As institutions look to take advantage of intelligent automation and other AI-related technologies, it is critical to understand that adding intelligence to a process creates changes in unforeseen ways, including reducing human intervention, streamlining process workflows, reducing the flow of paper, speeding up processing, and providing deep insights to improve decision-making. These changes and their impact on the organization are not always clearly understood or well-defined up front, so the agility and connection of change management are of even greater importance than with the adoption of other, more predictable solutions.
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