Automation that holds up in daily use
We build processes that keep running when something goes wrong – with clear states, clean handovers and operations you can actually follow.
Why automation so often fails to take hold
In our experience it rarely fails on the idea, and almost never on the model.
What usually goes wrong
- AI is treated as a standalone tool rather than part of the system landscape – it sits beside the daily work instead of inside it.
- The data is spread across email, spreadsheets and separate systems, which makes it impossible to connect in the first place.
- The use cases are too generic and match neither the operational reality nor the real priorities.
- Nobody owns the running system – after go-live it quietly falls out of use.
How we approach it
- We connect to the reality of your work: ERP, CRM, DMS, telephony, your own APIs.
- Scattered sources are joined, prepared and turned into a foundation you can rely on.
- Tailored to your roles, approvals and data situation instead of generic use cases.
- Monitoring, logs and clear ownership are part of the build, not something added later.
Three building blocks your automation is made of
You rarely need all three at once. We start where the bottleneck actually is.
Workflows with real error handling
End-to-end processes with clear states and defined failure paths – instead of automations that stall on the first exception.
Assistance and agents under control
AI classifies, prioritises and suggests. Approvals and responsibility stay with your people.
Interfaces and data models
CRM, ERP, DMS, M365, Google and your own APIs connected so the data does not just arrive, but fits together.
How a case moves through the system
The same flow whether it is an invoice, a service request or a tender – only the source changes.
- Intakemail · ERP · DMS · phone
- Readextract and classify
- Checkrules and plausibility
- Approveby your team
- Hand overto the target system
From the idea to a system that runs
Four steps, each leaving something usable behind.
Find the bottleneck
We look at the process and name where time is lost and where errors are created.
Agree the scope
One clearly bounded first module instead of a large programme – with a target picture and acceptance criteria.
Build for production
Implementation connected to your existing systems, including failure paths and approvals.
Operate it
Monitoring, clear ownership and further development – no system left orphaned after go-live.
What a first module looks like
Not everything at once, but one bounded flow that already carries its own weight.
Example: incoming invoices
Invoices arrive by email and on paper. Today someone reads them, assigns them to a case, checks them against the purchase order and books them.
What gets automated is the path up to booking: read the document, match supplier and order, check the line items against the order, flag anything that deviates. What is unambiguous passes through; what is not lands in a review list with the reason attached.
The booking itself is still triggered by a person. That is not an interim step waiting to be optimised away – it is the point where responsibility stays visible.
When automation is not worth it for you
- The process is undocumented and works differently in every department – automation would only make the ambiguity faster.
- The case comes up a handful of times a month. Then building it costs more than it will ever save.
- The data exists only on paper and is meant to stay there.
- There is nobody to own the system afterwards. We would rather tell you that before you buy.
Frequently asked
Where do we start – workshop, consulting or building?
It depends on how far along you are. If the process is clear and the bottleneck named, we build a first module straight away. If it is still open where the leverage sits, a workshop day is usually the cheapest way in.
Do we have to replace our existing systems?
No. We connect to what you already run. The whole point of integrating is to avoid creating yet another island.
How long until the first module runs in production?
For a clearly bounded flow, four weeks is a common frame – assuming access to the systems involved is in place. Larger plans get broken into modules like that.
Where is our data held?
In the EU. Which services are involved and what they process is put in writing before anything is built.
Tell us where it hurts
A short outline of the process is enough. You get an honest assessment of whether automation pays off here – and if not, why not.