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We make AI work.

We make sure AI arrives in the everyday work of your teams in marketing, sales and customer operations, and that it runs reliably there. We stay with you from the first strategy to day-to-day operations.

30+ AI projects with mid-sized companies
2010 year founded, projects across the DACH region
60 specialists in Karlsruhe and Barcelona
View references →
AI Operations Self-Check

How much potential does AI Operations have for you?

5 questions | 5 minutes | ballpark in euros

Prefer an overview first? Go to the cross-role check →
What is AI Operations?

So that AI works reliably day to day

AI Operations describes how a company runs AI permanently and effectively. Think of a new machine on the production floor. It only pays off once someone sets it up, trains the people, plans the maintenance and decides who steps in when it breaks down. AI is similar. Access to ChatGPT or Claude is set up quickly. To turn that into dependable work, you need fixed processes and someone who checks and improves the results regularly.

→ Definition and concept of AI Operations
AI Operations · Definition

AI Operations is the efficient, durable operation of structures and processes that are supported or carried out by AI. This happens in a deliberately designed, hybrid organisation of people and machines.

The problem

Many AI projects never get past the pilot

The start often looks similar: a workshop, a few licences and a team that sets off with curiosity. Three months later, hardly anyone asks whether the tools are used day to day, and the time savings everyone hoped for show up in no report.

The cause is rarely the technology. Usually nobody has decided which process the AI belongs to and who looks after it.

→ Why so many AI projects get stuck as pilots
88%
of companies use AI in at least one business function.
McKinsey, Global AI Survey, 2025
95%
of AI pilot projects show no measurable effect on the P&L.
MIT NANDA, The State of AI in Business, 2025
60%
of companies see no material value despite investing in AI.
BCG, The Widening AI Value Gap, 2025
Our mission

“We guide digital superpowers with human reasoning to turn strategy into impact.”

Free | 5 minutes

What AI could bring you, estimated in euros

The AI Operations Self-Check estimates how much you could save with AI and how much additional revenue it could bring. The result puts a cautiously calculated range on it, and we show how it comes about.

  • Based on studies by McKinsey, BCG and Gartner.
  • Checked against more than 30 of our own projects with mid-sized companies in the DACH region.
  • A confidence score shows how reliable the estimate is.
  • Methodology and sources are fully disclosed.
→ Start the Self-Check
Free & up to date

Claude Cheat Sheet

An overview of Claude's features and models, with tips from our daily work. It is available in German and English, and we keep it up to date.

Open the cheat sheet
Who is behind it

One team in Karlsruhe and Barcelona

Team and locations →

netzstrategen has existed since 2010. Today, around 60 specialists in strategy, content, search, data, design and development work with us. Strategy and consulting are based in Karlsruhe, in the Kreativpark Alter Schlachthof. The technology for our platform is built in Barcelona.

How to get in touch

The quickest way is the Self-Check: in five minutes you have a first estimate. You can also write to us directly via the form or by e-mail. The first conversation is free.

Newsletter

Digital Impact in your inbox

With one sign-up you get three newsletters: the AI Insights Newsletter with our new articles every week, plus the Digital Impact Longread and the Digital Impact Update once a month. Sign-up uses double opt-in, and you can unsubscribe at any time.

Podcast

AI Operations as a podcast

In the Digital Impact Podcast, André Hellmann, Christina D'Ilio, Christian Sattel and Sarah Stock talk with guests from practice about AI Operations. The episodes are easy to listen to on the go.