Summary:

Mid-market finance teams still spend 30–40% of their week on low-value work: chasing receipts, coding transactions, reviewing invoices, and prepping for close. This session shows how Ramp uses AI agents, trained on patterns from 50,000+ businesses, to eliminate that overhead. Not a future roadmap, but what's delivering ROI today.

Takeaway:

AI in finance isn't about replacing your team, it's about giving them back the hours lost to reconciliation and compliance so they can focus on strategy.

Key Discussion Points:

• AI agents that autonomously flag fraud, code expenses, and enforce policy and know when to escalate to a human
• Agentic workflows that auto-approve low-risk transactions and route exceptions for review, replacing manual approval chains
• Real-time fraud detection that scans for anomalies and AI-generated fakes
• AI-powered spend optimization: software negotiation benchmarking, automatic hotel rebooking when prices drop, and vendor payment timing to maximize cashback
• Measurable ROI: businesses saving an average of 5% on total spend through more efficient workflows and automated cost recovery