Operations, not buzzwords
We build AI automation that holds up in daily use – with clear states, clean interfaces, monitoring and documentation.
How to tell whether someone means operations
Automation is not a project, it is operations. That has consequences for how you work.
What we often inherit
- Systems nobody has touched since go-live.
- Automations without failure paths that stall on the first exception.
- Connections only one person understands.
- Impressive demos with no link to the daily work.
How we work
- Failure paths are thought through up front, not added later.
- What the system does is inspectable – monitoring is part of the build.
- It gets documented, so that dependence on us ends rather than grows.
- Where automation is not worth it, we say so before quoting.
Three convictions you notice later
They sound unspectacular. That is exactly why the systems keep running.
Control is not distrust
Roles, approvals and clear ownership are what let AI help without taking on a life of its own.
Visibility makes systems calm
If you can see what a system does, you do not have to believe it. Monitoring is part of the build, not an extra.
Good systems do not hope
Failure paths are thought through up front, not added once the first exception appears.
What we deliberately do not do
It is easier to judge good work when you know what someone turns down.
No automation without a clear process
If the workflow is vague, AI only makes the vagueness faster.
No autonomy for its own sake
A system that decides a lot on its own is not automatically the more mature one.
No benefit without evidence
What cannot be measured, we do not sell as a success.
Where we come from
What shaped us explains why we insist on operations rather than demonstrations.
From our own need to a product
We do not only build for others. With Nemix we are developing our own AI-native ERP for the German Mittelstand – a project that raises exactly the questions our clients have: how do you connect data, how do you keep a system maintainable, who decides when in doubt.
That double role is the reason for the stance on this page. Anyone who runs systems themselves knows which shortcuts come back later.
We are based in Braunschweig and host in the EU. Neither is a marketing line; both are a precondition for the companies we work with.
What we deliberately do not do
- No automation without a clear process – if the workflow is vague, AI only makes the vagueness faster.
- No autonomy for its own sake. A system that decides a lot on its own is not automatically the more mature one.
- No benefit without evidence. What cannot be measured, we do not sell as a success.
- No dependence as a business model. Documentation and handover are part of the deal.
Frequently asked
How big is AiNemix?
Small enough that you talk to the people who also build. For larger undertakings we work with named partners.
Do you work with smaller companies?
Yes. What matters is not size but whether there is a recurring process where something can change.
What happens if we end the engagement?
You receive documentation, access and the source of what was built for you. Being handover-ready is part of how we build.
Why should we believe you would ever advise against something?
Because it is on these pages: every service has a section on when it is not worth it. That is the test.
Clarity over showmanship
If you are not looking for an AI show but for a system that still runs tomorrow morning, we are a good fit.