Executive Summary
Choosing the right AI use cases is key to getting real business value and avoiding wasted effort. Here's how enterprise leaders can make smart decisions.
Evaluation Frameworks
- Business Value: Look at how much a use case could impact revenue, costs, or strategy.
- Feasibility: Check if you have the data, tech, and people to make it work.
- Risk Assessment: Think through regulatory, ethical, and operational risks.
How to Prioritize
- Align with Strategy: Make sure use cases support your main business goals.
- Score and Rank: Use scoring models to compare and rank opportunities.
- Pilot and Iterate: Start small, test your assumptions, and learn as you go.
- Scale What Works: Roll out successful use cases more broadly.
Conclusion
A disciplined approach to prioritizing AI use cases helps organizations focus on what matters most and manage risk along the way.