AI Usage Visibility
Track every AI token GenticFlow uses. No bill shock. No guesswork.
GenticFlow uses AI across the support workflow: end-user chat, technician assistance, device investigation, workflow execution, and ticket context. This page shows exactly where that usage comes from, what it costs, and how it changes over time - 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 teams ask for this first.
Every team evaluating AI-driven IT support worries about the same thing: unpredictable usage and surprise costs. 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.
A free pilot runs on a set of endpoints you choose. Dashboard above streams live from your tenant from day one - support activity, AI usage, source attribution, investigation volume, and cost trends, all real.