Finance · FinOps
See, attribute, and control what every AI agent costs
Your seat answers four FinOps questions: what are we spending, who is it for, how much is exposed — and are we on track against budget? Start here, then attribute and control where the dollars point.
$684.50 spent across 8 agents. At the recent ~$115.57/day run-rate this month projects to $3.5k — 16% over the $3.0k budget. And 42% of spend ($290.50) flows through agents you can't cleanly charge back or control.
Total spend
across 8 agents · 11% estimated
Projected this month
$3.5k▲ 16% over $3.0k budget
Spend at risk
$290.50 risky · $122.10 ungoverned
Provider concentration
Anthropic · 54% from cache
Are we on track? — spend trajectory vs budget
over by ~$467.00/mo$3.0k monthly budget
At ~$115.57/day you cross the $3.0k budget in ~20 days. Set a ceiling or re-route now.
Where spend goes — by agent
$684.50 totalTop driver Claude Code at $214.50 (31% of fleet spend).
Provider concentration
58% on Anthropic58% of spend rides one provider — a pricing / availability concentration. 54% served from cache avoids ~$1.9k at current run-rate.
Spend you can't charge back or control
42% at risk42% of spend flows through agents with posture < 80 or no policy binding — $122.10 of it has no chargeback owner at all. Attribute it in Showback.
Your surfaces
Do next
Lensed to the finance seat. Derived from app/data/c16-fleet.ts: costs.totals · costs.series (run-rate) · costs.by_agent · costs.by_provider · governanceTaggedSpend · weeksToTarget · agents.