AI technology is rapidly expanding, with businesses eager to implement new tools for quick benefits. However, hasty adoption often fails to deliver lasting value. For example, automating invoice approvals with disconnected AI tools may achieve short-term speed but leads to errors and increased manual work due to fragmentation. Gartner forecasts that 60% of AI projects will be abandoned by 2026 if they lack a solid data foundation and planning. To ensure AI translates into long-term advantages, organizations must make strategic decisions on infrastructure and sustainable automation that align with their goals. This involves preparing staff through upskilling and adjusting processes for effective AI utilization. Fragmented AI infrastructure not only causes inefficiencies but also introduces significant business risks, such as high integration costs and missed opportunities for revenue and competitive edge. Prioritizing thoughtful planning over mere novelty is essential for maximizing AI’s potential and ensuring future success.
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