The problem this workshop addresses
- Managers are expected to lead AI use before they know what good checking looks like.
- Teams often mistake confident AI output for reliable output.
- Responsible AI behaviour needs simple routines people can model in meetings and decisions.
Who this workshop is for
People managers, functional leads, and senior professionals who use or sponsor AI-supported work.
- Managers who use AI but do not want tool theatre
- Teams making decisions from AI-assisted drafts
- Leaders who need a practical responsible-use routine
What participants leave with
- Use a repeatable verification loop for AI output
- Calibrate trust before using AI in a decision
- Name data, privacy, and human-oversight questions leaders must ask
Client voices from related work
Selected from approved client testimonials that match the theme of this workshop.
“Maik had a fantastic feel for the people in the room and simply radiated energy throughout. I was astounded and surprised by how easy it seemed for Maik to invite, include and excite everyone in our diverse workshop group.”
“A great course - we learned in small steps, had a lot of practice with real world examples, made commitments for the next actions after the course and the most remarkable thing - we had follow-up meetings to help to apply things in practice.”
“I used to be stressed and overworked because I was firefighting all the time. Through Maik's training, I learned how to empower my team to find their own solutions. In return, I found more time to work on the things that matter most.”
What gets practised
- Output verification
- Trust calibration
- Responsible-use role modelling
Workshop flow
Review one AI output and identify failure modes
Practise the verification loop on a small leadership task
Calibrate trust, data risk, and human oversight
Close with one role-modelling commitment
Typical use cases
- AI literacy
- Manager upskilling
- Responsible AI practice
Fit and boundaries
Prerequisites
- Participants need access to an AI tool they are allowed to use during the session.
Participant prep
Bring one AI-assisted draft, output, or decision support example you can safely discuss.
Not a fit for
- Participants who need deep technical AI engineering training