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This week, I have been working on automating my boss's inbox management, delegating email triage to AI while I handle reviews and approvals that require sound judgment. Because one wrong response to a client can cost a business revenue, I wanted to build a system that saves time without handing over critical decisions to AI.
How I built it:
I created two connected automation scenarios in Make.com.
Scenario 1: Intelligent Inbox Triage:
AI analyzes incoming emails, categorizes them by priority, summarizes their content, and recommends the next action. This makes it easier to identify urgent messages and decide what needs attention first.
Scenario 2: Human Review & Approval:
The workflow supports the review and approval process before an email is sent. Slack notifications help bring relevant updates to my attention, so I can review the proposed action and approve the response before it goes out.
Below are snippets of the two scenarios, including a Slack notification, showing how the workflow operates.
My takeaway? AI can help manage the inbox, but when a response could affect revenue or a client relationship, the final decision should remain human.
I'd test the triage with urgent emails that sound casual, such as 'I still can't access the account.' Do you review a sample of low-priority messages to catch urgent ones the AI missed?
I tested with low priority emails and i go through the emails that have run through the system by reviewing the email activity log on Google sheets to ensure the system understands the work.
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Built an AI-powered content automation system that streamlines content generation, management, and publishing through one connected workflow—reducing repetitive work and improving content production efficiency.
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n8n • OpenAI API • ChatGPT • Airtable • Notion • Google Sheets • Python • Webhooks • REST APIs
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Linking ChatGPT responses to Airtable and Notion in one flow wipes out the manual transfer step. That lets you focus on the creative side instead of data juggling.
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