GoHighLevel + AI Developer Needed to Build “AI Roofing Super Employee”
Project Overview
We are building Stage 2 of an advanced AI-driven automation system fully integrated with GoHighLevel (GHL).
Stage 1 (AI Receptionist) is already complete.
Stage 2 turns the system into a full-cycle AI worker that runs the entire roofing revenue operation inside GHL.
This is not a chatbot project.
This is an AI SDR + Sales Assistant + Estimator + CRM Manager, working continuously to move leads from first contact to close — while giving owners and managers complete pipeline visibility.
We are looking for a developer who understands automation as a system, not just isolated workflows.
What You Will Be Building
The AI Roofing Super Employee operates across the full sales and operations lifecycle:
Cold outbound and lead qualification
Appointment booking and follow-up
Sales meeting transcription and note-taking
On-roof inspection support using phone camera and voice
Estimate and proposal generation
CRM updates, task creation, and pipeline movement
Owner and manager dashboards with real-time visibility
Each phase feeds the next automatically inside GoHighLevel.
Core Responsibilities
Outbound, Qualification & Appointment Setting
You will build a multichannel outbound engine inside GHL that:
Pulls leads from Smart Lists or pipeline stages
Automatically performs calls, SMS, and email outreach
Uses AI logic to decide who to contact, via which channel, and when to stop
Qualifies leads using roofing-specific scripts (roof issues, urgency, insurance, decision-maker status, property and roof type)
Handles common roofing objections with approved rebuttals
Books appointments directly into GHL calendars
Sends confirmations, reminders, and reschedules automatically
All interactions must update pipelines, tags, and custom fields so owners always know where every lead stands.
Meeting Copilot & Note-Taking
You will implement a meeting assistant that:
Transcribes sales calls or in-person meeting recordings
Produces clean summaries, discovery notes, objections, and next steps
Extracts structured CRM data such as roof size mentions, materials, preferences, insurance status, and readiness to decide
Automatically creates follow-up tasks with owners and due dates
Updates pipeline stages based on meeting outcomes
The goal is zero manual note-taking for sales reps.
On-Roof Camera + Voice Inspection Support
This is a key differentiator of Stage 2.
While a sales rep or inspector is on the roof using a smartphone:
The rep speaks naturally while recording photos or video
The AI captures voice notes and visual evidence
Spoken observations are transcribed into structured damage notes
Images and clips are tagged by roof section and damage category
Damage types include hail impact, wind-lifted shingles, granule loss, cracked shingles, flashing or vent issues, and exposed decking indicators.
The AI assists and documents — final decisions remain human-approved.
Estimates, Proposals & CRM Control
Using inspection notes, measurements, damage classifications, and pricing rules, the system will:
Draft scopes of work
Build line-item estimates (materials, labor, tear-off, disposal, add-ons)
Generate insurance-friendly proposal language
Deliver proposals via GHL email, PDF documents, or GHL funnels
Track proposal status and create follow-ups automatically
All notes, media, documents, and tasks must be saved and linked to the correct opportunity.
Owner & Manager Visibility
A non-negotiable outcome of this project is total pipeline transparency.
Dashboards must clearly show:
Leads → Appointments → Estimates → Closed funnel
Where every lead sits
What action is blocking the next step
Overdue tasks by rep
Objection trends
Conversion rates per stage
AI-influenced revenue activity
No guessing. No hidden bottlenecks.
Core vs Pro Scope
Super Employee Core
Cold outbound from lead lists
Qualification and appointment booking
CRM hygiene (tags, stages, custom fields)
Reactivation and follow-up logic
Calendar gap filling
Basic dashboards
Bilingual support (English / Spanish)
Positioning:
Your full-time AI SDR team inside GoHighLevel.
Super Employee Pro
Everything in Core, plus:
Meeting copilot and note-taker
On-roof voice and camera inspection support
Estimate and proposal drafting
Task automation and deal movement
Insurance support documentation
Mobile-friendly workflows for field reps
Advanced owner and manager dashboards
Rep coaching insights and objection tracking
Positioning:
An AI department that runs the entire roofing revenue operation.
Tech Stack
GoHighLevel (workflows, pipelines, fields, calendars, dashboards)
OpenAI (text and audio for logic and transcription)
GHL Phone or Twilio
Automation tools: n8n (preferred), Make, or Zapier
Optional document tools: PandaDoc, SignNow, or DocuSign
File storage: Google Drive or Dropbox
What We Expect From You
We are not looking for someone who blindly follows instructions.
We want a developer who:
Thinks in systems, not just automations
Challenges assumptions and suggests improvements
Simplifies workflows while improving reliability
Designs clean, modular, maintainable logic
Communicates clearly and documents decisions
Treats this as a product, not a one-off task
Ideal Candidate
Strong GoHighLevel automation experience
Proven AI agent or AI workflow development
Experience with Twilio or GHL Phone
Comfortable with structured JSON outputs
Experience building call, SMS, and email AI agents
n8n experience strongly preferred (or Make/Zapier)
Able to deliver stable, production-ready work
How to Apply
Please include:
A brief summary of your relevant experience
Examples or demos of similar AI or GHL projects
Your experience with OpenAI, GHL, and Twilio
Your preferred automation tool (n8n, Make, Zapier)
Your fixed-price estimate
Your availability and estimated timeline
Required question:
If you were responsible for improving this AI Roofing Super Employee beyond the initial scope, what would you change, simplify, or enhance — and why?
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