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RPA vs Agentic AI: An IT Leader’s Guide
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Critical operations in finance, HR and supply chain run on RPA bots, business rules and a growing number of AI tools, across landscapes that change with every migration, upgrade and new AI deployment. When one of those processes stops, orders stall, suppliers go unpaid and the close slips. For the IT leaders accountable for those operations, the choice between RPA and agentic process automation decides how reliably processes hold up through that change. The two solve different problems, and each has a clear place in the automation stack. - RPA follows predefined steps and suits stable, high-volume tasks; it breaks when a screen, field or rule changes. - Agentic process automation (APA) uses AI agents that reason across systems, adapt to variation and act under human approval. - Migrations, upgrades and new AI tools keep changing the landscape bots depend on, and that change is where APA adds the most.
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