Module 425 minutes
Change Management and Adoption
Drive AI adoption across the organization. Overcome resistance and build AI-ready culture.
change-managementadoptionculturetraining
Learning Objectives
- ✓Drive organizational AI adoption
- ✓Overcome resistance to change
- ✓Build AI literacy
- ✓Create feedback loops
Technology Is Easy, People Are Hard
AI transformation is 80% people, 20% technology.
Change Management Strategy
1. Create urgency
- Share market pressures
- Show competitive moves
- Highlight opportunities
2. Build coalition
- Executive sponsorship
- Department champions
- Early adopter groups
3. Communicate vision
- Where we're going
- Why it matters
- What's in it for them
4. Enable action
- Training programs
- Time to experiment
- Safe to fail culture
5. Generate wins
- Quick visible successes
- Celebrate and share
- Build momentum
6. Sustain change
- Embed in processes
- Update incentives
- Continuous learning
Overcoming Resistance
"AI will replace my job":
- Show AI as assistant, not replacement
- Highlight new opportunities
- Provide reskilling
"Too complex for me":
- No-code tools
- Comprehensive training
- Peer support
"We tried AI, it failed":
- Learn from failures
- Different approach
- Start smaller
AI Literacy Program
- Executive briefings
- Department workshops
- Hands-on training
- Certification tracks
- Communities of practice
Key Takeaways
- →Executive sponsorship is non-negotiable
- →Address job security fears directly and honestly
- →Build AI literacy before rolling out tools
- →Celebrate early wins publicly
- →Make time for experimentation
Practice Exercises
Apply what you've learned with these practical exercises:
- 1.Create AI adoption roadmap
- 2.Design training program
- 3.Identify and address resistance
- 4.Plan quick win projects