AI Adoption That Sticks: Turning Tools into Team Habits

AI can deliver meaningful results for individuals, but making it a reliable part of an entire team’s work is a different challenge.

In this course,Jean Kang and Viktoria Semaan come together for a candid conversation about what it takes to move beyond scattered experimentation and build lasting AI habits. They explore why adoption efforts stall, how to recognize early signs of success or failure, and why individual wins don’t always scale across a team. They also examine how thoughtful workflows, organizational habits, and practical safeguards support consistent, effective, and responsible AI use.

The course introduces the AI Adoption Framework, which traces AI maturity from Individual to Organizational, Enterprise, and Agentic adoption. Gain a practical understanding of sustainable AI adoption and how to make AI a dependable part of everyday work.

Learning objectives
Identify repeatable problems AI can solve.
Explain the stages of AI adoption.
Distinguish individual AI use from team workflows.
Analyze barriers to scaling AI.
Identify human skills that complement AI in the workplace.