AI automation ROI calculator
Estimate annual savings, payback period, and first-year ROI for an AI document or workflow automation build. Everything runs in your browser.
AI automation ROI is volume times minutes saved times fully loaded hourly cost times the share you can actually automate, minus the cost of running the system. The two numbers people get wrong are the automation rate (60-85% is realistic in year one, not 95%) and the run cost, which never appears in vendor proposals but always appears in your budget. Adjust the inputs below to match your operation.
Your numbers
Results
- Gross monthly savings
- $19,320
- Net monthly savings
- $7,320
- Net annual savings
- $87,840
- Payback period
- 24.6 months
- First-year ROI
- -51%
- Staff hours reclaimed per year
- 5,040
Weak on labor savings alone. This needs a second justification — capacity, error reduction, or turnaround time that affects revenue.
How to sanity-check your inputs
- Minutes per item: time the task yourself on ten real cases. Self-reported estimates from the team are usually 30-40% low because they exclude the interruptions.
- Automation rate: measure on your real document or case mix, not a clean sample. Pilots on curated data overstate accuracy by 8-20 points.
- Build cost: if a quote comes in far below $80K for a production feature, check whether evaluation, integration, and audit logging are actually in scope.
- Run cost: inference is usually only 6-11% of it. Most of the line is continuous evaluation and the engineering that keeps accuracy from drifting.
The cheapest way to replace these estimates with measured numbers is a 4-week prototype sprint against your real data — it produces an accuracy baseline and an honest go/no-go before you commit build budget. See the 2026 enterprise AI adoption benchmark for what typically reaches production.
Frequently asked questions
- How do you calculate ROI on an AI automation project?
- Annual savings equals documents (or cases) processed per year multiplied by minutes saved per item, converted to hours, multiplied by the fully loaded hourly cost of the staff doing the work — then multiplied by the share of volume the system can actually automate. Payback is the build cost divided by monthly net savings, after subtracting run cost.
- What automation rate is realistic for document AI?
- For semi-structured documents with a human review queue for low-confidence output, 60-85% straight-through automation is realistic in year one. Systems promising 95%+ on day one are usually measured on curated samples rather than real production distribution.
- What should I use for fully loaded hourly cost?
- Roughly 1.3-1.4x the employee's base hourly rate, covering payroll taxes, benefits, equipment, and software. For a $70,000 salaried operations role that is about $45-$49 per hour, not $34.
- What is a good payback period for an AI automation build?
- Under 12 months is strong, 12-18 months is defensible, and beyond 24 months the project usually needs a strategic justification beyond labor savings — such as capacity constraints, error reduction, or turnaround time that affects revenue.
- Does this include the cost of running the system?
- Yes. The calculator subtracts a monthly run cost covering inference, hosting, and continuous evaluation. Every production AI system needs an operate-and-improve line item; typical ranges are $8,000-$30,000 per month depending on volume and accuracy requirements.
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