Introduction
Procurement at a 500-person company is usually a chain of Slack messages, spreadsheets, and email threads: someone wants a new software tool, finance asks for a quote, legal wants to see the contract, IT asks about security, and three weeks later the vendor is still waiting for a purchase order. Ramp Procurement brings intake, approvals, purchase orders, and payment into the same system as the Ramp card and Bill Pay, and Ramp has been rolling out AI agents across finance workflows. This question asks for an agent that runs a purchase request from intake to payment with humans only stepping in where judgment is needed.
This is a hard design question because the user is not a single person. The requester, approvers, finance, legal, and the vendor all interact with the same request, and the agent must be trusted with money. I'll clarify scope, explain why now, pick a segment, map the journey's pain points, design the agent, and define how we would know it works.
For agent design questions, interviewers listen for one thing above all: where the human stays in the loop and why. Be explicit about the agent's autonomy boundaries.
Step 1
Clarify Questions (3 minutes)
Propose the Goal
Cut median request-to-purchase time from weeks to days while ensuring every purchase has the right approvals, a budget owner, and a negotiated price check, and keep finance's manual touches per request near zero for routine purchases.
Define the Scope
In scope: intake, vendor and price research, routing approvals, security and legal hand-offs, PO creation, payment method selection (virtual card or Bill Pay), and renewal monitoring. Out of scope: direct materials procurement and complex RFPs with many bidders.
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