What does AI automation cost — and what does it return

Ask three agencies what AI automation costs and you get three figures tens of thousands of euros apart. Not because one is better than the others, but because "an automation" can mean almost anything.

This article does two things. It gives you honest market prices so you can judge a quote. And it shows why the payback period in euros is not the whole story — some of the most important returns appear on no invoice.

What it costs: three items

An honest quote splits the cost into three. Anyone lumping it into one is hiding something. Quotes for a first, well-scoped process — invoice processing or email triage — vary widely in the Dutch market. Roughly, the figures look like this:

Where you land in that band depends mainly on the number of integrations and the complexity of the decisions. A simple process with few connections sits at the low end; more integrations with your existing systems and stricter control and logging requirements push towards the high end. These figures recur across several Dutch providers and independent market overviews (2026).

The platform itself is a rounding error next to that. If the automation runs on a self-hosted open-source tool, the server and AI usage cost together often come to €15 to €80 per month — no cost per task, no price that explodes as you grow. The big cost is never the software; it is the thinking to set your process up properly.

Den Otter Solutions works at a fixed price per process: clear scope, no hourly billing, no open-ended engagement. You know up front what it costs and what you get.

What it returns: a worked example

Take invoice processing. Processing one invoice manually costs on average €12 to €15 once you count the whole process; automated, that drops to €2 to €3 (APQC benchmark, 2024). For a company handling 300 invoices a month:

On paper that pays back in a few months. In practice that is too optimistic. Use the conservative end, count the internal time, and a realistic payback for a first process is more like six months to two years — depending on volume and how messy your process is now. That is still more than enough to justify the investment. But these are not miracle numbers, and anyone promising them is selling you an expectation that will not hold.

At low volume, with a process that changes every month, or with many exceptions, the sum can come out negative. An honest adviser says so up front, rather than building what does not pay.

ROI is not only money

And yet companies sometimes build an automation that barely breaks even in euros — and they are right to. Because the sum in the previous block misses half. The returns that do not appear on the invoice often weigh just as heavily in a complete assessment. Five that genuinely matter:

• Reliability. An automated process does not make the same mistake at four in the afternoon as at nine in the morning. Fewer errors means less rework, fewer duplicate payments, less friction with suppliers — costs you rarely add up but that are real.
• Lead time. An invoice processed the same day instead of a week later is a supplier paid on time and a customer answered faster. Speed is a relationship investment, not a line on the budget.
• Job satisfaction and retention. Nobody comes to work in the morning to retype invoices. Removing repetitive work keeps people engaged — and in a tight labour market, an employee who stays is worth more than the hours you save.
• Traceability and compliance. An automated process logs every step. You see who did what when, you are audit-ready, and you meet GDPR and tax requirements more easily. That peace of mind has a value you notice only when the tax office calls.
• Scalability. Handling double the volume without double the staff. Absorbing a peak without overtime. Growing without your admin becoming the brake. That is capacity you do not buy but free up.

These returns are harder to quantify, but that does not make them less real. A complete business case names them — even where no exact figure is attached.

How you measure it

What you can capture in numbers, you should measure. Set a baseline before the build: how much time the process costs now, how many errors, how long the lead time. After delivery you see those same numbers in your dashboard — not as a feeling, but as evidence.

For the non-financial returns a different rule applies: name what you cannot add up. "Our team spends less time on friction" is not a euro figure, but it is a result. Measure what is measurable, and be honest about the rest — that is more credible than forcing everything into a strained return percentage.

Den Otter Solutions delivers this work remotely for clients in the Netherlands and abroad, at a fixed price per process, and works out up front what a first step realistically returns.

The bottom line

AI automation for a first process costs roughly €2,500 to €9,000 to build in the market, plus a management fee — and pays back, conservatively, in months to a couple of years. But the financial payback is not the whole ROI. Reliability, lead time, job satisfaction, compliance and scalability count too, price tag or not.

Process first, tool second, and AI only where it adds something. And calculate honestly: sometimes the best decision is not to automate — and sometimes to do it, for a reason that is not in euros.