How to calculate the real ROI of an automation project

There’s a conversation that comes up again and again when a company is deciding whether to automate a process. The technical proposal is on the table, the scope is defined and so is the budget. And then someone asks: “when do we get this back?”

It’s the right question. And, strange as it may seem, it rarely has an answer ready.

Not because it’s hard to work out, but because nobody took the time to do it before walking into that meeting. The project was justified with qualitative arguments (“it’ll save us loads of time”, “we’ll make fewer mistakes”) without turning them into actual numbers. And when someone asks for the numbers, the conversation stalls.

Why automation ROI is almost always miscalculated

There are 2 common mistakes, and they pull in opposite directions.

The first is underestimating the value. You count the time the automation saves but ignore the errors it eliminates, the faster decisions it enables and the operational capacity it frees up for other work. The result is an ROI that looks modest and a project that’s hard to justify.

The second is overestimating the savings. You count the hours saved “on paper” without considering that those hours don’t vanish from your payroll if the person who spent them is still on staff doing other things. Or you assume the automation will work perfectly from day one, without allowing for a bedding-in period and early adjustments.

Neither mistake leads to good decisions. The first kills projects that make sense. The second approves projects with expectations that won’t be met.

The right framework for calculating ROI

Step 1: put a number on what the process costs today

Start with the problem you want to solve. How much time does the team spend on this process right now? How often? How many people are involved?

Multiply that time by the real labor cost of the people doing it. Not gross salary, but the total cost to the company, which in Spain is typically 25% to 35% above gross salary once employer social security contributions are added. If someone spends 10 hours a week on a process and costs the company 25 euros an hour, that process costs 250 euros a week: over 12,000 euros a year.

Then add the cost of errors. How often do they happen in this process? How long does it take to spot and fix them? Do they affect customers? If they lead to complaints, returns or extra support time, that cost goes in here too.

Step 2: estimate the value of what gets freed up

Once the process is automated, the time that used to go into it becomes available. The question is: what will the team do with that time?

If the answer is “higher-value work” (more attention to customers, more time for strategic projects, more capacity to grow without hiring), that time is worth more than the direct saving in hours. If the answer is simply that the team will be under less pressure, the value is real but harder to quantify, and it’s best not to inflate it.

Either way, freed-up time has value. The point is to be honest about how much.

Step 3: work out the total cost of the automation project

The project cost isn’t just the development budget. It also includes the internal time your team will spend during rollout (meetings, sign-offs, testing, training) and the annual maintenance cost once it’s delivered.

A well-built automation has low maintenance costs, but not zero. You need to allow for updates when external systems change, support when something goes wrong and the improvements people almost always ask for once the team sees what’s possible.

Step 4: calculate the payback period

With those numbers in hand, the calculation is straightforward:

Payback period = total project cost ÷ net monthly saving

The net monthly saving is the difference between what the process costs now and what it will cost once automated, maintenance included.

If an automation project costs 8,000 euros and delivers a net saving of 1,200 euros a month after maintenance, the payback period is about 7 months. From month 8 onwards, the project generates net value every month.

If you’d rather express it as a percentage, the ROI for a given period (say, the first year) is: (net saving for the period − total project cost) ÷ total project cost × 100. An ROI of 0% means you’ve only got your investment back; anything above that is return.

A worked example with real numbers

Take a services company with 45 employees that produces tailored monthly reports for its clients. The process ties up 2 people for 4 full days a month: 8 working days, at a labor cost of around 280 euros per day. Monthly total: 2,240 euros. Yearly: almost 27,000 euros.

The automation project (connecting to their CRM, pulling data automatically and generating one report per client) costs 11,500 euros in development and is delivered in 6 weeks. On top of that come around 20 hours of the team’s internal time in meetings, sign-offs and testing, roughly 700 euros more. Total project cost: 12,200 euros. Agreed annual maintenance: 1,200 euros.

The net monthly saving, after maintenance, is around 2,140 euros. Payback period: just under 6 months. In the first full year, the net return is around 13,500 euros, an ROI of roughly 110%.

One important caveat: this assumes those 8 days are then spent on useful work, such as serving more clients or cutting overtime. If not, the real saving is smaller, and that needs saying out loud.

Numbers like these, presented before the decision is made, turn a conversation about spending into a conversation about investment. And those are very different conversations.

When the ROI doesn’t justify the project

Not every automation project has a positive ROI over a reasonable time frame. Sometimes the process is too irregular or complex and the development cost is never recovered in a useful time frame. Other times the saving is real but small, and the rollout effort isn’t worth it compared with other priorities.

A good technical provider tells you when a project doesn’t make economic sense before quoting for it, not after invoicing it. That honesty is part of the job, not an exception.

Checklist: before approving any automation project

• Has the current cost of the process been quantified in time and real labor cost?
• Have errors and their cost been included in the calculation?
• Is it clear what the team will do with the time that’s freed up?
• Does the project cost include internal time, not just the development budget?
• Has annual maintenance been factored in?
• Is the calculated payback period acceptable for the company?
• Has anyone said “this doesn’t make sense”, and did anyone listen?

Frequently asked questions

What’s a reasonable payback period for an automation project?

It depends on the company, but as a guide: projects that pay back in under 12 months are hard to turn down if the numbers are sound. Between 12 and 24 months, they need more context (expected growth, strategic impact, alternatives) to be justified. Beyond 24 months, there needs to be a reason beyond direct savings for them to make sense as an investment.

How do we work out the cost of errors if we have no historical data?

If there’s no data, you estimate. Ask the team how often errors happen in the process and how long they take to fix on average. Multiply by the relevant labor cost. If errors affect customers, add a conservative estimate of what those incidents cost. The estimate won’t be perfect, but it’ll be far better than ignoring that cost altogether.

What happens if the process changes after it’s automated?

It’s one of the real risks of any automation. The way to manage it is to build in flexibility from the start (well-documented code, an architecture that allows changes without rewriting everything) and to agree up front which changes maintenance covers and which need a separate budget. A process that will change often may need a different solution from a stable one. We cover what happens when that documentation is missing in the hidden cost of poorly documented automations.

You might also like:

• What a company gains when its systems stop working in silos
• How to automate your ERP reporting without changing systems
• From chaotic spreadsheets to a real-time dashboard: a transformation case

At Baqueiro we calculate the ROI before quoting for any automation project, because an investment that can’t be justified with numbers shouldn’t be made. If you have a process on the table and want to know whether it’s worth automating, tell us about it and we’ll run the numbers together.