A Practical Framework for Scoping an AI Proof of Concept
Most AI proof-of-concept projects don't break down while they're building. They fall down on scoping, weeks before coding is even written. If the objective is unclear, data is unavailable, or a success is not defined, a two-week experiment becomes a two-month drift, showing no return to a stakeholder. I've seen this on my own projects and on teams that I have worked on. The solution is simple, and it does: formulate the POC as a question with a number behind it, and then determine how to find ou
