Case Study

AI Voice Calls → Qualified Leads

An n8n automation that turns AI voice-agent call data into qualified CRM leads — a post-call webhook (Retell AI / Vapi) sends the transcript to OpenAI, which extracts qualification, intent, sentiment, summary, and next action as structured JSON; an IF branch then routes and tags each caller (voice-qualified / voice-followup) in the CRM automatically.

01Problem

Call transcripts from the voice agent sit unread. Someone has to listen to or read each one to decide who is a real lead.

02Solution

A post-call webhook from Retell AI or Vapi sends the transcript to OpenAI, which returns qualification, intent, sentiment, summary and next action as structured JSON. A branch then tags the caller voice-qualified or voice-followup in the CRM.

03Tools

n8nOpenAIRetell AIVapiGoHighLevel

04Outcome

~13 hrsof call review saved each month
~1 minfrom hang-up to a tagged lead
100%of calls analyzed and routed

At about 200 calls a month and 4 minutes to review each.