Ai-powered email inbox manager with GPT-4, Gmail, and Slack integration
Email Inbox Manager System
Categories
-
Email Automation
-
AI-Powered Operations
-
Internal Productivity Tools
This workflow builds a fully automated AI-powered email categorization and response assistant. It intelligently processes, categorizes, labels, and drafts replies to incoming Gmail messages in real time using AI with zero manual involvement. Perfect for support, sales, finance, and internal operations.
Benefits
-
Automated Email Triage – Every unread email is instantly read, analyzed, and classified
-
AI-Powered Categorization – Uses GPT-4 to understand content and apply correct labels
-
Smart Response Generation – Automatically drafts accurate replies based on category
-
Slack Notifications – Instantly notifies your team about internal or sales-related messages
-
Seamless Gmail Integration – Labels, drafts, and marks emails directly in your inbox
-
Custom Classification Rules – Tailored to internal, support, sales, finance, and promotional needs
How It Works
Gmail Trigger:
-
Monitors Gmail inbox in real-time for new unread messages
-
Triggers the workflow every minute with no need for manual refresh
Smart Classification:
-
Feeds email body to AI-powered Text Classifier
-
Categories include: Internal, Customer Support, Promotions, Admin/Finance, and Sales Opportunity
-
Classification based on sender domain, keywords, and context
AI-Based Labeling:
-
Applies appropriate Gmail label based on classification result
-
Helps keep inbox clean, organized, and easily searchable
AI Reply Generation:
-
Specialized GPT-4 agents generate replies tailored to each category:
-
Internal: Polished team replies
-
Customer Support: Clear and professional customer responses
-
Promotions: Summarizes and evaluates promotional value
-
Admin/Finance: Extracts invoice/payment information
-
Sales Opportunity: Drafts personalized replies and sales notifications
Auto-Drafting + Slack Alerts:
-
Replies are saved as Gmail drafts, ready for review or direct send
-
Sends Slack notifications for Internal or Sales Opportunities
-
Includes subject lines and quick message previews
Smart Decision-Making:
-
Promotional emails are evaluated with AI for usefulness
-
Only valuable offers are flagged or responded to
-
Automatically marks emails as read after processing
Business Use Cases
-
Customer Support Teams – Automatically categorize and prep replies to client messages
-
Sales Reps – Instantly receive drafted responses to new inquiries
-
Operations Managers – Keep internal comms clear and responsive
-
Finance Departments – Auto-extract and review payment/invoice messages
-
Founders – Never miss an important email while your AI sorts and replies for you
Difficulty Level: Intermediate Estimated Build Time: 2–4 hours
Monthly Operating Cost: $20–80 (depending on OpenAI usage and Slack volume)
Required Setup
- Gmail Integration
- Set up Gmail OAuth2 connection
- Create labels: Internal, Customer Support, Promotions, Admin/Finance, Sales Opportunity
- OpenAI Integration
- Connect GPT-4 or GPT-4o account
- Configure role-based prompts for each email category
- Output structured response data (subject, body, notification)
- Slack Integration
- Set up Slack OAuth2 connection
- Configure target Slack channel
Notify team when important categories are triggered
System Architecture
The workflow follows a powerful 6-stage automation:
Trigger – Poll Gmail for new unread emails
Classify – AI categorizes the email into the right bucket
Label – Applies Gmail label for search and visibility
Generate Reply – GPT-4 crafts draft email reply
Draft Email – Saves response in Gmail
Notify – Optional Slack message alerts for priority emails
Why This System Works
Inbox Clarity – Keeps your inbox categorized and organized
Human Quality Replies – AI-generated messages sound professional and personalized
Time-Saving Automation – Handles support, sales, internal ops, and finance without touching your inbox
Multi-Agent Architecture – Each email type is handled by a specialized GPT-4 prompt
Real Time Reactions – From email receipt to Slack notification in under a minute
AI-Powered Email Inbox Manager with GPT-4, Gmail, and Slack Integration
This n8n workflow automates the process of managing your email inbox by leveraging AI to classify incoming emails and notify you on Slack for urgent or important messages. It helps you prioritize your inbox, ensuring you don't miss critical communications.
What it does
- Monitors Gmail: Continuously checks your specified Gmail inbox for new emails.
- Classifies Emails with AI: Uses an OpenAI Chat Model and a Text Classifier to analyze the content of each new email and categorize it (e.g., "Urgent", "Important", "General").
- Conditional Routing: Evaluates the AI's classification.
- Sends Slack Notifications: If an email is classified as "Urgent" or "Important", it sends a notification to a designated Slack channel, including key details of the email.
- Handles Other Emails: Emails not classified as urgent or important are processed (or ignored) through a separate branch, allowing for further customization if needed.
Prerequisites/Requirements
- n8n Instance: A running n8n instance.
- Gmail Account: A Gmail account configured as a credential in n8n for the "Gmail Trigger" and "Gmail" nodes.
- OpenAI API Key: An OpenAI API key configured as a credential in n8n for the "OpenAI Chat Model" and "OpenAI" nodes.
- Slack Account: A Slack account configured as a credential in n8n for the "Slack" node.
Setup/Usage
- Import the Workflow:
- Download the workflow JSON provided.
- In your n8n instance, click "New" -> "Import from JSON" and paste the workflow JSON.
- Configure Credentials:
- Gmail Trigger & Gmail Node: Set up your Google OAuth2 credentials for Gmail.
- OpenAI Chat Model & OpenAI Node: Set up your OpenAI API Key credentials.
- Slack Node: Set up your Slack API credentials.
- Customize AI Classification (Optional but Recommended):
- Open the "Text Classifier" node. You will likely need to define the categories you want the AI to use (e.g., "Urgent", "Important", "General", "Spam", "Marketing").
- Adjust the prompt in the "OpenAI Chat Model" node if you want to guide the AI on how to classify emails or extract specific information.
- Configure Slack Notifications:
- Open the "Slack" node.
- Specify the Slack channel where you want to receive notifications.
- Customize the message content to include relevant email details (sender, subject, a summary from the AI, etc.).
- Activate the Workflow: Once all credentials and configurations are set, activate the workflow. It will start monitoring your Gmail inbox according to its trigger schedule.
This workflow provides a robust foundation for intelligent email management, reducing manual effort and improving responsiveness to critical communications.
Related Templates
AI-powered code review with linting, red-marked corrections in Google Sheets & Slack
Advanced Code Review Automation (AI + Lint + Slack) Who’s it for For software engineers, QA teams, and tech leads who want to automate intelligent code reviews with both AI-driven suggestions and rule-based linting — all managed in Google Sheets with instant Slack summaries. How it works This workflow performs a two-layer review system: Lint Check: Runs a lightweight static analysis to find common issues (e.g., use of var, console.log, unbalanced braces). AI Review: Sends valid code to Gemini AI, which provides human-like review feedback with severity classification (Critical, Major, Minor) and visual highlights (red/orange tags). Formatter: Combines lint and AI results, calculating an overall score (0–10). Aggregator: Summarizes results for quick comparison. Google Sheets Writer: Appends results to your review log. Slack Notification: Posts a concise summary (e.g., number of issues and average score) to your team’s channel. How to set up Connect Google Sheets and Slack credentials in n8n. Replace placeholders (<YOURSPREADSHEETID>, <YOURSHEETGIDORNAME>, <YOURSLACKCHANNEL_ID>). Adjust the AI review prompt or lint rules as needed. Activate the workflow — reviews will start automatically whenever new code is added to the sheet. Requirements Google Sheets and Slack integrations enabled A configured AI node (Gemini, OpenAI, or compatible) Proper permissions to write to your target Google Sheet How to customize Add more linting rules (naming conventions, spacing, forbidden APIs) Extend the AI prompt for project-specific guidelines Customize the Slack message formatting Export analytics to a dashboard (e.g., Notion or Data Studio) Why it’s valuable This workflow brings realistic, team-oriented AI-assisted code review to n8n — combining the speed of automated linting with the nuance of human-style feedback. It saves time, improves code quality, and keeps your team’s review history transparent and centralized.
Daily cash flow reports with Google Sheets, Slack & Email for finance teams
Simplify financial oversight with this automated n8n workflow. Triggered daily, it fetches cash flow and expense data from a Google Sheet, analyzes inflows and outflows, validates records, and generates a comprehensive daily report. The workflow sends multi-channel notifications via email and Slack, ensuring finance professionals stay updated with real-time financial insights. 💸📧 Key Features Daily automation keeps cash flow tracking current. Analyzes inflows and outflows for actionable insights. Multi-channel alerts enhance team visibility. Logs maintain a detailed record in Google Sheets. Workflow Process The Every Day node triggers a daily check at a set time. Get Cash Flow Data retrieves financial data from a Google Sheet. Analyze Inflows & Outflows processes the data to identify trends and totals. Validate Records ensures all entries are complete and accurate. If records are valid, it branches to: Sends Email Daily Report to finance team members. Send Slack Alert to notify the team instantly. Logs to Sheet appends the summary data to a Google Sheet for tracking. Setup Instructions Import the workflow into n8n and configure Google Sheets OAuth2 for data access. Set the daily trigger time (e.g., 9:00 AM IST) in the "Every Day" node. Test the workflow by adding sample cash flow data and verifying reports. Adjust analysis parameters as needed for specific financial metrics. Prerequisites Google Sheets OAuth2 credentials Gmail API Key for email reports Slack Bot Token (with chat:write permissions) Structured financial data in a Google Sheet Google Sheet Structure: Create a sheet with columns: Date Cash Inflow Cash Outflow Category Notes Updated At Modification Options Customize the "Analyze Inflows & Outflows" node to include custom financial ratios. Adjust the "Validate Records" filter to flag anomalies or missing data. Modify email and Slack templates with branded formatting. Integrate with accounting tools (e.g., Xero) for live data feeds. Set different trigger times to align with your financial review schedule. Discover more workflows – Get in touch with us
Competitor intelligence agent: SERP monitoring + summary with Thordata + OpenAI
Who this is for? This workflow is designed for: Marketing analysts, SEO specialists, and content strategists who want automated intelligence on their online competitors. Growth teams that need quick insights from SERP (Search Engine Results Pages) without manual data scraping. Agencies managing multiple clients’ SEO presence and tracking competitive positioning in real-time. What problem is this workflow solving? Manual competitor research is time-consuming, fragmented, and often lacks actionable insights. This workflow automates the entire process by: Fetching SERP results from multiple search engines (Google, Bing, Yandex, DuckDuckGo) using Thordata’s Scraper API. Using OpenAI GPT-4.1-mini to analyze, summarize, and extract keyword opportunities, topic clusters, and competitor weaknesses. Producing structured, JSON-based insights ready for dashboards or reports. Essentially, it transforms raw SERP data into strategic marketing intelligence — saving hours of research time. What this workflow does Here’s a step-by-step overview of how the workflow operates: Step 1: Manual Trigger Initiates the process on demand when you click “Execute Workflow.” Step 2: Set the Input Query The “Set Input Fields” node defines your search query, such as: > “Top SEO strategies for e-commerce in 2025” Step 3: Multi-Engine SERP Fetching Four HTTP request tools send the query to Thordata Scraper API to retrieve results from: Google Bing Yandex DuckDuckGo Each uses Bearer Authentication configured via “Thordata SERP Bearer Auth Account.” Step 4: AI Agent Processing The LangChain AI Agent orchestrates the data flow, combining inputs and preparing them for structured analysis. Step 5: SEO Analysis The SEO Analyst node (powered by GPT-4.1-mini) parses SERP results into a structured schema, extracting: Competitor domains Page titles & content types Ranking positions Keyword overlaps Traffic share estimations Strengths and weaknesses Step 6: Summarization The Summarize the content node distills complex data into a concise executive summary using GPT-4.1-mini. Step 7: Keyword & Topic Extraction The Keyword and Topic Analysis node extracts: Primary and secondary keywords Topic clusters and content gaps SEO strength scores Competitor insights Step 8: Output Formatting The Structured Output Parser ensures results are clean, validated JSON objects for further integration (e.g., Google Sheets, Notion, or dashboards). Setup Prerequisites n8n Cloud or Self-Hosted instance Thordata Scraper API Key (for SERP data retrieval) OpenAI API Key (for GPT-based reasoning) Setup Steps Add Credentials Go to Credentials → Add New → HTTP Bearer Auth* → Paste your Thordata API token. Add OpenAI API Credentials* for the GPT model. Import the Workflow Copy the provided JSON or upload it into your n8n instance. Set Input In the “Set the Input Fields” node, replace the example query with your desired topic, e.g.: “Google Search for Top SEO strategies for e-commerce in 2025” Execute Click “Execute Workflow” to run the analysis. How to customize this workflow to your needs Modify Search Query Change the search_query variable in the Set Node to any target keyword or topic. Change AI Model In the OpenAI Chat Model nodes, you can switch from gpt-4.1-mini to another model for better quality or lower cost. Extend Analysis Edit the JSON schema in the “Information Extractor” nodes to include: Sentiment analysis of top pages SERP volatility metrics Content freshness indicators Export Results Connect the output to: Google Sheets / Airtable for analytics Notion / Slack for team reporting Webhook / Database for automated storage Summary This workflow creates an AI-powered Competitor Intelligence System inside n8n by blending: Real-time SERP scraping (Thordata) Automated AI reasoning (OpenAI GPT-4.1-mini) Structured data extraction (LangChain Information Extractors)