Why do most AI projects stall after the pilot phase?

Though any AI project starts with a lot of excitement with a great proof-of-concept, the actual challenge comes in the real-world integration phase. From facing unorganized data mess to system constraints to possible concerns about legal and compliance issues, all come as deterrents.

A lot of teams underestimate how much hand-holding AI needs to behave well at scale. It's not just about building a smart model, it's about stitching it into the guts of your workflows without things breaking.