AI for BusinessLesson 5
Lesson 57 min
Driving Adoption
Technology is easy; getting people to use it is the hard part.
What you will learn
- ✓Why adoption fails
- ✓Using champions per team
- ✓Training and feedback loops
Explanation
Most AI projects fail on adoption, not technology. People keep their old habits unless change is made easy and valuable to them.
Find a champion in each team who'll model the new way and answer questions. Provide short, role-specific training, and create a feedback loop so users shape the tool.
Celebrate early wins publicly — social proof drives adoption more than mandates.
Real-world use
A rollout with enthusiastic team champions reaches far higher usage than a top-down mandate with no support.
Common mistakes
- • Shipping a tool and assuming people will adopt it without training or champions.
Practice
Name one team in your org and who the AI 'champion' could be, and why.
Knowledge check
0/1 answered1. What most often causes AI projects to fail?
Answer all questions to check.