AI Applications in the New Frontier of Process Improvement
Universities are increasingly leveraging AI and automation to enhance process improvement by streamlining functions and processing large amounts of data. Though the possibilities seem endless, AI is particularly useful for automating time-consuming tasks within a process, democratizing knowledge to process users, and navigating informational or procedural roadblocks.
However, AI is not a comprehensive solution to all process-related woes, and some inefficient processes may yield greater benefits from other technological or non-technology solutions. Further, processes that benefit from AI usage still require human oversight; therefore, institutions may want to avoid applying AI to navigate processes from start to finish or to handle proprietary and sensitive information. Failure to do so can lead to considerable security risks or employee skills gaps.
When deciding whether to utilize AI for process improvement efforts, EAB recommends starting with one straightforward question: “Where do processes tend to break down?”
Read on to learn how to surmount common process improvement roadblocks with AI and automation.
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Related report
The following case studies address process improvement powered by generative AI. For more information about emerging agentic AI technology and how it may impact higher education, visit our related report on agentic AI.
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