If you've ever wished you could run your entire outbound engine on autopilot, this guide is for you. Imagine finding leads, writing personalized messages, handling replies, and even calling prospects the moment they say "I'm interested." That's exactly the system we're building here.

In my latest video, I show how to build a three-channel AI outbound system that connects email, LinkedIn, and voice into one seamless engine. The stack includes Victoria AI for multichannel outreach and auto-replies, VAPI for AI voice calls, and Make.com for automation logic.

The Idea: Turning Outbound Into a Self-Running Machine

Traditional outbound is slow. You research each lead, write a few custom messages, and hope something lands. With AI, every step can be automated without losing personalization.

Here's the idea: Victoria AI sends automated LinkedIn and email outreach, each message personalized with live research pulled from a lead's website and LinkedIn profile. When someone responds positively, VAPI instantly calls them with an AI voice agent that qualifies and books a meeting. Make.com connects it all together—it listens for replies, waits a moment, then triggers the call and passes context to the agent.

The result is a self-running SDR that handles prospecting, messaging, and follow-up at scale.

Inside the Build: From Cold Lead to Booked Call

The build begins inside Victoria AI. Start by uploading a CSV from Apollo containing names, company info, emails, LinkedIn URLs, websites, and phone numbers. Those website and LinkedIn fields are critical because the AI uses them to generate personalized research.

Next, create two AI research fields—Icebreaker and Pain Point. The icebreaker gives you a warm, human opener, while the pain point identifies a believable business challenge your product can solve.

Step 1: Upload and Map Your Lead List

Inside Victoria AI, create a new campaign and connect both your email and LinkedIn accounts. Once connected, upload your CSV and map your fields carefully.

You'll need columns for:

  • First name and last name
  • Company name
  • Company website
  • Email
  • LinkedIn URL
  • Phone number

Step 2: Add AI Personalization Fields

In AI Personalization Fields, add two new custom fields and check both "Read website" and "Read LinkedIn profile."

For the Icebreaker field, instruct:

"Research this lead and their company. Write a short, specific icebreaker that references something recent or notable. Keep it one sentence and avoid flattery."

For the Pain Point field, write:

"Research this lead and infer one realistic client acquisition issue they face. Output one short sentence that sounds natural and specific."

Step 3: Build the Conditional Sequence

Now you can craft your outreach flow.

Start with a LinkedIn connection request. After three days, if the person accepts, send them your first message:

LinkedIn Message 1

Hi {{first_name}}, {{icebreaker}}

Noticed {{company_name}} might be {{painpoint}}. We built an AI SDR that automates sourcing, personalization, and outreach so you can fill your pipeline without extra headcount. Can I show you a quick demo?

Step 4: Turn On the AI Autoresponder

Once your sequence is live, navigate to Responses → AI Responder.

Set your primary goal to "Book a meeting," paste in your Calendly link, and write a short description of your product.

Step 5: Build the Voice Agent in VAPI

In VAPI, create a new voice agent. I named mine Paige. Her purpose is to call warm leads who've already replied and help them book a meeting quickly.

Step 6: Connect Victoria AI to Make.com

Go to Responses → Response Hook inside Victoria AI and enable the webhook. Paste your Make webhook URL and send a test.

Step 7: Build the Scenario in Make

In Make, build a simple three-step flow.

First, add a Webhook module to catch the incoming data from Victoria AI. Then, insert a Sleep module to wait about 60 seconds, making the call feel organic. Finally, use an HTTP module to send the API request to VAPI.

Bringing It All Together

After setting everything up, test your flow end to end. Add a few dummy leads, simulate replies, and verify that the AI handles each step perfectly—from personalized outreach to voice call.

Why It Works

Manually coordinating outreach, follow-ups, and calls is time-consuming and inconsistent. This system gives you personalization at scale, multichannel outreach that adapts to each prospect, AI-managed replies that drive toward meetings, and real voice follow-ups that convert faster.

Wrapping Up

This system brings together everything we've been building inside Victoria AI—automated prospecting, intelligent outreach, conversational autoresponders, and real-time voice follow-ups.

📘 Take the free course: AI Outbound 101 on Skool
🚀 Start booking meetings automatically: Victoria AI