AI automation is the practice of using AI models and tools to do work that used to require manual effort — drafting, classifying, extracting, routing, and responding at scale. It spans no-code workflow platforms, RPA bots, webhooks, and LLM-powered agents. Understanding triggers, pipelines, and where automation breaks down (unstructured input, edge cases, no oversight) is what separates automations that save hours from automations that silently amplify mistakes.