AI Intent Detection and Routing
The agent reads every new user message, decides whether it's sales, billing, bug report, or feature request, and assigns the conversation to the correct Intercom team automatically.
Conversation example
Classifying intent for conversation 58930...
Intent detected: billing — proration question Moved conversation to team: Billing Assigned teammate: @nadia (next in rotation) Tags added: billing, proration, self-serve Internal note posted: 'User upgraded from Starter to Pro mid-cycle. Charge shown is $68 instead of expected $29.' Nadia has been pinged on WhatsApp.
More Intercom use cases
Live Intercom Conversation Alerts on WhatsApp
Every new Intercom conversation fires a webhook. The agent reads the first message, classifies the intent, and posts a clean summary to your support WhatsApp group in seconds.
Daily Intercom Conversation Digest
Every morning the agent pulls yesterday's conversation stats by inbox and teammate from the Intercom API and delivers a clean summary on WhatsApp — volume, median reply time, and CSAT.
Response Time Monitoring with Escalation
A cron job every 10 minutes scans all open Intercom conversations. If any sit unreplied past your target SLA, the agent pings the assigned teammate on WhatsApp and escalates to the lead if ignored.
Customer Health Alerts from CSAT and Sentiment
The agent watches every CSAT reply and conversation closing in Intercom, scores sentiment, and flags any unhappy customer with a plan value over $500/mo to WhatsApp for a personal save-play.
Automated Lead Qualifying in Intercom
When a new visitor starts a chat, the agent asks a few qualifying questions, enriches the contact, tags them by use case and company size, and routes hot leads to a sales teammate.
Deploy this in minutes
Create a LunoGen agent, connect Intercom, and start running this workflow from WhatsApp today.