Interactive FinOps worksheet

AI agent cost per accepted outcome calculator

Calculate AI agent workflow cost across models, tools, runtime, retries, human review, exceptions, attempts, and business-accepted outcomes.

How BlueBear handles the work

Use accepted outcomes as the denominator

A completed model call is not necessarily a valid business result. Reconcile accepted outcomes with the workflow owner or system of record.

Evidence: Attempt count, accepted outcome count, rejection reasons, and reconciliation period

Include recovery and human work

Retries, fallbacks, approvals, queue handling, and exception resolution can materially change unit economics even when provider cost looks low.

Evidence: Correlated retry events, active review time, loaded labor rate, and exception time

Document allocation assumptions

Use an approved, repeatable method to allocate runtime and shared tool costs. Keep the measurement window, rate source, exclusions, and workflow version beside the result.

Evidence: Reproducible input sheet and dated methodology

Compare policy changes, not vanity totals

Measure the same workflow before and after a routing, prompt, tool, or approval-policy change. Track cost, acceptance, latency, and failure rate together.

Evidence: Comparable versions, sample sizes, quality gates, and confidence range

From request to inspectable outcome

  1. Collect

    Export model, tool, runtime, retry, review, exception, and accepted-outcome inputs.

  2. Calculate

    Compute total workflow cost and divide it by accepted outcomes.

  3. Challenge

    Review exclusions, allocation rules, sample size, and acceptance criteria.

  4. Improve

    Change one policy variable and compare the full outcome economics.

AI agent cost-per-outcome formula

Total model, tool, runtime, retry, review, and exception cost divided by business-accepted outcomes. Open this page in a browser to edit the interactive worksheet.

Primary sources