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.
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.
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.
Drafting text, shortening copy, adjusting tone, making content clearer and developing existing documents further in a targeted way.
Condensing long documents, meeting notes or extensive information, extracting key points and bringing content into a usable structure.
Contrasting information, developing criteria, recognising similarities and differences, and preparing initial decision foundations.
Structuring questions, developing search directions, preparing meetings and unlocking existing information purposefully.
Generating first approaches, taking different perspectives, comparing variants and systematically developing existing thoughts further.
Developing templates, review steps and reusable approaches so similar tasks can be handled faster and more consistently.
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:
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.
They describe goal, context, requirements and the desired form so the tool can provide targeted support.
They work with the tool step by step, ask follow-up questions, add information and take first outputs further into a usable working basis.
They check results for accuracy, completeness, sourcing and fitness for the intended purpose.
They translate organisational rules on data, approved tools and responsibility into concrete day-to-day situations.
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.
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.
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.
Carrying knowledge through the organisation
Internal contacts support colleagues, collect recurring questions and help make good working practices available across the organisation.
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.
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.
For teams in the Microsoft environment: productive use in Office applications, tailored assistants and enterprise-ready AI services.
For writing, analysing, summarising and research — regardless of provider, but within approved assistants and applicable data protection rules.
For development teams and technical roles: AI-assisted support when writing, reviewing and developing code — aligned with the stack in use and internal guidelines.
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.
For leadership teams who want to understand the possibilities, limits and implications of AI for their area of responsibility.
For groups who want to transfer ChatGPT, Microsoft Copilot or other approved tools to concrete tasks in their day-to-day work.
For specialist areas or functions with similar tasks and requirements.
For organisations that want to create a shared foundation for the safe and productive use of AI.
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.
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.
The key training content prepared in compact form — including possibilities, limits, quality checks and the working practices covered.
A clear guide for continued use of ChatGPT, Microsoft Copilot or other tools in use.
Reusable briefs, prompt structures, checklists or examples from the training that can be transferred to similar tasks and developed further internally.
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.