Tips for Admins & Managers

1. Create structures for exchange

• AI channel (e.g., in Teams or Slack): a central place for questions, tips, and examples. This way, everyone learns from each other. • Regular Q&A sessions (short video meetings, e.g., every 2 weeks): employees can ask questions and present good prompts or results.

2. Identify typical use cases

• Start with everyday tasks that bring quick value:
• Relieve routine: standard texts, meeting notes, checklists.
• Improve communication: emails in the desired tone, professional customer responses.
• Boost creativity: brainstorming, campaign ideas, refining texts.
• Involve departments:
  • HR: job postings, interview questions, candidate comparison.
  • IT: explain code, document scripts, create small functions.
  • Project management: derive to-dos, structure tasks.

👉 Tip: Ask each team: “Which tasks annoy you the most?” – that’s often where the biggest impact lies.

3. Success principles for everyone

• Think critically: AI is an assistant, not an autopilot. Review results and apply common sense.
• Practice, practice, practice: the more employees test, the faster routines and “aha” moments develop.
• Make success visible: share success stories in the channel (“10 minutes instead of 2 hours – thanks to AI”).
• Take it step by step: start with small use cases, then roll out more broadly.

4. Motivation & culture

• Encourage power users: some discover creative applications faster – use them as multipliers.
• Organize competitions: “Who builds the best assistant?” A jury and small prizes make the entry playful.
• Leadership sets the example: managers should try AI themselves, share examples, and set clear expectations – AI is a work tool, not just a toy.

Conclusion

The culture of introduction is key to AI: exchange, experimentation, making successes visible. This way, AI evolves in the company from an “experiment” to a productive standard tool.