Automation ROI calculator

The work today

Everyone who spends time on it, not just one team.

Time on this task alone.

Salary plus employer costs.

What the project would cost

Be pessimistic. Usually under 50 %.

Build, integration and rollout together.

Licences, hosting, maintenance.

Hours freed per year

1,175

Value, net of running cost

$58,500

Pays for itself in

12.3 months

Hours freed
10 people × 5 h × 47 weeks × 50 % = 1,175 h
Value of those hours
1,175 h × $60 = $70,500
Year one, everything deducted
$70,500 − $12,000 − $60,000 = -$1,500

This is an estimate, not a forecast and not a promise. It is your assumptions multiplied together, shown step by step so you can argue with each one. The number that is wrong is almost always the automatable share: measure it on a sample of real cases before you trust any of this.

This tool multiplies six numbers you supply and shows every step, which is the whole of what it does. It does not know your industry, it holds no benchmark, and it contains one constant: a working year of 47 weeks, being 52 less five for leave and public holidays. Using 52 would inflate every result by about a tenth, which is why the figure is stated here rather than buried in the code. The output is not a forecast and not a promise. It is the consequence of your own assumptions, laid out so that you can argue with each one separately instead of arguing with a total. If the result surprises you, the input to re-examine is almost never the hourly cost. It is the share of the work you believe can be automated, which is the number people are most confident about and most often wrong about.

How to get the automatable share right

Every other input on this page is either known or knowable. The number of people is a fact. The hourly cost is in a payroll system. The project cost is a quote. The automatable share is a judgement, it dominates the result, and it is routinely overestimated by a factor of two.

The reason is a specific and understandable error. When people picture the task, they picture the standard case, because that is what comes to mind. The standard case usually is automatable. What consumes the time is the exceptions, and exceptions are exactly what does not come to mind when you are asked to estimate.

The fix takes about an hour and is worth more than any refinement to this model. Take twenty real cases from last month, at random rather than chosen. For each one, decide whether the system would have handled it end to end with no person checking the output. Count. That fraction is your automatable share, and it is usually somewhere between a fifth and a half where the first guess was three quarters.

What this calculator deliberately leaves out

Adoption risk. The largest omission. A system that works correctly and goes unused returns nothing while continuing to cost the recurring fee. The calculator cannot see that risk, which means the result should be read as the ceiling of what is available if adoption succeeds rather than as an expected value.

The freed hours not converting to money. Freeing 1,200 hours across ten people does not reduce a payroll. It gives ten people about two and a half hours a week back, and whether that becomes value depends entirely on what they do with it. Organisations that have decided in advance what the freed time is for realise the value. Organisations that have not tend to find, a year later, that the time was absorbed.

Quality changes in either direction. Automation sometimes improves outcomes in ways worth more than the time saved, and sometimes degrades them in ways that cost more. Both effects are real and neither is estimable in advance without measuring, so putting a number on them here would be inventing one.

Second-year economics. The model shows year one. From year two the project cost is gone and only the recurring cost remains, so a project that looks marginal in year one is often clearly worthwhile across three. The payback figure captures this, but the first-year total does not, and reading only the total understates most real projects.

Reading the result honestly

A payback under twelve months means the project is defensible on cost alone, and the decision moves to whether it can actually be delivered. A payback between one and three years means the project has to be justified on something other than the arithmetic, which is legitimate: quality, risk reduction, or a capability the organisation wants to build. A payback that never arrives means the recurring cost exceeds the value, and no amount of execution fixes that.

The case worth pausing on is a payback of about five months on a first project. That result is usually produced by an automatable share that has not been measured. Measuring it, using the twenty-case method above, is a better use of an hour than any further work on the model.

What we use this for

We put this on the site because it is the first conversation we have with most companies, and because it is short enough to have honestly. A great many automation projects are worth doing and a meaningful minority are not, and the second group is easier to identify before the build than after it.

If the arithmetic here says a project is not worth it, that is a useful answer and we would rather you had it from a calculator than from us after six weeks. If it says the opposite, the next question is not how much it is worth but whether it can be delivered inside your organisation, which is a different question and the one our work is actually about.

Questions people actually ask

Why only six inputs? Other calculators ask for twenty.

Because uncertainty multiplies. A model with twenty inputs produces a number that looks more precise and is less reliable, since each additional assumption widens the range without anybody noticing. Six inputs are things you either know or can estimate honestly, and the arithmetic between them is visible on the page.

Which input is most likely to be wrong?

The automatable share, by a wide margin, and it is the one people are most confident about. The reliable way to fix it is to take twenty real cases from last month and work out how many the system would have handled end to end, without a person checking. That number is usually well under half of the first guess.

Why 47 working weeks rather than 52?

Because a person does not work 52 weeks. Five weeks of leave and public holidays is a reasonable average across most markets, and using 52 inflates every result by about a tenth. The constant is stated here rather than buried, so you can disagree with it knowingly.

Does it account for the cost of people not adopting it?

No, and that is the largest thing it leaves out. A system that works and goes unused returns nothing while still costing the running fee, and the calculator cannot see that risk. Treat the result as the ceiling of what is available if adoption succeeds, not as an expected value.

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Sources

Radif Partners

Written and maintained by Radif Partners

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Covers 2026, · last reviewed 2026-09-24