Why AI Projects Fail — 7 Patterns We See Repeatedly | KORIX

Originally published at korixinc.com . Why do AI projects fail? 87% of AI projects never reach production because of five recurring mistakes: unclear business objectives, poor data quality, no governance framework, wrong team structure, and scaling too fast. That number — from Gartner’s ongoing research into enterprise AI adoption — hasn’t improved much since 2020. If you’re planning an AI investment, understanding these failure modes is the single most important step you can take to protect you