AI FinOps
The system that knows which agent did it also knows which agent spent it
Attribution is the hard part of AI cost control, and it falls out of the security telemetry for free. Once every action carries an agent, an owner and a business purpose, spend stops being a provider invoice and becomes a governed resource.
Attribute
Spend by agent, team, application, customer, task and environment.
Constrain
Budgets, quotas and concurrency limits with soft and hard thresholds.
Route
Model selection by task class, sensitivity, latency and budget.
Visibility
AI FinOps & Spend Governance
Once Agent Trust Cloud observes model and tool usage, it can give organizations a unified view of AI spend by agent and business purpose. This creates a second economic buyer and turns security telemetry into operational savings.
What we build
- Normalize token/model/API/tool costs across providers.
- Attribute spend to agent, team, application, customer, task and environment.
- Detect idle agents, redundant calls, runaway loops and expensive model misuse.
- Forecast month-end spend and show unit economics per task/outcome.
- Provide chargeback/showback exports.
How it works
- Ingest provider billing/usage data and correlate with runtime event IDs where possible.
- Separate estimated real-time cost from finalized invoice cost.
- Provide cost anomaly alerts and budget policies.
- Avoid optimizing price in ways that violate security, quality or data-residency policy.
EXPANSION MOTION
Land with security; expand into FinOps when the platform already knows which agent caused the spend.
Enforcement
Budgets, Quotas & Model Routing
Budget enforcement should control not only dollars but also rate, concurrency and model selection. Policy-aware routing can reduce cost while preserving required quality, security and residency.
What we build
- Budgets per agent/team/application with soft and hard thresholds.
- Token/request/tool-call quotas and concurrency limits.
- Model routing policies by task class, sensitivity, latency and budget.
- Fallback provider chains constrained by approved-provider policy.
- Emergency throttle for runaway agents.
How it works
- Evaluate budgets before expensive model/tool calls when possible.
- Support exception approval for one-time overruns.
- Use historical outcomes to recommend cheaper routes, but require admin acceptance for policy changes.
- Expose budget context in developer APIs so agents can degrade gracefully.
FINOPS CONTROL
Treat dollars, tokens and calls as governed resources just like data and permissions.
Expansion motion
Land with security. Expand into finance.
FinOps is not a separate product bolted on — it reads the same normalized agent-authority-action graph. That is why it can answer questions a provider bill cannot: which agent, for which task, on whose behalf, and whether the spend was authorized at all.