FinOps for AI
FinOps for AI applies the discipline you already use on cloud infrastructure to your fastest-growing line item: AI. As spend on Amazon Bedrock and Google Vertex AI climbs, GetFinOps breaks it down by model, provider and period, next to the cost of the AI calls GetFinOps makes in your workspace.
Why AI spend needs its own FinOps practice
AI cost behaves nothing like EC2. Providers bill input, output, and cache tokens at different rates; a single agent run can fan out into dozens of hidden sub-calls; and model pricing changes without warning. Treating the AI bill as one opaque number hides the waste. FinOps for AI breaks the spend down by model and provider so it becomes legible and controllable.
See every token, priced correctly
GetFinOps captures usage per model and prices it against a maintained rate catalog — including cache-creation and cache-read tokens that Anthropic reports separately from input. Every Claude call GetFinOps makes for your workspace is recorded with its tokens, cost and Anthropic’s request ID.
Find AI spend to cut
The same findings engine that flags cloud waste flags AI waste: a spike in Amazon Bedrock or Vertex AI spend, with a suggestion to rate-limit the caller or switch to a cheaper model tier, and Bedrock provisioned throughput or Vertex AI endpoints that are paid for but barely used. These are findings for you to act on; GetFinOps does not change AI resources itself.
How GetFinOps delivers FinOps for AI
Amazon Bedrock and Google Vertex AI spend by model and provider, next to the Claude calls GetFinOps makes for you.
Every Claude call made for your workspace, recorded with its tokens, cost and request ID.
A plain-English daily brief that explains where the AI bill moved and why.
Query and act on your AI spend from Claude Desktop, Cursor, or Claude Code.
FinOps for AI — frequently asked questions
What is FinOps for AI?
FinOps for AI is the practice of bringing cloud financial management — visibility, allocation, forecasting, and optimization — to spend on AI and large language models. It treats tokens, models, and agents as first-class cost dimensions rather than folding them into a single opaque invoice.
How is AI spend different from cloud spend?
AI providers bill input, output, and cache tokens at different rates, pricing changes frequently, and one agent request can trigger many hidden sub-calls. That makes AI spend harder to attribute and forecast than steady-state infrastructure, so it needs token-level metering and reconciliation against the provider invoice.
Which AI providers does GetFinOps support?
GetFinOps tracks Amazon Bedrock spend from AWS Cost Explorer and Google Vertex AI spend from your BigQuery billing export, and records every Claude call it makes for your workspace, priced per model. Spend your own applications send straight to Anthropic, OpenAI or other model APIs is not collected.
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See FinOps for AI on your own cloud
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