Why your AI spend is invisible and what to do about it

The visibility gap

Open your Anthropic dashboard right now. You'll see a total spend number and maybe a daily chart. That's it. No breakdown by developer, project, task type, or model tier.

OpenAI is the same. Google is the same. Every provider shows you the bill but not the decisions behind it.

Why it matters

If you can't see who's spending what, you can't optimize. You can't tell the difference between a developer who spends $200/month writing excellent code with Opus and one who spends $200/month pasting the same prompt into Haiku in a loop.

What attribution looks like

Good spend visibility answers three questions:

• -Who is spending? Per-developer and per-team breakdowns.
• -On what? Model, task type, input/output ratio, cache hit rate.
• -Is it working? Cost per useful output, not just cost per call.

The Tokeven approach

The wrapper captures metadata at the call site — developer identity, model, token counts, cache state — and pushes it to a dashboard that answers all three questions. Prompt content never reaches Tokeven. No API keys are shared.

The result: every dollar of AI spend traces back to a person, a task, and a result. That's the foundation for optimization.