AI Spend Management
See every token.
Control every dollar.
See every AI dollar in one place, explain what changed, and act on savings so every dollar goes further without slowing your teams down.
No Ramp card required.
Get ahead of your fastest growing line item.
See it
Understand it
Control it
Optimize it
See what separates efficient AI teams from expensive ones.
We analyzed 110T tokens and found 3 distinct spending profiles with different model choices, caching habits, prompts, and spend controls.
See how you compare
CFOs need to know what their AI spend is buying.
400T+
tokens tracked in the last 30 days, so you benchmark against real spend(as of Nov '26)
1 in 2
businesses find a lower-cost model alternative(as of Nov '26)
7 in 10
customers paid less per token last quarter, even as their usage grew(May–Jul vs Aug–Oct 2026)
“We flagged that somebody was using Fast Mode unnecessarily and that resulted in six times the token spend over a seven-day period. They've since turned it off. That is one story in which basically the product pays for itself.”
Neusha Sayadian, Founder & Fractional CFO at Sansa Services
“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
“The briefing surfaced 'prompt caching' — not something on my radar as a Controller. I routed it to engineering immediately. We found we'd been losing $10,000 a month, and the fix was implemented the same day.”
Greg Cooley, Controller at AngelList
How Daxko turns AI token spend management into better model choices
Read the storyTurn AI spend data into
decisions you can act on.
See your AI spend in one place.
Connect Anthropic, OpenAI, Gemini, Bedrock, and more. Track spend by model, team, or project; no manual spreadsheets.
Translate tokens into dollars you can explain.
Get weekly briefings on what changed, why, and which model or setting changes will save you money.
Catch surprises before they hit your AI bill.
Ramp flags spikes in real-time to keep you informed. From there, set limits on users or API keys and choose when to get notified.
Pay less per token on every workload.
Engineering acts on your savings recommendations in Ramp Router, with one endpoint to every major model and real-time caps. Ramp cut its own AI costs by ~30%.
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FAQ
Ramp's AI Spend Management gives you one place to see, understand, control, and optimize what your company spends on AI. It pulls cost and usage data from your AI providers into a single dashboard, sends a weekly briefing on what changed and why, and lets you set spend limits that alert the right people before anyone goes over budget.
When Ramp finds a way to save on API usage, your Engineering team can act on it with Ramp Router. They can cap spend in real time, limit teams to approved models, fall back automatically when a provider goes down, and choose the right model and provider for each workload. You track the results in the same view.
Two kinds of companies use it:
You already have AI spend you need to manage. You're running production workloads on Anthropic or OpenAI, your Cursor licenses are multiplying, and finance can't tell you how much AI costs the company this quarter. You need visibility, controls, and a way to manage AI bills.
You're just getting started with AI. Your team is experimenting with AI tools, spend is small but growing fast, and you want to get ahead of it before it becomes a problem. Start free and grow into the controls as your usage scales.
Either way, you don't need to be a Ramp customer. Connect your AI providers as a standalone user, or activate AI Spend Management on your existing Ramp account.
AI Spend Management works with Anthropic (Claude API and Claude Enterprise), OpenAI (OpenAI API and ChatGPT Enterprise), Google Cloud (Gemini and Vertex AI), AWS Bedrock, Cursor, and Fireworks AI. We keep adding the providers our customers use most, like Azure OpenAI, coming soon.
You'll need an Enterprise plan or API usage to connect. Claude Team, ChatGPT Business, and personal plans don't include the usage data Ramp needs, but you can still connect the matching developer API to track API-billed usage. See setup requirements by provider.
AI Spend Management finds where you're overspending, like a costly model on routine work or Fast Mode left on. Share the recommendation with Engineering, and they can switch the model, set routing rules, or cap spend for that workload in Router.
You can adopt either product on its own. AI Spend Management is for Finance teams who need visibility and control across AI providers. Router is for Engineering teams who want one endpoint to every major model, with controls and routing built in.
Together, Finance and Engineering share one view, one bill, and one set of controls. Router spend shows up next to the rest of your AI spend, limits set in either product show up in both, and Router enforces them in real time on routed traffic. Ramp never changes your traffic on its own. Engineering decides what to apply, and you both see what it saved.
AI Spend Management comes in two plans, depending on where you are with AI.
Free fits teams just starting out, often on a single provider. Connect your providers to see spend by provider, model, team, and person, with a basic summary and benchmarks against similar companies.
Paid fits teams with growing spend across multiple providers. It adds spike alerts, soft or hard limits, personalized briefings for admins, managers, and employees, and exact savings recommendations your Engineering team can act on in Router. That's the same governance you have for the rest of your spend, now for AI. It's one annual platform fee based on your AI spend. Talk to our team for pricing.