Many employees navigating AI change aren't opposed to it — they're quietly overwhelmed. They haven't said anything because they're not sure whether what they're struggling with is a skill gap, a mindset issue, or something missing from their environment. That silence doesn't make the concern go away. It makes it harder to get the clarity, support, or adjustment they actually need.

This class helps individual contributors turn those unspoken concerns into real conversations. Using the 4-Part Clarity Framework, learners move from vague frustration to structured communication — describing the context, sharing the impact, identifying their need, and making a direct, actionable request.

Learners analyze a case study to surface the difference between internally and externally driven concerns, complete two individual reflections applying the framework to their own AI experience, and practice a real workplace conversation in an AI roleplay session. They leave with a completed 4-Part Clarity Framework response they can put to use right away.

You'll leave with a greater understanding of:

• where your AI concerns are coming from — and how to tell the difference between what's internal and what's environmental

• how to name your experience and your needs with enough specificity to be useful

• what it takes to structure and deliver a clear AI change conversation with your manager or team