What AI Automation Means and How It Differs From Traditional Automation and AI Agents

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An introductory guide explains that workplace terms like automation, AI, AI automation, and AI agents form a hierarchy of increasingly capable technologies. Traditional automation follows strict rule-based logic, while AI handles pattern recognition and unstructured data such as text and language. AI automation combines the two, allowing workflows to interpret messy inputs like invoices and route them dynamically. A comparison table outlines what each technology can and cannot do, with business examples such as sentiment categorization and invoice extraction. The article concludes that the most practical starting point is identifying repetitive weekly tasks, such as customer support triage, that are suited to automation.

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