How Ramp helped Barry's save 400 hours/month on expense report headaches
Barry's legacy finance systems imposed two-to-three-day lead times on expenses and transactions, required the controller to spend 3-4 hours per week manually coding expenses and an additional 2-3 hours chasing outstanding submissions, and consumed 1-2 full days of her time plus 2-3 days of a colleague's for each month-end close—with no real-time spend visibility at any point during the month.
After deploying Ramp, Barry's saved nearly 400 hours a month collectively by eliminating manual expense reporting, generated an approximate $5,000 cost saving by catching a duplicate vendor charge, and the team gained real-time studio-level financial dashboards with no further manual expense work for the controller.
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Frequently asked questions
What did this team achieve with this AI workflow?
After deploying Ramp, Barry's saved nearly 400 hours a month collectively by eliminating manual expense reporting, generated an approximate $5,000 cost saving by catching a duplicate vendor charge, and the team gained…
What tools did this team use?
Ramp.
What results were reported?
Hours saved per month: nearly 400 hours a month; Cost savings from duplicate vendor detection: approximately $5,000; Controller weekly manual expense coding time (before): 3-4 hours each week; Controller weekly reminder and tracking time (before): 2-3 hours (source-reported, not independently verified).
How is this expense management AI workflow structured?
Ramp cards issued company-wide → Manager-set card rules and limits → Automated expense reminders → Duplicate and cost-saving opportunity flag → Real-time studio financial dashboards.