84% of companies have AI pilots that never reach deployment. Here's what's keeping them locked in limbo.

Many companies are eager to implement AI, with 86% planning to increase their investment in the coming year, yet only 13% of AI projects have been fully deployed across businesses despite extensive pilot testing. A survey of 835 senior leaders found that AI pilots often stall due to IT infrastructure challenges, data quality issues, and system integration problems, with 41% of stalled projects affected by these factors. Successful AI deployment is more likely with dedicated ownership, early executive sponsorship, and sufficient budget allocation, with organizations spending between $250,000 and $499,999 annually reporting the highest success rates. While 81% of companies remain undeterred by failed pilots, emphasizing the importance of having robust data infrastructure, clearly defined use cases, and cross-functional buy-in, the survey highlights the critical role of executive sponsorship in advancing AI initiatives. Integration failures and compliance concerns are significant barriers, but tools like Zapier can enable secure connections between AI tools and existing company systems, facilitating faster deployment without losing control.

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