Every AI conversation has a price. This dashboard makes it visible.
A reporting platform that tracks what AI assistants actually cost to run. As conversations happen, usage is recorded and priced, then presented as reporting a finance team can act on — rather than a single opaque number at the end of the month.
The platform is multi-tenant. Each client sees only their own activity, while an administrator manages the wider setup across accounts. Cost is broken down by model, by assistant, and over time, so it is always clear where the spend is going.
The problem it solves: teams adopt AI assistants quickly and then lose track of what they cost. Spend arrives as one lump figure with no way to tell which assistant, which model, or which part of the business drove it. This platform attributes every bit of it, so budgets can be planned instead of guessed at.
Track spend day by day and see how it moves as usage grows or a model changes.
See which models carry the cost, so the expensive ones can be justified or swapped.
Follow how many people are actually using each assistant, and how much they ask of it.
Spot when load concentrates during the day and plan capacity around the real pattern.
Compare assistants side by side — cost and reach for each one, in the same picture.
Administrator and client roles, with each account's data kept to itself.