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Sector
Marketing and real-estate automation
City
Québec
Delivered by
Flowenix, for VirtuaTech
Built with
Claude, ElevenLabs, n8n and GoHighLevel
  • AI voice agent
  • GoHighLevel CRM
  • Post-call analysis
  • Scheduled follow-ups

- 01 · Overview

A real-estate CRM that runs itself

From the ad to the booked appointment, an AI voice agent calls every new lead, qualifies, follows up and updates the pipeline, with no human intervention. One tab per stage.

A simulation with fictional examples (Marc T., Julie R., Sophie L., Paul B.) to show how the agent really behaves. The real numbers (660 leads, 441 Interested) are in the results below, and the real workflows are in the proof section.
InterestedNo answerCallback asked
New leadAd, form or website
AI replies in minutesCall, WhatsApp or SMS
AI reads the exchangeSummary and next step
Pipeline updatesRight stage, right tag
Calls back on timeExactly when asked
Smart follow-upsPolite persistence for 30 days
Team alertedHot lead, SMS sent
CRM pipelineLeads move forward on their own
New8
In AI follow-up64
Interested41
Booked19

- 02 · Real results

The pipeline, with its real numbers

Every figure below comes straight from the production GoHighLevel pipeline. The prospects' names were blurred, not the numbers.

660

Opportunities tracked

In the GoHighLevel pipeline

441

Interested

67% of the pipeline, qualified by the voice agent

215

In AI follow-up

Followed automatically until closed

4

Not Interested

Identified and removed from the pipeline automatically

Real data from VirtuaTech's GoHighLevel pipeline (660 opportunities); prospect names blurred for privacy.

- 03 · The proof

The real workflows, unstaged

Every diagram on this page recreates a real system. Here are the actual n8n workflows behind a lead's entry, as they run in production.

New contact: GoHighLevel webhook, call triggered immediately
Weekly follow-up: finds and calls waiting contacts
Callback: calls back automatically when the prospect asks
The voice agent's qualification script, built in ElevenLabs
Post-call: GPT transcript, GHL update, Drive filing
Routing by call outcome
Automatic one-month follow-up sequence

- 04 · Goal and result

Replace manual callbacks with a real system

Goal

The RE/MAX-affiliated agents VirtuaTech works with were losing leads for lack of time to call every contact back individually, especially those arriving outside office hours. They needed a system that calls, qualifies and follows up without human intervention, while keeping the CRM up to date.

Result

An AI voice agent that calls every new contact or lead to follow up, qualifies their real-estate project, then post-call processing that summarizes the conversation, updates the GoHighLevel pipeline and files the recording, with automatic follow-up scheduled if the prospect does not answer.

Start a pilot on one client.

Start a pilot