Patrick Banjo
00TriggerBuild 06 of 30

Voice agents · Insurance agency

AI Cold Calling System for Insurance Agencies

An outbound AI calling system that works through insurance lead lists, qualifies interest and hands warm prospects to licensed agents.

AI Cold Calling System for Insurance Agencies: the apps connected in this build

Stack

  • Vapi
  • n8n
  • OpenAI
  • Twilio
  1. 01 · n8nApproved lead list
  2. 02 · TwilioCompliant call window
  3. 03 · VapiVoice conversation
  4. 04 · OpenAIQualify and summarise
  5. 05 · n8nWarm handoff
01InputThe problem

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.

02ReadDiscovery

Discovery

Before building, I mapped:

  1. Q1Compliance rules for calling hours, consent and do-not-call lists
  2. Q2The qualifying questions an agent needs before quoting
  3. Q3How and when a warm prospect should be handed over
03RouterThe idea

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.

04IteratorHow it runs

How it runs

  1. Step 1

    n8n loads approved leads and checks them against do-not-call and time-zone rules.

  2. Step 2

    Twilio places calls only inside allowed hours.

  3. Step 3

    The Vapi agent introduces itself honestly as an assistant and asks the qualifying questions.

  4. Step 4

    Interested prospects are summarised and booked or transferred to a licensed agent.

05OutputHandover

What the client got

  • Voice agent and compliance script
  • n8n calling workflows
  • Call outcome dashboard
  • Escalation rules
06RouteNext build

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07ActionBook a call

Hand 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.