7 ways to sabotage an enterprise AI pilot: a reverse playbook for why AI projects never reach production
alex_verem · x · 2026-10-12
A viral X thread frames enterprise AI failure as an intentional sabotage playbook: run a 12-week discovery and maturity assessment instead of shipping one workflow in month one; pick use cases in a frameworks workshop rather than from workflows customers complain about; interview only the signing executive while skipping the people two levels down who know where things break; build demos on clean sample data before anyone defines what a correct answer looks like, making success unfalsifiable; report adoption as seats and logins with no baseline for cycle time, rework or cost per case so finance can't see it in the P&L; and keep the client's engineers out of the build so nobody can run, fix or roll it back later. Inverted, it reads as a practical checklist for making enterprise AI pilots actually land.
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