According to a recent LinkedIn post from Ramp, the company is highlighting how AI firm Perplexity manages a high volume of corporate card transactions with a lean finance organization. The post describes a 10-person finance team and a single person in the general ledger function handling 7,000 to 9,000 monthly card transactions.
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The post suggests that 97% of these transactions are auto-coded with no manual intervention, enabling the automation of more than 163 hours of finance work each month. It also notes that Perplexity has reportedly generated over $5 million through spend controls and cashback mechanisms.
According to the LinkedIn content, the case centers on Controller Lauren Feeney, who is portrayed as scaling the finance function not by adding headcount but by building infrastructure for leverage. For investors, this example underscores Ramp’s emphasis on automation, spend optimization, and efficiency gains for high-growth customers.
If representative more broadly, such efficiencies could support higher customer retention, upsell potential, and strong unit economics for Ramp’s spend management offerings. The narrative may also signal competitive positioning in the AI and high-growth tech segment, where finance teams seek to control costs while supporting rapid scale.