AI agentic workflows enable multiple AI agents to work collaboratively, making dynamic decisions without rigid rules. Each agent has specialized roles, such as data collection and analysis, allowing them to optimize workflows in real time. This method contrasts traditional automation which relies on predefined rules and struggles with unexpected variables. By 2026, AI agentic workflows are projected to power a significant portion of enterprise software applications, handling a notable percentage of daily work decisions through advanced technology, enhancing efficiency and reducing bottlenecks.
AI agentic workflows function like a team of AI agents that communicate, reason, and adjust their actions in real time to optimize workflows autonomously.
By 2026, agentic AI will power 33% of enterprise software applications, autonomously handling up to 15% of daily work decisions, showcasing its transformative potential.
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