Currently, customers have to work around this by creating an AI Action that triggers on every message to schedule follow-ups (see: Follow_Up_Bot workflow pattern). This approach has several limitations:

Inefficient - The action fires on every single message, even when the conversation is actively ongoing

No true "conversation went cold" detection - It's just a timed delay from the last message, not intelligent detection of disengagement

Complex setup - Requires building a full workflow with delays, working hours checks, and conditional logic

What we need:

Native AI capability to detect when a conversation has gone inactive/cold (configurable inactivity threshold, e.g., 20 mins, 1 hour, 24 hours)

AI autonomously sends a contextually relevant follow-up without requiring a trigger on every message

Respects working hours automatically

Different follow-up strategies based on conversation stage (e.g., prospect vs. existing customer)

Use case: Health/wellness businesses like Earlyfit want to nurture leads who went quiet after initial interest, without spamming active conversations.