How to Calculate the ROI of Business Automation (With Real Numbers)

Most automation ROI calculations are either sales fiction or so conservative they kill good projects before they start. Here's the framework we actually use in audits. It's simple enough to run on a napkin, but honest enough to survive a conversation with your accountant.

The core formula

Automation ROI has three inputs, and only three:

1. Hours of repetitive work per week the process currently consumes.
2. Fully-loaded hourly cost of the people doing it (salary plus taxes plus overhead, usually about 1.3 to 1.5 times gross pay).
3. Automation share, meaning the fraction of that work a system can realistically take over.

Monthly savings = hours × 4.33 weeks × automation share × hourly cost.

A concrete example: your operations team spends 20 hours a week moving data between your CRM, spreadsheets and invoicing tool. Fully-loaded cost is €38/hour. A well-built automation absorbs about 70% of that work:

20 × 4.33 × 0.7 × €38 ≈ €2,300 per month, or roughly €27,600 per year.

If that automation costs €6,000 to build and €150 a month to run, it pays for itself in under three months. That's the whole calculation. No "digital transformation synergy" required.

Why 70%, not 100%

Vendors love to imply full replacement. In production, the honest number for well-chosen processes is 60–80%. The remaining slice is exceptions: the weird invoice, the customer who emails a photo of a handwritten order, the edge case nobody documented. Good systems route those to a human quickly instead of pretending they don't exist.

If someone quotes you 95%+ automation on a messy human process, they haven't built many of these.

The savings people forget to count

Hours are the visible number. Three others usually matter as much:

• Speed revenue. If leads get answered in 2 minutes instead of 2 days, conversion goes up. In one of our real-estate projects, faster follow-up added 28% more booked viewings, which was worth far more than the hours saved.
• Error cost. Manual data entry runs a 1–4% error rate. Each error costs correction time, and sometimes a customer.
• Opportunity cost of your best people. When a senior person stops assembling reports, they don't stop working. They finally do the work you actually hired them for.

The costs people forget to count

Honesty cuts both ways. A real calculation includes:

• Maintenance. APIs change, edge cases appear. Budget 5–10% of build cost per month for monitoring and fixes.
• Model/API usage. For AI-heavy workflows, €30–€300/month depending on volume.
• Change management. A week or two of reduced productivity while the team adjusts. Real, but temporary.

Run the numbers before anyone pitches you

The order matters: calculate first, evaluate vendors second. When you know a process wastes €2,300/month, you can judge any proposal against a hard number instead of a vibe.

If you want this done properly, with your processes and your real numbers, that's exactly what our free automation audit is for. We map the workflows, rank them by payback, and hand you the math whether or not you end up building with us. You can also get a rough instant estimate with the ROI calculator on our homepage.