Inbox info@ gets 30 mails a day, sorting takes an hour
Sorting is repetitive and reasonably classifiable, so an LLM does it in seconds. Complaint, billing, sales, technical: per category to the right team or mailbox.
Try this first
- 1Trigger on the info@ mailbox (Outlook or Gmail). Read subject and first 500 words.
- 2Classify with an LLM step, JSON mode, with a fixed schema: {category: enum, urgency: enum, summary: string}. 4 or 5 categories often beats 10.
- 3Route on category to the right mailbox or ticketing tool. On urgency=high: extra Slack ping to a group.
- 4Add a fallback: on category=unsure or low confidence, don't route, put in a review folder for manual check.
- 5Keep an audit table: what category did the classifier produce and what was the actual outcome. Mismatches help you improve the prompt.
When to bring us in
Want to evaluate this classifier or measure a baseline before go-live, we can include a week of historical mail in evaluation.
See also
- n8n: self-host or cloud?Self-hosted is cheaper at volume and keeps data local. Cloud removes ops burden.
- Zapier or Make: which fits better?Zapier is straight-line; Make handles complex flows with routers and iterators for less money.
- Power Automate Cloud or Desktop: which to use?Cloud for SaaS integrations and triggers. Desktop for RPA against legacy Windows apps without APIs.
None of the above fits?
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