
No Priors Ep. 76 | With Ramp Co-Founders Eric Glyman and Karim Atiyeh
Sarah Guo (host), Elad Gil (host), Eric Glyman (guest), Karim Atiyeh (guest), Sarah Guo (host)
In this episode of No Priors, featuring Sarah Guo and Elad Gil, No Priors Ep. 76 | With Ramp Co-Founders Eric Glyman and Karim Atiyeh explores ramp Co-Founders Build Self-Driving Money And AI-First Productivity Platform Ramp co-founders Eric Glyman and Karim Atiyeh explain how their previous startup Paribus inspired Ramp’s core thesis: use data and software to help businesses spend less money and less time on finance operations.
Ramp Co-Founders Build Self-Driving Money And AI-First Productivity Platform
Ramp co-founders Eric Glyman and Karim Atiyeh explain how their previous startup Paribus inspired Ramp’s core thesis: use data and software to help businesses spend less money and less time on finance operations.
They describe Ramp not just as a fintech, but fundamentally as a productivity company focused on automating tedious financial workflows and building toward “self-driving money” for organizations.
AI is embedded throughout Ramp’s product and internal operations—from transaction categorization and bill payment timing to sales and marketing tooling—always constrained to well-defined tasks to reduce risk in a regulated environment.
They argue that the real advantage comes from pairing systems thinking with taste and clear business outcomes, and from re-architecting company functions like sales, marketing, and finance around AI-augmented workflows rather than treating AI as a buzzword.
Key Takeaways
Design financial products to help customers spend less, not more.
Ramp’s contrarian thesis is that businesses value cash in the bank and time saved over points and perks; they built tools to eliminate redundant software, cut waste, and automate expense workflows instead of optimizing for higher card spend.
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Treat fintech as a productivity layer that sells time, not just money.
By automating expense reports, bill pay decisions, procurement approvals, and accounting, Ramp positions itself as a productivity company—allowing lean finance teams to support larger organizations without adding headcount.
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Use AI on tightly constrained, well-defined tasks to minimize risk.
Ramp applies AI where there are clear right answers—like categorizing transactions from a fixed chart of accounts, three-way matching for fraud checks, or pre-filling forms—rather than open-ended decision-making, keeping reliability high in a regulated space.
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Embed engineers into go-to-market functions and goal them on business outcomes.
Ramp’s engineering teams work directly on sales and marketing problems (e. ...
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Architect for rapid model swapping instead of over-investing in fine-tuning.
Rather than deeply fine-tuning models, Ramp hardened its AI infrastructure to quickly evaluate and switch between foundation models (e. ...
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Reframe marketing and creative work as a scalable system augmented by AI.
They see future marketing teams focusing on taste and strategy while AI handles repetitive production—auto-generating on-brand assets, reviewing copy for guidelines, and enabling any team member to create content from shared design systems.
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Build the primitives and pipes before layering on intelligence.
To truly reach “self-driving money,” companies must first standardize and integrate core primitives—card issuing, payments, billing, accounting—so that AI can not only suggest optimizations but actually orchestrate actions across systems.
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Notable Quotes
“People don’t want points or cashback; they actually want more in their bank account.”
— Eric Glyman
“We get classified a lot as a fintech company. I actually think we’re a productivity company.”
— Eric Glyman
“I honestly don’t think there’s that much risk if you constrain the problem well.”
— Karim Atiyeh
“Before jumping straight to ‘I’m gonna hire an AI salesperson agent,’ we said, ‘Let’s give him an Ironman suit.’”
— Eric Glyman
“The one thing that I think will remain for a very long time is having good taste.”
— Karim Atiyeh
Questions Answered in This Episode
How far can Ramp realistically take the concept of “self-driving money” before needing human judgment in the loop?
Ramp co-founders Eric Glyman and Karim Atiyeh explain how their previous startup Paribus inspired Ramp’s core thesis: use data and software to help businesses spend less money and less time on finance operations.
Get the full analysis with uListen AI
What specific metrics or frameworks does Ramp use to quantify the time savings and productivity gains it delivers to customers?
They describe Ramp not just as a fintech, but fundamentally as a productivity company focused on automating tedious financial workflows and building toward “self-driving money” for organizations.
Get the full analysis with uListen AI
How might Ramp’s internal AI tools for SDRs and marketing eventually evolve into external products, and what trade-offs would that create for focus and simplicity?
AI is embedded throughout Ramp’s product and internal operations—from transaction categorization and bill payment timing to sales and marketing tooling—always constrained to well-defined tasks to reduce risk in a regulated environment.
Get the full analysis with uListen AI
As AI increasingly automates bookkeeping and routine finance work, how should finance professionals reskill to focus on higher-level strategic tasks?
They argue that the real advantage comes from pairing systems thinking with taste and clear business outcomes, and from re-architecting company functions like sales, marketing, and finance around AI-augmented workflows rather than treating AI as a buzzword.
Get the full analysis with uListen AI
What are the biggest unknown risks Ramp still worries about with deeper AI integration in finance, beyond the known, constrained-use risks they’ve already managed?
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Transcript Preview
(music plays) Hi, listeners, and welcome to No Priors. Today, we're here with Erik and Karim, the co-founders of Ramp, one of the fastest growing fintech companies of all time. We'll talk about the path to self-driving money, how they make AI and systems thinking fundamental to every part of Ramp, and why using AI in financial services is not as risky as people might think. Welcome Erik and Karim.
Well, today, we're super excited to have Erik and Karim from Ramp joining us, so thank you so much for coming.
Thanks for having us. It's great to see you both.
Yeah. If you could tell us about the origins of Ramp, how y'all got started, what your focus on today, what roles you play at the company.
Ramp, in some ways, is sort of the sequel or taking our last business forward. We, we started about a decade ago at a business called Paribus, uh, back in 2015. I, I would probably reframe it now as a, as an AI agent company. Essentially, what it did is, let's say, you bought something from Amazon, Best Buy, Macy's, whatever. Every store would guarantee you that the next week a TV went on sale, you could get the difference back if you asked. So we built ... It was an email app. We, um, scanned or ... you alluded to this earlier, but I just wanted to confirm that when you say, "The better they got, the more wasteful they would get."
Yeah.
We launched this. Within a year, we had almost a million members and, uh, we had a life-changing offer from Capital One to buy the company. So we were thinking a lot about, first, how do you turn data into savings? Um, uh, we didn't know the first thing about credit cards. We learned it and we saw there was a great large industry, very profitable, but deeply misaligned with customers and people were obsessing over the question of, "How do you get people to spend more money or more points?" And we got very interested in the question of, you know, if you actually listen to people, they don't want points or cashback. They actually want more in their bank account. The best way to do it is not get people to spend but get people to not ... Put differently, like, not spending $100 in the first place is a hundred times better than getting a dollar or 1% back on it. And so we got obsessive. Wow, what if you put Paribus in a card? What if you had, you know, a card and software that was designed to get people to spend less in the first place that seems more aligned with customers, a different way to go to market, and, uh, fundamentally a better product? Um, and so back in March of 2019, we, uh, incorporated the company. Uh, today, we're just shy of five and a half years old. And, um, I, I, I would say a lot of what we're working towards today is, um, you know, this question of can you have, you know, self-driving money in an organization? Um, can you build, um, really the primitives? You know, can ish from one place, issue cards, make payments of all kinds, manage approvals, even automate accounting? Um, but really what we're doing is when you have the right primitives, abstracting away all the tedium of you don't need to add receipts to a transaction. You tap a card, we pull the receipt from your email, and you're done.
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