Your team is already using AI, whether or not anyone set ground rules, and you are the one accountable when a fabricated number reaches a client. This course treats that as a leadership problem rather than a tool problem, and gives you a framework to manage it instead of bracing for it.

This Course Offers

• The Team AI Integration Framework, four moves that turn informal person by person AI use into a visible, shared practice
• A structured AI Baseline Assessment across usage, impact, capability, and risk, so you manage from evidence rather than assumptions
• Guidance on building a team AI policy together, with five agreements covering tools, data, review, disclosure, and direction
• A checkpoint map that places simple checks exactly where risk enters, including data going in and AI work leaving the building
• A 60 day adoption workbook with a completed worked example, so you see what done properly looks like on a real team

Why We Love This Course

1. It focuses on the change management side nobody handed you a method for, rather than prompting tricks or tool comparisons.
2. The risk framing is unusually sharp. Fluent, confident output that normal review was never designed to catch is the exact failure mode managers miss.
3. It is built around your existing work rather than on top of a full week, so it runs on your team's timeline and will not date with the next model release.
4. Ramon Janssen brings 25 plus years leading tech teams and has taught over 60,000 managers, with recent years focused specifically on this problem.

Shadow AI is not misconduct, it is just useful tools arriving before anyone set the rules. The question is whether you shape that into a standard or keep discovering it during an incident. Do you want another quarter left to chance, or a working policy your team actually uses? Enrollment is open, and you need no AI experience to start.

• This course is perfect for managers, team leads, and department heads overseeing knowledge work in marketing, operations, finance, HR, sales, legal, consulting, or professional services.
• It suits leaders accountable for the quality, risk, and performance of AI assisted work who were never given a method for managing it.
• Anyone moving into a management role who wants the AI part of the job worked out in advance will find it useful, though it is not intended for software development teams.

• An interest in how AI is changing the way teams work is all you need to start.
• No AI experience is required, and you do not need to manage a team yet to take the course.
• No technical background or prompting knowledge is expected, since the course deliberately avoids tool focused instruction.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.