Lead an AI Rollout for Your Team
Roll out AI to a 50–2,000 person team without it stalling. 8 lessons on shadow-AI audits, right-sized governance, one-use-case focus, champion networks, and adoption math.
What You'll Learn
- Diagnose why most team AI rollouts stall — the pilot-to-P&L gap — and map your team's real current-state AI use, including shadow AI
- Right-size AI governance for a mid-market team using three data tiers, named owners, and human-review gates — without a Center of Excellence or compliance department
- Choose ONE measurable, high-value, low-risk use case to launch first instead of 'everyone use AI for everything'
- Build a champion network and community of practice that drives adoption from peers, not mandates
- Run the change-management side — defuse the 'AI will take my job' fear and sustain momentum past the launch spike
- Measure adoption with the metrics that matter (weekly active users, activation rate, time saved) and present a 90-day rollout plan to leadership
Course Syllabus
Prerequisites
- You manage or influence a team (roughly 5–500 people) that's been asked to 'use AI more'
- You've personally used ChatGPT, Claude, Microsoft Copilot, or Gemini at least a few times
- Access to one team-tier AI tool, or the authority to pilot one — though every lesson works even if you're still evaluating
Frequently Asked Questions
Who is this course for — and who is it NOT for?
It's for the person at a 50–2,000 person company who's been handed 'roll out AI to the team' with no playbook and no dedicated AI staff — ops managers, IT leads, HR and L&D, department heads. It is NOT for enterprise CTOs building a formal Center of Excellence with a compliance department; if that's you, take the Enterprise AI Rollout Playbook instead. This course is the scrappier, budget-constrained, right-sized version.
Do I need to have chosen an AI tool already?
No. The course is deliberately tool-agnostic on the big decisions — it teaches the rollout process, not one product. You'll see how ChatGPT Team, Claude Team, Microsoft Copilot, and Gemini for Workspace differ on the points that matter (admin controls, data handling, a 'seat'), but every lesson works whether you've committed to a tool or you're still evaluating.
How is this different from the Enterprise AI Rollout Playbook course?
Same goal, different scale. The Enterprise Playbook assumes 1,000+ seats, a Center of Excellence, and formal NIST / EU AI Act / ISO 42001 compliance work. This course right-sizes all of that for a mid-market team: governance becomes three data tiers and named owners instead of a council; the champion network replaces a training department; adoption math replaces a transformation office. Many people take this one first and graduate to the enterprise course when they scale.
What will I walk away with?
Concrete artifacts, not theory: a one-page shadow-AI usage map of your team, a right-sized AI usage policy with three data tiers, a scored shortlist of candidate use cases, a champion-network plan, an adoption dashboard spec, and — in the capstone — a complete 90-day rollout plan plus a one-page version you can put in front of leadership.
