AI agents are transforming enterprise workflows by shifting from rigid, rule-based automation to dynamic, multi-step processes that adapt to real-time data and unexpected conditions[6]. These systems use reasoning, planning, and tool use to handle complex tasks, such as navigating multiple web applications or processing orders across sites that lack native APIs[2][6].
By integrating AI agents, organizations can automate workflows previously considered too complex for traditional methods, reducing manual data entry and improving operational efficiency[2][6]. This approach allows teams to delegate repetitive work to autonomous agents while maintaining control through centralized management, monitoring, and human-in-the-loop intervention for exception handling[2][4].
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