I’ve been working with enterprise teams on AI transformations for several years, and one pattern keeps coming up where most organizations invest heavily in pilots, but 70–95% never reach meaningful production scale. From what I’ve seen, the failure is rarely because the model wasn’t capable. It’s almost always due to gaps in readiness, governance, realistic ROI modeling, or pre-deployment assessment. I’m curious about the community’s real experiences:
- What has been the biggest blocker stopping your AI projects from scaling?
- How much shadow AI (unauthorized use of tools like ChatGPT, Claude, Gemini, etc.) are you seeing inside your organization? Would love to hear honest stories or perspectives. Thanks in advance! submitted by /u/Unusual-Eggplant5982
Originally posted by u/Unusual-Eggplant5982 on r/ArtificialInteligence
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