AI-Consulting, Training & Agent Development

 

Artificial intelligence is reshaping how people and organisations work, decide and communicate.

What matters is not the technology alone, but how strategically and responsibly it is used.

I support companies, organisations and public bodies in understanding their AI potential, shaping it, and bringing it into practice - always aligned with data protection, the EU AI Act and sound economic judgement.

AI Consulting – a strategic bridge between people and technology

I help anchor AI within organisational strategy:

  • Developing AI strategies and roadmaps for human-AI collaboration
  • Conducting potential analyses and identifying use cases
  • Supporting proofs of concept and pilot projects
  • Defining a clear AI mission and strategic objectives
  • Optimising costs and improving efficiency through intelligent automation
  • Advising on tool selection with a focus on value, data protection and long-term viability

The goal is to use AI where it creates real value.

AI Training - people at the centre of digital transformation

Technology can only be as effective as the people who understand and use it.

I offer hands-on training and advisory sessions for leaders, teams and organisations to:

  • Build AI literacy and decision-making competence
  • Clarify ethical and organisational questions
  • Foster trust and openness in working with AI

The focus is on empathetic guidance: clear, accessible and solution-oriented.

AI Agent Builder - creating digital teammates

I design custom agent systems that accelerate processes and relieve people - compliant, secure and economically sound.

I develop, among other things:

  • Workflow agents for automated processes
  • Browser agents for web research, data capture and analysis
  • System integrations and agent debugging
  • Multi-agent systems for complex tasks
  • RAG models (Retrieval-Augmented Generation) with long-term memory
  • EU-hosted agents for the highest data-protection requirements
  • Agents as a Service - scalable, low-maintenance and efficient

Depending on need, I support you in an advisory role, as a trainer, or directly in implementation - always with clear role definitions and a strategic view of overall benefit.

Conclusion:  AI is not an end in itself.

It only unfolds its value when people, organisations and technology are meaningfully connected.

I support you in taking this step clearly, systematically and in full compliance with data-protection requirements - with strategy, experience and sound judgement.

Whether you want to explore first ideas, develop an AI roadmap, or build your own digital teammates - get in touch.

Together we will find the right path for your company, organisation or public body.

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Practical examples in HR

AI-supported pre-selection in recruiting

In recruiting, an AI-based solution supports the initial screening of applications using modern language processing (NLP), semantic vector embeddings and clear decision rules.

The AI automatically extracts qualifications, skills and experience, compares them semantically with the job profile, and produces a transparent prioritisation - without black-box effects.

Techniques used:

  • Natural Language Processing for extracting relevant information
  • Semantic vector embeddings for content-based matching
  • Rule-based filters for mandatory requirements
  • Transparent, traceable scoring

Value for HR:

  • Significant time savings in initial screening
  • Consistent, more objective pre-selection
  • Clear decisions - still made by people, not technology

AI-based analysis of employee feedback

In employee surveys, free-text comments often remain unused. AI-supported analysis structures these comments in full - anonymised, compliant and relevant.
Using topic modelling (e.g., Latent Dirichlet Allocation), sentiment analysis and semantic clustering, clear insights emerge into stress factors, team dynamics or leadership issues.

Techniques used:

  • Topic modelling for automatic theme detection
  • Sentiment analysis for emotional patterns
  • Semantic trend detection through vector embeddings
  • Retrieval-Augmented Generation for context-aware evaluations

Value for HR & leadership:

  • Precise identification of fields for action
  • Clear, structured insights instead of overwhelming text volumes
  • A robust foundation for cultural, leadership and organisational development
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