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Use case: AI Agent Cost Control

Token costs dropped. AI bills tripled. Your AI agents are why.

AI agents consume tokens continuously across dozens of workflows - with no cost center attribution, no accountable owner, and nothing to stop a runaway agent before it exhausts your budget. aizome gives every agent a cost owner, a limit, and an audit trail.

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Spend Nobody’s Watching

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73%

of organizations report AI costs exceeded original projections in 2026.

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

4 months

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

Portal26, 2026

98%

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

FinOps Foundation 2026

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 nobody was watching volume. aizome surfaces consumption per agent, per user, and per cost center in real time.

Every unit of AI spend attributed to an owner and a cost center.

AI costs are no longer driven by seats - they’re driven by autonomous agent activity no financial tool was built to capture. aizome attributes every token to the employee, team, or department that owns the agent. Chargeback, budget governance, and cost accountability at scale.

Consumption spikes flagged before they become budget crises.

Uber exhausted its entire 2026 AI budget in four months. A 340% usage spike isn’t just a billing problem - it’s a security signal. aizome flags anomalous consumption continuously, catching runaway agents before they exhaust budgets and 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

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