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.
Conversation example
New visitor chat. Asking qualifying questions...
Lead qualified — conversation 59102 Contact: Amir Haddad (amir@helios.dev) Company: Helios (enriched: Series A, 32 employees) Use case: 'Automate support on WhatsApp for 800+ daily chats' Timeline: 'This month' Budget signal: evaluated 3 competitors Score: 87/100 — HOT Tags applied: lead, hot, whatsapp-use-case, series-a Routed to: @rivka (AE) on Sales team Pinged Rivka on WhatsApp. She's on deck.
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.
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.
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.
Deploy this in minutes
Create a LunoGen agent, connect Intercom, and start running this workflow from WhatsApp today.