See, attribute, and control what every AI agent costs.
For finance and FinOps — the seat that turns agent spend from a surprise into a program.
AI spend grows faster than anyone forecast, and the bill arrives as one number you can't question. You can't see it by model, agent, user, or provider; you can't tell governed spend from risky; and nothing stops a single agent from running away. The control plane closes that gap — from reactive visibility to forward-looking control.
Spend you can't see, attribute, or stop.
A total at the end of the month is not a cost program. It's a number finance can't defend, can't charge back, and can't cap before the next one is bigger.
Invisible spend
The bill doesn't break down by model, agent, user, or provider — so you can't see which choices are driving the curve, or which numbers are estimates versus billed.
Unattributable spend
Vendor aliases and proxy-only agents carry cost no department will accept, because nothing connects the spend to a person who answers for it.
Uncapped spend
Most agents, users, and tools run with no ceiling. A single misbehaving loop can outspend a team, and the first warning of a breach is usually the invoice.
Spend you can attribute, trust, and cap — before the overage.
The FinOps job has one shape: see it, attribute it, control it. Each surface answers a stage of it.
Attribution four ways
Cost by model, agent, user, and provider, with estimates and billed amounts kept honest and apart — so every line of the bill has a cause you can act on.
Governance-tagged spend
See exactly how much money flows through risky or ungoverned agents — the spend you'd most want to question — and watch it fall as you bring them under control.
Spend ceilings on every axis
Usage Limits caps each user, agent, and tool, with run-rate and days-to-breach turning a static budget into early warning, not an after-the-fact explanation.
Showback and owner rollups
Per-person showback rolls cost and risk up to the people behind each agent, so chargeback starts from evidence instead of argument.
From reactive visibility to forward-looking control.
A dashboard tells you what already happened. A control plane changes what happens next — on a ladder that never breaks real work.
Audit
Start by observing. Watch spend by axis, surface uncapped entities, and learn the run-rate before you touch a thing.
Assist
Escalate to alerts. Run-rate and days-to-breach warn the owner while there's still time to act, not after the money is gone.
Enforce
Only then, hard-stop. Ceilings cap each user, agent, and tool — the runaway is stopped before it starts, not explained after.
Estimates stay honest
Token-derived estimates and billed amounts never blur together. Finance always knows which numbers to trust and which to verify.
The blind spot is priced
Spend with no identity behind it isn't quietly absorbed — it surfaces as unchargeable liability, so you know exactly what to bind to a person next.
What the finance seat makes legible.
Put a cause, a name, and a ceiling behind every dollar.
Attribution, showback, and spend ceilings — so AI spend is something you run, not something that runs you.