What is Cost Per Outcome?
Cost per outcome measures what it costs to achieve a specific business result with AI — like resolving a ticket or converting a lead — not just the raw API spend.
Cost per outcome is a way of measuring AI spend by the business result it produces — cost per resolved support ticket, cost per qualified lead, cost per document summarized — rather than by raw API usage alone. It connects AI spend to value, which is the number finance and leadership teams actually need to evaluate ROI.
Why cost per token isn't enough
Knowing you spent $18,400 on a feature tells you nothing about whether that spend was worthwhile. Knowing you spent $0.04 per resolved ticket, compared to a $12 cost for manual resolution, tells you the AI investment is working.
How to measure cost per outcome
It requires tagging each AI-powered interaction with both its cost and its eventual outcome (resolved, escalated, converted, failed) so the two can be joined and averaged per outcome type.
How Cognocient measures cost per outcome
Cognocient's Outcomes feature lets teams tag any API call with a single header (X-Cost-Outcome) and automatically calculates cost-per-outcome breakdowns by feature — the number CFOs need to approve or expand AI budgets.
Find my waste — free trial → — see cost per outcome for your own features in under 5 minutes.
Related: AI spend attribution · AI Efficiency Score · Outcomes & ROI
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AI FinOps Glossary
Definitions for AI spend management terms: token maxing, context tax, cost per outcome, AI spend attribution, and more.
What is Token Maxing?
Token maxing is the practice of using expensive frontier AI models for tasks that cheaper models handle equally well.
What is Context Tax?
Context tax is the recurring cost of sending a large, mostly-static system prompt with every API call.