AI ROI Calculator

Calculate ROI and payback period for an AI investment.

Quick answer

With the default inputs, 300.0% monthly ROI — $1,500.00 net/month · payback in 2.0 months. Enter your own numbers below to recompute instantly; the full step-by-step math is shown under the worked example.

Monthly value / savings($)

Monthly AI cost($)

Results update automatically as you type.

Result

300.0% monthly ROI

$1,500.00 net/month · payback in 2.0 months

Monthly value: $2,000.00
Monthly cost: $500.00
Net / month: $1,500.00
ROI: 300.0%
Payback: 2.0 mo

Calculate the return on investment for an AI project. Enter the monthly value it creates, its monthly running cost, and any one-time build cost to see net benefit, ROI percentage, and payback period.

How this is calculated

Monthly ROI = (monthly value − monthly cost) ÷ monthly cost, shown as a percentage. Net monthly benefit = monthly value − monthly cost. Payback period = one-time build cost ÷ net monthly benefit, i.e. how many months of net benefit it takes to earn back the upfront investment.

'Monthly value' should capture everything the AI delivers in dollars — labor hours saved at a loaded rate, revenue gained, or error/rework avoided. 'Monthly cost' is the fully-loaded run cost: API/model spend plus hosting, monitoring and any human review.

Is this a good result? What to do next

A positive ROI with a payback under ~12 months is generally a clear 'go'. Enterprise software is often expected to pay back within 6–18 months; anything beyond ~24 months deserves scrutiny because AI prices and requirements shift fast. A 100% monthly ROI simply means the value is double the cost that month — healthy, but sensitive to your value estimate.

Typical planning ranges

Strong payback period: < 6 months
Acceptable payback period: 6–18 months
Needs scrutiny: > 24 months

Ranges are typical planning figures to sanity-check your result, not authoritative benchmarks. Your numbers will vary with use case, volume, and vendor.

How to improve this number

Tighten the monthly value estimate — use measured hours saved, not aspirational ones.
Lower run cost with a cheaper model, caching or batching (see the cost calculators).
Reduce the one-time build cost by starting with a narrow pilot before scaling.

Common mistakes

Counting gross value instead of net (subtract the human review time AI still needs).
Omitting maintenance, monitoring and re-testing from monthly cost.
Using best-case adoption; model a conservative case and a likely case.

When to use a different approach

If your value is mostly labor saved on a repetitive task, the AI automation savings or AI adoption savings calculators derive that value for you instead of asking you to estimate it.