Manage AWS S3 with GPT-4 agent and Google Sheets audit logging via Slack

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Powered AWS S3 Manager with Audit Logging in n8n (Slack/ChatOps Workflow) This n8n workflow empowers users to manage AWS S3 buckets and files using natural language via Slack or chat platfo...

Best for

AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.awss3tool, n8n-nodes-base.googlesheetstool, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Trung Tran.

Original n8n.io source

1.1 Workflow description

Title: Manage AWS S3 with GPT-4 agent and Google Sheets audit logging via Slack
Workflow name: Manage AWS S3 with GPT-4 agent and Google Sheets audit logging via Slack

AI-Powered AWS S3 Manager with Audit Logging in n8n (Slack/ChatOps Workflow)

> This n8n workflow empowers users to manage AWS S3 buckets and files using natural language via Slack or chat platforms. Equipped with an OpenAI-powered Agent and integrated audit logging to Google Sheets, it supports operations like listing buckets, copying/deleting files, managing folders, and automatically records every action for compliance and traceability.

👥 Who’s it for

This workflow is built for:

DevOps engineers who want to manage AWS S3 using natural chat commands.
Technical support teams interacting with AWS via Slack, Telegram, etc.
Automation engineers building ChatOps tools.
Organizations that require audit logs for every cloud operation.

Users don’t need AWS Console or CLI access — just send a message like “Copy file from dev to prod”.

⚙️ How it works / What it does

This workflow turns natural chat input into automated AWS S3 actions using an OpenAI-powered AI Agent in n8n.

🔁 Workflow Overview:

Trigger: A user sends a message in Slack, Telegram, etc.
AI Agent:
- Interprets the message
- Calls one of 6 S3 tools:
  - ListBuckets
  - ListObjects
  - CopyObject
  - DeleteObject
  - ListFolders
  - CreateFolder
S3 Action: Performs the requested AWS S3 operation.
Audit Log: Logs the tool call to Google Sheets using AddAuditLog:
- Includes timestamp, tool used, parameters, prompt, reasoning, and user info.

🛠️ How to set up

Step-by-step Setup:

Webhook Trigger
- Slack, Telegram, or custom chat platform → connects to n8n.
OpenAI Agent
- Model: gpt-4 or gpt-3.5-turbo
- Memory: Simple Memory Node
- Prompt: Instructs agent to always follow tool calls with an AddAuditLog call.
AWS S3 Nodes
- Configure each tool with AWS credentials.
- Tools:
  - getAll: bucket
  - getAll: file
  - copy: file
  - delete: file
  - getAll: folder
  - create: folder
Google Sheets Node
- Sheet: AWS S3 Audit Logs
- Operation: Append or Update Row
- Columns (must match input keys):
  - timestamp, tool, status, chat_prompt, parameters, user_name, tool_call_reasoning
Agent Tool Definitions
- Include AddAuditLog as a 7th tool.
- Agent calls it immediately after every S3 action (except when logging itself).

✅ Requirements

n8n instance with AI Agent feature
OpenAI API Key
AWS IAM user with S3 access
Google Sheet with required columns
Chat integration (Slack, Telegram, etc.)

🧩 How to customize the workflow

Feature	Customization Tip
🌎 Multi-region S3	Let users include region in the message or agent memory
🛡️ Restricted actions	Use memory/user ID to limit delete/copy actions
📁 Folder filtering	Extend `ListObjects` with prefix/suffix filters
📤 Upload file	Add `PutObject` with pre-signed URL support
🧾 Extra logging	Add IP, latency, error trace to audit logs
📊 Reporting	Link Google Sheet to Looker Studio for audit dashboards
🚨 Security alerts	Notify via Slack/Email when `DeleteObject` is triggered

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 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 2 - Simple Memory

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

Block 3 - AWS S3 Manager Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 4 - When chat message received

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

Block 5 - Get many buckets in AWS S3

Type / Role: n8n-nodes-base.awsS3Tool - awsS3Tool
Config choices: Version 2

Block 6 - Get many files in AWS S3

Type / Role: n8n-nodes-base.awsS3Tool - awsS3Tool
Config choices: Version 2

Block 7 - Copy a file in AWS S3

Type / Role: n8n-nodes-base.awsS3Tool - awsS3Tool
Config choices: Version 2

Block 8 - Delete a file in AWS S3

Type / Role: n8n-nodes-base.awsS3Tool - awsS3Tool
Config choices: Version 2

Block 9 - Get many folders in AWS S3

Type / Role: n8n-nodes-base.awsS3Tool - awsS3Tool
Config choices: Version 2

Block 10 - Create a folder in AWS S3

Type / Role: n8n-nodes-base.awsS3Tool - awsS3Tool
Config choices: Version 2

Block 11 - Append or update row in sheet in Google Sheets

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.7

Block 12 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Manage AWS S3 with GPT-4 agent and Google Sheets audit logging via Slack
Complexity	advanced
Nodes	16
Categories	AI Chatbot
Author	Trung Tran
Published	15 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8586/8586.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 AI Chatbot workflows

Frequently asked questions

What does Manage AWS S3 with GPT-4 agent and Google Sheets audit logging via Slack do?

AI Powered AWS S3 Manager with Audit Logging in n8n (Slack/ChatOps Workflow) This n8n workflow empowers users to manage AWS S3 buckets and files using natural language via Slack or chat platfo...

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 AI Chatbot use case.

Trung Tran

35 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.awss3tool n8n-nodes-base.googlesheetstool n8n-nodes-base.stickynote

Complexity

advanced

Published 15 Sept 2025

Likes 0

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Install path: /data/workflows/8586/8586.json

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Manage AWS S3 with GPT-4 agent and Google Sheets audit logging via Slack

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI-Powered AWS S3 Manager with Audit Logging in n8n (Slack/ChatOps Workflow)

👥 Who’s it for

⚙️ How it works / What it does

🔁 Workflow Overview:

🛠️ How to set up

Step-by-step Setup:

✅ Requirements

🧩 How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - Simple Memory

Block 3 - AWS S3 Manager Agent

Block 4 - When chat message received

Block 5 - Get many buckets in AWS S3

Block 6 - Get many files in AWS S3

Block 7 - Copy a file in AWS S3

Block 8 - Delete a file in AWS S3

Block 9 - Get many folders in AWS S3

Block 10 - Create a folder in AWS S3

Block 11 - Append or update row in sheet in Google Sheets

Block 12 - Sticky Note

Block 13 - Sticky Note1

Block 14 - Sticky Note2

Block 15 - Sticky Note3

Block 16 - Sticky Note4

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