Why most AI projects fail before they ship

Most AI projects don't die because of bad technology. They die because of slow delivery cycles, misaligned scope, and teams that bill hours instead of owning outcomes.

The companies actually shipping AI in 2025 have one thing in common: they stopped treating AI as an R&D experiment and started treating it like a product sprint.

What's the biggest bottleneck you've hit taking an AI idea into production?