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PUBLIKUMmedia
Digitalisation

Digital doesn't mean
it is online

Most companies that approach us about a website have a different problem: product data exists in three places, quotes are assembled by hand, and what the website says stopped being true months ago. A new site does not fix that. So we start where the work actually accumulates.

How you can measure us
  • 01The benefit can be calculated up front: hours per month, not buzzwords
  • 02A certified AI manager (MMAI®) on the team
  • 03Local models where data is not allowed to leave the building
  • 04Data processing agreements under Art. 28 GDPR as standard
What we do about it

In detail

Data in one place

Product data from the ERP or merchandise system into website, shop and catalogue: maintained once instead of typed up three times.

Automating workflows

n8n workflows, API and webhook integrations between systems that don't currently talk to each other. Pre-sorting enquiries, preparing quotes, extracting data from documents.

AI on your own network

Local language models on your own hardware or on a server inside the EU, where contracts, client data or costings are involved.

Operation and monitoring

Automations need maintenance, or they eventually run quietly into nothing. Monitoring and further development are part of the deal.

Where we are

Where we start

Not with a strategy, but with the one task that eats the most time and needs the least judgement. Usually that is data upkeep: getting articles from the merchandise system into the shop and the catalogue, keeping prices current, naming and assigning images. Once that runs and the time saved is visible, the next task follows. That is how digitalisation stays in the business, instead of a project that falls asleep after sign-off.

2020
founded
3
people
35+
websites live
NeuroWeb Award
From practice

Relevant cases

All work
Frequently asked questions

Digitalisation

Where do you begin?

With one task, not with a strategy. We look for the job that eats the most time and needs the least judgement, and automate that first. The benefit is then measurable within a few weeks.

Does our data have to go into the cloud?

No. We set up local models on your own hardware or on a server inside the EU where data protection or confidentiality require it. That takes more effort, but it is doable.

What happens if an automation fails?

That is why monitoring is part of it. If a workflow fails, the system reports it instead of quietly doing nothing. For day-to-day operation there is the monthly retainer.

We already have an ERP. Isn't that enough?

An ERP holds data but rarely distributes it to where customers see it. Exactly that stretch is usually the gap: from the system to the website, to the catalogue, into the quote.

Isn't this a job for IT?

Partly. The difference: we come at it from the presentation side. We care not only that data arrives, but how it looks when it does: in the shop, in the catalogue, in the quote.

Does AI replace staff in the process?

In our projects so far, no. It takes over repetitive work nobody was hired for in the first place. Concept, decision and accountability stay with people. That is a position, not caution.

Does that sound like
your project?

A first conversation takes half an hour and costs nothing. If you would rather have the existing site checked first, the website audit is the smaller way in.