want to continue to package over a long period of time. So I think that is true. And then in terms of your moat, we've seen Claude and ChatGPT move into verticals.
35:30You know, there was Claude for law. There's other verticals that these guys are sort of rolling up, you know, making spreadsheets, doing a lot of sort of that traditional office work. Do you expect that the big labs will have some sort of accounting product? And how do you think about where basis will stand out if kind of some layer of it does kind of become commoditized?
35:52Matt Harpe:We've written a memo at a bunch of the various stages of the company. And when we started the company, we wrote a memo. And I think two of the very important questions we sort of sought out to answer at that moment was, what is our hypothesis in terms of why Basis is defensible against the large labs doing the same thing or trying to compete for the same business? and why is basis defensible long-term in a sort of post-AGI type world, you know, whatever you want to define as AGI, where the cost of building software essentially asymptotes to zero? I think those two questions are very important to answer.
36:28Matt Harpe:And I think that actually points you to relatively interesting conclusions about which verticals you'd want to own and what type of business you'd want to have that I think oftentimes get overlooked. As it pertains to the big labs, 100%, they are going to have some kind of accounting and finance, play. And at least for basic productivity things, I think there are a lot of merits to having a ChatGPT subscription or something like this, because it's a wonderful tool that I think a lot of people can benefit from. I do think there are a number of reasons why you need domain-specific AI in accounting and why it's relatively unlikely that we will see meaningful competition with the big labs for the types of things that we're trying to do, which I can go into in a second.
37:10Matt Harpe:I think maybe the most intuitive which is just if you think about the things that the large labs have successfully attacked to date, it's a set of things that are sort of one degree removed from their core competency. I think all companies can only focus on so many things, no matter how much money you have. And maybe that's a lesson that sometimes the labs have learned recently, which is that if you try to go in too many directions, you start losing your core thing. And so I think most of the things that they are focusing on are the things that are directly proximal to things they're already good at.
37:39Matt Harpe:We have a Word plugin. We're going to help generate text. We can help edit this document, et cetera. We have access to the internet. We can do internet research. We have Excel. We can build Excels and PowerPoints and things like this. And so I think when your product largely revolves around doing those core set of items that are already the natural things that they're going to be building for every consumer and every business, there's a real risk of competing with them. And even if you have some differentiated set of product features, at least having pricing pressure from the fact that, you know, it's going to be hard for you to justify a huge pricing premium over the big labs because you're just not providing that much incremental value.
38:13Matt Harpe:So I think intuitively accounting is a lot less like this. You know, we have never been a text in text out thing. We don't really operate in Word documents and PowerPoints and just some extent excels, but excels with different configurations and most sort of consumers or businesses would be using. You need sign offs and permissions and all these other things that I think are not within the natural wheelhouse of big labs. And so I think it's just less likely that they're going to play there in a meaningful way. Given your momentum and your vertical, I'm curious, do you think that there could be basis like companies and sort of other focused jobs like accounting and sort of we could have, you know, Harvey and Lagora and law, you know, basis in accounting and we could sort of check off every specialist job like that?
38:53Or you think accounting is an edge case where maybe some of these other verticals won't end up seeing a startup like yours?
38:59Matt Harpe:I think that the demand for AI in pretty much every space is only going to continue to go up. I think there will be a lot of value in people spending time really focused on building the best possible solution for that space. And so I think it's very likely we'll have these companies in all sorts of spaces. What I think, though, at the same time, I think there will be a relatively large variance in how valuable those companies are over the long term and how defensible those business models are. And I think that's why it's very important to think about how defensible is this against the large labs and how defensible is this business model as the cost of building software goes down dramatically.
39:34Matt Harpe:So I think we'll have tons of companies and there'll be a huge variance in terms of how much they're worth. And then just on that point, we had Christina from Vanta on the show earlier this season. There were several very kind of notorious companies that came out of YC saying they were already Vanta 2.0 with mixed results. Have there been basis 2.0 attempts? How do you future proof against sort of the next gen startups already saying that you guys or old news? I'm sure there's a new company that comes out of YC or somewhere else in the world every week that's probably doing something in accounting.
40:03Matt Harpe:I think that's great. There's a ton of work that needs to be done here. Generally speaking, we as a company, I think, can only focus on ourselves. At the end of the day, at this stage in the development of the market, the thing that matters most is how well do we execute? And I think today we have by far the most capable and the most accurate AI across most of accounting. I think that will continue to be true. But the day that's not true anymore, like we don't deserve to be doing anything because there's someone else who has a better product. And so I'm sure there'll be lots of companies that build things and they should.
40:33Matt Harpe:There's a ton of stuff to be done here. But we as a company just have to focus on continuing to execute really well and continuing to build the absolute best product that exists. And when you think about what winning looks like for Basis, is it that you are in all of those top 25 accounting firms and Basis is working with humans there? Would you be happy or not happy if people were trying to fully automate and have no accountants because they're just using technology here? What is the big picture ideal setup that you're building towards? I think every accounting team globally should be using Basis to do their core accounting work.
41:11Matt Harpe:But these are humans. Humans, yes. And I think that there's a very important role for accountants in this future. I think actually it will increase how much accountants get paid. It will increase how valuable accountants are because they will be able to accomplish so much more. Two reasons, as I mentioned before. One, we have a huge shortage of accountants, so we need to get more work done. But two, I think there's an order of magnitude more accounting work we could be doing. And I think this will allow accountants to take on that work and to deliver a ton more value. And I think finally, especially with the accounting firms we work with, pretty much every company in America has a relationship with an accounting firm.
41:47Matt Harpe:They have trust in that relationship, that accounting firm understands that person or that company, and that accountant is able to advise that company or that person on the set of things that they are doing. And so I actually think that as accountants are able to spend more and more time doing that, those relationships will get more and more important. and the actual, all the things you mentioned earlier about how busy folks are and how they, you know, they just have to focus on keeping up as they're going through various busy seasons. Those things will diminish and they'll be able to spend more time in those types of capacities, which is ultimately A, what I think people enjoy more, enjoy doing more, but B, is something that really humans are best suited to do.
42:29Matt Harpe:And so I think there's a really exciting future where people can actually spend time doing the things they got into accounting to do in the first place. Awesome. Well, if you're the accountant's best friend, hopefully that is good for the rest of us who don't get audited and have better results for our businesses from those happier accountants. So with that, I will wish you good luck, Matt, and thanks for coming on the show. Thank you, Alex. It's been a pleasure.
From the publisher
A crisis is happening in accounting that goes far beyond creative bookkeeping or lost receipts: we don't have enough people.
Enough work exists for 30 million accountants to prepare tax returns and audits, restructure data and improve how companies organize. The U.S. has just 3 million, says Basis co-founder and CEO Matt Harpe. "The number is rapidly declining," he says.
Founded in 2023 by Harpe and co-founder Mitchell Troyanovsky, Basis builds AI agents to help. Operating behind the scenes, Basis agents learn a firm's best practices and then automate much of the process, allowing its staffers to review more work for clients. Basis reached a $1.15 billion valuation in February 2026.
Far from eliminating jobs, Harpe believes his startup will help those human accountants get paid more. "It will increase how valuable accountants are, because they will be able to accomplish so much more," he says.
On the Upstarts Podcast, Harpe talks about why Basis shunned a chatbot approach to go all-in on agents from the start; why outcome-based pricing is preferable, but not easily achieved; and how he pitches top AI talent in New York on building in accounting, of all things.
Plus, he shares his Upstart Moment: turning down short-term revenue by not charging for a product until their outcomes could match what they promised.
Chapters:
00:00 Introduction
01:47 The basis for Basis
07:25 Why no one wants to be an accountant any more
14:37 CEO Matt Harpe's founder journey
19:46 "The home for applied AI talent in New York"
22:58 Winning over skeptical accountants as customers
28:41 A big bet on agents from the start
31:31 Outcome-based pricing and its challenges
35:52 Competing with the big AI labs like OpenAI
41:11 Making human accountants more valuable
Matt's LinkedIn
Basis
For more, visit https://www.upstartsmedia.com/
Season 2 of the Upstarts Podcast is presented by Rippling
Produced & edited by Eric Johnson from LightningPod




