Skip to content

Token Economics capability

Govern AI spend like cloud spend.

Track who uses which AI models and under what rules, with the same cost control as cloud.

AI usage by team · this month
TeamOwnerAllowed modelsBudget usedException
SupportSupport leadSmall, Large
82%
None
SearchSearch leadSmall, Embeddings
47%
None
Data scienceData science leadAny approved
96%
Over 90% budget
Marketing—Not set
12%
No owner
Exceptions go to the accountable owner for review

What it does

Make someone accountable for model usage.

Track who uses which AI models and why, with the same cost control as your cloud.

Data in

Cloud & operational data

Approved sources and scope

→

Analysis

Context & decisions

Rules, economics, ownership

→

Result

Measured outcomes

Review, validate, report

Why it matters

Govern model usage across every team and app.

See who uses which AI models, under which rules and at what cost, and spot what needs review.

Example

Review an application exceeding its approved model-spend threshold.

Data and results

The data and rules behind each AI spend call.

Required data and dependencies

AI service and application metadata, configured ownership and governance policies.

Operational outputs

AI cost ownership views, policy context and governance exceptions.

Related capabilities

Released capability

See AI Spend Governance in context.

Check how this feature fits your cloud, data, permissions and business needs.

Availability note

The CloudScore product team confirms what’s available; setup depth and requirements depend on your deployment.

Book a demo

Test AI governance on your own usage.

We’ll show this feature with examples like yours and explain the data and permissions it needs.