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Artificial Intelligence

AI that takes work off your hands instead of just sounding impressive

We automate recurring tasks with AI, exactly where your team loses time today. From a text suggestion in the editorial system to a workflow that runs entirely in the background.

What this is about

Most AI projects do not fail because of the technology, they fail on the choice of use case. A chatbot on the home page is quickly built and often achieves little. A task that someone does by hand every day almost always pays off.

Finding the right task

We look for activities that occur often, run the same way every time and follow fixed rules. That is where automation pays off first, not at the most visible use case.

Built into your systems

The automation runs where the work already happens: in the CMS, the shop, the CRM or the inbox. Nobody has to open an extra tool to use it.

The decision stays with people

AI does the groundwork, approval stays with the team. At Deutsches Handwerksblatt it suggests titles and descriptions, and nothing is published until the editorial team confirms it.

The best AI is the kind nobody has to trigger.

Situations that typically bring clients to us

  • The same texts, data or reports are produced by hand again and again.

  • A process depends on individual people and stalls when they are away.

  • AI tools are in use, but every department uses a different one.

  • Data from one system needs to be prepared and distributed regularly.

  • Content should be produced faster without quality suffering for it.

  • It is unclear which task is suited to AI in the first place.

  • None of this sounds like you?

    Then tell us what you are actually dealing with.

    Get in touch

What we actually do

AI inside your own system

We integrate AI where the work happens. For Deutsches Handwerksblatt it produces suggestions for titles, meta descriptions and subheadings directly in the publisher's own CMS.

Automated workflows

Data turns into processes: for RHEWUM, invoice data from the ERP automatically triggers surveys and email dispatch, with no manual steps.

Custom AI agents

Agents for recurring tasks, tailored to your content, your language and your rules, and shareable across the team.

Connection to your data

AI only becomes useful once it knows your context. We connect existing systems and documents in a controlled way.

Control instead of blind trust

We deliberately rely on suggestions that can be checked. That keeps the quality high and the responsibility unambiguous.

Rollout in the team

We support the rollout so the solution is actually used and does not fall by the wayside after two weeks.

How we work

  • 01

    Find the tasks

    Together we identify activities with high repetition and clear rules.

  • 02

    Start small

    One manageable use case first, so the benefit becomes visible early.

  • 03

    Integrate

    The solution moves to where people work every day instead of becoming yet another tool.

  • 04

    Refine

    We watch the results in everyday use and adjust rules, prompts and workflows.

That way AI takes on concrete work, not just a topic. Name one task from your daily routine and we will tell you whether it is worth starting there.

Let's connect ๐Ÿš€

Frequently asked questions

The best AI is the kind nobody has to trigger. We start by looking for the task someone does by hand every day.

What do you automate with AI?

Recurring steps that involve text, classification or routine decisions: producing descriptions and summaries, categorising and routing enquiries, preparing and distributing data, triggering reports. For Deutsches Handwerksblatt, SEO suggestions appear directly in the publisher's own CMS; for RHEWUM, invoice data from the ERP automatically triggers surveys and email dispatch. The best automation is the kind nobody has to trigger.

Does the team keep control?

Yes. We deliberately rely on suggestions that can be checked, everywhere the brand, customer contact or money is involved. At Deutsches Handwerksblatt the AI suggests titles and descriptions, and nothing is published until the editorial team confirms it. Only steps with clear rules and little potential for damage run fully automatically. That keeps responsibility unambiguous.

Do we need our own servers for this?

Not necessarily. For most use cases, services with processing inside the EU and contractual terms covering your data are enough. Running your own setup pays off when particularly sensitive data is involved, when large volumes accumulate or when internal policies require it. So the architecture follows data protection, volume and your existing systems, not a decision on principle.

How do we find the first use case?

We look where people copy, sort or retype today, and where a task occurs often and follows fixed rules. Deliberately not at the most visible case: a chatbot on the home page is quickly built and often achieves little, while a daily routine task almost always pays off. We start small so the benefit becomes visible early, and build on from there.

Which task costs you time every week?

Name one concrete process from your daily routine. We will tell you whether automating it is worth it.