Under 6 months
Go ahead.
The case stands on hard savings alone. A bounded pilot confirms the assumptions in weeks, and everything after that is savings.
Free tool
Automation ROI calculator.
What the manual process is costing you, what you'd actually save by automating it, and how many months until it pays for itself. Adjust the numbers to your operation — the math updates instantly. No signup.
The process today
The starting values are a typical example. Replace them with yours. All amounts are in US dollars (USD).
Not take-home pay: include benefits and payroll burden.
%
Watch for double counting: if the hours above already include fixing these errors, lower the hours or set this to 0.
The automation
%
Almost no process is 100% automated: supervision and exceptions remain. 70–85% is a realistic range.
%
This is where most calculators cheat. Freeing hours isn't the same as no longer paying for them: only count what you actually stop spending (overtime, temp staff, a role you no longer backfill). The rest is freed capacity — valuable, but not cash.
No quote yet? Leave the estimate and adjust it later.
Platform, hosting, support, and maintenance. A common benchmark is 15–20% of build cost per year.
Your case, in defensible numbers
$2,504
USDNet hard savings per month
What a finance director would approve without argument
Errors avoided
16 errors avoided per month
$2,400
Hours you actually stop paying
48 hours freed per month
$504
Running cost
− $400
Freed capacity
$1,176
Real value, but not cash coming in
Pays for itself in
4.8 months
With capacity: 3.3 months
12-month return
150%
The case stands on its own.
Even counting hard savings only, the investment pays back quickly. This one survives finance scrutiny.
Want to validate these numbers against your real operation?
We map the process with you, measure the actual time and errors, and tell you honestly whether it's worth automating.
Evaluate my process →This calculator gives an estimate to frame the conversation, not a quote. The result is only as good as the inputs you measure.
How it's calculated
The formula, no black box.
This calculator uses the standard finance test for an investment, not the one that inflates the number. The difference is separating hard savings — money you genuinely stop spending — from freed capacity, and subtracting what the automation costs every month:
Hard savings = (hours you stop paying × loaded hourly cost) + (errors avoided × cost per error)
Net hard savings = hard savings − monthly running cost
Payback (months) = investment ÷ net hard savings
Three factors almost no calculator includes, and each one changes the answer:
- →The share that can actually be automated. No process hits 100%: exceptions and supervision remain. Calculating at 100% is the most common reason a project falls short of what was promised. 70–85% is honest.
- →Freeing hours isn't the same as not paying for them. If nobody comes off payroll, there's no cash saving — there's freed capacity. Only count what you genuinely stop spending: overtime, temp staff, a role you don't backfill. It's a finance director's first objection, which is why they're shown separately here.
- →Automation costs money every month. Licensing, hosting, support, and maintenance (a common benchmark is 15–20% of build cost per year). A payback that ignores that cost always looks better than it is.
One more caution the calculator flags: don't count twice. If the hours you entered already include fixing errors, don't also add the cost of those errors.
If you're still deciding whether your case calls for a no-code platform or a system of your own, we compared both in Make vs. n8n vs. Zapier and in what automating a process really costs.
How to read your result
What to do with the number.
6 to 24 months
Validate the assumptions.
Reasonable, but sensitive to your inputs. Measure the real hours and error rate before committing.
Over 24 months
That's not your first process.
There's almost always another one with higher frequency or a higher cost of error where the return is obvious. Start there.
FAQ
Frequently asked questions.
How do you calculate the ROI of automating a process?
Start with the monthly hard savings: the hours you actually stop paying for, at their loaded cost, plus the cost of the errors that stop happening. Subtract the automation's recurring cost (licensing and maintenance) to get net hard savings. The payback period is the investment divided by that net figure: if it returns 3, the automation pays for itself in three months.
Why don't saved hours count as money?
Because freeing hours is not the same as no longer paying for them. If nobody comes off payroll and no overtime disappears, the savings never reach cash: what you have is freed capacity. That capacity is genuinely valuable — those people can sell, serve customers, or improve other processes — but it isn't an accounting saving. Finance makes this distinction immediately, and it's why many automation projects stall despite looking good on paper. That's why this calculator shows them separately.
What share of freed hours becomes a real saving?
It depends on your situation, and it pays to be conservative. Count as hard savings only what you genuinely stop spending: overtime you no longer pay, temp staff you don't hire, a role you don't backfill. In operations with a fixed team and no overtime that share can be low or even zero — which doesn't mean automation isn't worth it, only that the case rests on avoided errors and capacity rather than payroll.
Why subtract a recurring cost?
Because automation isn't free once it's built: you pay for platform licensing, hosting, support, and maintenance. A common benchmark puts maintenance at 15–20% of build cost per year. A payback that ignores that cost always looks better than reality, and it's a frequent reason projects miss their projected return.
What hourly cost should I use?
The loaded cost, not take-home pay: include benefits, payroll taxes, and associated overhead. Using salary alone understates the true cost of the process significantly, typically by 25% to 40%.
Does a long payback mean I shouldn't automate?
It means that process isn't first in line. There's almost always another one with higher frequency or a higher cost of error where the return is obvious. The rule is to start where high frequency meets high cost of failure — not with the most visible process.
Do the numbers hold up?
We map the process with you, measure the real time and errors, and tell you honestly whether it's worth automating — and with what. Free consultation, no commitment.
Evaluate my process →