Product Philosophy and Empathy

• Most important thing beyond empathy: need great taste for product development
• Must deeply understand customer experience and pain points
• Need to understand customer needs better than customers themselves in some cases
• Only then can build well-designed products that automate tasks efficiently
• Engineers at Ramp participate in customer calls during product releases
• Engineers accountable for metrics and performance outcomes
• Everyone at Ramp talks to customers with recent frequency
• Core part of great product cultures

Ramp Company Overview

• Mission: make companies more profitable and operate smoothly
• Built command and control system for company finances
• One place to: issue cards, manage approvals, make payments, automate book closing
• Average company saves ~5% per year on expenses using Ramp
• Over 5 years: billions in savings, thousands of years of labor saved
• Customers: large public companies (Shopify, Virgin Voyages, Boys and Girls Club) + 25,000 other businesses
• Focus: make people more productive with time and money

Early AI Experience (2015)

• Built AI agent at Paribus in 2015 (pre-AI hype)
• Integrated with email (Gmail, Yahoo) to scan receipts
• Tracked prices of purchased items
• Generated emails to stores for price adjustment refunds when prices dropped
• Users would wake up to $100+ refunds automatically
• Narrow use case but millions used it
• Demonstrates agentic AI existed long before current wave

Current AI Vision at Ramp

• Dedicated to helping spend less money and time
• AI enables new tools for this mission
• Focus on pain points: processes causing excess time/money spending
• Finance teams have tedious monotony: auditing expense reports by hand, downloading spreadsheets, rerunning analyses
• Vision: automate tedious/monotonous tasks through better design and integrated tools
• Zero-touch expenses: tap Ramp card → receipt pulled from merchant/email → expense report done automatically
• Apply LLMs to transaction data and general ledger for autocomplete expenses
• Books effectively do themselves
• Over time: point to ways for business to operate more efficiently

AI Implementation Categories

Zero Touch AI

• No UX interaction required after setup
• Examples: expense report automation, accounting completion
• Predicting user inputs with high confidence
• Expanding surface area of automated tasks

Agentic AI

• User prompts desired outcome
• AI shows how to accomplish task and does it
• Example: "Issue card with $50 budget only for Starbucks"
• Tour Guide feature: LLM reads screen, guides through steps
• Built on GPT-4o multimodal capabilities
• Interface like hiring analyst: "I want this done, go figure it out"

User Experience Philosophy

• People trained to learn apps vs apps adapting to people
• Should focus on running business, not managing app intricacies
• Great design reduces steps, makes things easier/intuitive
• Balance powerful tools with simplicity
• Moving toward prompting outcomes rather than navigating interfaces
• Analogy to self-driving cars: early monitoring → full automation as trust builds

Culture and Customer Focus

• Not AI-driven finance tool marketed as AI
• Lead with benefits and outcomes, not technology
• Impossible to use Ramp without AI (embedded throughout)
• Focus on problem first, then solution
• Prevent abstracting makers from problems
• Everyone talks to customers regularly (unlike many scaling companies)
• Engineers on customer calls during releases
• Accountable for metrics and performance

AI as Step Function Change

• Biggest productivity shift in lifetime
• Human-level reasoning available through APIs
• Profound ramifications for software businesses
• Changed traditional moats (features, integrations, lock-in)
• AI automation in multiple areas: outreach, SDRs, customer service, copywriting
• Can listen to 100,000 sales calls simultaneously
• Most people experimenting with ChatGPT but not incorporating into daily work

Future of Finance Leaders

• Automate low-value parts of job
• Current reality: first 6-15 days of month on tagging transactions, downloading spreadsheets
• Only last 5 days on real strategic work
• In 5 years: work streams more strategic, insightful, value-creation focused
• Historical precedent: bookkeepers declined ~1M, financial analysts/strategists grew ~1M
• People moved to higher abstraction level, more valuable work

Founder Advice

• Focus on timeless truths that won't change in 10-100 years
• Start with customer problems that are timeless
• Real customers, real businesses, actual problems
• Then discover technological shifts to solve in new/disruptive ways
• Be timeless rather than timely
• Great companies built over decades
• Hopes Ramp is last company he works on

Rapid Fire Responses

Favorite AI App

• Cognition Labs' Devon (AI engineer)
• Agentic use case with core innovations
• Has tools engineers have: notebook, planner, browser, shell access
• Can watch what Devon does, mistakes it makes
• Taught new way to think about design

Industries to Change Most

• Healthcare: continuous measurement vs annual checkups, diagnosis improvement, return humanity to care
• Design and creation: no longer about understanding tools, but making interesting/intuitive things

Financial Services Observations

• Traditional players (AmEx, Chase, Citi) founded by people in top hats
• Never really changed through technology evolution
• Banks had monopoly on moving/storing money
• Now non-banks can introduce great technology
• Apple as fintech innovator: connecting money movement to identification, reducing fraud/friction
• Disruptors likely from outside traditional finance

Person Most Admired in AI

• Satya Nadella (Microsoft CEO)
• Partnership with OpenAI, moving from research to production
• Thinking in decades, not just weeks/years
• Sincerity and kindness in operations
• Mentorship to Ramp team on agentic AI design