Most enterprise AI agent pilots fail to reach full deployment due to operational challenges rather than model limitations. A significant gap exists between the high percentage of companies running agent pilots and the low percentage that successfully scale them. Key blockers include scope creep, inadequate data access for live systems, lack of automated evaluation frameworks, unclear ownership, ballooning costs at scale, and security concerns. AI
IMPACT Highlights critical operational and security gaps hindering enterprise AI agent adoption beyond pilot phases.
RANK_REASON Analysis of multiple research reports on AI agent deployment challenges.
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