Ramp's AI-driven expense review system reduced review time from 48 hours to 5 minutes, cut error rates from 3.2% to 0.4%, and reduced associated labor costs by 67%, among the clearer enterprise AI case studies to emerge in 2026. The underlying task, matching receipts and expense policies against submitted claims, is well-suited to automation precisely because the rules are explicit and the volume is high.
A roughly 500-fold reduction in review time is large enough that it changes the nature of the workflow rather than simply speeding up the existing one: near-instant review makes real-time spend policy enforcement possible in a way that a 48-hour batch process never could, regardless of how much that batch process was optimized.