Use case - Product, Monetization, Finance
Meter the work your AI completes.
Connect user actions, workflow events, and AI traces. Define the completed outcome that counts as a work unit, then measure it accurately for pricing and billing.
A work unit can span many events, agents, tools, and human steps.
AI WORK UNITS
Define the unit your customer understands.
A work unit is a completed piece of work your customer can count, understand, and verify. Define it differently for each workflow: a completed case, processed application, accepted questionnaire, resolved request, or another meaningful outcome.
Workflow-specific
Each workflow can have its own definition of completed work.
Journey-level
One unit can span multiple agents, traces, tools, systems, and user actions.
Value-aligned
Meter the completed work delivered, not every low-level event or model call.
COMPLETION
Count it only when the outcome qualifies.
Define what has to happen before work counts. Completion can depend on a workflow state, user acceptance, quality threshold, or another signal from the journey.
METERING
Turn completed outcomes into a verifiable usage record.
Measure work units by customer, workflow, and time period. Trace every unit back to the journey, events, and AI activity that produced it.
| Customer | Work unit | Completed | Metered |
|---|---|---|---|
| Acme | Completed cases | 128 | 128 |
| Acme | Accepted reviews | 43 | 43 |
| Acme | Processed applications | 317 | 317 |
Stop pricing AI on proxies.
Meter the work customers receive.