A manager does not need to understand how the model works. They need to know what it does reliably, where it fails, and how to tell the difference in their own team’s output.

That is the whole course.

The problem it solves

Managers are being asked to approve, govern and lead work produced with AI while quietly unsure what it is good at. Some overtrust it and ship errors. Others ban it and lose ground. Both are the same gap.

What it covers

• What these tools actually do, in plain language, with no mathematics and no hype
• Where they fail, including the failures that look most like success, which are the expensive ones
• How to check output when you are not the subject expert
• Data boundaries: what may go in, what may not, and how to say so in a way a team will follow
• Leading a mixed team, where some people are already ahead of you and some are frightened
• Judging AI-assisted work fairly, so the standard is the output rather than the method

How it runs

• Cohort based, so managers learn alongside peers with the same problems
• Short sessions with work between them, applied to their own team
• No prerequisite. If a manager has never opened one of these tools, they are in the right room

It pairs naturally with the AI Work Systems workshop: literacy first for the managers who need the confidence, then the two-day build for the ones ready to redesign how their team works.