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Ramp targets AI’s fastest-growing cost with expanded token spend tracking

Ramp Business Corporation expanded its AI Token Spend Management product, giving finance teams a single dashboard to track and control spending on artificial intelligence across providers including OpenAI Group PBC, Anthropic PBC and Google LLC's Gemini. The product, which grew out of a system Ramp built for its own finance team where 99.5% of employees use AI tools daily, pulls AI costs into one view with weekly briefings, invoice reconciliation and overrun alerts. Ramp Chief Financial Officer Will Petrie said managing AI spend is about knowing where to invest next, as one in three customers already has access to a cheaper model that handles the same task.

read3 min views13 publishedJul 16, 2026
Ramp targets AI’s fastest-growing cost with expanded token spend tracking
Image: Siliconangle (auto-discovered)

Ramp targets AI’s fastest-growing cost with expanded token spend tracking

Ramp Business Corporation today expanded its AI Token Spend Management product, giving finance teams a single system to see and control what their companies spend on artificial intelligence across providers.

Token spend has become one of the fastest-growing categories of business spending, but finance teams often have little insight into where the money is going. The expanded product pulls AI costs from providers including OpenAI Group PBC, Anthropic PBC and Google LLC’s Gemini into one dashboard, alongside weekly briefings on spending trends, invoice reconciliation against actual usage and alerts that flag overruns before they land.

The gap, according to Ramp, is structural. For years, finance teams tracked two kinds of spending: people and vendors. AI tokens are a third kind and they behave differently. The costs are usage-based and spread across teams and providers. They’re tied to application programming interface keys rather than cardholders and billed through invoices that rarely show what was actually consumed.

Companies can connect Anthropic, OpenAI, Gemini, Cursor and OpenRouter, then filter spending by provider, team, person, project or API key. Finance can set limits by team, project or key and route anomaly alerts to stakeholders before usage runs past plan.

Ramp said thousands of businesses have already linked their AI providers to the platform and that the system regularly surfaces ways to cut costs, including shifting workloads to cheaper models. One in three customers, the company said, has access to a model that costs less and handles the same task just as well.

“Managing AI spend is not just about controlling costs. It is about knowing where to invest next,” said Ramp Chief Financial Officer Will Petrie. “Finance teams need to see which use cases are creating value, where spend is drifting, and where another dollar can drive the most growth.”

At AngelList Advisors LLC, a weekly briefing flagged prompt caching, a cost-saving technique that one of the company’s controllers said had not been on his radar, after the company had been losing $10,000 a month. Engineering implemented the fix the same day.

The product grew out of a system Ramp built for its own finance team, where the company says 99.5% of employees use AI tools daily and token spending has become a material operating cost. It is free to start for Ramp customers and non-customers alike.

Founded in 2019 and based in New York, Ramp raised $750 million in a Series F round in June at a $44 billion valuation, led by ICONIQ Capital, GIC Pvt. Ltd. and Ontario Teachers’ Pension Plan. The round brought the company’s total funding to more than $3 billion.

Image: Ramp

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