AI spend moves fast. Know where your next AI dollar is going.

Finance has spent years building systems to control traditional spend like T&E and software. AI spend is different. It moves faster, and it's harder to predict or explain.

Say AI spend jumped by $10,000 in a month. Maybe a new feature took off with customers, which is worth every dollar. Or maybe nobody enabled caching, and you spent a month paying full price to answer the same question over and over.

Today, finance can't easily tell the difference, let alone in real time. Billing is scattered across provider dashboards, corporate cards and confusing invoices. API keys make it hard to know who’s spending on what, and the person spending is rarely accountable for the bill.

Fragmented data is only part of the problem. AI providers and finance teams are solving for different things. Every provider wants you using their latest release. Finance, on the other hand, wants to know when more is worth it: does this work deserve a bigger budget, or would a lower-cost model do the job just as well?

Finance needs the tools to make those calls before the bill arrives. At Ramp, our mission is to save you time and money, and AI spend is no exception. We connect spend to teams, users, and projects, then show opportunities to save and invest more effectively, without favoring any provider or model.

We built AI Token Spend Management alongside more than 1,300 businesses managing 100+ trillion tokens each month. Now you can see spend across providers, understand what changed and where to save, and set controls without slowing the team down.

Step 1: See the full picture

Ramp consolidates spend across providers including Anthropic, OpenAI, Gemini, and Cursor into one dashboard. Break it down by provider, model, user, or API key, then organize it by project or team to see exactly where each charge comes from.

“As CFO, I need to give stakeholders timely financial information so they can make informed decisions. Ramp's Token Spend gives us real-time visibility into AI spend across providers, by user, model, and team, without burdening finance with manual reporting.”
-Christy Schwartz, CFO at Opendoor

Visibility gives finance and engineering the same view of spend, so both can weigh in on what happens next. When spend is connected to owners and projects, teams can investigate changes earlier to make timely tradeoffs and create greater accountability.

We believe this visibility is foundational for finance teams as AI becomes one of the fastest-growing costs on the books. That’s why we’re giving every business free access to see its total AI spend, where it's going, and what it's driving.

Step 2: Understand what changed

Seeing total AI spend in one place is the first step. The next is understanding what changed and where you can be more efficient.

Every week, Ramp sends finance teams an analysis explaining the biggest week-over-week changes in spend, unusual spikes, and saving recommendations.

It summarizes the technical choices behind changes in plain language, so finance can have a say in the decisions driving spend: Is the expensive model worth it? Would a lower-cost one do just fine? Is prompt caching missing? Does this work need a higher reasoning setting?

“Ramp’s Token Spend Management briefing surfaced ‘prompt caching,’ not something on my radar as a Controller. I routed it to engineering immediately and we found we’d been losing $10,000 a month. We implemented the fix the same day.”
-Greg C., Controller at Angellist

Ramp found potential savings worth 12% of monthly AI spend for the average business. Here's what that's looked like in practice:

• An alert caught a $1,600 weekend spend spike from one user tied to a new model. Finance followed up with that user to find out why.
• One team spent more than $3,000 using Anthropic’s Opus model for work that the lower-cost Sonnet model could handle. The company made Sonnet the default moving forward.
• Fast Mode drove a 6x cost increase over one week at one company, even though the work didn’t need faster output. They turned it off.

Step 3: Control spend before the bill

Acting on spend spikes or runaway costs has meant picking between two bad options: broad controls that slow every team down, or policies that nobody follows. Ramp now gives finance a third option: flexible controls.

Ramp suggests limits based on the trends it's noticing and sends anomaly alerts through Slack or email so teams can take action in real time. Teams can set soft or hard limits by user or API key, choose when alerts are triggered, and notify the right people, including key owners, managers, and other teammates.

Every AI dollar is a decision. Make it count.

As AI usage grows, model capabilities and pricing will keep changing. The right model for a given task this week could change next week.

The companies that manage this growth best won’t be the ones spending the least. They’ll be the ones that know where the next AI dollar should go.

Let Ramp be your partner in that decision, so you spend less time tracking models and more time growing your business.

"We're not even live on Ramp yet and we're already using this feature. Everyone wanted AI access, and at the same time, tokens became more expensive, so visibility into AI costs quickly became business critical. The timing couldn't have been better.”
- Greg K., Director of Corporate IT & Enterprise Security at Front

AI Token Spend Management is available now for all Ramp customers.
Not on Ramp? Get free access to see where your AI spend is going.