Use Case

Attribute Every Dollar of AI Spend to a Business Outcome

Enterprise AI subscriptions are growing 6x in 18 months with no cost attribution. Tokra introduces the token budget as a management primitive — with per-user, per-department cost tracking and waste detection.

The challenge

What keeps you up at night

23% of AI spend is wasted

Employees use frontier models for tasks a smaller model handles equally well. Redundant queries, poorly structured prompts, and unclassified usage burn budget without producing value.

No per-employee attribution

Finance teams see aggregate invoices from OpenAI, Anthropic, and Google — but cannot attribute costs to individuals, departments, or projects.

Unrecovered personal usage

A meaningful portion of AI spend is personal use on company accounts — with no mechanism to identify, quantify, or recover those costs.

How Tokra solves it

Your AI governance layer

Token-level analytics

Exact token consumption and cost per user, per department, per project, and per LLM provider. Personal vs. business classification is automatic.

Waste alerts and budget enforcement

Configurable token budgets with soft caps, hard caps, and escalation chains. Real-time alerts when spending approaches or exceeds limits.

R&D tax credit substantiation

Exportable usage reports formatted for R&D tax credit claims worth $25K-$75K or more per year — turning compliance into revenue.

$25K-$75K+

in R&D tax credits organizations miss annually without AI usage documentation

See Tokra in action

Book a personalized demo to see how Tokra can help your team govern AI usage at the device level.