Voice agents · Insurance agency
AI Cold Calling System for Insurance Agencies
Stack
- Vapi
- n8n
- OpenAI
- Twilio
- 01 · n8nApproved lead list
- 02 · TwilioCompliant call window
- 03 · VapiVoice conversation
- 04 · OpenAIQualify and summarise
- 05 · n8nWarm handoff
The problem
Agents burned hours dialling lists to reach a handful of interested people. Most calls were voicemail or a quick no, and the good conversations got the least time.
Discovery
Before building, I mapped:
- Q1Compliance rules for calling hours, consent and do-not-call lists
- Q2The qualifying questions an agent needs before quoting
- Q3How and when a warm prospect should be handed over
The idea
Let a voice agent do the first touch within the rules, ask the qualifying questions, and pass only interested people to a human with notes. Agents spend their time on quotes, not dialling.
How it runs
- Step 1
n8n loads approved leads and checks them against do-not-call and time-zone rules.
- Step 2
Twilio places calls only inside allowed hours.
- Step 3
The Vapi agent introduces itself honestly as an assistant and asks the qualifying questions.
- Step 4
Interested prospects are summarised and booked or transferred to a licensed agent.
What the client got
- Voice agent and compliance script
- n8n calling workflows
- Call outcome dashboard
- Escalation rules
Next build
Next build · Workflow automationAI Content Repurposing Automation for CreatorsHand me the busywork.
An automation, a GoHighLevel setup, an AI agent, a connected system or a batch of AI ads. Tell me what slows you down and I will tell you how I would fix it.
