Wave patterns in the sand of a dune

AI Applications · The Pattern

Recognise patterns.
Create value.

Seen from above, apparent chaos settles into a pattern. That is exactly what AI does in your data and processes – when it is used in the right place.

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The story

Not every idea is a use case.

The pressure to “do something with AI” is high – the benefit is often unclear. We help find the patterns where AI genuinely saves time, raises quality or enables new services. Then we build the solution so that it is secure, traceable and integrated into your systems.

When you need us

  • You see potential in AI but no clear starting point.
  • Recurring tasks in service, administration or documentation tie up too much capacity.
  • An AI pilot has run – the step into operation is missing.
  • You want to use AI without giving up control of your data and compliance.

What we offer

From potential to a running solution.

AI potential analysis

Workshops and process analysis: where does AI pay off, and where not? The result is a prioritised list with effort and benefit.

Process automation

Speed up routine tasks with AI and automation – with people as the final authority.

Custom AI solutions

Assistants, document processing, knowledge search or agents – developed for your use case.

Secure integration

Connection to existing systems with a focus on data protection, information security and the EU AI Act.

Approach

How we get there.

Find patterns

Review processes and data, assess use cases.

Build a prototype

Check quickly whether the benefit holds up in practice.

Integrate

Embed in systems, permissions and workflows – securely and documented.

Operate & improve

Measure quality and benefit in operation, develop models and processes further. On request, we support maintenance, monitoring and the continuous improvement of your AI application.

From our projects

Already delivered.

Selected projects by our teams – without client names for reasons of confidentiality. We are happy to discuss details in person.

AI Applications · Enterprise solution

AI harness with freely selectable language models

Goal
Use AI in the company without being tied to one provider – run locally or integrated into the Office environment.
Our role
Development of an AI harness that flexibly integrates language models from different providers and can be tailored to individual local and Office solutions.
Result
A toolkit for AI assistants in which the language model can be swapped – depending on data protection, cost and quality.
AI Applications · Contract management

AI-assisted contract review with source references and approval

Goal
Review contracts faster and consistently against the company’s own policies – with AI, without giving up control.
Our role
Built a local knowledge base containing the company policies, implemented AI-assisted contract review against internal policies and had improvement suggestions generated. Every statement backed by a source reference; quality gates introduced to assess the AI results and approval gates for business sign-off.
Result
Contract reviews with traceable sources and concrete improvement suggestions – the decision stays with people, safeguarded by quality and approval stages.
AI Applications · Corporate group

AI in the back office: a tool, not a replacement

Goal
Relieve back-office workflows with AI – as a tool for employees, not a replacement, with full control and demonstrable benefit.
Our role
Analysed and categorised customer processes in the back office and assessed them for automation potential; defined and implemented the concept for AI support; built a secure AI environment in line with the group’s security requirements; trained employees.
Result
Around 30 % less processing time – with AI support in everyday work and every AI activity under control.
AI Applications · Healthcare

AI-assisted app for personal health management

Goal
Give people a modern app with which they can keep track of their own health – supported by AI.
Our role
Development of the mobile app with AI features and integration of external data providers, such as map services like Google Maps.
Result
An app that prepares personal health data with AI support and adds location information.

All references

Insights

Law and practice, briefly explained.

Which deadlines of the EU AI Act apply after the 2026 omnibus, what companies should do now and when in-house AI is the better choice.

EU AI Act 2026: deadlines, obligations and local AI

Which AI use case pays off for you?

We assess your ideas for benefit, effort and risk – before you invest. The first conversation is free and non-binding.

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