AI Usage Visibility
Track every token your AI engineer spends.No bill shock. No guesswork.
Every end-user chat, technician chat, investigation, workflow, and ticket attributed to its token cost - in real time, by source, by model, by day. The dashboard below is what ships inside the product on day one.
| Source | Prompt | Completion | Total | Requests |
|---|---|---|---|---|
| Investigations | 11,616,000 | 384,000 | 12,000,000 | 1,200 |
| End-User Conversations | 8,712,000 | 288,000 | 9,000,000 | 1,800 |
| Technician Conversations | 7,260,000 | 240,000 | 7,500,000 | 750 |
| Workflow Runs | 4,356,000 | 144,000 | 4,500,000 | 3,400 |
| Tickets | 4,356,000 | 144,000 | 4,500,000 | 900 |
Sample dashboard for a 250-endpoint MSP at the "Typical" usage profile (~150K tokens / endpoint / month). The real view inside your tenant streams live, attributable to the same source categories, with per-model + per-day drill-downs.
Why MSPs ask for this first.
Every team evaluating an AI L1 engineer has been through one bill-shock story. The dashboard answers the three questions a CFO actually asks before signing.
Every token attributed to one of five sources: end-user chat, technician chat, investigation, workflow run, ticket. Hover any tile to see the requests that drove it. No black-box billing.
Monthly estimate, daily run-rate, and per-endpoint average refresh live. Project against 250, 1000, or 10,000 endpoints with one input. Use it to lock annual budgets - or to compare against your BYO provider's bill.
Daily trend + tokens-per-request panel surfaces unusual usage the day it happens. Set alert thresholds per source or per model. New playbook spiking your investigations? You'll know on day one, not on the invoice.
See your real numbers in 30 days.
Trial runs against a slice of endpoints you choose. Dashboard above streams live from your tenant from day one - autonomy rate, token cost, source attribution, all real.