Lilly Tech Systems
AI Change Management
Master the human side of AI transformation. Learn proven frameworks for stakeholder engagement, communication planning, resistance management, and adoption measurement to ensure your AI initiatives deliver lasting organizational impact.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Why AI change management is unique, common failure patterns, and frameworks for leading AI-driven organizational transformation.
2. Stakeholder Analysis
Map and analyze stakeholders across the organization to understand their influence, interests, and readiness for AI adoption.
3. Communication
Design targeted communication strategies that build awareness, understanding, and enthusiasm for AI across all organizational levels.
4. Resistance Management
Identify, understand, and address resistance to AI adoption with empathy-driven strategies that turn skeptics into advocates.
5. Measuring Adoption
Define and track AI adoption metrics, build adoption dashboards, and use data to continuously improve change initiatives.
6. Best Practices
Proven strategies from successful AI transformations, scaling change management, and building a change-ready culture.
What You'll Learn
By the end of this course, you'll be able to:
Analyze Stakeholders
Map the organizational landscape to identify champions, influencers, and at-risk groups for targeted change interventions.
Plan Communications
Create multi-channel communication plans that address different audiences with the right message at the right time.
Manage Resistance
Apply proven techniques to address fear, uncertainty, and doubt while building genuine excitement for AI capabilities.
Measure Adoption
Track adoption metrics that matter and use data-driven insights to optimize your change management approach.