AI Cost per Accepted Result Calculator
Stop treating attempted AI tasks as successful business outcomes. Calculate cost per accepted result, quality yield and the gap between apparent and effective unit cost. All calculations run locally in your browser.
Your pilot inputs
Every attempt, including rejected work.
Outputs passing a documented quality check.
Include extra infrastructure, exception handling or retry charges not counted above. Avoid double counting.
Decision scorecard
Quality threshold not met.
Cost per accepted result = (model/tools + human review/rework + other incremental costs) / accepted outputs. If accepted outputs are zero, the unit cost is undefined.
How to interpret your result
In the fictional starting example, 100 attempts produce 80 accepted outputs. The team spends $40 on tools and $60 on review. Apparent cost is $1 per attempt. Effective cost is $1.25 per accepted result. Acceptance is 80%, below a hypothetical 90% quality gate. Lower unit cost alone does not prove ROI.
Before approval, define the acceptance test, compare with the current workflow using the same quality standard, count setup and oversight costs, and verify measured savings with actual records. This calculator is an educational decision aid, not a financial forecast or vendor benchmark.
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