Invest Like the Best with Patrick O'Shaughnessy
Invest Like the Best with Patrick O'Shaughnessy

Karim Atiyeh - Building Ramp - [Invest Like the Best, EP.445]

My guest today is Karim Atiyeh. Karim is the co-founder and CTO of Ramp, the fastest-growing finance automation platform in history, reaching over $1 billion in revenue in just over five years. Ramp is, of course, also our presenting sponsor, so I’m obviously very biased in how highly I think about

Featured Speakers

Kareem Artia Guest

Topics Discussed

Episode Summary

Executive Summary: Patrick O’Shaughnessy interviews Ramp co-founder/CTO Kareem Artia about building “self-driving finance” with AI agents, Ramp’s product philosophy, and his founder journey from Lebanon to MIT to Paribus and Ramp. The conversation shows how Ramp uses speed, design, and technical leadership to automate finance workflows and challenge incumbents.

Main Topics: AI as product, not just productivity (Priority: 5/5): Kareem argues the next phase is programming LLMs into the product itself. Ramp’s self-driving finance vision (Priority: 5/5): Ramp aims to automate finance workflows so users barely need to log in. Consumer-grade UX for business software (Priority: 4/5): Ramp wins by reducing friction and making business tools feel effortless. Culture built on mutual accountability (Priority: 4/5): Teams own outcomes end-to-end and stay aligned across functions. Founder lessons from Paribus (Priority: 4/5): Paribus taught rapid, resilient systems design and what breaks should be tolerated. Hiring for spikes and speed (Priority: 4/5): Ramp seeks unusually strong people with clear superpowers and fast execution. Capital, investors, and long-term partnership (Priority: 3/5): Ramp treats investors like employees: selective, aligned, and actively managed.

Key Arguments: LLMs should become the product logic itself, not just a coding assistant. Policy agents can enforce expense rules 24/7 with more context than humans. Ramp’s advantage comes from minimizing user time, not maximizing app engagement. Business software should feel consumer-grade, like Instagram, not Concur. As companies get larger, card volume plateaus, so SaaS pricing is needed. Technical founders see product possibilities others miss, especially in AI. Speed matters because process often drifts companies toward average performance.

Data Points: expense reviews automated by AI: 85% - Ramp’s tools automate expense review work. expense review accuracy: 99% - Ramp claims high accuracy in automated expense reviews. company savings: 5% - Ramp says customers save 5%. revenue milestone: over a billion in revenue - Ramp reached this in just over five years. valuation round: $13 billion - Referenced as a major fundraising milestone. customer adoption threshold: 50 plus percent - Sales conversations converted to customers within 30 to 60 days. current market share mention: sub 2% of corporate card alone - Kareem says Ramp is still small relative to the total market. time in business at Ramp: six years - He describes Ramp as only six years into its journey. RSI cohort size: 60, 70 or so students - Kareem recalls attending MIT’s Research Science Institute. Paribus growth: approaching a million users - He says Paribus grew rapidly within about a year.

Pivotal Quotes: "Your code is the LLM now. Your code is the LLM plus instructions and an infinite loop." — Kareem Artia: Explaining the shift from using AI to embedding AI into products. "I want the user experience of an Instagram, but applied to business software." — Kareem Artia: Describing Ramp’s design philosophy. "I would love Ramp to be the last job that they ever have to apply for." — Kareem Artia: Describing what he’s most proud of at Ramp.

Implications: Ramp’s next challenge is turning workflow automation into true autonomy; the unresolved question is how quickly finance operations can disappear into software and agents.

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