Services

From AI orientation to implementation.

I support companies exactly where AI projects become concrete: with workshops for clarity, consulting for sound decisions and implementation support for controlled pilots.

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Offerings

The right starting point depends on your maturity.

Some teams first need orientation. Others already have use cases and need architecture, sparring or implementation depth. The services are therefore deliberately modular.

Sovereign AI

A private AI workplace for your team

GDPR-compliant AI that belongs to your company: EU-hosted or on-premise, without US cloud lock-in and with a first automated workflow.

Suited to mid-sized companies that want to bring Shadow AI under control and introduce productive AI with full data sovereignty.

  • Sovereignty check as a solid starting point
  • Private AI workplace productive in about 4 weeks
  • One automated business process with measurable time savings
  • Setup and configuration remain your property
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Workshops

The structured entry point for management, IT and business units

When clarity comes first: a workshop instead of jumping straight to tooling. Sort out potential, risks, conditions and next steps together.

Suited to companies that want to start in a structured way and need a sound basis for decisions.

  • Prioritise relevant AI use cases cleanly
  • Assess cloud, local or hybrid realistically
  • Clarify risks and governance
  • Sound next steps for pilot or roadmap
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Consulting

Strategic and technical guidance for sound decisions

When the direction is clearer: guidance on architecture, stack selection, target picture and implementation preparation – with a technical reality check.

Suited to companies that want to bring AI into processes and systems in a controlled way.

  • AI strategy and target architecture
  • RAG, knowledge systems and secure AI assistance
  • Data flows, integrations and technical guardrails
  • Sparring for pilot and implementation planning
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Implementation & support

Pragmatic support from pilot to operations

When decisions should turn into solid solutions: technical support, prototypes, integrations and a controlled handover into everyday work.

Suited to companies that want to evaluate AI not only conceptually, but bring it cleanly into existing processes.

  • Prototypes and pilots with a clear learning goal
  • Integration into existing data and system landscapes
  • Technical reviews on architecture, security and operations
  • Handover with traceable decisions and next steps
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A typical process in 4 steps

Each step builds logically on the previous one.

  1. 01

    Workshop

    Clarify goals, priorities and use cases.

  2. 02

    Architecture

    Define data flows, roles and technical guardrails.

  3. 03

    Development

    Build and test a solid prototype.

  4. 04

    Pilot

    Try the solution in everyday work, gather learnings for rollout.