Karim Atiyeh - Building Ramp - [Invest Like the Best, EP.445]
Episode
105 min
Read time
2 min
Topics
Startups, Fundraising & VC, Design & UX
AI-Generated Summary
Key Takeaways
- ✓Policy Agents Replace Manual Reviews: Ramp's AI policy agents run 24/7 with more context than human reviewers—integrated with calendars, emails, and expense policies—to automatically classify transactions as in-policy or not, eliminating the manual back-and-forth that traditionally takes days and improving policy clarity over time through continuous learning.
- ✓Consumer-Grade Design for Business Software: Ramp converts over 50% of sales conversations into customers within 30-60 days by obsessing over minimizing user time in the app—prefilling every possible form field, skipping unnecessary questions, and automating 85% of expense reviews with 99% accuracy rather than building for decision-makers alone.
- ✓Speed Through Predictable Breakage: Build systems that break in predictable ways and recover quickly rather than engineering for perfection. Split teams into money-critical functions that never break and innovation areas that can break 10 times daily, allowing 20 fixes per day without customer impact—speed matters more than flawless execution in high-upside areas.
- ✓Technical Founders See Possibilities First: Engineers can identify what's possible with new technology before domain experts request it—the gap between having subject matter expertise and not having it is the smallest ever due to LLMs. Technical people asking the right questions of AI can become functional experts in marketing, procurement, or accounting faster than traditional learning paths.
- ✓Marketing Velocity Through System Design: Reduce creative iteration from two weeks to ten minutes by eliminating approval bottlenecks—enable teams to generate on-brand assets instantly with internal AI tools, change billboards seven times weekly for less cost than two static billboards, and let individuals own creative decisions without committee review to maximize experimentation speed.
What It Covers
Karim Atiyeh, CTO and cofounder of Ramp, explains how the company reached $1 billion revenue in five years by building AI-powered finance automation that eliminates bureaucratic waste, competing against AmEx through relentless product iteration and consumer-grade business software design.
Key Questions Answered
- •Policy Agents Replace Manual Reviews: Ramp's AI policy agents run 24/7 with more context than human reviewers—integrated with calendars, emails, and expense policies—to automatically classify transactions as in-policy or not, eliminating the manual back-and-forth that traditionally takes days and improving policy clarity over time through continuous learning.
- •Consumer-Grade Design for Business Software: Ramp converts over 50% of sales conversations into customers within 30-60 days by obsessing over minimizing user time in the app—prefilling every possible form field, skipping unnecessary questions, and automating 85% of expense reviews with 99% accuracy rather than building for decision-makers alone.
- •Speed Through Predictable Breakage: Build systems that break in predictable ways and recover quickly rather than engineering for perfection. Split teams into money-critical functions that never break and innovation areas that can break 10 times daily, allowing 20 fixes per day without customer impact—speed matters more than flawless execution in high-upside areas.
- •Technical Founders See Possibilities First: Engineers can identify what's possible with new technology before domain experts request it—the gap between having subject matter expertise and not having it is the smallest ever due to LLMs. Technical people asking the right questions of AI can become functional experts in marketing, procurement, or accounting faster than traditional learning paths.
- •Marketing Velocity Through System Design: Reduce creative iteration from two weeks to ten minutes by eliminating approval bottlenecks—enable teams to generate on-brand assets instantly with internal AI tools, change billboards seven times weekly for less cost than two static billboards, and let individuals own creative decisions without committee review to maximize experimentation speed.
Notable Moment
On the day Ramp announced its $13 billion valuation, Atiyeh spent the entire time identifying product problems and team inefficiencies rather than celebrating. He views current results as lagging indicators baked in months ago—the real work is solving today's problems that will determine performance six to twelve months forward, not celebrating past achievements.
Episode Transcript
Here's an interesting question to think about. If your finance team suddenly had an extra week every month, what would you have them work on? Most CFOs don't know because their finance teams are grinding it out on lost expense reports, invoice coding, and tracking down receipts until the last possible minute. That's exactly the problem that Ramp set out to solve. Looking at the parts of finance everyone quietly hates and asking why are humans doing any of this? Turns out they don't need to. Ramp's AI handles 85% of expense reviews automatically with 99% accuracy, which means your finance team stops being the department that processes stuff and starts being the team that thinks about stuff. Here's the real shift. Companies using Ramp aren't just saving time, they're reallocating it. While competitors spend two weeks closing their books, you're already planning next quarter. While they're cleaning up spreadsheets, you're thinking about new pricing strategy, new markets, and where the next dollar of ROI comes from. That difference compounds. Go to ramp.com/invest to try Ramp and see how much leverage your team gains when the work you have to do stops getting in the way of the work that you want to do. To me, Ridgeline isn't just a software provider. It's a true partner in innovation. They're redefining what's possible in asset management technology, helping firms scale faster, operate smarter, and stay ahead of the curve. I wanna share a real world example of how they're making a difference. Let me introduce you to Brian. Brian, please introduce yourself and tell us a bit about your role. My name is Brian Strang. I'm the technical operations lead, and I work at Congress Asset Management. How would you describe your experience working with Ridgeline? Ridgeline is a technology partner, not a software vendor, and the people really care. I get sales calls all the time, and I ignore them. Ridgeline sold me very quickly. We went from 7,000,000,000 to 23,000,000,000, and the goal is 50,000,000,000. Ridgeline was the clear front runner to help us scale. In your view, what most distinguishes Ridgeline? They reimagined how this industry should work because obviously they were operating on another level. It's worth reaching out to Ridgeline to see what the unlock can be for your firm. Visit ridgelineapps.com to schedule a demo. One of the hardest parts of investing is seeing what's shifting before everyone else does. AlphaSense is helping investors do exactly that. You may already know AlphaSense as the market intelligence platform trusted by 75% of the world's top hedge funds, providing access to over 500,000,000 premium sources from company filings and broker research to news, trade journals, and over 200,000 expert transcript calls. What you might not know is that they've recently launched something game changing, AI powered channel checks. Channel checks give you a real time expert driven perspective on public companies weeks before they show in earnings or consensus revisions. AlphaSense uses an AI interviewer to run …
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