AI spend is spreading across chatbots, coding agents, APIs, and embedded SaaS features
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.
Get a Demo0application code
changes required
changes required
4ways to break down
every token
every token
Costin your own
pricing table
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.
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, IT
Model Drift
The same workflow can cost several times more when users or agents switch models.
OWNERFinOps, IT
Embedded AI in SaaS
AI features hide inside software renewals and bundled vendor contracts.
OWNERProcurement, IT
No Chargeback Path
One vendor bill rarely maps cleanly to the departments, users, or workflows that created the spend.
OWNERFinOps, IT
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
Claude API + Code
OpenAI API + Codex
Gemini CLI
Cursor + Coding Agents
Bedrock + Custom APIs
↑
↑
↑
↑
↑
Cost & Chargeback
Usage Insights
Token Measurement
↑
↑
↑
↑
↑
NNetra AI Data Graph
Observe
Activity Capture
Understand
AI + Data Context
Govern
Policy + Enforcement
Prove
Evidence + Integrations
↑
↑
Users & Devices
AI Agents and Tools
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.
01
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.
02
Understand
Usage & Adoption
Cluster usage by scenario, department, workflow, and agentic versus human activity.
Turn cost-cutting into a value conversation.
03
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.
04
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.
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.
Get a Demo