Automate boring work with AI: n8n, Zapier and Make
If you copy the same details from emails into a sheet every day, or forward the same kind of message again and again, an automation tool can do it for you. Add an AI step, and it can also read, sort, summarise and draft.
How a workflow works
Every automation has the same shape:
- Trigger: something happens. A new email arrives. A form is submitted. It’s 9 a.m.
- Steps: things happen in order. Read the email → ask AI “is this an order, a complaint or spam?” → add a row to Google Sheets.
- Action: the result. Send a WhatsApp or Slack message. Save the file. Draft a reply for you to check.
Popular tools
- Zapier: the easiest start. Thousands of ready-made app connections.
- Make: visual, drag-and-drop “scenarios”, good for longer flows.
- n8n: very flexible, with built-in AI and agent steps. It can be self-hosted for free if you’re technical, or used as a paid cloud service.
- Power Automate (Microsoft 365) and IFTTT (simple phone and smart-home automations) are also in the directory.
A first workflow to try
“Summarise long emails from my boss.” Trigger: a new email from one address → AI step: “Summarise this in 3 bullet points and list any deadlines” → Action: send the summary to yourself on chat. Start with your own messages only, and check the summaries for a week before you rely on them.
Safety rules for AI automations
- Fewest permissions. Connect only the accounts and folders the workflow needs.
- Keep a human “confirm” step before anything that pays, deletes, or sends messages to customers.
- Data is not orders. An AI step that reads emails or web pages can meet hidden instructions (prompt injection). Read When a message gives your AI secret orders.
- Don’t feed it private data you’re not allowed to share: customer details, Aadhaar or bank numbers, health records.
- Follow your office’s rules on which AI tools are approved for work.
Check yourself
Your manager asks for a summary of a confidential client contract. What should you check first?
An AI step in your workflow reads customer emails and can send refunds. What is the safest design?
In an automation workflow, what is a 'trigger'?
A chatbot wrote a report with three statistics. What should you do before sending it?
Which of these should you never paste into a public chatbot?
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