Labor cost recovered each year after Year 1, net of retainer.
AI Agent ROI Calculator.
Calculate in seconds the financial benefit of replacing or augmenting human labor with an AI agent. Six inputs, four numbers, transparent math.
How is AI agent ROI calculated?
AI agent ROI compares the annual labor cost of the work an agent absorbs against the total cost of building and running that agent. theagency47's calculator uses a fully-loaded hourly cost (annual salary ÷ 2,080 working hours × 1.30 overhead factor), multiplies it by the hours an agent removes from human workload, and subtracts the one-time build fee plus twelve monthly retainer fees. The output is annual savings (€), payback period (months), 3-year ROI (%), and hours saved as full-time-equivalent (FTE). Methodology is disclosed below the tool, no black box.
theagency47 · Updated May 2026Tell us about the work.
All math runs locally in your browser. We never see these numbers until you ask us to send the PDF.
Here is the math.
A defensible floor based on direct labor cost only. Error reduction, faster cycle times and 24/7 coverage are not priced in, they make this estimate conservative.
Months for net savings to cover the one-time build fee.
Cumulative return on the full 3-year investment (build + retainers).
0.00 full-time-equivalent employees freed.
Year-by-year breakdown
| Year | Labor savings | Agent cost | Net result | Cumulative |
|---|
Get the detailed PDF report.
We will email you a one-page PDF with your numbers, our calculation methodology, error-reduction add-ons, and the three highest-ROI tasks in your industry. One email. No nurture spam.
Exactly how this calculator works.
No black box. The math is below in plain prose so you can audit the result against your own spreadsheet, or send it to your CFO.
Inputs
- Employees (E): Number of people currently doing the task. Fractional values accepted.
- Salary (S): Average gross annual salary per employee in EUR.
- Hours per week (H): Hours each employee spends on the task that an agent could handle.
- Automation rate (A): Share of that task time the agent absorbs. 70% is the default for well-scoped agents.
- Build fee (B): One-time implementation cost, picked from our four tiers.
- Retainer (R): Monthly maintenance fee, picked from four retainer plans or zero.
Derived values
- Loaded hourly cost = S × 1.30 ÷ 2,080. We assume 40 working hours × 52 weeks = 2,080 hours/year and a 1.30 overhead multiplier for taxes, benefits and tooling.
- Hours saved per year = E × H × 52 × (A ÷ 100).
- Labor savings per year = hours saved × loaded hourly cost.
- FTE equivalent = hours saved ÷ 2,080.
Output formulas
- Annual savings (steady state) = labor savings − (R × 12). Applies to Year 2 onward.
- Year-1 net savings = labor savings − B − (R × 12).
- Payback period (months) = B ÷ ((labor savings − R × 12) ÷ 12). Returns ">36 months" if retainer exceeds savings.
- 3-year ROI (%) = ((3 × labor savings) − B − (36 × R)) ÷ (B + 36 × R) × 100.
What the calculator does not include
Direct labor savings is the most defensible line item, so we expose only that. Real engagements often capture two to four additional value streams:
- Error reduction. Fewer manual mistakes mean less rework, fewer chargebacks, fewer escalations.
- Cycle-time compression. Hours of work delivered in minutes can unlock revenue (faster quoting, faster onboarding, faster support).
- 24/7 coverage. Agents do not have weekends. For inbound-driven workloads this is significant.
- Scaling without hiring. Variable-cost growth instead of step-function headcount.
The PDF report quantifies these for your industry and adds them to the floor estimate above.
When the ROI math does not work, and we will tell you.
AI agents are not a fit for every workflow. If your calculator output shows a payback over 18 months, one of three things is usually true:
- The task is too narrow. Two hours a week is rarely worth building a custom agent for. Pool related tasks or use an off-the-shelf SaaS.
- The task needs human judgment more than 50% of the time. The right answer is human-in-the-loop tooling, not full agent replacement.
- You picked the wrong tier. A €15K Workforce Pro for a €25K labor base will never pay back fast. Spark is the right scope for small wins.
On our free 30-minute discovery call we tell you which of these applies to your situation, including the case where the honest answer is "do not build an agent yet." Prefer to start in writing? Describe your agent and we'll send back the same honest read in a structured brief.
Questions about the math.
How is AI agent ROI calculated?
Annual labor cost saved minus annual agent cost, divided by total agent cost over the same period, expressed as a percentage. Loaded hourly cost is annual salary ÷ 2,080 × 1.30. Annual savings equals employees × hours/week × 52 × automation rate × loaded hourly cost. Year 1 subtracts the one-time build fee; steady-state years subtract only the twelve monthly retainer fees.
What is a realistic automation rate for an AI agent?
For well-scoped single-purpose agents (email triage, tier-1 customer support, document classification, lead enrichment) theagency47 typically delivers 60% to 85% task absorption after the 14-day eval cycle. Multi-step agents that touch unstructured human judgment land in the 40% to 60% band. We do not promise 100%; the remainder is human-in-the-loop review and edge cases, by design. Use 70% as a sensible default.
What is a good payback period for an AI agent?
Typical theagency47 engagements pay back the one-time build fee in 3 to 9 months in steady operation. Spark builds (€2,500) frequently recover in 1 to 3 months because the scope is tight. Workforce Pro builds (€15,000) take longer but the absolute savings are larger. If the calculator returns a payback over 18 months, the agent is probably scoped too narrowly, book a discovery call and we will say so honestly.
Why do you load salaries by 1.30 in the calculation?
Raw salary understates the true cost of an employee on a task. The 1.30 multiplier (fully-burdened cost) accounts for employer-side taxes, statutory contributions, benefits, paid leave, equipment, software seats and management overhead. Greek private sector is closer to 1.25; senior US tech roles can exceed 1.40. 1.30 is a defensible middle. Adjust your reading by ~5% if your loading is materially different.
Does the calculator include error reduction and quality gains?
No. The calculator quantifies only direct labor savings, the most defensible line item. Error reduction, faster cycle times, 24/7 coverage and revenue uplift from faster response are real but vary too much per engagement to model generically. They make the calculator output a conservative floor, not a ceiling. The PDF report covers methodology for adding these dimensions.
Is my data sent anywhere when I use the calculator?
No. All math runs locally in your browser via JavaScript. Your inputs do not leave the page unless you choose to request the PDF report, in which case the inputs and computed outputs are sent to our Formspree-hosted intake along with your email. We do not run any third-party analytics on the calculator inputs themselves.