Run-cost visibility
Measure workflow cost per run before scaling automation volume.
Opsmeter.io
AI Cost & Inference Control
Workflow cost attribution
Track AI cost by workflow
Agent and automation workflows can hide expensive stages. Workflow attribution reveals where spend compounds and what to fix first.
Where teams usually miss visibility
Teams can see total AI spend but cannot explain which workflow step or run pattern is driving variance.
Faster remediation
Find the workflow stage causing inflation, then patch quickly.
Governance at scale
Apply budget policies to workflows that represent real spend risk.
How Opsmeter tracks this dimension
Tag each request with workflow context
Carry workflow identifiers, stage tags, and stable request IDs.
Normalize stages into one cost graph
Opsmeter maps mixed-provider usage into workflow-level metrics.
Inspect run and stage concentration
Compare baseline and current cost/run by workflow and endpoint.
Workflow economics snapshot
| Dimension row | Metric | Context |
|---|---|---|
| workflow: sales_email_generator | $0.24 / run | Healthy with bounded output length. |
| workflow: support_auto_resolve | $1.08 / run | Escalation branch increases token cost. |
| workflow: report_builder | +29% monthly cost | Volume growth without prompt compression. |
Operationalize this attribution model
Start with one endpoint, then expand attribution coverage by tenant, user, and workflow.