The work is not hard. It is just never finished.
The same steps between the same systems, week after week. We build custom AI that takes that part out of the loop, so your team only sees the exceptions. It runs alongside your current systems, in your own cloud, and the code is yours after delivery.
What does the handwork cost?
That is roughly 3.2 working days a week back for your team. Calculated at €32 per hour all-in, 46 working weeks and 80% straight-through as a starting point. Your own numbers come out of the free feasibility study.
70-80%
Straight through at the start
2-4 wks
To go live
€778K
Saved per year at a market leader
100%
Yours, code and model
Talk to the solution architect.
No sales team. In 30 minutes we map the process and I tell you honestly whether automating it pays off at your volumes. If it does not, you hear exactly that.
Measured at these companies
Sound familiar?
The same steps, every single week
Copying data from one system into another, checking it, correcting it. Work that never gets finished because it comes back next week.
Your people are the integration layer
Whatever the systems do not pass along, someone bridges by hand. That is work below their level, and at four in the afternoon a digit slips in that should not be there.
Growth means hiring, not scaling
Twice the volume means twice the manual hours. The process does not scale, so headcount has to.
Curious what this looks like on your data?
Book a free 30-minute call with the solution architect who also builds the work. You walk through your processes together and get an honest answer on where the numbers are for you, and where they are not.
Free intro call
30 minutes, no obligation, directly with the builder.
How it works, without risk on your side
A 30-minute call with the builder
You speak to the person who builds the model. We map the process and the volume, and say honestly whether automating it pays off. If it does not, you hear that too.
Free feasibility study on your own process
We test on your real cases and report what share can run automatically and what that saves in euros and hours. Before you invest anything.
Built in 2-4 weeks, fixed price, yours
Model, review screen and the integration with your systems, at an agreed fixed price. We handle the build, the integration and the go-live; you do not have to run a project for it. It runs in your cloud and the code is yours.
Why not RPA or a standard tool?
| RPA robot | Standard tool | Custom AI | |
|---|---|---|---|
| When a screen changes | Breaks, needs rebuilding | Wait for the vendor | Keeps working, reads content |
| Exceptions | Falls back to manual | Outside the template | Review screen, model learns |
| Cost model | Licence per robot | Subscription per seat | Fixed build price, then yours |
| Where it runs | On someone's desktop | Vendor platform | Your own cloud |
Before you book
What does it cost?
The price follows from the free feasibility study and depends on how many steps the process has and which systems we integrate with. You get a fixed price upfront, no surprises afterwards. For comparison: one employee doing this work costs €45,000-55,000 per year.
Do we have to replace our ERP or CRM?
No. The AI layer sits next to your existing systems and works through the interfaces that already exist. Nothing gets migrated and your team keeps working in familiar screens.
Our process is full of exceptions. Does this still work?
Exceptions are exactly why off-the-shelf tools fall over. We build the model on your own cases and route uncertainty to a review screen, where someone approves it in seconds. You start around 70-80% straight-through and grow from there.
How is this different from an RPA tool?
RPA replays clicks and breaks the moment a screen, format or step changes. Custom AI understands content and works through data instead of mouse movements. No per-robot licences and no maintenance burden on every system update.
We already built something ourselves and it works. What do you add?
Good sign. Then the question is no longer whether it can be done, but whether you are getting everything out of it. That is where most of it stalls: Gartner expects 30% of AI projects to be dropped after the proof of concept, and MIT found that 95% of pilots deliver no result that shows up in the numbers. Rarely because the model does not work, usually because nobody owns the number. On top of that, what is possible shifts quickly, and keeping up with that does not fit alongside running an operation. We calculate up front on your own data what there is to gain, free, and then make sure it actually runs. On a forecast running on averages that came to €778,000 a year.
Who owns it afterwards?
You do. Code, model and documentation are yours and run in your own cloud. There is no mandatory subscription. Ongoing maintenance is available, but you are never locked in.
