How to Get Started with AI in Your Organization?
A small experimental team can be a powerful first step.
Ethan Mollick’s article “AI in Organizations: Some Tactics” offers practical advice on how organizations can begin applying AI in everyday work. Here are the key recommendations:
1. Leverage employee initiative
Many employees are already experimenting with AI tools independently. This decentralized innovation is worth supporting and making visible—for example, by encouraging people to share successful use cases across teams.
2. Set up a small experimental team ("AI Lab")
A small, cross-functional team can:
- Test and compare different AI tools for organizational needs
- Collect useful prompt examples and practical use cases
- Build lightweight prototypes for real work situations
- Show concrete examples of what AI can do
3. Turn individual experiments into shared learning
Without coordination, AI experiments tend to remain isolated. A dedicated team can act as a connector—gathering insights and turning them into shared organizational value.
4. Start from current tasks
You don’t need a major transformation to get started. Even small improvements in reporting, communication, or automating knowledge work can bring immediate value.
5. Make AI potential visible and engage leadership
One of the team’s key roles is to demonstrate AI’s potential to leadership. Clear, concrete examples help create shared understanding and build confidence for broader adoption.
