Free calculator · 60 seconds

AI ROI calculator for your team.

Adjust the inputs to your business. The calculator estimates annual time savings, total dollar value, and the payback period on a typical AI implementation — based on benchmarks from real B2B engagements.

Your inputs
Marketers, salespeople, ops, finance, exec — anyone whose work AI can amplify
10
Include salary, benefits, equity, overhead — typical knowledge worker $80K–$140K
$110K
Typically 25–40% for knowledge work — drafting, research, analysis, docs
30%
% of AI-replaceable hours actually saved with proper implementation (typical: 50–70%)
60%
Software ($30/seat Claude Team) + implementation ($3,500–$25K) + training. Typical $8K–$30K for 5–25 person team.
$10K
Estimated annual ROI
$198K
Annual dollar value of time saved
Hours saved per year 3,744 hrs
Equivalent FTEs 1.8 FTE
First-year net (savings − AI cost) $188K
Payback period 3 weeks
Year-one ROI multiple 19.8×
Conservative estimates. Real-world results vary based on implementation quality and team adoption.

About these numbers: The default values assume a 10-person knowledge-work team with average loaded cost of $110K, 30% AI-replaceable work, and 60% realistic capture rate after proper implementation. Adjust the sliders to model your specific business. The calculator assumes 1,872 working hours per FTE per year (52 weeks × 36 productive hours).

How the math works

What's behind the calculation

The calculator multiplies four things: team size × loaded annual cost × % AI-replaceable work × capture rate. That gives the dollar value of time saved annually. The payback period divides your AI investment by the monthly savings rate.

The two variables that swing the output the most are capture rate (how much of the theoretical AI-replaceable work you actually capture in practice) and % AI-replaceable (varies significantly by role — content production teams hit 50%+, while customer-facing reps closer to 20%).

The default capture rate of 60% reflects a properly-implemented deployment with shared Claude Projects, system prompts, and team training. Without those, capture rate drops to 15–25% — which is why most companies that "deploy AI" produce no measurable return. See why most AI implementations fail for that pattern.

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