Aug 15, 2024 · 48m · no-priors
No Priors Ep. 76 | With Ramp Co-Founders Eric Glyman and Karim Atiyeh
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Ramp co-founders Eric Glyman and Karim Atiyeh discuss how they combine artificial intelligence, systems architecture, and consumer-grade design to modernize corporate finance and drive massive organizational efficiency.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 22.2% of the talking time here. How this is scored →
The hosts as informed peer 5.6 Guest teaching 5.5 Guest disagreement 1.5 The hosts pushing back 1.1
speaking balance: gold is the hosts, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 25:34 Rejecting the premise of financial AI risk
Karim directly pushes back against Sarah's premise that financial workflows are inherently too risky for GenAI, asserting that risk is minimal when tasks are properly constrained.
Hardest push from the hosts ▶ 18:26 Pressing on SaaS commercializationElad challenges Ramp's decision to keep internal sales and marketing AI tooling proprietary instead of spinning them out as enterprise SaaS products.
Biggest teaching moment ▶ 17:19 Evaluating vendor slope over static checklistsKarim educates the hosts on how tech organizations fail to measure procurement effectiveness and explains evaluating vendors by engineering slope rather than current feature parity.
The host holds their own ▶ 16:39 Citing Google early automation parallelsElad demonstrates his deep operating and investment expertise by comparing Ramp's internal automation philosophy to early Google's scaling of sales operations.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The hosts as informed peer | Guest teaching | Guest disagreement | The hosts pushing back | Why |
|---|---|---|---|---|---|---|
| From Paribus to Ramp: Foundations of Spend Management | 4 | 5 | 1 | 0 | Elad opens with an open-ended question about Ramp's origins. Eric details their journey from Paribus at Capital One to realizing financial alignment through spend reduction rather than points. | |
| Transitioning from Consumer Products to Enterprise Efficiency | 5 | 6 | 2 | 1 | Sarah probes the shift from consumer to enterprise spend management. Karim and Eric reframe enterprise waste as scaling with company size and contrast 80s Amex luxury with modern time-saving efficiency. | |
| Automating Financial Workflows and Controls with Artificial Intelligence | 6 | 5 | 1 | 1 | Elad prompts on internal vs external GenAI adoption in regulated workflows. Karim breaks down how Ramp structures unstructured receipts and ERP data for 3-way matching and bill-pay timing. | |
| Developing the Ironman Suit for Outbound Sales Teams | 5 | 6 | 1 | 0 | Elad asks about creative internal applications. Eric describes building an Ironman suit for their top sales rep by decomposing SDR workflows into automated data enrichment pipelines. | |
| Aligning Engineering with Business Outcomes and Unique Hiring | 6 | 5 | 2 | 1 | Sarah questions how Ramp gets engineers to focus on internal business tooling. Eric and Karim explain aligning engineers directly to P&L outcomes and intentionally recruiting spiky, entrepreneurial talent. | |
| Strategic Vendor Selection and the Build versus Buy Dilemma | 7 | 6 | 2 | 4 | Elad draws on historical Google operational automation to ask why Ramp doesn't commercialize internal tools as standalone SaaS. Karim introduces vendor slope evaluation and Eric defends focusing on the core finance persona. | |
| Redefining Ramp as a Core Enterprise Productivity Platform | 6 | 5 | 2 | 2 | Sarah challenges the difficulty of selling abstract productivity value to enterprise buyers. Eric reframes Ramp as a pure productivity platform that gives leverage to resource-constrained G&A teams. | |
| De-risking AI in Financial Workflows and Evaluating Models | 7 | 6 | 2 | 2 | Sarah and Elad press on compliance risks, hallucinations, and model evaluation in financial tasks. Karim explains how constrained task definitions and rapid eval harnesses eliminate the need for costly fine-tuning. | |
| Refactoring Enterprise Marketing into an Engineered System | 5 | 6 | 1 | 1 | Sarah asks about long-term marketing organization structure under a technical CTO. Karim outlines treating marketing workflows as engineering pipelines with CI/CD-style copy review test suites. | |
| Andy Warhol's Factory as a Framework for AI-Driven Brand Studios | 5 | 6 | 1 | 1 | Eric uses Andy Warhol's Factory as an analogy for separating creative taste from automated, high-velocity asset production pipelines. | |
| Empowering Creative Teams with Scalable Systems and Direct Manipulation | 7 | 4 | 1 | 1 | Elad and Sarah discuss how AI will disrupt marketing agencies, with Sarah citing Stitch Fix's direct manipulation model. Karim agrees, describing their brand tool systems. | |
| The Structural Evolution of Financial Labor and Primitives | 6 | 6 | 2 | 1 | Eric contextualizes labor shifts in bookkeeping versus strategic finance, arguing AI primitives are necessary before autonomous orchestration can manage complex enterprise stacks. | |
| Automating Customer Feedback Syntheses with Internal AI Podcasts | 4 | 5 | 1 | 0 | Karim and Eric share an experiment creating internal automated podcasts summarizing customer feedback, highlighting unexpected founder demand for angry customer voice digests. |
Statements from this episode (19)
Glyman: Preventing spending is 100x better than earning 1% cash back
“Not spending a hundred dollars in the first place is a hundred times better than getting a dollar or one percent back on it.”
Glyman: Ramp has 25,000 business customers, including Shopify
“Today 25,000 businesses use it from small startups, to Shopify, to Boys and Girls Club of America, to farms, to anything in between.”
Glyman: Startups' primary battle is overcoming customer apathy
“I think most startups, their biggest battle is people not giving a shit.”
Glyman: Modern luxury means saving time, not 1980s-style Amex lounge access
“The luxury that Amex, I believe, was really owning and building was almost like an eighties conception of, like, luxury of, like, you have, like, lounge access, and it's covered in mahogany, and it's super cool, and, like, luxury in the twenty-twenties is, you…”
Atiyeh: Finance professionals care about control and accuracy, not AI branding
“Financial professionals care about the job being done and they care about the observability and having control and a lot more than they care. Like they don't actually care that much if they're using AI. They just want it to be like fast and accurate.”
Glyman: Capital One treated its engineering teams strictly as cost centers
“This is one of the things that felt like torture at Capital One of engineering and technology was a cost center. It was only an L. There was no P. There was no profit. And so it was just a question of where are costs and how can we rip things out, out, not how…”
Atiyeh: Ramp evaluates SaaS vendors by interviewing their engineers on development velocity
“The way we
Pick the right vendors is almost like essentially interviewing them.
We primarily like to talk to the engineering teams.
we care a lot about the slope and the rate at which they're progressing, as opposed to whether they have gaps today or not.
And…”
Glyman: Selling to multiple buyer personas creates heavy go-to-market friction
“And so it's more products that, that continue to help the same economic buyer, and I think there's a lot of friction from a go-to-market perspective when you're selling to different buyer groups with inside of organization”
Glyman: Ramp employees might be fired for picking legacy vendors like IBM
“I kind of think at Ramp, you might get fired for picking IBM, right? Like, you actually want to pick vendors that not based off of just they have every checkbox, but they are properly sloped, and they're going to advance, and if you play this out in a year or …”
Atiyeh: Financial AI risk is minimal when tasks are well-constrained
“I honestly don't think there's that much risk if you constrain the problem well, right? Because at the end of the day, so like if you're trying to figure out like how to use AI to help you categorize transactions, it's not an open-ended question.”
Atiyeh: Ramp abandoned fine-tuning AI to wait for next-generation foundation models
“We did spend some time fine-tuning in many places, and then we very quickly found out that our time was worth way more and that we should just, like, wait, wait for, like, other generations of model.”
Atiyeh: Ramp uses GPT-4o Mini for 90% of its production AI tasks
“Oh yeah, it's already in production, and for like, 90% of tasks that we're running, it's good enough, so that was a quick switch. And within a day, we can know very quickly, like, that, yes, this is, like, good enough, and we have the right evals.”
Atiyeh: AI will not replace human taste in marketing
“The one thing that I think will remain for a very long time is, is having good taste. And at like at the end of the day, like if you are, even if you are working with the eyes and machines at, Someone needs to decide, like, is, is this good or not? And there's…”
Gil: Ad Agency Services Will Turn Over as AI Converts Them to Software
“Where they do a lot of the work that you mentioned in terms of iterating on copy, iterating on the imagery, doing it by different format for, is it TikTok versus TV versus whatever. That is all very automatable with AI. And so I'm very excited about that area.…”
Guo: In-House Direct Content Creation Outperforms Traditional Agency Norms
“If you have people who think about scalability and you give people with taste and understanding of your business, like the ability to do direct manipulation, Right. I make these videos myself or whatever. It's probably going to be a lot more effective, but it …”
Atiyeh: Test creative performance first before optimizing for brand compliance
“I think it's a lot more restrictive to start with, let's make something on brand, and then let's make it work, and a lot more costly. So trying to, like, invert a little bit how how we produce, like, good creatives and good content.”
Glyman: Internal data shows only 4-9% of finance roles are actually strategic
“There was this funny set of research we're doing internally, and we wanted to figure out so we have this function called strategic finance, and we were interested just in like a benchmarking. How many people do strategic finance? And it's something like, depen…”
Glyman: A $10B revenue company uses hundreds of finance tools
“I was with the CFO of a company this morning who walked me through, you know, over ten billion dollars in revenue, but quite literally, Hundreds of finance tools in order to keep their books, make payments receive payments.”
Atiyeh: Ramp uses AI to synthesize customer calls into 5-minute internal podcasts
“We've had our, like internal applied AI team that was able to put together a very quick process to essentially generate a five minute podcast of it could be Eric, it could be me, like, asking questions of our customers, and then you get, like, five minutes of,…”