Burn Control is FinOps for teams running AI agents in production — built for the failure modes standard cloud cost tools never see: retry storms, tool-call explosion, and coding agents left running unattended.
30 minutes, no deck. We trace one week of your agent spend live.
Cloud cost tools assume spend that scales roughly with traffic. Agents don't work that way — one stuck loop can burn a month's budget in an afternoon, and nobody notices until the invoice lands.
An agent stuck retrying a failing call, multiplying token spend with every attempt instead of failing loudly and stopping.
A plan that hands off to more tools than the task needed, each hop quietly adding its own cost on top of the last.
Claude Code, Cursor, and Copilot left running against a task that should have stopped an hour — and several dollars — ago.
One path, three stages. Each stage stands alone, and each one sets up the next.
We trace your agent spend end to end and quantify exactly where retry storms, tool sprawl, and idle agents are burning budget — then hand you a ranked list of what to fix first.
We build the guardrails directly into your pipeline: circuit breakers, retry caps, per-agent budget ceilings — the controls that stop the next storm before it reaches your invoice.
Someone owns agent spend infrastructure the way a fractional CFO owns the numbers — watching thresholds, tuning guardrails, and answering for the bill before finance has to ask.
You're not evaluating whether to use agents — you already have them in production, and the spend is starting to get someone's attention.
Your agents are live, not a pilot — and nobody currently owns their spend the way someone owns your cloud bill.
A usage-based AI invoice already surprised someone in finance, and they've started asking questions engineering can't fully answer.
Your platform or DevOps team is capable of fixing this, but stretched too thin to build spend guardrails from scratch.
You'd rather fix the pipeline than add another dashboard that shows you the number after it's already spent.
Burn Control is run by Umar, who spent years in cloud and DevOps engineering — AWS, Terraform, CI/CD, Kubernetes — watching cost incidents get caught at 2am by the person on call, not by a dashboard.
He approaches FinOps from an engineering-first perspective and understands that cost has a blast radius, and the fix belongs in the pipeline, not a slide deck.
30 minutes. Bring last month's AI infra bill — we'll tell you, live, where it's likely leaking.