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AI Workflow Automation

Traditional workflow automation moves data between apps. AI workflow automation adds intelligence at each step — classifying, summarising, drafting, deciding. We build AI workflows in n8n, Make and Zapier that combine deterministic logic with LLM-powered reasoning.

By WebsiteAndGoUpdated Aug 4, 2026 4 min read
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Why this matters
  • n8n self-hosted or cloud, plus Make and Zapier
  • LLM-powered decision nodes (route, classify, summarise)
  • Custom webhooks and API integrations
  • Error handling, retries and human-in-the-loop steps
  • Version control for automations

n8n vs Make vs Zapier — how we choose

n8n when you need self-hosting, complex logic or want to avoid per-execution pricing. Make (formerly Integromat) for mid-complexity visual workflows. Zapier for simple, high-reliability triggers with a huge integration surface.

Where AI makes workflows exponentially better

Classification (route this ticket to the right team), summarisation (turn a 30-message thread into 3 bullet points), drafting (personalised outreach at scale), and reasoning (should we approve this refund?). All with human-review gates where the risk warrants it.

What's included

n8n / Make / Zapier LLM decision nodes Self-hosting Error handling Version control

Frequently asked questions

  • Yes — we deploy n8n on your own AWS, GCP or Hetzner infrastructure so data never leaves your control. Common for regulated industries.

  • Very — when built with proper error handling, retries and fallbacks. We ship uptime SLAs on workflow-critical automations.

Ready to build?

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