AI spend is invisible until it isn't.
In the early stages of an AI deployment, usage is contained and costs are predictable. As adoption spreads across teams and use cases, that changes. Agents run more frequently, token consumption grows, and without a control layer, the first sign of a problem is often a bill that nobody expected.
Unframe's Usage & Spend module gives administrators the visibility and controls to stay ahead of that.
Full visibility, across every provider
All model consumption is tracked in one place - regardless of which underlying provider or model is in use. Administrators can see a breakdown by user, by agent, and by provider, with token usage and cost attribution at each level. Nothing is aggregated into a number that obscures where the spend is actually coming from.
Limits that enforce themselves
Administrators can set hard or soft caps on token consumption and spend at the group, user, or tenant level. When a limit is approached, the platform alerts. When it is reached, agents stop - or escalate, depending on how the limit is configured. No manual intervention required.
What this means for the business
AI budgets that are visible are AI budgets that can be managed. Usage & Spend turns a line item that typically surprises finance teams into something that can be planned, allocated, and enforced - without slowing down the teams doing the work.
