13 most common reasons AI pilots fail, from skipping process mapping to ignoring exceptions
vasuman · x · 2026-10-07
A practitioner's ranked list of why enterprise AI pilots fail, even at top companies: no upfront process mapping, automating one step of a 22-day process, missing baseline metrics, building chatbots instead of background agents (10% adoption), not embedding into systems of record, no AI owner, legal/infosec engaged too late, happy-path-only demos when exceptions are 40%+ of volume, no shadow mode, single-model vendor lock-in, vanity metrics, no month-7 ownership plan, and ignoring SME incentives.
Related event: Why Enterprise AI Pilots Fail: Top Causes Ranked(2 posts)→
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