Course
digicode: HERAI
Successful Management of HERMES Projects with AI
Course facts
- Using AI in a targeted and responsible way in HERMES project management
- Knowing and using specific AI use cases for everyday project work
- Creating central HERMES artifacts efficiently with AI support
- Checking AI-generated content critically and spotting hallucinations
- Ensuring quality, governance, and traceability
1 Overview of HERMES: Artifacts, roles, scenarios
2 AI in the HERMES context – where AI provides pragmatic assistance
3 Comparison of AI tools, including decision-making aids:
- ChatGPT,
- Microsoft Copilot
- Github Copilot
- Prompting for project managers
4 AI use cases in everyday project work
- Transcribing meetings
- Deriving tasks
- Summarizing processes
- Creating reports
- Visualizations
- Analyses
5 Practice I: AI-supported completion of an implementation order
6 Practice II: Project planning
7 Recognizing and checking hallucinations
8 Quality assurance, governance, and responsibility
- AI-supported quality assurance
- Consistency check
9 Best practices & pitfalls
- Limits of automation
- Human responsibility
10 Optional: Working on your own (anonymized) documents
Short impulse phases combined with vivid live demonstrations convey the basics. Guided exercises using HERMES templates deepen your understanding, and you can consolidate your knowledge in partner and group work.
The course concludes with Q&A sessions in which open questions are clarified and direct transfer to your own practice is supported.
- People from administration, education, and business
- Project managers
- Part project managers, PMO employees, specialists who create or review HERMES artifacts and want to use AI specifically in everyday project work
HERMES Foundation or comparable practical knowledge is required.
You will get the most out of the course if you have your own laptop with M365.
We also recommend access to at least one of the following AI tools:
- ChatGPT Plus
- Microsoft 365 Copilot
- Visual Studio Code with GitHub Copilot Pro
If participants do not have their own access to the AI tools mentioned, the trainer will show all demos live so that the course is still fully comprehensible.