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AI in production: turning confirmation data into tools

In production, the data is usually already there: confirmations, machine times, scrap postings. What is missing is the hour on Monday morning when someone pulls it together. With Onagero, your production team builds a tool of its own that takes over that hour.

  • Runs on your server
  • Your ERP stays
  • GDPR ready
  • First result in weeks

In short

Onagero connects the data your production already generates (BDE shop-floor data capture, MES, ERP confirmations, inspection records), and your production team builds internal tools from it: a scrap analysis, a machine time evaluation, a shift report. It runs on your server, has read-only access and controls no machine.

What matters

Confirmations are rarely clean

Postings are entered late, shifts are assigned wrongly, downtime is acknowledged without a reason. A tool that hides these gaps produces good-looking charts with false conclusions. Onagero shows missing and late postings as a figure of their own instead of quietly smoothing them out.

Definitions belong to production

What counts as scrap, whether start-up parts are included, when a shift begins: your production management decides that, not a model. These definitions are written down in the tool and visible to everyone.

Read yes, control no

Onagero reads from your systems. It writes no confirmations, changes no orders and does not intervene in any machine control. Safety-relevant decisions stay with people.

The shift has to use it

A tool that only the plant manager opens saves the shift nothing. That is why we also measure in the pilot who actually uses it.

Typical mistakes

  • Starting with a dashboard for everything instead of a question that is asked every week.
  • Wanting to “clean up” the machine data before anything is built. Experience shows this takes longer than the benefit can wait.
  • Adopting terms such as scrap rate or availability without defining them in writing together with production.
  • Informing the works council only once the tool is finished, even though it shows shift data.
Two colleagues walk through a process on paper on the shop floor.

Start with one problem.
Keep the capability.

No AI transformation. One real process, solved on your data in a few weeks. Your team solves the next one itself.

Questions about AI in Production

Does Onagero need an MES?

No. It is enough if confirmations arrive digitally somewhere: in the ERP, in a BDE database or as a regular export. An MES usually makes the data more granular but is not a prerequisite.

Does Onagero access machine controllers?

No. Onagero reads from databases and files that your IT releases. It does not connect to PLCs or control stations and controls no machine.

Can shift supervisors change the tool themselves?

You can describe changes in your own words. They are implemented and checked through the operations service, so that a tool many people use does not calculate differently overnight.

What if our data has gaps?

Then the tool shows the gap. The pilot decides, using real data, whether the data situation is sufficient for the question. If it is not, you will know before the contract for ongoing operation.

Does this need to be agreed with the works council?

As soon as a tool shows data that allows conclusions about the performance or behavior of individual employees, generally yes. That is why we disclose the data path before the start. More in the article on co-determination.

How quickly is a first tool in place?

The planned working window of a pilot is four weeks, counted from the day access and releases are in place. That is an offer condition, not a measured average time.

Which problem would
your team solve first?

Show us a real process. We will show you how it could look with Onagero.

Book a demo →

Check first whether a pilot fits: fit check in 2 minutes →