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

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

AI fintechenterprise SiliconANGLE
Ramp has launched a dedicated management dashboard for AI token spend, framing AI model usage as a distinct and volatile category of business operating costs.
What: Ramp's expanded AI Token Spend Management product tracks consumption across OpenAI, Anthropic, Gemini, Cursor, and OpenRouter. It identifies cost-saving opportunities, such as switching to cheaper models or implementing prompt caching, and allows finance teams to set granular spending limits.
Why it matters: AI token consumption is increasingly becoming a 'material operating cost' that standard accounting software cannot track, as these expenses are tied to API keys and usage volume rather than traditional vendor invoices.
Takeaway: If you are managing high API costs, use Ramp's dashboard to see if your team is over-spending on high-end models where a cheaper, open-source model would perform equally well.
Deep dive
  • Centralizes AI costs from providers like OpenAI, Anthropic, and Google into a single dashboard.
  • Tracks spend by individual, team, project, or API key.
  • Provides automated alerts for anomalies and overruns.
  • Integrates with OpenRouter to monitor routing behavior.
  • Identified that 1 in 3 customers could switch to cheaper models without performance loss.
  • Surfaces technical optimizations like prompt caching that can reduce monthly bills by thousands of dollars.
Decoder
  • Prompt caching: An optimization technique where the LLM provider stores frequently used prompt components (like long system instructions or documentation) so they don't have to be re-processed with every request, significantly lowering costs.
  • API key: A unique string used to authenticate and track usage of an AI model's services.
Original article

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.

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