aizome
Use case: AI Agent Cost Control

Token prices dropped 67%. Enterprise AI bills went up 320%. Your agents are the reason.

AI agents consume tokens continuously, autonomously, and across dozens of concurrent workflows - with no attribution to a cost center, no owner accountable for the bill, and no mechanism to stop a runaway agent before it exhausts your annual budget. aizome gives finance and IT a single view of every agent, every API call, and every unit of spend - attributed, governed, and auditable in real time.

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Spend Nobody's Watching

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73%FinOps Foundation State of FinOps 2026 - 1,192 practitioners, $83B in annual spend

of organizations report AI costs exceeded original projections in 2026.

4 monthsPortal26, 2026

Uber deployed Claude Code to 5,000 engineers in December 2025. By April 2026, the entire annual AI budget was exhausted.

98%FinOps Foundation 2026

of FinOps practitioners are now responsible for managing AI spend - up from 31% in 2024. The playbook doesn't exist yet.

Spend, Attributed and Controlled

Every AI agent. Every API call. Every token consumed. In real time.

Enterprise AI bills climbed 320% between 2024 and 2026 - not because tokens got more expensive, but because volume exploded and nobody was watching it. aizome surfaces token usage and API call volume per agent, per user, and per cost center in real time. Live consumption. Continuously updated.

Every unit of AI spend is attributed to the AI agent owner and respective department.

Costs are no longer driven by seats. Costs are no longer attributed. They're driven by autonomous AI agent activity that no existing financial tool was built to capture and allocate. aizome attributes every token consumed to the employee or team or department that owns the AI agent - enabling chargeback, budget governance, attribution, and cost accountability at workforce scale.

Consumption spikes flagged before they become budget crises.

Uber exhausted its entire 2026 AI budget in four months. A 340% usage spike in a single agent isn't just a billing problem. It's a security problem. aizome flags anomalous consumption patterns continuously - surfacing runaway AI agents before they exhaust budgets, and catching the security events hiding inside cost spikes.

Cap tokens. Restrict data per session. Stop bulk extraction before it starts.

aizome's data volume controls cap tokens and data returned per session, preventing runaway cost accumulation and bulk data exfiltration through the same control.

Without aizome / With aizome

The difference shows up before the first incident does.

Withoutaizome

  • Token consumption is invisible until the invoice arrives
  • No attribution - nobody knows which agent, which team, or which cost center owns the bill
  • A runaway agent can exhaust an annual AI budget in weeks - with no alert
  • FinOps teams inherited a cost structure with no established playbook for agents
  • Security and finance operate in silos - the same consumption anomaly triggers no shared alert

Withaizome

  • Token usage and API call volume visible per agent, per user, per cost center in real time
  • Every unit of spend attributed to the agent owner - chargeback and governance enabled
  • Consumption anomalies flagged automatically - cost signal and security signal in one
  • Data volume controls cap tokens and data per session - no runaway agents, no bulk extraction
  • Finance and IT share a single view of AI agent spend - from the same platform governing security
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Questions, Answered

What teams ask about AI agent cost control. Talk to us

Related Use Cases

Your agents are spending your budget.
aizome tells you exactly which ones, how much, and why.

Our platform provides comprehensive tools to help your business succeed with integrated features and seamless workflows.

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aizome enterprise AI agent governance platform