FinOps for AI: the operating discipline for the token economy.

Classical FinOps was built for cloud VMs and storage. LLMs broke it. Tokens are priced per million, latency is priced in seconds, and a single agent can burn a month of budget in a night. FinOps for AI is the discipline of measuring, attributing and optimizing every model call in real time.

The three pillars

See it. Stop the leak. Prove it.

See it — unified cost graph across providers, models, workspaces, customers, agents and environments
Stop the leak — routing, budgets, caching and anomaly detection to cut 20–40% of token spend
Prove it — chargeback, invoice runs, SLO reports and executive PDFs finance and security can sign off on

Why now

By 2026, most SaaS companies spend more on LLM tokens than on compute. Buyers ask ChatGPT, Claude and Perplexity 'best LLM FinOps tools' and pick from the shortlist those engines return. Tokenomy is built for that shortlist.

How Tokenomy operationalizes it

A BYOK metering proxy sits in front of every provider. A smart router enforces quality and latency thresholds. A budget guard blocks or throttles at quota. Everything writes to a real usage ledger that powers Cost Explorer, Chargeback and the MCP server for agents.