*Thisarticle is based on a YouTube video by Sophie Hundertmark, an expert in the use of artificial intelligence with a focus on chatbots and strategic AI applications in companies and public institutions. Sophie is a researcher and lecturer at the Lucerne University of Applied Sciences and Arts and is doing her doctorate in Conversational AI at the University of Fribourg. The blog text was created using a custom GPT model that was trained on Sophie’s video content, language style and expertise. The result is well-founded, up-to-date articles based on Sophie Hundertmark‘s own expertise.
You can find the link to the video at the end of this article.
Meetings are part of everyday working life. Whether it’s a project meeting, brainstorming session or strategy workshop – valuable ideas, decisions and next steps often emerge. However, the challenge often begins after the meeting: how can the content discussed be efficiently documented and transferred into a professional project description?
Modern AI tools offer an interesting solution for this. Instead of simply creating a classic meeting summary, you can generate a complete project description from a meeting transcript – including structure, management summary and other relevant chapters.
Why a project description is more than just meeting minutes
Many teams create minutes with the most important points after a meeting. This is helpful, but is often not enough for more extensive projects.
A project description goes much further. It not only summarizes the discussion, but also structures the content in a form that is understandable and usable for project participants, managers or external stakeholders.
These include, for example:
- Project goals
- Initial situation
- Requirements
- Opportunities and risks
- Responsibilities
- Next steps
- Management Summary
The result is a professional document that can be used directly as a basis for further project work.
The process: From transcript to Word document
The process is comparatively simple.
First, the meeting is recorded and transcribed. It is important that all participants have consented to the recording. Adherence to data protection and compliance requirements should always be a top priority.
The transcript is then loaded into an AI system. The prompt defines what content and chapters the project description should contain.
A possible assignment for the AI could be:
“Create a complete project description as a Word document based on the following meeting transcript. The report should include a title page, a table of contents, a management summary and the most important project findings.”
The desired chapters can be individually expanded or reduced.
What content should be included?
Depending on the scope of the project, different elements may be useful. The following structure often works well:
- Front page
- Table of contents
- Management Summary
- Project description
- Goals and requirements
- Opportunities and risks
- Recommendations
- Next steps
- Appendix
Verbatim quotes from the meeting can also be particularly valuable. They help to document important statements or decisions in a comprehensible way and preserve the original context.
Do not forget the formatting instructions
One aspect that is often underestimated is clear formatting guidelines.
The more precise the instructions are, the better the result will meet your own requirements.
These can include, for example
- Swiss spelling without a sharp S
- Uniform heading structure
- Defined font sizes
- Formatting tables
- Use of enumerations
- Design of the front page
This information can be stored directly in the prompt.
Why Claude is particularly interesting for this task
Claude is particularly suitable for creating extensive documents, as the system can generate very well-structured documents and supports various export options.
In principle, however, other AI systems can also be used as long as they enable the creation or export of Word documents.
The specific tool is less important than the quality of the prompt and the clarity of the desired structure.
Proofreading remains indispensable
Even if the AI does a large part of the work, each generated document should be checked carefully.
These are particularly important:
- Correctness of content
- Completeness of the information
- Consistent formulations
- Correct assignment of statements
- Compliance with internal guidelines
AI provides an excellent basis, but does not replace final quality control by humans.
Conclusion
AI can significantly reduce the effort required for project documentation. A simple meeting transcript can be turned into a structured project description within a few minutes, which goes far beyond a classic meeting summary.
If you hold regular workshops, brainstorming sessions or project meetings, you can save valuable time and improve the quality of the documentation at the same time. A clean transcription, a precise prompt and a final quality check are crucial.
This quickly turns a discussion into a professional project document that can be used directly.
Any further questions?
Do you have any questions? I am happy to support you, act as a sparring partner and answer your questions. I am always happy to receive your messages, preferably by WhatsApp message or e-mail.
