Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail

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1. Workflow Overview

How It Works This workflow automates end to end AI driven content moderation for platforms managing user generated content, including marketplaces, communities, and enterprise systems. It is design...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.agenttool, n8n-nodes-base.datatable

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail
Workflow name: Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail

How It Works

This workflow automates end-to-end AI-driven content moderation for platforms managing user-generated content, including marketplaces, communities, and enterprise systems. It is designed for product, trust & safety, and governance teams seeking scalable, policy-aligned enforcement without subjective scoring. The workflow validates structured review, goal, and feedback data using a Performance Signal Agent that standardizes moderation signals and removes ambiguity. A Governance Agent then orchestrates policy enforcement, eligibility checks, escalation logic, and audit preparation. Content enters via webhook, is classified, validated, and routed by action type (approve, flag, escalate). Enforcement logic determines whether to store clean content, flag violations, or trigger escalation emails and team notifications. All actions are logged for traceability and compliance. This template solves inconsistent moderation decisions, lack of structured governance controls, and manual escalation overhead by embedding deterministic checkpoints, structured outputs, and audit-ready logging into a single automated pipeline.

Setup Steps

Connect OpenAI API credentials for AI agents.
Configure Google Sheets or database for logging.
Connect Gmail for escalation emails.
Define moderation policies and routing rules.
Activate webhook and test sample content.

Prerequisites

n8n account, OpenAI API key, Google Sheets or DB access, Gmail credentials, defined moderation policies.

Use Cases

Marketplace listing moderation, enterprise HR review screening

Customization

Adjust policy rules, add risk scoring, integrate Slack instead of Gmail

Benefits

Improves moderation accuracy, reduces manual review, enforces governance consistency

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Content Moderation Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 2 - Workflow Configuration

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Content Signal Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 4 - OpenAI Model - Content Signal

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 5 - Structured Output - Content Signal

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 6 - Route by Validation Status

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.4

Block 7 - Governance Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 8 - OpenAI Model - Governance

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 9 - Structured Output - Governance

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 10 - Review Agent Tool

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 11 - OpenAI Model - Review Tool

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 12 - Structured Output - Review Tool

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 13 - Appeals Agent Tool

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 14 - OpenAI Model - Appeals Tool

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 15 - Structured Output - Appeals Tool

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 16 - Enforcement Agent Tool

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 17 - OpenAI Model - Enforcement Tool

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 18 - Structured Output - Enforcement Tool

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 19 - Route by Action Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.4

Block 20 - Store Valid Content

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 21 - Store Flagged Content

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 22 - Store Enforcement Actions

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 23 - Check Escalation Required

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 24 - Notify Moderation Team

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail
Complexity	advanced
Nodes	35
Categories	Document Extraction, AI Summarization
Author	Cheng Siong Chin
Published	17 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13447/13447.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.switch @n8n/n8n-nodes-langchain.agenttool n8n-nodes-base.datatable

Complexity

advanced

Published 17 Feb 2026

Likes 0

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Install path: /data/workflows/13447/13447.json

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Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How It Works

Setup Steps

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Content Moderation Webhook

Block 2 - Workflow Configuration

Block 3 - Content Signal Agent

Block 4 - OpenAI Model - Content Signal

Block 5 - Structured Output - Content Signal

Block 6 - Route by Validation Status

Block 7 - Governance Agent

Block 8 - OpenAI Model - Governance

Block 9 - Structured Output - Governance

Block 10 - Review Agent Tool

Block 11 - OpenAI Model - Review Tool

Block 12 - Structured Output - Review Tool

Block 13 - Appeals Agent Tool

Block 14 - OpenAI Model - Appeals Tool

Block 15 - Structured Output - Appeals Tool

Block 16 - Enforcement Agent Tool

Block 17 - OpenAI Model - Enforcement Tool

Block 18 - Structured Output - Enforcement Tool

Block 19 - Route by Action Type

Block 20 - Store Valid Content

Block 21 - Store Flagged Content

Block 22 - Store Enforcement Actions

Block 23 - Check Escalation Required

Block 24 - Notify Moderation Team

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions