Executive Summary
- A human reading and routing an email in a shared inbox takes an average of 2 minutes. For 1,000 emails a day, that requires a full-time employee.
- An LLM easily categorizes intent from unstructured body text ('This is an angry vendor' vs. 'This is a new enterprise lead').
- The pipeline integrates via Zapier/Make to push structured JSON data directly to Zendesk, Salesforce, or Slack instantly.
Routing Accuracy
99.1%Zero Missed Leads
Percentage of emails successfully routed to the correct department without human manual review.
1. The Ingestion Layer
A secure webhook listens to the Microsoft 365 or Google Workspace inbox. The moment an email arrives, the raw HTML body, headers, and sender data are stripped and packaged as a JSON payload for the LLM.
Processing Time per 1,000 Inbound Emails
Human Triage Team33
Rules-Based (Regex)5
LLM Orchestration Pipeline0.2
Spam and Edge Cases
Traditional spam filters miss 'sales pitches disguised as inquiries'. The LLM is specifically prompted: 'If this is a cold outbound pitch from a vendor, flag it as SPAM, do not route to the sales team.'
2. The Extraction & Action Phase
If the email is a support request, the LLM extracts the specific error mentioned and the customer ID. It pushes a ticket directly into Jira. If it's a new lead, it pulls the company domain from the email address and pushes a new Deal to HubSpot.
The Compound Benefit
Beyond cost, the real ROI is speed to response. A new $100k lead sitting unread in the info@ inbox for 4 hours is often a lost deal. AI routes that lead to the correct Account Executive's phone in 2 seconds.