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

Apply Now

Apply Now