Agent ROI Calculator
Compare the cost of AI agents against human workers. Estimate savings, ROI, and break-even timelines for automating roles with AI.
Human Workforce Cost
Accounts for benefits, taxes, overhead (typically 1.2x -- 1.5x)
40%
0% -- No automation100% -- Fully automated
Agent Configuration
Total input + output tokens
Cost per task: $0.05|Daily: $4.68|Monthly: $102.96
Results
Annual Human Cost
$234,000
40% of $585,000
Annual Agent Cost
$1,236
$102.96/month
Net Annual Savings
$232,764
Agents are cheaper
ROI
+19k%
Break-even: ~1 mo
Annual Cost Comparison
Human Workers(40% of role cost)
$234,000$234,000
AI Agents(Claude Sonnet 4)
$1,236Agents save $232,764 per year (99.5% reduction)
3-Year Projection
| Metric | Year 1 | Year 2 | Year 3 | Total |
|---|---|---|---|---|
| Human Cost | $234,000 | $234,000 | $234,000 | $702,000 |
| Agent Cost | $1,441 | $1,236 | $1,236 | $3,912 |
| Net Savings | $232,559 | $232,764 | $232,764 | $698,088 |
Year 1 agent cost includes a 2x monthly ramp-up/integration overhead. Human costs held constant (no raises modeled). Agent costs assume stable API pricing.
How it's calculated: Human cost = base salary x benefits multiplier x headcount x automation %. Agent cost = (tokens/task / 1M x blended token price) x tasks/day x working days x 12. ROI = (human savings - agent cost) / agent cost x 100. Break-even includes a 2-month ramp-up overhead. Token split assumed at 60% input / 40% output.
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Salary data based on US averages for the given roles. Model pricing sourced from public API documentation as of early 2025. Actual costs may vary based on region, seniority, negotiated API pricing, caching, and batch discounts.