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Training · ChatGPT · Microsoft Copilot

The value of AI only emerges through the right application

Access to ChatGPT or Microsoft Copilot alone does not yet improve the work.

I design practical training for everyday office and knowledge work — aligned with roles, tasks and the tools approved in the organisation.

From writing, analysing and summarising through to preparing decisions and recurring workflows.

01 — Areas of use

Where AI can support everyday office work

AI can support people on many tasks that take time for preparation, structuring and revision. In training, these possibilities are transferred to participants’ actual roles and workflows.

  • Writing and revising

    Drafting text, shortening copy, adjusting tone, making content clearer and developing existing documents further in a targeted way.

  • Summarising and structuring

    Condensing long documents, meeting notes or extensive information, extracting key points and bringing content into a usable structure.

  • Analysing and comparing

    Contrasting information, developing criteria, recognising similarities and differences, and preparing initial decision foundations.

  • Researching and preparing

    Structuring questions, developing search directions, preparing meetings and unlocking existing information purposefully.

  • Developing ideas and thinking further

    Generating first approaches, taking different perspectives, comparing variants and systematically developing existing thoughts further.

  • Supporting recurring work

    Developing templates, review steps and reusable approaches so similar tasks can be handled faster and more consistently.

02 — Application competence

Productive use is a learnable skill

Anyone who understands the possibilities of ChatGPT, Microsoft Copilot and other AI tools can decide more deliberately when and how to use them in day-to-day work.

To that end, participants develop five central abilities:

  1. Recognising suitable tasks

    They distinguish which tasks AI can save time on, improve quality for or open new perspectives on — and when a different approach makes more sense.

  2. Handing over tasks clearly

    They describe goal, context, requirements and the desired form so the tool can provide targeted support.

  3. Developing results further

    They work with the tool step by step, ask follow-up questions, add information and take first outputs further into a usable working basis.

  4. Assessing quality

    They check results for accuracy, completeness, sourcing and fitness for the intended purpose.

  5. Applying rules safely

    They translate organisational rules on data, approved tools and responsibility into concrete day-to-day situations.

03 — Roles

Not every audience needs the same training

The fundamentals of working with AI are similar. Which content is deepened, which examples are used and which decisions are practised, however, depends on participants’ roles and responsibilities.

Employees and specialist teams

Using AI on concrete tasks

Participants learn to use ChatGPT, Microsoft Copilot and other approved tools for typical tasks in their day-to-day work.

Leaders

Enabling use and providing orientation

Leaders do not need to master every feature themselves. They should, however, be able to assess what AI means for their area, which expectations are sensible and where clear boundaries or controls are needed.

Multipliers and internal contacts

Carrying knowledge through the organisation

Internal contacts support colleagues, collect recurring questions and help make good working practices available across the organisation.

Specialist roles

Using AI for a clearly bounded area of work

For certain functions, training can be tailored more closely to concrete activities — for example HR, communications, project management, sales, administration or early AI support in software development.

Role-focused concepts deliver tangible value

Aligned with participants’ roles and responsibilities — and durable for future AI tools.

04 — Tools

Aligned with your tools

Which solutions take centre stage in training depends on role, tasks and organisational guidelines. Typically this covers Microsoft AI solutions, general AI assistants and – where relevant – software development tools.

  1. Microsoft Tools

    For teams in the Microsoft environment: productive use in Office applications, tailored assistants and enterprise-ready AI services.

    • Microsoft CopilotMicrosoft Copilot
    • Microsoft Copilot Studio
    • Microsoft Foundry
  2. General Tools

    For writing, analysing, summarising and research — regardless of provider, but within approved assistants and applicable data protection rules.

    • OpenAI ChatGPTOpenAI ChatGPT
    • Claude ChatClaude Chat
    • Gemini AIGemini AI
  3. Coding Tools

    For development teams and technical roles: AI-assisted support when writing, reviewing and developing code — aligned with the stack in use and internal guidelines.

    • GitHub CopilotGitHub Copilot
    • Cursor
    • Opencode
05 — Formats

The format follows the desired outcome

Not every training goal requires the same duration, group size or way of working. What matters is what participants should understand, assess or apply afterwards.

  • Orientation for leaders

    Relevant developments · Fields of use · Responsibility · Governance · Expectations of teams

    For leadership teams who want to understand the possibilities, limits and implications of AI for their area of responsibility.

  • Practical workshop for teams

    Writing · Analysis · Research · Preparation · Quality checks · Shared ways of working

    For groups who want to transfer ChatGPT, Microsoft Copilot or other approved tools to concrete tasks in their day-to-day work.

  • Role-specific training

    HR · Communications · Project management · Sales · Administration · Software development

    For specialist areas or functions with similar tasks and requirements.

  • Training for larger groups

    Fundamentals · Suitable applications · Organisational rules · Quality checks · Clear next steps

    For organisations that want to create a shared foundation for the safe and productive use of AI.

  • Guided introduction

    Training · Day-to-day application · Follow-up questions · Multiple sessions

    For organisations transferring a new tool, a pilot area or shared AI working practices into day-to-day work. Training, application and follow-up questions are connected across several sessions.

06 — Materials

What your team also takes away after the training

Depending on the audience and scope of the training, participants receive supporting materials they can use to look things up and continue applying the approaches developed in day-to-day work.

Presentation materials

The key training content prepared in compact form — including possibilities, limits, quality checks and the working practices covered.

Practical guide

A clear guide for continued use of ChatGPT, Microsoft Copilot or other tools in use.

Templates and working examples

Reusable briefs, prompt structures, checklists or examples from the training that can be transferred to similar tasks and developed further internally.

07 — Contact

Which new skills can take your team further still?

You show me where your team stands today, which tools are already in use and which goals you are pursuing by extending these competencies.

On that basis we develop training that builds on existing experience, conveys new ways of working and fits participants’ actual tasks.

You receive a clear initial assessment of content, scope and format.