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AI automation refers to using artificial intelligence to carry out repetitive or complicated work without a person having to intervene at every step. It goes further than classic automation, which just follows a fixed if-this-then-that script — AI automation can flex with changing conditions, interpret context, and make judgement calls along the way.

  • Traditional automation follows rigid rules and breaks the moment conditions shift
  • AI automation tolerates variability, reads context, and gets better with use
  • Content publishing — generating and scheduling blog posts automatically
  • Customer support — chatbots fielding common questions around the clock
  • Email marketing — personalised sequences generated by AI
  • Social media — auto-drafted, auto-scheduled posts pulled from existing content
  • SEO housekeeping — automated keyword tracking, audits, and meta tags
  • Lead scoring — AI ranking leads by likely intent based on behaviour
  • Zapier — connects apps together with AI-assisted workflows
  • Make (formerly Integromat) — a visual, drag-and-drop automation builder
  • n8n — open-source automation with native AI nodes
  • Autonomous AI agents — able to carry out multi-step tasks with minimal supervision

None of this requires a developer background any more — automation that once needed custom code is now something a small business owner can set up in an afternoon.

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