Transcript summary with detailed view in custom field
C
Christian Olsson
If transcript of a voice AI call inbound or outbound would get the transcript to a custom field in its full, not as a shorter summary, that field can be used easy in a workflow to add a GPT that clean that transcript and identifying specific data values and set them of to a contact or an opportunity field. That way we would have good chance with the right promoting to collect data in custom fields for each call, like lead qualification questions or status on metrics we advice the voice AI to ask about. Fingers crossed!
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D
David Jaime
Overview
When Voice AI is turned off in Go High Level, missed calls automatically trigger a follow up text message. This works well for lead capture.
However, once Voice AI is enabled, the system no longer considers calls as missed because the AI answers every call. This removes the missed call text safeguard.
The Problem
If a caller connects to Voice AI but does not speak and hangs up, there is currently no follow up action. The system does not treat this as a missed call because technically the AI answered. As a result, we may lose potential leads who are unwilling to interact with AI but might respond to a text message.
This creates a gap in lead recovery.
Proposed Solution
Create an automation trigger that activates when all of the following conditions are met:
A call is answered by Voice AI
The transcript shows no user speech
The caller hangs up without interaction
If the transcript is empty or does not contain a user identified segment, the system should treat this as a silent abandonment event.
Once detected, the automation should automatically send a follow up text message similar to the standard missed call text.
Technical Consideration
The key factor is identifying a reliable trigger. Currently, user speech is labeled in transcripts only when the caller actually speaks. If no speech occurs, that user label does not appear.
There must be some system level indicator that confirms:
The call was connected
Voice AI engaged
No user speech was captured
The call ended
If that state can be detected, it can serve as the automation trigger.
Business Impact
This would close a lead loss gap caused by silent hang ups during AI calls. It allows us to continue the conversation via text and improves overall lead recovery and conversion rates.
This is especially important for lead generation campaigns where every inbound call matters.
J
Joe Habscheid
Or just use the transcript from the phone system, which is available when switched on. That transcript is there right now but can't be used anywhere.