Feb 17, 2026 · 1h 11m · cheeky-pint
Ramp founder Eric Glyman on the many ways AI is changing corporate spending
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this discussion, Ramp co-founder Eric Glyman joins Patrick Collison and Alex Rampell to examine how Ramp scaled past one billion dollars in revenue by modernizing corporate spend management, automated treasury, and B2B payments. Glyman explores the profound impacts of AI on software defensibility, expense policy automation, and enterprise financial efficiency.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
John as informed peer 5.2 Guest teaching 4.2 Guest disagreement 1.4 John pushing back 3.0
speaking balance: gold is John, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 47:40 Eric rejecting the premise of selling money over selling time
Eric firmly draws the line against competing as a traditional financial intermediary on rates and concessions, asserting that incumbents sell money while Ramp differentiates entirely by selling time.
Hardest push from John ▶ 50:13 Patrick challenging Ramp's refusal to exploit scale advantagesPatrick refuses to accept Eric's pure 'velocity and time' framing, arguing that mature companies must shift their competitive differentiation into Costco-style scale-derived economic bargaining power.
Biggest teaching moment ▶ 59:30 Eric detailing Capital One's IBS revolution and historyEric provides a deep historical masterclass on Rich Fairbank, Nigel Morris, Signet Bank, and the Information-Based Strategy that pioneered subprime rate differentiation before spinning out in 1994.
John holds their own ▶ 13:00 Patrick detailing historical payment network upgradesPatrick demonstrates superior payments infrastructure history, referencing the Check 21 Act and modem authorization rollouts to dismantle the excuse that B2B payment rails are inherently impossible to modernize.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | John as informed peer | Guest teaching | Guest disagreement | John pushing back | Why |
|---|---|---|---|---|---|---|
| AI-Driven Expense Policies and Corporate Spend Culture | 4 | 3 | 1 | 1 | Patrick sets up a thoughtful comparison between strict enterprise policies and permissive trust-based policies. Eric explains how Ramp automates plain-English policy adherence agentically with 99%+ accuracy, while Alex and Patrick agreeably build on behavioral aspects. | |
| Overcoming Inefficiencies in B2B Bill Payment | 8 | 2 | 1 | 4 | Patrick demonstrates deep domain knowledge of payment history, citing the Check 21 Act of 2000, real-time credit card authorization migrations, and proposing a 'DNS for companies' concept to eliminate invoice phishing and manual routing errors. | |
| The Impact of AI on Software Engineering and Defensible Moats | 5 | 4 | 1 | 3 | Patrick questions whether rapid AI code generation creates an unsustainable liability of tech debt. Eric details self-healing codebases and outlines why shallow cognitive work apps will face moat erosion against deep financial workflow platforms. | |
| EPD Restructuring, Data Moats, and the SaaSpocalypse | 5 | 5 | 1 | 2 | Alex Rampell breaks down EPD team collapse, proprietary data moats like V-Lex and DomainTools, and shareware history on Elance. Patrick prompts on whether the SaaSpocalypse is irrational, and Eric concurs that edge-case complexity preserves core platforms. | |
| Feature Spotlight: Stripe and Stablecoin Corporate Cards | 4 | 4 | 1 | 1 | Following a sponsor feature on Stripe stablecoin cards, Patrick asks about Ramp's macroeconomic spend data. Eric reveals a discrepancy between Census Bureau surveys and real-time SMB AI software adoption. | |
| Fine-Tuned Spend Controls and Vendor Pricing Transparency | 6 | 4 | 2 | 5 | Patrick pushes back on Eric's claim that Ramp can benchmark SaaS vendor pricing by noting the vast complexity and customization in enterprise infrastructure bills like AWS. Eric defends the utility of seat-level SaaS price comparisons. | |
| Scaling Differentiation: Selling Time Versus Selling Money | 7 | 3 | 3 | 7 | Patrick challenges Eric's philosophical insistence that Ramp must only sell time rather than money, arguing that as scale grows, Ramp must evolve scale-derived Costco-style vendor concessions. Eric admits the validity while defending product focus. | |
| The Zero Marginal Cost of Knowledge Work and Business Alignment | 4 | 5 | 1 | 2 | Alex discusses the zero marginal cost of arguing, which Eric sharpens into the zero marginal cost of knowledge work. Eric articulates how misaligned basis-point reward models pale compared to helping businesses eliminate unwanted recurring spend. | |
| Capital One's History, Information Strategy, and Fintech Legacy | 4 | 8 | 2 | 2 | Patrick admits being hazy on Capital One's origins and suggests they stayed singularly focused. Eric delivers a comprehensive tutorial on Signet Bank, Information-Based Strategy (IBS), and corrects Patrick by explaining how wildly experimental Capital One actually was. | |
| The Future of Corporate Treasury and Intelligent Capital Allocation | 5 | 4 | 1 | 3 | Patrick notes the lack of deposit yield sharing from incumbent banks and asks how the competitive market forces changes. Eric outlines how intelligent treasury engines will automate sweep yields and actively allocate working capital. |
Statements from this episode (25)
Glyman: Ramp surpassed $1 billion in annual revenue in six years
“You know, I think by the time we were
You know, six years and change.
The company had passed over a billion a year in revenue.”
Glyman: Ramp software business reached $100M ARR in two years
“Software, it's a, you know, two something year old business line, just about two years and some months.
that's over a hundred million a year business line in and of itself”
Glyman: Ramp Treasury holds several billion dollars in deposits after one year
“Treasury
You know, that's a product that is about a year old, several billion dollars of deposits.”
Glyman: Non-card products will comprise majority of Ramp business by year-end
“I think by the end of this year you know, the second, third, fourth, fifth lines of business will comprise you know, in aggregate the majority of Ramp's business.”
Glyman: Ramp helps average business cut expenses by 5% annually
“You know, we help the average company cut their expenses by about five percent per year.”
Glyman: Ramp processes over 100k expenses daily with AI agents
“I think that we're processing over a 100,000 expenses a day that are being reviewed agentically. This is a very fast growing subset of the business.”
Glyman: Ramp AI agent reviews expenses with over 99% accuracy
“Now you can have an agent functionally that does that, that takes that aspect of the job and so it has access to the full set of data that you, that, that you would, all the transaction related metadata, the receipt data, the timing data, the policy data, it t…”
Collison: B2B bill payment has resisted modernization for 40 years
“It seems like bill payment,
Has proven over the past 40 years uniquely resistant to automation and modernization.”
Collison: B2B payments need a DNS-style central clearinghouse for bank accounts
“If you looked at the bill pay system from the outside, you would say, we should have DNS for companies.
So rather than a company
Like, sending you their bank account details.
You should, like, look them up in some central clearinghouse, and that way you confir…”
Rampell: Checks persist because AR and AP are an adversarial process
“AR and AP are almost an adversarial process.
You mentioned this, right?
It's like, what do you want to do as a controller?
Well, you want to pay as late as possible, and you want to collect as early as possible.
And then you have this weird thing where, like, …”
Glyman: Ramp customer support agents ship code to production
“We have customer support agents like shipping code to production too.”
Glyman: Simple expense management software will probably evaporate
“I think that if you are completing the small amount of cognitive work, right, let's say you just are you know, expense app. You know, the thing, the spend has occurred. It needs, you know, to go get the, write it down somewhere and get someone's approval, and …”
Rampell: Legal SaaS Vlex scaled from $20M to $100M in one year
“So, I met this company, V-Lex it's a 25 year old company. This guy Alex, bought up every legal record in Spain, like probably going back to 1492, like buys the, you know, here's the Ferdinand and Isabella, like, you know, here's the document, like I'm gonna ta…”
Rampell: DomainTools runs daily WHOIS lookups on every internet domain
“Domain tools runs a cron job every day on every single internet website. They do a who is lookup. Cool. So Whois look up every single day.”
Rampell: Nobody is going to replace or get rid of Workday
“So, like, Workday, I think is, like, nobody's gonna get rid of Workday.”
Glyman: Majority of Ramp's 55,000+ Customers Have Adopted AI
“And we looked at our data and you know, we support over 55,000 businesses. We lean a little bit towards tech, but not heavily. It kind of resembles the distribution of businesses you would see in the States. And well the majority of businesses have used Used A…”
Glyman: One Penny Saved Equals 12 Pennies of Revenue Earned
“Average American business has an eight percent profit margin and so mathematically speaking, a penny saved is equivalent to 12 pennies of revenue earned”
Glyman: Ramp differentiates from banks by selling time instead of money
“What it's evolved into, and I think is today probably the largest point of differentiation at the meta level between ramp and maybe the financial service providers that we compete with is they sell money and we sell time. They'll sell you a lower, like a loan …”
Glyman: Ramp powers over 2% of US business card transactions
“I believe today, ramp powers more than two percent of all corporate and small business card transactions in the United States, which is amazing for a business that, you know, ah, the product you couldn't even sign up for it six years ago.”
Rampell: AI reduces the marginal cost of arguing to zero
“One of the first or second or third order effects of AI is the marginal cost of arguing has gone down to zero.”
Glyman: Most Ramp customers have zero software engineers
“Most of our customers don't have a single software engineer, let alone a software engineer for their finance team.”
Glyman: Cutting unneeded corporate spend beats offering higher card rewards
“If you just try to say, I'm gonna have a better rewards program sure, maybe you can get that customer, you know, a dollar or a dollar 10 back, or some amount that pales in comparison to just helping them just like not spend that hundred dollars, like cancel th…”
Glyman: Capital One was once USPS's largest customer before Amazon
“They did this so large where I think at one point they were the largest customer of the US postal service. They would send out so many offers. I think until Amazon took them over, there was a period of time that they did this.”