Building an AI Voice Agent Pipeline with n8n — Analyze Calls, Score Leads, Alert in Real-Time

Voice AI is having a moment. Upwork reported a +329% year-over-year surge in voice agent project postings in early 2026. But here's what most tutorials miss: the call itself is only half the story. What happens after the call — extracting intent, scoring the lead, alerting your sales team, logging to CRM — that's where the business value actually lives. This article walks through a production-grade post-call intelligence pipeline built entirely with n8n. No custom infrastructure, no glue code — just a workflow you can import and activate in minutes. The Architecture The pipeline connects five stages in a single n8n workflow: [Vapi / Retell / Synthflow] ↓ webhook (call ended event) [n8n Webhook Node] ↓ raw transcript + metadata [AI Analysis Node — DeepSeek/OpenAI] ↓ structured JSON: intent, score, sentiment [IF Node — leadScore >= 7 AND qualifiedLead = true] ↓ YES ↓ NO [Slack Alert] [Low-priority log] ↓ [Google Sheets — CRM Log] Compatible voice platforms: Vapi, Retell AI, Synthflow, Bl