LLM chargeback and showback
Showback reports LLM spend to the teams and products that caused it. Chargeback assigns that spend to their budgets. Most organizations should start with showback because teams need time to trust the numbers before those numbers affect budget decisions.
The challenge is allocation accuracy. A simple provider bill cannot tell you which feature, tenant, or team produced a token. You need request metadata from the gateway, application, or orchestration layer. Without that metadata, chargeback becomes a political argument instead of an operating system.
Good showback reports
- Break spend down by product area and team owner.
- Show the top workloads and month-over-month changes.
- Separate model price changes from traffic growth.
- Identify optimization candidates owned by each team.
- Keep unallocated spend visible.
When to charge back
Chargeback makes sense once attribution coverage is high and teams can influence the cost drivers. Do not charge teams for untagged shared infrastructure, stale price tables, or central platform decisions they cannot change.
A strong model uses showback for education, then chargeback for mature cost centers. It also protects experimentation budgets so teams do not avoid useful AI features simply because early traffic is hard to predict.