Why AI Projects Stall Between Proof of Concept and Production
A proof of concept is often the easiest part of an AI project. The scope is narrow, the users are friendly, the data sample is controlled, and the success criteria are usually simple enough to prove that something can work. A chatbot answers support questions. A model predicts churn with acceptable accuracy. A document processing tool extracts fields from a limited set of files. The demo looks promising, stakeholders get excited, and the team starts talking about production. Then the project slo

