Ramp is a finance operations platform combining corporate cards, expense management, bill pay, procurement, and travel management. It processes over $200 billion in annual spend across 70,000+ organizations. The core product is free, generating revenue from interchange fees rather than software subscriptions.
Ramp Intelligence is the AI layer. Transaction categorization happens at the moment a card is swiped, not at month-end. The AI reads merchant category codes, vendor names, and historical patterns to code expenses to the correct GL account at 92% accuracy. The remaining 8% routes to human review with full context. For finance teams spending evenings reviewing expense reports, this transforms a monthly chore into a continuous, mostly automated process.
AI Policy Enforcement is the feature that separates Ramp from traditional expense tools. Spend controls are set before purchases happen, not enforced after receipts are submitted. Admins configure rules by merchant category, vendor name, dollar amount, or time period, and the AI blocks out-of-policy spending at the card level. A manager can’t expense a flight upgrade if the policy prohibits it, full stop. No approval needed after the fact because the purchase can’t happen in the first place.
Savings Insights is Ramp’s flagship AI capability. It analyzes your spending patterns to identify duplicate SaaS subscriptions (the same tool billed across multiple cards), underused licenses, vendor pricing anomalies, and negotiation opportunities. Ramp’s own data shows customers save an average of 5% on total company spending in the first year.
AI Invoice Extraction handles bill pay with OCR scanning and matching. It’s functional for standard invoice volumes but reviewers consistently note that purpose-built AP platforms (Vic.ai, BILL) go deeper on three-way PO matching and complex multi-tier approval workflows. Ramp is best for SMBs with moderate bill pay needs, not mid-market finance teams with 1,000+ monthly invoices.
Ramp Intelligence for AI Spend Management was launched in 2025: finance teams get visibility into AI tool and model costs alongside traditional expense categories. As AI tooling proliferates across organizations, this SaaS-within-SaaS visibility is increasingly relevant.