GHL: AI Inbox Zero + Intelligent Triage & Dynamic Nurture System
GoHighLevel Developer – AI Inbox Zero + Intelligent Triage & Dynamic Nurture System
You can view the SOP info here:
https://www.loom.com/share/7e3ec83ef7f6482496f4d0a8dfce7bd0
Project Overview
We are an agency-level GoHighLevel reseller building a scalable, white-label AI Inbox Zero system. We will use this for our own business – but the system will need to be scalable to be easily replicable on reseller accounts.
The objective is to create an AI-powered triage and follow-up engine inside GoHighLevel that:
- Classifies inbound emails/SMS/social messages
- Routes conversations to the correct agent or automation
- Drafts intelligent replies
- Runs dynamic, AI-personalized nurture sequences
- Escalates to humans when required
- Works across multiple sub-accounts (replicable for clients)
This is a complex, multi-agent system — not a basic workflow build.
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Core Functionality
1️⃣ AI Triage (Inbox Zero Engine)
When a message is received inside GHL:
- AI analyzes conversation history + CRM data
- Categorizes inquiry into:
- Sales inquiry
- Quote / product question
- Appointment request
- Customer service
- Escalation required
- Applies tags and updates pipeline stage
- Routes to correct internal agent or workflow
- Option to auto-draft a reply for review
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2️⃣ Intelligent Agent Routing
System must support multiple “agent roles”:
- Sales Agent
- Appointment Setter
- Customer Service
- Escalation / Human Review
AI determines who handles the conversation and either:
- Responds automatically
- Assigns to a human with AI-generated draft
- Triggers nurture sequence
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3️⃣ Dynamic AI-Personalized Nurture Sequences
This is a key requirement.
Standard GoHighLevel automations are static. We need:
- Timed follow-up sequences (Day 0, Day 1, Day 3, Week 1, Week 2, Month 1)
- Automation controls timing
- AI dynamically generates each outgoing message
Each message must:
- Reference specific products discussed
- Reference colours, styles, quantities, pricing discussed
- Reference samples sent
- Adapt based on prior replies
- Feel conversational and human
- Never send generic templated follow-ups
Example:
Instead of:
“Just following up on your inquiry.”
It should generate:
“Just checking in about the black and gold letterpress pocket invitations you loved last week — are you still leaning toward that colour scheme?”
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4️⃣ Conversational Continuity
If the lead replies mid-sequence:
- AI re-analyzes conversation
- Adjusts messaging dynamically
- Stops or modifies nurture sequence if needed
- Escalates to human when confidence threshold is low
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Technical Requirements
- Strong GoHighLevel API experience
- Advanced workflow logic + conditional triggers
- AI integration (Claude preferred)
- Ability to pass full conversation history into AI context
- Secure CRM data handling
- Ability to create reusable, scalable system across sub-accounts
- Clean logging + visibility inside GHL
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Complexity Level
This is a multi-layered AI system involving:
- Intent detection
- Agent routing logic
- Dynamic message generation
- Workflow timing control
- Human-in-the-loop escalation
- White-label scalability
Please apply only if experienced with advanced AI + CRM automation builds.
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To Apply
Please include:
- Examples of advanced GHL builds
- Experience with AI conversational systems
- Suggested architecture approach
- Estimated timeline
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