From the studio
Most AI projects fail because they were the wrong one
The expensive mistake is not picking the wrong model. It is automating a process that was never the bottleneck, and finding out six months later.
Strategy6 min read
In this piece
- Failure is almost always a scoping failure, not a technical one. The system works; nobody needed it.
- The most visible process is rarely the most costly one, and visibility is what usually decides the pilot.
- Four tests predict success, and a process failing any one of them is a warning worth acting on.