Many projects fail because teams expect AI to solve problems beyond current capabilities. A knowledge base of realistic use cases could prevent wasted effort.
Build a searchable collection of vetted AI applications with success metrics. Monetize through corporate training and consulting.
Start with common business use cases before expanding.
The challenge is keeping pace with rapidly evolving models.