AI Agent ROI Calculator
Enter your task volume, human time per task, loaded labor cost and the agent’s build, run, maintenance and failure costs to see annual ROI, payback in months and a plain verdict on whether the case holds up.
Payback under 12 months: strong for this class of investment.
| Line | Per year | Basis |
|---|---|---|
| Labor displacement (benefit) | $383,040 | 67,200 agent tasks × 9 min × $38/hr |
| Build amortization | −$30,000 | $60,000 ÷ 2 years |
| Run cost | −$26,880 | $0 per task × 67,200 agent tasks a year |
| Maintenance | −$12,000 | 20% of build per year |
| Failure cost | −$116,256 | 3% errors × $45 each, plus $25,536 human review |
| Net annual benefit | $197,904 | Benefit minus the four cost terms |
Steady-state estimate only. Real projects ramp through a pilot first, so measured payback usually lands later than this figure.
How the formula works
The calculator uses the formula from our AI agent ROI guide. Annual benefit is labor displacement: tasks per month × 12 × adoption × minutes per task ÷ 60 × fully loaded hourly cost.
Annual cost is the sum of four terms: build cost ÷ amortization years; run cost (agent cost per task × tasks × adoption × 12); maintenance (a percentage of build per year); and failure cost (error rate × agent-handled volume × cost per error, plus the cost of human review of agent output).
ROI is benefit minus cost, divided by cost. Payback is the build cost divided by the monthly benefit minus monthly run, maintenance and failure cost (the build itself is not subtracted again). If that monthly figure is zero or below, the agent does not pay back.
Throughput and quality gains are left out on purpose: count them only when you can trace them in your own data. See what the build side costs in our AI agent development cost guide.
AI agent ROI FAQ
What is a good payback period for an AI agent?
Under twelve months is strong for this class of investment. Twelve to twenty-four months is defensible if the maintenance line is honest and the benefit terms are measured. Beyond twenty-four months, treat it as a strategic bet, not an ROI case.
Why does the calculator include failure cost?
Because agents are sometimes wrong in production. Failure cost is the production error rate times volume times the cost per error, plus the human review that keeps the error rate there. Leaving it out is the most common way AI agent business cases overstate ROI.
Why amortize the build over only two or three years?
AI systems age faster than line-of-business software: models deprecate and harnesses get rebuilt. A two-to-three-year life matches the observed replacement cycle, while five years flatters year one.
Is the payback figure what I will see in practice?
It is a steady-state figure. Production agents ramp through a pilot and staged rollout first, while run and failure costs start on day one, so real payback usually lands a few months later. Use your own pilot measurements for every input.
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