Attribute it. AI cost is opaque because tokens are not tied to who spent them or why. Latten reads your AI's real traffic and shows cost per actor, per model, and per data domain — live — so you can find spend that has no owner and cut it without slowing anyone down.
See it on a live graph — no signup →A monthly token bill tells you the number, not the cause. Latten turns it into cost per actor and per model, so the number has a story you can act on.
Runaway loops and orphaned sessions are where AI cost hides. Seeing them attributed is the difference between trimming guesswork and cutting the actual waste.
Because the view is per actor, you reduce what is wasteful without touching what is working — no blunt, across-the-board limits that slow the whole company.
Token bills aren't attributed — they don't say which actor, model, or data drove the spend. Latten attributes every reach so the cost has an owner.
No. Latten observes; it does not run your workloads. It shows the cost you already have, attributed.
Live, in minutes after instrumenting — there is no batch export to wait on.