What you'll learn:
- Align GenAI/automation initiatives to business strategy, KPIs, and prioritized use cases.
- Build a GenAI change plan using Kotter, ADKAR, and AI-specific adoption frameworks.
- Design governance, roles, and guardrails for responsible, compliant AI use.
- Create an AI-ready culture with psychological safety, experimentation, and learning.
- Plan upskilling/reskilling for AI-augmented roles (prompting, review, oversight).
- Reduce resistance by engaging stakeholders, reframing narratives, and co-creating pilots.
- Track adoption and value with metrics, feedback loops, champions, and scaling playbooks.
Generative AI isn’t “just another tool rollout”—it’s reshaping how work gets done, how decisions are made, and how teams create value. And the biggest risk isn’t the technology…it’s failed adoption.
Consider these realities:
64% of CEOs say GenAI success depends more on people adoption than the tech itself.
~65% of organizations already use generative AI in at least one function.
Over 60% of CEOs admit they’re moving faster with GenAI than their people are comfortable with.
Only 39% of CEOs say they have strong GenAI governance in place.
If you’re responsible for introducing GenAI and automation in your organization, you need a practical, human-centered change management roadmap—one that addresses fear, resistance, skills gaps, culture, and risk.
That’s exactly what this course delivers.
In this course, you’ll learn how to:
Explain what GenAI is (and why it changes work differently than past tech)
Align GenAI initiatives to business strategy, KPIs, and high-value use cases
Apply proven change frameworks (Kotter, ADKAR) plus AI-specific approaches
Set up leadership roles, Centers of Excellence, and governance that builds trust
Build an AI-ready culture: curiosity, psychological safety, experimentation, and learning
Upskill/reskill teams for AI-augmented work (prompting, critical review, oversight)
Overcome resistance with clear messaging, stakeholder engagement, and co-creation
Learn from a real case study (McDermott Will & Emery) to see what works in practice
Sustain adoption with metrics, feedback loops, champions, and continuous improvement
By the end, you’ll have a step-by-step plan to lead GenAI and automation change—so your rollout doesn’t stall in “pilot purgatory,” and your people actually benefit from the technology (safely, responsibly, and at scale).
