The question companies always ask us is: "How much does automation cost?"
It's a fair question, and further down we explain what the cost of a project depends on. But there's another one to ask first: "How much does it cost you every month to keep not doing it?"
Because manual work never shows up as a big problem. It hides in dozens of daily micro-tasks that seem like "just five minutes" but that, multiplied across people, days, and months, become a structural cost that nobody measures.
Let's do the math
A company with 3 people in the administrative area who lose between 1 and 2 hours a day on repetitive tasks — data entry, checks, sorting, searching for documents, follow-ups — at a company cost of about €25/hour:
- 1 hour each: ~720 hours/year = ~€18,000
- 2 hours each: ~1,440 hours/year = ~€36,000
That's the value of those hours at company cost, not money leaving the till: it becomes a real saving only if the freed-up time reduces costs (overtime, outside contractors) or goes toward work that brings in revenue.
Not counting errors to fix, delays, emergencies created by backlogs, and management time spent unblocking trivial problems.
There's no budget line called "the cost of copy-paste." But that cost exists, and it's real: you can estimate it for your company with the recoverable time simulator.
It's not just time
When a process stays manual too long, you pay in four different ways:
Errors. Every manual step is a chance to get something wrong. A piece of data copied wrong, a forgotten document, an invoice assigned to the wrong cost center. The cost isn't just the correction — it's the time to notice and put things back in order.
Delays. A manual process depends on who's there, who remembers, who approves. Timing becomes variable and unpredictable.
Wasted people. Your best people end up doing data entry and follow-ups. They should be handling exceptions and improving service, not copying data between Excel and the management software.
A brake on growth. If customers and requests grow, a company with manual processes can react in only one way: add human workload. More people, more coordination, more fragility.
Why nobody notices
- "We've always done it this way." The manual process becomes normal. Bearable doesn't mean efficient.
- "It's not serious enough." The inefficiency doesn't stop the company, it slows it down. And that's exactly why it stays in place for years.
- "Automating means turning everything upside down." False. The most useful automations fit in with your existing software.
- "We haven't measured." As long as the problem is just a feeling, it gets put off. When it becomes a number, everything changes.
The real return on automation
It's not a complicated calculation. If you recover even just 80-100 hours a month on repetitive tasks, you get fewer errors, more speed, and a team free to work on things that matter. It also becomes a lower operating cost when those hours avoid overtime, outside work, or one extra hire.
Automation stops being an IT expense and becomes a management lever. To see how others have automated similar tasks, explore the demo catalog.
And how much does the service cost?
We don't publish a price list, because every process is different. But we can tell you how the cost is built, so you know what to compare:
- Project setup, one time only: process analysis, building the connections with your software, testing with the team, and going live. After the first call we send you a fixed-rate quote for this part.
- Running costs of the services, recurring if needed: licenses or subscriptions for the software to be connected, the service the automation runs on, and the usage of artificial intelligence services, which grows with the documents or messages handled.
- Support: fixes, updates when software or rules change, new cases to handle. How it's managed is agreed before the start.
What pushes the quote up or down is mostly: how many programs need to be connected and whether they allow reading and writing data, how many special cases there are, how many documents or messages arrive each month, which checks stay with people, and whether the data needs to be put in order first.
The honest comparison is between these costs and the hours the process takes up today. That's why it makes sense to start with a process you can measure: you'll find more answers in the frequently asked questions.
The question to ask yourself today
It's not "is it worth automating?"
It's: "How much is it already costing us not to have done it yet?"