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Ramp Launches AI-Driven Budgeting to Tie Live Spend Directly to Financial Plans

Ramp Launches AI-Driven Budgeting to Tie Live Spend Directly to Financial Plans

New updates have been reported about Ramp.

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Ramp is expanding its financial operations platform with the launch of Ramp Budgets, an AI-driven tool that links companies’ budget plans directly to real-time spend across corporate cards, reimbursements, bills, and purchase orders. The product is designed to replace spreadsheet-based budgeting and manual reconciliations, giving finance teams and budget owners a live view of what has been spent, what is committed, and what remains in each budget line. Chief Product Officer Geoff Charles said the tool extends the platform’s existing real-time spend visibility into automated budget tracking and control, enabling faster, data-backed decisions. Ramp Intelligence, the company’s AI layer, automatically formats uploaded budgets, maps transactions to the correct lines, flags anomalies and trends, and will soon support AI-assisted budget creation using historical and benchmark data.

For Ramp’s business, Budgets adds a higher-value workflow atop its core spend infrastructure, deepening product stickiness and potentially increasing monetization opportunities as more financial decision-making moves into the platform. The new capabilities place budget context directly into approval flows, accounts payable, and spend controls, including AI agents that can autonomously approve invoices if they are within budget or escalate exceptions, reducing finance workload and cycle times. Early customer feedback from companies such as Crumbl and Quora highlights shorter approval times, better budget ownership by functional leaders, and a shift in finance teams’ role from transactional support to strategic partnership. With more than 50,000 customers and over $100 billion in annual purchase volume already running through Ramp, embedding real-time budgeting into its stack strengthens the company’s position as a system-of-record and control for corporate spend and could drive greater adoption among mid-market and larger enterprises seeking tighter cost discipline and real-time financial visibility.

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