Control plane: Operational
UTC: --:--:--
// ai_cost_monitoring · operational

AI Cost Monitoring and attribution that finance trusts.

AI invoices arrive faster than anyone can explain them. stackcontrolai meters every call in real time, attributes spend to the team, app, feature, and prompt — and enforces budgets and hard caps before the next surprise.

  • SOC 2 Type II
  • ISO 27001 ready
  • EU AI Act aligned
  • SaaS · VPC · self-host
−38%
average AI spend
$48k
saved per quarter
tracked per request
// why teams adopt ai cost monitoring
problem 01

Provider invoices land mid-month with no team-level breakdown.

problem 02

There is no kill-switch when a runaway loop burns the monthly budget by noon.

problem 03

FinOps wants chargeback; nobody has the data to produce it.

// capabilities

What ships with AI Cost Monitoring.

6 modules · operational
// frequently asked · ai cost monitoring
How granular is attribution?expand

Every call carries the team, app, feature, route, prompt id, and user where available. Spend rolls up cleanly to any of those dimensions and exports to your warehouse for joins with revenue data.

Can we enforce hard caps, not just alerts?expand

Yes. Hard caps are policy: when a team or app exceeds its budget, subsequent calls are blocked at the router with a clear error, before the provider is hit.

Do you support showback and chargeback?expand

Both. Showback dashboards are built in; chargeback exports run on a schedule to CSV, Snowflake, BigQuery, or your FinOps platform with stable cost-center mapping.

How do you actually reduce spend?expand

Three levers: prompt caching where outputs are stable, prompt compression on long contexts, and per-route cheaper-model suggestions backed by eval scores. Savings are reported per route, not as a single global number.

// the other surfaces
// ready when you are

Run ai cost monitoring in your stack.

One control plane your security, finance, and platform teams already trust. Live console, no signup.