Your Agents Are Spending Money You Can't See.

Cloud FinOps governs infrastructure, and general AI FinOps governs model and inference spend. AI Agent FinOps is agent-native: it treats loops, retries, tool calls, and fan-out as first-class cost drivers and attributes cost per agent, per task, and per tool call. That is the level at which agentic spend actually happens, and it is invisible in a standard cloud or model bill.

Agents can loop, retry, and recurse in ways that look like normal traffic until the invoice arrives. A reasoning loop that should run three times runs three hundred, or a tool call fans out and each branch calls a premium model. We install hard limits on loop depth, retries, and recursion, plus budget circuit breakers, so a single misbehaving agent cannot quietly consume the month's budget.

The audit is read-only and does not require raw data to leave your environment. We instrument agent execution, cost, and tool calls to build the per-task baseline, consistent with Spartera's zero-data-movement approach.

The audit and roadmap are fixed-fee. On the optimization phase, we can structure part of the fee as a share of the measured, invoice-reconciled savings, so a meaningful portion of what you pay is tied to cost actually removed. The audit fee also credits 100% toward ongoing governance.

It reflects published field data on agent deployments: roughly 22% run net-negative ROI by month 12. The driver is almost never the model itself. It is unmanaged per-task cost that no one instrumented until it became a problem, which is exactly what this engagement prevents.