AI for Managers Lead Teams Using AI Without Losing Control

Assess AI use, set a team AI policy, Control the Risks, Drive AI adoption ractical AI leadership for Team Managers
What you'll learn

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Lead AI adoption in your team deliberately: turn scattered, person-by-person use into one shared, controlled way of working
Recognize the AI risks that don't look like risks: fluent, confident output that normal review was never designed to catch
Adapt your own role as AI changes the work: what to stop doing, and what only you can do now
Run the AI Baseline Assessment across usage, impact, capability and risk, and replace assumptions with a clear picture of your team
Build a team AI policy together: five agreements covering tools, data, review, disclosure, and direction
Place checkpoints where risk enters: data going in, AI-made work becoming the basis for a decision, work leaving the building
Rebuild performance management for AI-assisted work, when speed and polish no longer tell you what they used to
Read resistance as information, and move each person forward from where they actually are
Find the next AI use cases worth adopting: scan for opportunities, run a bounded trial, and decide on the evidence
Work through a realistic 60-day plan, with the included workbook and a completed worked example
Requirements

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An interest in how AI is changing the way teams work. No AI experience needed, and no team required to start.
Description

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How do you lead AI Adoption in Your Team?
AI is Already in Your Team.
A real opportunity, and your responsibility. Leadership wants results. Your people are each using it their own way, making their own call about what's safe to paste into a chatbot.
That's shadow AI. Not misconduct - just useful tools arriving before anyone set the ground rules. And you're the one accountable when a fabricated number reaches a client, or a proposal lands in the wrong app.
Managing AI in your team isn't aboutwhich tool . Your people can work that out. The hard part is turning scattered, private experimenting into one deliberate way of working.
You are not behind. You've been handed a management and leadership problem - and those have methods. This one is theTeam AI Integration Framework: four moves that turn informal, person-by-person AI use into a visible, shared, controlled team practice.
Assess - get an honest, structured picture of how AI is really being used across your team: usage, impact, capability, risk. Now you're managing from evidence, not guesswork.(Your Team AI Baseline.)
Align - agree on a team AI policy together, not one handed down: five agreements on tools, data, review, disclosure, and direction. Clear guardrails everyone works within, because the real risk is what goes unmanaged.(Your Team Working Standard.)
Control - put simple checkpoints exactly where AI risk enters: a named moment, a two-minute check, a named owner, so critical AI mistakes get caught before they can seriously harm the business.(Your Checkpoint Map.)
Lead - keep adoption alive and growing: reinforce the standard, develop each person, spread what works, and find the next AI use cases worth adopting.(Your Lead AI Adoption Plan.)
Put it together, and the day-to-day changes: less scrambling when leadership asks for a status, less second-guessing what your people are pasting where, and a team that's getting genuinely better instead of quietly getting dependent - you steering it, not bracing for it.
This is the change management side of AI, the part nobody handed you a method for.
And you build it as you go. A 60-Day AI Adoption Workbook holds every exercise, four moves and two weeks each, with a completed worked example showing what "done right" looks like on a real team.
Every lesson is short and practical, built from the manager's chair: real situations, and the actual words you can say in the room. You finish with five working documents your team uses, not notes.
It's built around the work, not the tools, so it runs on your team's timeline, not on top of an already full week, and it won't go stale with the next model release.
Taught by Ramon Janssen, management and leadership consultant and instructor. 25+ years leading teams in the tech sector; more than 60,000 managers taught. And in recent years, focused on exactly this: using AI in management, and leading teams that use AI.
This course is for you if you lead a knowledge-work team (marketing, operations, finance, HR, consulting, sales, legal, professional services) and AI use started before the structure to manage it did. Your own AI skill level doesn't matter.
It's not for you if you're after prompting techniques or tool comparisons. And it's not for software-development teams: AI-assisted coding has its own established ways of working, and this course deliberately isn't about them.
In 60 days, you can stop reacting to AI happening in your team and start leading it, with a real grip on the thing you're accountable for.
Enroll now, and early in the course get a clear, honest read on how your team is really using AI: where it's helping you, and where it's quietly leaving you exposed. The only real risk is another quarter left to chance.
Who this course is for

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Managers, team leads and department heads who oversee knowledge work: marketing, operations, finance, HR, sales, legal, consulting or professional services, and whose teams already use AI, visibly or quietly
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 before they get there
Not for software-development teams, or for anyone looking for prompting techniques, tool comparisons or AI fundamentals
Homepage

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