Built an intelligent email triage system in n8n that reads, analyzes, and routes incoming emails automatically, cutting down the time a team spends manually sorting inboxes into leads, urgent requests, spam, and routine queries.
The problem: The client's team was manually reading every incoming email to figure out what it was about, who should handle it, and whether it needed an immediate response, a process that didn't scale as email volume grew and caused delays on time-sensitive messages.
What I built:
AI email analysis: Every incoming email is automatically read by an AI agent (built on OpenAI GPT-4, with Groq handling structured data extraction) that analyzes the content and extracts key details like intent, category, and urgency, rather than relying on simple keyword rules.
Smart routing by category: Based on the AI's analysis, each email is automatically routed down the correct path:
Genuine leads are logged straight into the database and the sales team gets an instant notification
Urgent emails trigger an immediate team alert so nothing time-sensitive gets missed
Routine queries that qualify for a quick response get an automatic AI-generated reply, while anything the system isn't confident about gets flagged for manual review instead
Spam is automatically filtered out and deleted, keeping the inbox clean
Tracking and accountability: Every processed email, regardless of category, gets logged into a tracking record, giving the team a full audit trail of what came in and how it was handled.
Outcome: The client's inbox now sorts and routes itself in real time, leads reach sales instantly, urgent messages get flagged immediately, and the team only has to manually review the emails that genuinely need a human judgment call.
Built an intelligent email triage system in n8n that reads, analyzes, and routes incoming emails automatically, cutting down the time a team spends manually sorting inboxes into leads, urgent requests, spam, and routine queries.
The problem: The client's team was manually reading every incoming email to figure out what it was about, who should handle it, and whether it needed an immediate response, a process that didn't scale as email volume grew and caused delays on time-sensitive messages.
What I built:
AI email analysis: Every incoming email is automatically read by an AI agent (built on OpenAI GPT-4, with Groq handling structured data extraction) that analyzes the content and extracts key details like intent, category, and urgency, rather than relying on simple keyword rules.
Smart routing by category: Based on the AI's analysis, each email is automatically routed down the correct path:
Genuine leads are logged straight into the database and the sales team gets an instant notification
Urgent emails trigger an immediate team alert so nothing time-sensitive gets missed
Routine queries that qualify for a quick response get an automatic AI-generated reply, while anything the system isn't confident about gets flagged for manual review instead
Spam is automatically filtered out and deleted, keeping the inbox clean
Tracking and accountability: Every processed email, regardless of category, gets logged into a tracking record, giving the team a full audit trail of what came in and how it was handled.
Outcome: The client's inbox now sorts and routes itself in real time, leads reach sales instantly, urgent messages get flagged immediately, and the team only has to manually review the emails that genuinely need a human judgment call.