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.
“I was surprised about the effective and thorough workshop follow-up, something I have not experienced before. The online sessions were run as if everyone were in the same room again. No death-by-powerpoint, but real interaction!”
“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