Netra Token Governance

Every Token, Attributed.
Every Dollar, Explained.

Netra meters AI spend and resolves every token to a named person, department, model, channel, and workflow, using your own pricing table.

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0application code
changes required

4ways to break down
every token

Costin your own
pricing table

The Gap

AI adoption moves fast.
Its ledger does not.

AI usage now crosses tools, contracts, endpoints, and teams. The bill consolidates all of it into totals that conceal the decisions behind the spend.

AI spend is spreading across chatbots, coding agents, APIs, and embedded SaaS features

Finance receives vendor invoices, but not user-, team-, or workflow-level attribution

Security and IT teams lack a shared ledger for usage, cost, and policy control

The invoice arrives every month. The answer to "who spent this, and on what?" does not.

The Problem

Four Ways AI Spend Goes Dark

None of these show up as a line item anyone can act on.

Agent Amplification

One autonomous run can outspend a week of chat.

OWNERFinOps, Engineering

Model Drift

The same workflow can cost several times more when users or agents switch models.

OWNERFinOps, Architecture

Embedded AI in SaaS

AI features hide inside software renewals and bundled vendor contracts.

OWNERProcurement, CFO

No Chargeback Path

One vendor bill rarely maps cleanly to the departments, users, or workflows that created the spend.

OWNERCFO, Finance Business Partners

Common core: the spend happens on employee machines, inside AI tools, and within signed contracts, not in a request path finance can easily control.

How It Works

One Ledger, Every Token

No gateway, no proxy, no SDK. Netra uses its control layer to connect AI usage, token measurement, cost attribution, and policy controls.

Netra Token Governance architecture showing token measurement, usage insights, cost chargeback, and the Netra AI control layer

Netra turns an AI invoice into a per-person, per-department, per-model answer without changing application code.

Capabilities

Measure. Understand. Cap. Price.

One policy model across observability, control, and chargeback.

Measure

Token Insights

Every token is resolved by user, department, model, channel, and purpose at the endpoint, without requiring a gateway.

Finance's missing list, by name.

Understand

Usage & Adoption

Cluster usage by scenario, department, workflow, and agentic versus human activity.

Turn cost-cutting into a value conversation.

Control

Quotas & Thresholds

Set scopes, reset periods, limit types, warnings, alerts, and actions when usage exceeds policy.

Set the ceiling before finance finds the overrun.

Quotas & Thresholds dashboard illustration

Price It

Cost Table & Chargeback

Use customer-defined rates to convert tokens into spend, supporting showback first and chargeback when teams are ready.

A fast setup step for proving value during a POV.

Cost Table & Chargeback dashboard illustration

Turn visibility into control

See What AI Is Actually
Costing You

Run a proof of value on your own AI usage data, not a demo environment.