Your AI bill is growing.
The ROI story doesn't exist.
The budget review arrives. The board asks what AI is delivering. The vendor invoices and expense reports do not answer.
Spend without attribution
AI bills arrive from cloud providers, model APIs, SaaS tools, and employee subscriptions with no way to connect them back to a team, workflow, or result. Money goes out. Nobody can explain what came back.
Token counts aren't business metrics
Dashboards show you API calls, token consumption, and model invocations. None of that answers the question leadership is actually asking: "What are we getting for this?"
Shadow AI makes it worse
Employees are bringing their own AI tools — subscriptions on personal cards, browser extensions, unofficial API keys. The actual AI footprint across your org is bigger than what shows up in finance.
From token tracking to true cost intelligence
Most tools stop at tokens, calls, and vendor totals. Proxon starts with discovery, then attributes spend to the work and value it produced.
Find the full AI footprint
Proxon surfaces every AI tool, model, agent, and workflow running across your organization — including shadow AI. You can't attribute what you can't see.
Connect spend to work
Every dollar is tied back to the workflow that triggered it, the team that owns it, and the business process it supports. Cost becomes explainable.
Prove what's working
See which AI investments are generating real returns and which are burning budget. Cut what isn't working. Double down on what is.
An AI spend report finance can actually use
Not another usage dashboard. A clear map of where AI money goes, who owns it, and which workflows deserve more budget.
Vendor, team, and workflow view
See AI spend by provider, department, workflow, owner, and business process instead of reconciling scattered invoices by hand.
Value tied to outcomes
Connect cost to cycle-time reduction, automation volume, output quality, and other business signals that explain why the spend exists.
Cut, cap, or scale
Identify redundant tools, runaway workflows, high-return patterns, and places where cheaper models can do the same job.
Know what your AI budget is buying.
Get a spend map that shows where AI money is going, who owns it, and what business value it is producing.
Get Your AI Spend Map →