Quantify the business case for AI adoption. Adjust your team size, developer costs, and productivity assumptions — and see the estimated return on investment update in real time.
Used by engineering leaders and finance teams to build internal business cases for AI tooling budgets. No data is collected — all calculations run locally in your browser.
Industry research: developers using AI tools report 25–50% productivity gains. GitHub / ICSME 2022
Annual Savings
$289,875
ROI
12078%
* Estimates only. Actual results vary by team, tooling, and adoption rate.
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Monthly developer cost = team size × hourly rate × weekly coding hours × 4.33 (average weeks/month). Productivity value is that baseline cost multiplied by your gain percentage. Net savings subtract the monthly tool licence cost. ROI = annual net savings ÷ annual tool spend × 100.
Productivity gain range (10–50%) is informed by GitHub's 2022 Copilot study and McKinsey's generative AI developer study.