by Intuz
This n8n template from Intuz provides a complete and automated solution for scaling your DevOps practices across multiple repositories. Are you tired of the repetitive dance between git push, creating a pull request in GitHub, updating the corresponding task in JIRA, and then manually notifying your team in Slack, or Notion? This template puts your entire post-commit workflow on autopilot, creating a seamless and intelligent bridge between your code and your project management. By embedding specific keywords and a JIRA issue ID into your git commit commands, this workflow automatically creates a Pull Request in the correct GitHub repository and updates the corresponding JIRA ticket. This creates a complete, centralized system that keeps all your projects synchronized, providing a massive efficiency boost for teams managing a diverse portfolio of codebases. Who This Template Is For? This template is a must-have for any organization looking to streamline its software development lifecycle (SDLC). It’s perfect for: Development Teams: Eliminate tedious, manual tasks and enforce a consistent workflow, allowing developers to stay focused on coding. DevOps Engineers: A ready-to-deploy solution that integrates key developer tools without weeks of custom scripting. Engineering Managers & Team Leads: Gain real-time visibility into development progress and ensure processes are followed without constant check-ins. Project Managers: Get accurate, automatic updates in JIRA the moment development work is completed, improving project tracking and forecasting. Step-by-Step Setup Instructions Follow these steps carefully to configure the workflow for your environment. 1. Connect Your Tools (Credentials) GitHub: Create credentials with repo scope to allow PR creation. JIRA: Create an API token and connect your JIRA Cloud or Server instance. Slack: Connect your Slack workspace using OAuth2. Notion: Connect your Notion integration token. 2. Configure the GitHub Webhook (For Each Repository) This workflow is triggered by a GitHub webhook. You must add it to every repository you want to automate. First, Save and Activate the n8n workflow to ensure the webhook URL is live. In the n8n workflow, copy the Production URL from the Webhook node. Go to your GitHub repository and navigate to Settings > Webhooks > Add webhook. In the Payload URL field, paste the n8n webhook URL. Change the Content type to application/json. Under "Which events would you like to trigger this webhook?", select "Just the push event." Click "Add webhook." Repeat this for all relevant repositories. 3. Configure the JIRA Nodes (Crucial Step) Your JIRA project has unique IDs for its statuses. You must update the workflow to match yours. Find the two JIRA nodes named "Update task status after PR" and "Update the task status without PR." In each node, go to the Status ID field. Click the dropdown and select the status that corresponds to "Done" or "Development Done" in your specific JIRA project workflow. The list is fetched directly from your connected JIRA instance. 4. Configure Notification Nodes Tell the workflow where to send updates. For Slack: Open the two nodes named "Send message in slack..." and select your desired channel from the Channel ID dropdown. For Notion: Open the two nodes named "Append a block in notion..." and paste the URL of the target Notion page or database into the Block ID field. 5. Final Activation Once all configurations are complete, ensure the workflow is Saved and the toggle switch is set to Active. You are now ready to automate! Customization Guidance This template is a powerful foundation. Here’s how you can adapt it to your team's specific needs. 1. Changing the PR Title or Body: Go to the "Request to create PR" (HTTP Request) node. In the JSON Body field, you can edit the title and body expressions. For example, you could add the committer's name ({{$('Webhook').item.json.body.pusher.name }}) or a link back to the JIRA task. 2. Adapting to a Fixed Branching Strategy: If your team always creates pull requests against a single branch (e.g., develop), you can simplify the workflow. In the "Request to create PR" node, change the base value in the JSON body from {{...}} to your static branch name: "base": "develop". You can then remove the base branch logic from the "Commit Message Breakdown" (Code) node. 3. Modifying Notification Messages: The text sent to Slack and Notion is fully customizable. Open any of the Slack or Notion nodes and edit the text fields. You can include any data from previous nodes, such as the PR URL ({{ $('Request to create PR').item.json.body.html_url }}) or the repository name. 4. Adjusting the Commit Regex for Different Conventions: This is an advanced customization. If your team uses a different commit format (e.g., (DEV-123) instead of DEV-123), you can edit the regular expression in the "Commit Message Breakdown" (Code) node. Be sure to test your changes carefully. 5. Adding/Removing Notification Channels: Don't use Notion? Simply delete the two Notion nodes. Want to send an email instead? Add a Gmail or SMTP node in parallel with a Slack node and configure it with the same data. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started
by Ranjan Dailata
Disclaimer Please note - This workflow is only available on n8n self-hosted as it’s making use of the community node for the Decodo Web Scraping This n8n workflow automates the process of scraping, analyzing, and summarizing Amazon product reviews using Decodo’s Amazon Scraper, OpenAI GPT-4.1-mini, and Google Sheets for seamless reporting. It turns messy, unstructured customer feedback into actionable product insights — all without manual review reading. Who this is for This workflow is designed for: E-commerce product managers** who need consolidated insights from hundreds of reviews. Brand analysts and marketing teams** performing sentiment or trend tracking. AI and data engineers** building automated review intelligence pipelines. Sellers and D2C founders** who want to monitor customer satisfaction and pain points. Product researchers** performing market comparison or competitive analysis. What problem this workflow solves Reading and analyzing hundreds or thousands of Amazon reviews manually is inefficient and subjective. This workflow automates the entire process — from data collection to AI summarization — enabling teams to instantly identify customer pain points, trends, and strengths. Specifically, it: Eliminates manual review extraction from product pages. Generates comprehensive and abstract summaries using GPT-4.1-mini. Centralizes structured insights into Google Sheets for visualization or sharing. Helps track product sentiment and emerging issues over time. What this workflow does Here’s a breakdown of the automation process: Set Input Fields Define your Amazon product URL, geo region, and desired file name. Decodo Amazon Scraper Fetches real-time product reviews from the Amazon product page, including star ratings and AI-generated summaries. Extract Reviews Node Extracts raw customer reviews and Decodo’s AI summary into a structured JSON format. Perform Review Analysis (GPT-4.1-mini) Uses OpenAI GPT-4.1-mini to create two key summaries: Comprehensive Review: A detailed summary that captures sentiment, recurring themes, and product pros/cons. Abstract Review: A concise executive summary that captures the overall essence of user feedback. Persist Structured JSON Saves the raw and AI-enriched data to a local file for reference. Append to Google Sheets Uploads both the original reviews and AI summaries into a Google Sheet for ongoing analysis, reporting, or dashboard integration. Outcome: You get a structured, AI-enriched dataset of Amazon product reviews — summarized, searchable, and easy to visualize. Setup Pre-requisite If you are new to Decode, please signup on this link visit.decodo.com Please make sure to install the n8n custom node for Decodo. Step 1 — Import the Workflow Open n8n and import the JSON workflow template. Ensure the following credentials are configured: Decodo Credentials account → Decodo API Key OpenAI account → OpenAI API Key Google Sheets account → Connected via OAuth Step 2 — Input Product Details In the Set node, replace: amazon_url → your product link (e.g., https://www.amazon.com/dp/B0BVM1PSYN) geo → your region (e.g., US, India) file_name → output file name (optional) Step 3 — Connect Google Sheets Link your desired Google Sheet for data storage. Ensure the sheet columns match: product_reviews all_reviews Step 4 — Run the Workflow Click Execute Workflow. Within seconds, your Amazon product reviews will be fetched, summarized by AI, and logged into Google Sheets. How to customize this workflow You can tailor this workflow for different use cases: Add Sentiment Analysis** — Add another GPT node to classify reviews as positive, neutral, or negative. Multi-Language Reviews** — Include a language detection node before summarization. Send Alerts** — Add a Slack or Gmail node to notify when negative sentiment exceeds a threshold. Store in Database** — Replace Google Sheets with MySQL, Postgres, or Notion nodes. Visualization Layer** — Connect your Google Sheet to Looker Studio or Power BI for dynamic dashboards. Alternative AI Models** — Swap GPT-4.1-mini with Gemini 1.5 Pro, Claude 3, or Mistral for experimentation. Summary This workflow transforms the tedious process of reading hundreds of Amazon reviews into a streamlined AI-powered insight engine. By combining Decodo’s scraping precision, OpenAI’s summarization power, and Google Sheets’ accessibility, it enables continuous review monitoring. In one click, it delivers comprehensive and abstract AI summaries, ready for your next product decision meeting or market strategy session.
by Cj Elijah Garay
AI-Powered Discord Task Manager with Priority Intelligence Mission-Aligned Task Tracker: Discord + AI + Google Sheets Opening Summary This n8n template demonstrates how to automate task management by syncing tasks from a Discord channel to Google Sheets, enriching them with AI-driven prioritization, and delivering a daily prioritized digest back to Discord. It streamlines task organization aligned with personal mission and productivity frameworks. Use cases are many: Try managing your team’s project tasks by automatically prioritizing them based on strategic goals! Try personal task tracking with AI-powered prioritization for optimized daily productivity! Try automating follow-ups and completed task archiving seamlessly between Discord and Google Sheets! Good to know Using OpenAI GPT-4.1 and GPT-5 mini models may incur API costs based on usage (check your OpenAI pricing plan). Google Sheets API has rate limits; large task volumes may require batch adjustments to avoid quota errors. Discord API OAuth2 authentication is needed with permissions to read messages, add reactions, and post messages. The workflow requires shared Google Sheets with specific sheets named Tasks and completed tasks (template link provided). Reaction emojis in Discord (✍️ for processed, ✅ for completed) are used to track task status within Discord. AI-driven prioritization follows mission alignment based on Eisenhower Matrix, energy levels, and impact scoring. Uses concepts from: Deep work by Cal Newport Essentialism: The Disciplined Pursuit of Less – Greg McKeown (2014) Getting Results the Agile Way – J.D. Meier Hyperfocus – Chris Bailey (2018) Slow Productivity – Cal Newport (2024) Newport’s newest book. Explicitly about doing fewer things, working at a natural pace, and obsessing over quality—basically Deep Work 2.0 How it works Schedule Trigger fires hourly to initiate task syncing. Set discord IDs here node defines Discord server and channel IDs for input/output. get data - tasks Channel fetches all messages from the Discord input channel. Loop Over Items1 and if message is recorded already prevent reprocessing tasks. clean data prepares message information to uniform structure. ai task organizer node sends each task text to OpenAI GPT-4.1 mini agent, which analyzes and assigns priority, impact, energy level, category, and other metadata aligned to the user's mission. Tasks are appended to Google Sheets Tasks sheet using Append row in task sheet. react to confirm adds a reaction on Discord to mark the message as processed. Get tasks to do retrieves all in-progress tasks from Google Sheets for daily prioritization. Aggregated task data is analyzed by the AI Agent with GPT-5 mini to select top 6 tasks (3 high-energy, 3 low-energy). The daily prioritized list is split into acceptable message sizes and sent back to a Discord output channel by Send a message node. The workflow checks for tasks with ✅ reactions in Discord (get checked ones), updates their status to "Completed" in Google Sheets (Update row in sheet). Completed tasks are moved to a separate completed tasks sheet (move completed rows to completed sheet) and deleted from active list (delete completed rows) in a loop until none remain. Wait nodes and limits are used to control API call pacing and batch sizes. How to use Set your Discord server and channel IDs for input (tasks-to-do) and output (my-prio-tasks-today) in the Set discord IDs here node. Connect your Google Sheets account and set the Spreadsheet ID in all relevant nodes (the sheet must have Tasks and completed tasks sheets with expected columns). Add your OpenAI API credentials for GPT-4.1 mini (task processing) and GPT-5 mini (daily digest). Ensure your Discord app has OAuth2 tokens with message read, react, and post permissions. Post tasks as messages in the configured Discord input channel. Run the workflow or activate it; it will sync, process, prioritize, and update tasks automatically on schedule. Customize the schedule trigger if you want more frequent or different syncing intervals. Requirements Discord account and bot/app with OAuth2 app credentials for message read, react, and post permissions. Google Sheets account for task data storage, with a spreadsheet structured as specified (Sheets: Tasks, completed tasks). OpenAI API account with access to GPT-4.1 mini and GPT-5 mini models for AI task analysis and summarization. Google Sheets OAuth2 credentials configured in n8n. Properly set Discord server and channel IDs in the workflow. Customising this workflow Try adding support for multiple Discord servers or channels to centralize tasks from different teams or projects. Extend AI prompts to include deadlines parsing or automated reminders. Customize the Google Sheets columns or the scoring logic to fit your unique productivity frameworks or KPIs. Incorporate notifications via email or Slack based on task priority or completion. Replace Google Sheets with other databases if scalable storage is required. Adjust the energy level and impact criteria in AI prompts to match your personal productivity rhythms. Sample inputs: "publish tasks tracker asap" "Improve personal portfolio asap" "Watch new movie - Jujutsu Kaisen" Sample output: 🔥 Today's Agenda ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Morning Deep Work Blocks (High Energy Required) Do these during peak hours (6 AM to 2 PM or whenever you're sharpest) 1️⃣ Improve personal portfolio for job applications 💡 Why: Critical for landing > 50k automation job - enhances job application success 📊 Priority: 100 | Impact: 10/10 Link: (https://discord.com/channels/1373770435146689/1481777943919293/1440107502032) 2️⃣ Complete all Udemy n8n courses ASAP 💡 Why: Essential skill for landing >50k automation job and digital product creation 📊 Priority: 88 | Impact: 9/10 Link: (https://discord.com/channels/137770435134668/14348177539192/14365639629204) 3️⃣ Finish finance debt tracker and publish as template 💡 Why: Generates immediate income potential and supports income generation 📊 Priority: 86 | Impact: 9/10 Link: (https://discord.com/channels/1373767704351346/1434817779453919/1436445965471973) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 DOWNTIME BLOCK (Low-Medium Energy) Do these during energy dips (post-lunch, late afternoon, tired moments) 1️⃣ Call Bank collections agency (09277055515 / 09559050973) 💡 Why: Limited-time offer; could significantly monthly payments 📊 Priority: 96 | Impact: 10/10 | Energy: Medium Link: (https://discord.com/channels/13767704351/14348177453/14379926889894) 2️⃣ Publish n8n workflow and submit for verification 💡 Why: Enables earning from this and future n8n workflows — immediate income opportunity 📊 Priority: 96 | Impact: 9/10 | Energy: Medium Link: (https://discord.com/channels/1373767435134/14347794539/143810998822) 3️⃣ Plan and pay Loan 💡 Why: Immediate debt payments reduce penalties/interest and support financial stability 📊 Priority: 96 | Impact: 10/10 | Energy: Medium Link: (https://discord.com/channels/1373767704351346/143481777945391/14382823609982) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💪 EXECUTION STRATEGY 🛡️ Morning Block: Protect this ruthlessly — no meetings, no social, deep work only. ⚙️ Downtime Block: Tackle these during lower-energy windows; they move the money/debt needle without burning you out. 🎯 Win Condition: Complete all 6 = massive progress toward landing high-paying work and eliminating high-priority debt. Protect your morning deep work at all costs — it's your leverage. You're building financial freedom one prioritized action at a time. If you finish all 6 today: your portfolio and skills will be significantly closer to landing high-paying work, and you'll make a major dent in urgent debt obligations. Questions? If you have questions or need help with this workflow, feel free to reach out: elijahmamuri@gmail.com elijahfxtrading@gmail.com
by Jitesh Dugar
Automated Certificate Generator with Email Validation & Delivery Automatically generate, validate, and deliver professional course completion certificates with zero manual work — from webhook request to PDF delivery in seconds. Overview This workflow transforms certificate generation from a manual design task into a fully automated system. It receives certificate requests via webhook, validates recipient emails using advanced verification, generates beautifully designed HTML certificates, converts them to high-quality PNG images, delivers via professional email templates, and maintains complete audit trails in Google Sheets. Powered by email validation APIs and HTML-to-image conversion, it ensures every certificate meets professional standards while preventing delivery to invalid or fraudulent email addresses. What This Workflow Does Receives certificate requests** via webhook from your LMS, CRM, or custom application Validates recipient emails** using VerifiEmail API with comprehensive checks: RFC compliance verification MX record validation Disposable email detection Spoof and fraud prevention Generates professional certificates** with custom HTML/CSS templates featuring: Purple gradient backgrounds with modern typography Google Fonts integration (Playfair Display + Montserrat) Gold achievement badges Auto-generated unique certificate IDs Formatted completion dates Instructor signatures Converts HTML to PNG** using HTMLcsstoImg API for permanent, shareable images Delivers via email** with branded HTML templates including download links and LinkedIn sharing CTAs Logs everything** to Google Sheets for reporting, analytics, and certificate verification Handles errors** with automatic validation checks and optional Slack notifications Key Features Zero Manual Work**: Fully automated from request to delivery Advanced Email Validation**: Blocks invalid, temporary, and fraudulent email addresses Professional Design**: Print-ready certificates with customizable branding Unique Certificate IDs**: Auto-generated format: CERT-{timestamp}-{random} Instant Delivery**: Certificates sent within seconds of completion Complete Audit Trail**: All certificates logged with 10+ data points Error Prevention**: Validation stops invalid requests before processing Highly Customizable**: Easy to modify colors, fonts, layouts, and email templates Scalable**: Handles hundreds of certificates per day API-Ready**: RESTful webhook endpoint for easy integration Use Cases Educational Institutions Automatically issue certificates for online courses and programs Generate graduation certificates for completed degrees Create participation certificates for workshops and seminars Corporate Training Award compliance training certificates to employees Recognize professional development completions Issue skill certification for internal programs Online Course Platforms Integrate with LMS systems (Teachable, Thinkific, Kajabi) Automate certificate delivery upon course completion Build certificate libraries for student portfolios Event Management Issue attendance certificates for conferences and webinars Generate speaker appreciation certificates Create volunteer recognition certificates Certification Programs Award professional certifications and credentials Generate CPE/CE certificates for continuing education Issue examination completion certificates Prerequisites Required Services & Accounts n8n** (self-hosted or cloud) - Workflow automation platform VerifiEmail Account** - Email validation API HTMLcsstoImg Account** - HTML to PNG conversion Gmail Account** - Email delivery via OAuth2 Google Workspace** - For Sheets logging and tracking Required Credentials VerifiEmail API Key HTMLcsstoImg User ID + API Key Gmail OAuth2 credentials Google Sheets OAuth2 credentials Setup Instructions 1. Import the Workflow Download the certificate-generator.json file In n8n, navigate to Workflows → Import from File Select the JSON file and click Import 2. Configure Credentials VerifiEmail API Sign up at https://verifi.email Navigate to Dashboard → API Keys Copy your API key In n8n: Settings → Credentials → Add Credential Search for "VerifiEmail" Name: VerifiEmail API Paste API key and save Assign to "Verifi Email" node in workflow HTMLcsstoImg API Sign up at https://htmlcsstoimg.com Go to Dashboard → API Copy User ID and API Key In n8n: Credentials → Add Credential → "HTMLcsstoImg" Name: HTMLcsstoImg API Enter User ID and API Key Assign to "HTML/CSS to Image" node Gmail OAuth2 In n8n: Credentials → Add Credential → "Gmail OAuth2" Click Connect my account Follow Google OAuth flow Grant permissions: Send email Name: Gmail OAuth2 Assign to "Send Certificate Email" node Google Sheets OAuth2 Create new Google Sheet: "Certificates Log" Add column headers in Row 1: Certificate ID Recipient Name Course Email Completion Date Generated At Certificate URL Status Instructor Duration In n8n: Credentials → Gmail OAuth2 (same as above works for Sheets) Assign to "Log to Google Sheets" node Select your "Certificates Log" spreadsheet Select "Sheet1" 3. Activate Workflow Click the toggle switch in top-right to activate Copy the Webhook URL from "Certificate Request Webhook" node Format: https://your-n8n-instance.com/webhook/certificate-generator 4. Configure Your Application For LMS Integration: // When course is completed fetch('https://your-n8n-instance.com/webhook/certificate-generator', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ name: student.fullName, course: course.title, date: new Date().toISOString().split('T')[0], email: student.email, instructor: course.instructor, duration: course.duration }) }); For Zapier/Make.com: Trigger: Course completed Action: Webhooks → POST URL: Your webhook URL Body: Map fields to JSON format 5. Test the Workflow Send test request: curl -X POST https://your-n8n-instance.com/webhook/certificate-generator \ -H "Content-Type: application/json" \ -d '{ "name": "Test User", "course": "Test Course", "date": "2025-10-04", "email": "test@gmail.com" }' Verify: Email validation passes Certificate generated successfully Image created at HTMLcsstoImage Email delivered to inbox Entry logged in Google Sheets How It Works Webhook Trigger → Receives POST request with certificate data Email Validation → VerifiEmail checks RFC, MX records, disposable status Field Validation → Ensures name, course, date present and email valid Data Combination → Merges webhook data with validation results HTML Generation → Creates styled certificate with dynamic content Image Conversion → HTMLcsstoImg renders 1200x850px PNG Email Delivery → Gmail sends professional template with download link Database Logging → Google Sheets records all certificate details Error Handling → Catches failures and stops invalid requests Processing Time: 5-10 seconds per certificate API Reference Endpoint POST /webhook/certificate-generator Content-Type: application/json Required Fields { "name": "string", // Full name of recipient "course": "string", // Course or program name "date": "YYYY-MM-DD", // Completion date "email": "string" // Recipient email address } Optional Fields { "instructor": "string", // Instructor name (default: "Program Director") "duration": "string", // Course duration (e.g., "40 hours") "certificateId": "string" // Custom ID (auto-generated if not provided) } Success Response { "success": true, "message": "Certificate generated and sent successfully", "certificateId": "CERT-1728000000-ABC123", "certificateUrl": "https://hcti.io/v1/image/xyz123" } Error Response { "success": false, "error": "Missing required fields: name, course, date, or valid email" } Customization Certificate Design Edit the "Generate HTML Certificate" Code node: Change Brand Colors: // Background gradient background: linear-gradient(135deg, #YOUR_COLOR_1 0%, #YOUR_COLOR_2 100%); // Border color border: 3px solid #YOUR_BRAND_COLOR; Add Company Logo: Modify Fonts: @import url('https://fonts.googleapis.com/css2?family=Your+Font&display=swap'); font-family: 'Your Font', sans-serif; Email Template Edit the "Send Certificate Email" node message: Update Company Info: © 2025 Your Company Name Contact: support@yourcompany.com Change Header Color: .header { background: linear-gradient(135deg, #YOUR_COLOR_1, #YOUR_COLOR_2); } Certificate ID Format In "Generate HTML Certificate" node: // Custom format: COURSE-YEAR-NUMBER const certId = ${data.course.substring(0,3).toUpperCase()}-${new Date().getFullYear()}-${Math.floor(Math.random() * 10000)}; Data Flow Webhook → Email Validation → Field Validation → Combine Data ↓ Generate HTML → Convert to PNG → Send Email ↓ Log to Sheets → Success Response ↓ Error Handling (if failed) Expected Output PNG Certificate Includes: Branded header with logo/company name Recipient name in large display font Course name and duration Formatted completion date Instructor signature section Unique certificate ID Gold achievement badge Professional borders and styling Google Sheets Entry: Certificate ID Recipient details Course information Completion date and time Direct link to certificate image Status: "Sent" Email Notification: Professional HTML template Personalized congratulations message Direct download button Certificate details table LinkedIn sharing encouragement Performance Processing Time:** 5-10 seconds per certificate Daily Capacity:** 250+ certificates (limited by free tier quotas) Image Resolution:** 1200x850px (print-ready) File Size:** ~200-400 KB per PNG Email Delivery:** ~98% success rate Troubleshooting Webhook not receiving data Verify webhook URL is correct Check n8n workflow is activated Ensure POST method is used Validate JSON format Email validation fails Use real email domains (not example.com) Check VerifiEmail API quota Verify API credentials are correct Test with gmail.com addresses first Certificate not generating Check required fields are present Verify date format is YYYY-MM-DD Review "Generate HTML Certificate" node logs Ensure HTMLcsstoImg API key valid Image conversion fails Verify HTMLcsstoImg credits available Check HTML syntax is valid Review API response in execution logs Test HTML locally first Email not delivered Confirm Gmail OAuth2 connected Check recipient email is valid Review spam/junk folders Verify Gmail daily limit not exceeded Google Sheets not updating Re-authenticate Google Sheets OAuth2 Verify spreadsheet permissions Check column names match exactly Ensure sheet exists and is accessible Best Practices Test with small batches before production rollout Monitor API quotas to avoid unexpected failures Use real email addresses during testing (avoid disposable) Archive old certificates periodically from Google Sheets Set up Slack notifications for error monitoring Validate webhook payload before sending Document customizations for team reference Back up Google Sheets regularly Review email deliverability weekly Keep credentials secure and rotate periodically Security Notes All API credentials encrypted in n8n Certificate URLs are publicly accessible via direct link Email validation prevents delivery to fraudulent addresses Webhook uses HTTPS for secure data transmission Google Sheets access controlled via OAuth2 permissions No sensitive data stored in workflow logs Future Enhancements PDF output option for formal certifications Multiple certificate templates (modern, classic, minimalist) QR code verification system Batch certificate generation Multi-language support Certificate revocation capability Analytics dashboard WhatsApp/SMS delivery option Integration with Notion/Confluence knowledge bases Support Resources n8n Documentation n8n Community Forum VerifiEmail Docs HTMLcsstoImage API Gmail API Reference Google Sheets API License This workflow template is provided as-is for free use and modification under the MIT License. Attribution appreciated but not required. Version: 1.0.0 Last Updated: October 2025 Compatibility: n8n v1.0.0+
by Jan Zaiser
This n8n template demonstrates how to automatically process incoming invoice emails using AI to extract structured data, organize files in Google Drive, log everything in Google Sheets, and forward to your accounting system, completely hands-free. Use cases are many: Perfect for freelancers managing client invoices, small businesses handling supplier bills, accounting departments processing high invoice volumes, or anyone who wants to eliminate manual data entry and maintain a perfectly organized invoice archive! Good to know The AI extraction works with most standard invoice formats but may require prompt adjustments for unusual layouts. Ensure your IMAP email account allows external app connections and has sufficient storage for the archive folder. Google Drive folder structure is automatically created if it doesn't exist yet. How it works The IMAP Email trigger monitors your inbox for new messages with attachments. JavaScript splits multiple attachments into separate items, ensuring each invoice is processed individually. PDF text extraction reads the content from each invoice file. An AI model (like OpenAI or Gemini) analyzes the extracted text and identifies key fields: company name, invoice number, date, amount, VAT, and more. Additional date metadata is generated (month, year, formatted dates) for smart categorization. The invoice PDF is uploaded to a temporary "Incoming Files" folder on Google Drive for safe processing. The workflow searches for or creates the correct monthly folder (e.g., "Invoices / October 2025") in your Drive structure. The invoice is moved to the final destination with a clean, standardized filename: 2025-10-02_Company-Name_InvoiceNumber.pdf. All extracted data is logged to Google Sheets for easy tracking, reporting, and audit trails. The finalized invoice is forwarded to your DateV accounting email inbox. The original email is automatically moved to an archive folder, keeping your inbox clean and organized. How to use The IMAP trigger is configured for continuous monitoring, but you can adjust the polling interval based on your needs. Customize the AI prompt to match your specific invoice formats or extract additional fields relevant to your business. The folder structure on Google Drive can be modified to match your existing organization system. Requirements IMAP-enabled email account (Gmail, Outlook, or any email provider supporting IMAP) Google Drive account for file storage Google Sheets for invoice logging AI model access (OpenAI, Gemini, or compatible LLM for data extraction) DateV email address (or replace with your preferred accounting system) Customising this workflow Replace the DateV email step with integrations to other accounting platforms like Xero, QuickBooks, or Lexoffice. Add conditional logic to route different invoice types to different folders or sheets. Extend the AI extraction to include line items, payment terms, or custom fields specific to your industry. Connect additional notifications via Slack, Teams, or SMS when high-value invoices are received. Disclaimer: The node to move the e-mail is a community-node, so it’s only for self-hosting.
by Jitesh Dugar
Automated Event Badge Generator Streamline your event registration process with this fully automated badge generation system. Perfect for conferences, seminars, corporate events, universities, and training programs. 🎯 What This Workflow Does Receives Registration Data via webhook (POST request) Validates & Sanitizes attendee information (email, name, role) Generates Unique QR Codes for each attendee with scannable IDs Creates Beautiful HTML Badges with gradient design and branding Converts to High-Quality PNG Images (400x680px) via HTMLCSStoImage API Logs Everything to Google Sheets for tracking and analytics Sends Personalized Emails with badge attachment and event instructions Handles Errors Gracefully with admin notifications ✨ Key Features Professional Badge Design**: Gradient purple background, attendee photos (initials), QR codes Automatic QR Code Generation**: Unique scannable codes for quick check-in Email Delivery**: Personalized HTML emails with download links Google Sheets Tracking**: Complete audit trail of all badge generations Error Handling**: Admin alerts when generation fails Scalable**: Process registrations one-by-one or in batches 🔧 Required Setup APIs & Credentials: HTMLCSStoImg API - Sign up at https://htmlcsstoimg.com Get API Key Gmail OAuth2 Connect your Gmail account Grant send permissions Google Sheets OAuth2 Create a tracking spreadsheet Add headers: Name, Email, Event, Role, Attendee ID, Badge URL, Timestamp Connect via OAuth2 Before Activation: Replace YOUR_GOOGLE_SHEETS_ID with your Google Sheet ID Replace admin@example.com with your admin email address Add all three credentials Test with sample data 📊 Use Cases Conferences & Seminars**: Generate badges for 100+ attendees Universities**: Student ID cards and event passes Corporate Events**: Employee badges with QR check-in Training Programs**: Course participant badges Workshops**: Professional badges with role identification Trade Shows**: Exhibitor and visitor badges 🎨 Customization Options Badge Design**: Modify HTML/CSS for custom branding, colors, logos QR Code Size**: Adjust dimensions for different use cases Email Template**: Personalize welcome message and instructions Role-Based Badges**: Different designs for VIP, Speaker, Staff, Attendee Multi-Event Support**: Handle multiple events with different templates 📈 What You'll Track Total badges generated Attendee names, emails, roles Badge image URLs for reprints Generation timestamps Event names and dates ⚡ Processing Time Average**: 5-8 seconds per badge Includes**: Validation, QR generation, HTML rendering, image conversion, logging, email 🔒 Security Features Email format validation Continue-on-fail error handling Admin notifications on failures Secure credential storage 💡 Pro Tips Use a dedicated Gmail account for automation Monitor HTMLCSStoImg API limits Create separate sheets for different events Archive old data periodically Set up webhook authentication for production 🚀 Getting Started Import this workflow Add the three required credentials Update Sheet ID and admin email Test with sample registration data Activate and integrate with your registration form Perfect for event organizers, HR teams, universities, and anyone managing events with 10-1000+ attendees!
by Vigh Sandor
Network Vulnerability Scanner (used NMAP as engine) with Automated CVE Report Workflow Overview This n8n workflow provides comprehensive network vulnerability scanning with automated CVE enrichment and professional report generation. It performs Nmap scans, queries the National Vulnerability Database (NVD) for CVE information, generates detailed HTML/PDF reports, and distributes them via Telegram and email. Key Features Automated Network Scanning**: Full Nmap service and version detection scan CVE Enrichment**: Automatic vulnerability lookup using NVD API CVSS Scoring**: Vulnerability severity assessment with CVSS v3.1/v3.0 scores Professional Reporting**: HTML reports with detailed findings and recommendations PDF Generation**: Password-protected PDF reports using Prince XML Multi-Channel Distribution**: Telegram and email delivery Multiple Triggers**: Webhook API, web form, manual execution, scheduled scans Rate Limiting**: Respects NVD API rate limits Comprehensive Data**: Service detection, CPE matching, CVE details with references Use Cases Regular security audits of network infrastructure Compliance scanning for vulnerability management Penetration testing reconnaissance phase Asset inventory with vulnerability context Continuous security monitoring Vulnerability assessment reporting for management DevSecOps integration for infrastructure testing Setup Instructions Prerequisites Before setting up this workflow, ensure you have: System Requirements n8n instance (self-hosted) with command execution capability Alpine Linux base image (or compatible Linux distribution) Minimum 2 GB RAM (4 GB recommended for large scans) 2 GB free disk space for dependencies Network access to scan targets Internet connectivity for NVD API Required Knowledge Basic networking concepts (IP addresses, ports, protocols) Understanding of CVE/CVSS vulnerability scoring Nmap scanning basics External Services Telegram Bot (optional, for Telegram notifications) Email server / SMTP credentials (optional, for email reports) NVD API access (public, no API key required but rate-limited) Step 1: Understanding the Workflow Components Core Dependencies Nmap: Network scanner Purpose: Port scanning, service detection, version identification Usage: Performs TCP SYN scan with service/version detection nmap-helper: JSON conversion tool Repository: https://github.com/net-shaper/nmap-helper Purpose: Converts Nmap XML output to JSON format Prince XML: HTML to PDF converter Website: https://www.princexml.com Version: 16.1 (Alpine 3.20) Purpose: Generates professional PDF reports from HTML Features: Password protection, print-optimized formatting NVD API: Vulnerability database Endpoint: https://services.nvd.nist.gov/rest/json/cves/2.0 Purpose: CVE information, CVSS scores, vulnerability descriptions Rate Limit: Public API allows limited requests per minute Documentation: https://nvd.nist.gov/developers Step 2: Telegram Bot Configuration (Optional) If you want to receive reports via Telegram: Create Telegram Bot Open Telegram and search for @BotFather Start a chat and send /newbot Follow prompts: Bot name: Network Scanner Bot (or your choice) Username: network_scanner_bot (must end with 'bot') BotFather will provide: Bot token: 123456789:ABCdefGHIjklMNOpqrsTUVwxyz (save this) Bot URL: https://t.me/your_bot_username Get Your Chat ID Start a chat with your new bot Send any message to the bot Visit: https://api.telegram.org/bot<YOUR_BOT_TOKEN>/getUpdates Find your chat ID in the response Save this chat ID (e.g., 123456789) Alternative: Group Chat ID For sending to a group: Add bot to your group Send a message in the group Check getUpdates URL Group chat IDs are negative: -1001234567890 Add Credentials to n8n Navigate to Credentials in n8n Click Add Credential Select Telegram API Fill in: Access Token: Your bot token from BotFather Click Save Test connection if available Step 3: Email Configuration (Optional) If you want to receive reports via email: Add SMTP Credentials to n8n Navigate to Credentials in n8n Click Add Credential Select SMTP Fill in: Host: SMTP server address (e.g., smtp.gmail.com) Port: SMTP port (587 for TLS, 465 for SSL, 25 for unencrypted) User: Your email username Password: Your email password or app password Secure: Enable for TLS/SSL Click Save Gmail Users: Enable 2-factor authentication Generate app-specific password: https://myaccount.google.com/apppasswords Use app password in n8n credential Step 4: Import and Configure Workflow Configure Basic Parameters Locate "1. Set Parameters" Node: Click the node to open settings Default configuration: network: Input from webhook/form/manual trigger timestamp: Auto-generated (format: yyyyMMdd_HHmmss) report_password: Almafa123456 (change this!) Change Report Password: Edit report_password assignment Set strong password: 12+ characters, mixed case, numbers, symbols This password will protect the PDF report Save changes Step 5: Configure Notification Endpoints Telegram Configuration Locate "14/a. Send Report in Telegram" Node: Open node settings Update fields: Chat ID: Replace -123456789012 with your actual chat ID Credentials: Select your Telegram credential Save changes Message customization: Current: Sends PDF as document attachment Automatic filename: vulnerability_report_<timestamp>.pdf No caption by default (add if needed) Email Configuration Locate "14/b. Send Report in Email with SMTP" Node: Open node settings Update fields: From Email: report.creator@example.com → Your sender email To Email: report.receiver@example.com → Your recipient email Subject: Customize if needed (default includes network target) Text: Email body message Credentials: Select your SMTP credential Save changes Multiple Recipients: Change toEmail field to comma-separated list: admin@example.com, security@example.com, manager@example.com Add CC/BCC: In node options, add: cc: Carbon copy recipients bcc: Blind carbon copy recipients Step 6: Configure Triggers The workflow supports 4 trigger methods: Trigger 1: Webhook API (Production) Locate "Webhook" Node: Path: /vuln-scan Method: POST Response: Immediate acknowledgment "Process started!" Async: Scan runs in background Trigger 2: Web Form (User-Friendly) Locate "On form submission" Node: Path: /webhook-test/form/target Method: GET (form display), POST (form submit) Form Title: "Add scan parameters" Field: network (required) Form URL: https://your-n8n-domain.com/webhook-test/form/target Users can: Open form URL in browser Enter target network/IP Click submit Receive confirmation Trigger 3: Manual Execution (Testing) Locate "Manual Trigger" Node: Click to activate Opens workflow with "Pre-Set-Target" node Default target: scanme.nmap.org (Nmap's official test server) To change default target: Open "Pre-Set-Target" node Edit network value Enter your test target Save changes Trigger 4: Scheduled Scans (Automated) Locate "Schedule Trigger" Node: Default: Daily at 1:00 AM Uses "Pre-Set-Target" for network To change schedule: Open node settings Modify trigger time: Hour: 1 (1 AM) Minute: 0 Day of week: All days (or select specific days) Save changes Schedule Examples: Every day at 3 AM: Hour: 3, Minute: 0 Weekly on Monday at 2 AM: Hour: 2, Day: Monday Twice daily (8 AM, 8 PM): Create two Schedule Trigger nodes Step 7: Test the Workflow Recommended Test Target Use Nmap's official test server for initial testing: Target**: scanme.nmap.org Purpose**: Official Nmap testing server Safe**: Designed for scanning practice Permissions**: Public permission to scan Important: Never scan targets without permission. Unauthorized scanning is illegal. Manual Test Execution Open workflow in n8n editor Click Manual Trigger node to select it Click Execute Workflow button Workflow will start with scanme.nmap.org as target Monitor Execution Watch nodes turn green as they complete: Need to Add Helper?: Checks if nmap-helper installed Add NMAP-HELPER: Installs helper (if needed, ~2-3 minutes) Optional Params Setter: Sets scan parameters 2. Execute Nmap Scan: Runs scan (5-30 minutes depending on target) 3. Parse NMAP JSON to Services: Extracts services (~1 second) 5. CVE Enrichment Loop: Queries NVD API (1 second per service) 8-10. Report Generation: Creates HTML/PDF reports (~5-10 seconds) 12. Convert to PDF: Generates password-protected PDF (~10 seconds) 14a/14b. Distribution: Sends reports Check Outputs Click nodes to view outputs: Parse NMAP JSON**: View discovered services CVE Enrichment**: See vulnerabilities found Prepare Report Structure**: Check statistics Read Report PDF**: Download report to verify Verify Distribution Telegram: Open Telegram chat with your bot Check for PDF document Download and open with password Email: Check inbox for report email Verify subject line includes target network Download PDF attachment Open with password How to Use Understanding the Scan Process Initiating Scans Method 1: Webhook API Use curl or any HTTP client and add "network" parameter in a POST request. Response: Process started! Scan runs asynchronously. You'll receive results via configured channels (Telegram/Email). Method 2: Web Form Open form URL in browser: https://your-n8n.com/webhook-test/form/target Fill in form: network: Enter target (IP, range, domain) Click Submit Receive confirmation Wait for report delivery Advantages: No command line needed User-friendly interface Input validation Good for non-technical users Method 3: Manual Execution For testing or one-off scans: Open workflow in n8n Edit "Pre-Set-Target" node: Change network value to your target Click Manual Trigger node Click Execute Workflow Monitor progress in real-time Advantages: See execution in real-time Debug issues immediately Test configuration changes View intermediate outputs Method 4: Scheduled Scans For regular, automated security audits: Configure "Schedule Trigger" node with desired time Configure "Pre-Set-Target" node with default target Activate workflow Scans run automatically on schedule Advantages: Automated security monitoring Regular compliance scans No manual intervention needed Consistent scheduling Scan Targets Explained Supported Target Formats Single IP Address: 192.168.1.100 10.0.0.50 CIDR Notation (Subnet): 192.168.1.0/24 # Scans 192.168.1.0-255 (254 hosts) 10.0.0.0/16 # Scans 10.0.0.0-255.255 (65534 hosts) 172.16.0.0/12 # Scans entire 172.16-31.x.x range IP Range: 192.168.1.1-50 # Scans 192.168.1.1 to 192.168.1.50 10.0.0.1-10.0.0.100 # Scans across range Multiple Targets: 192.168.1.1,192.168.1.2,192.168.1.3 Hostname/Domain: scanme.nmap.org example.com server.local Choosing Appropriate Targets Development/Testing: Use scanme.nmap.org (official test target) Use your own isolated lab network Never scan public internet without permission Internal Networks: Use CIDR notation for entire subnets Scan DMZ networks separately from internal Consider network segmentation in scan design Understanding Report Contents Report Structure The generated report includes: 1. Executive Summary: Total hosts discovered Total services identified Total vulnerabilities found Severity breakdown (Critical, High, Medium, Low, Info) Scan date and time Target network 2. Overall Statistics: Visual dashboard with key metrics Severity distribution chart Quick risk assessment 3. Detailed Findings by Host: For each discovered host: IP address Hostname (if resolved) List of open ports and services Service details: Port number and protocol Service name (e.g., http, ssh, mysql) Product (e.g., Apache, OpenSSH, MySQL) Version (e.g., 2.4.41, 8.2p1, 5.7.33) CPE identifier 4. Vulnerability Details: For each vulnerable service: CVE ID**: Unique vulnerability identifier (e.g., CVE-2021-44228) Severity**: CRITICAL / HIGH / MEDIUM / LOW / INFO CVSS Score**: Numerical score (0.0-10.0) Published Date**: When vulnerability was disclosed Description**: Detailed vulnerability explanation References**: Links to advisories, patches, exploits 5. Recommendations: Immediate actions (patch critical/high severity) Long-term improvements (security processes) Best practices Vulnerability Severity Levels CRITICAL (CVSS 9.0-10.0): Color: Red Characteristics: Remote code execution, full system compromise Action: Immediate patching required Examples: Log4Shell, EternalBlue, Heartbleed HIGH (CVSS 7.0-8.9): Color: Orange Characteristics: Significant security impact, data exposure Action: Patch within days Examples: SQL injection, privilege escalation, authentication bypass MEDIUM (CVSS 4.0-6.9): Color: Yellow Characteristics: Moderate security impact Action: Patch within weeks Examples: Information disclosure, denial of service, XSS LOW (CVSS 0.1-3.9): Color: Green Characteristics: Minor security impact Action: Patch during regular maintenance Examples: Path disclosure, weak ciphers, verbose error messages INFO (CVSS 0.0): Color: Blue Characteristics: No vulnerability found or informational Action: No action required, awareness only Examples: Service version detected, no known CVEs Understanding CPE CPE (Common Platform Enumeration): Standard naming scheme for IT products Used for CVE lookup in NVD database Workflow CPE Handling: Nmap detects service and version Nmap provides CPE (if in database) Workflow uses CPE to query NVD API NVD returns CVEs associated with that CPE Special case: nginx vendor fixed from igor_sysoev to nginx Working with Reports Accessing HTML Report Location: /tmp/vulnerability_report_<timestamp>.html Viewing: Open in web browser directly from n8n Click "11. Read Report for Output" node Download HTML file Open locally in any browser Advantages: Interactive (clickable links) Searchable text Easy to edit/customize Smaller file size Accessing PDF Report Location: /tmp/vulnerability_report_<timestamp>.pdf Password: Default: Almafa123456 (configured in "1. Set Parameters") Change in workflow before production use Required to open PDF Opening PDF: Receive PDF via Telegram or Email Open with PDF reader (Adobe, Foxit, Browser) Enter password when prompted View, print, or share Advantages: Professional appearance Print-optimized formatting Password protection Portable (works anywhere) Preserves formatting Report Customization Change Report Title: Open "8. Prepare Report Structure" node Find metadata object Edit title and subtitle fields Customize Styling: Open "9. Generate HTML Report" node Modify CSS in <style> section Change colors, fonts, layout Add Company Logo: Edit HTML generation code Add `` tag in header section Include base64-encoded logo or URL Modify Recommendations: Open "9. Generate HTML Report" node Find Recommendations section Edit recommendation text Scanning Ethics and Legality Authorization is Mandatory: Never scan networks without explicit written permission Unauthorized scanning is illegal in most jurisdictions Can result in criminal charges and civil liability Scope Definition: Document approved scan scope Exclude out-of-scope systems Maintain scan authorization documents Notification: Inform network administrators before scans Provide scan window and source IPs Have emergency contact procedures Safe Targets for Testing: scanme.nmap.org: Official Nmap test server Your own isolated lab network Cloud instances you own Explicitly authorized environments Compliance Considerations PCI DSS: Quarterly internal vulnerability scans required Scan all system components Re-scan after significant changes Document scan results HIPAA: Regular vulnerability assessments required Risk analysis and management Document remediation efforts ISO 27001: Vulnerability management process Regular technical vulnerability scans Document procedures NIST Cybersecurity Framework: Identify vulnerabilities (DE.CM-8) Maintain inventory Implement vulnerability management License and Credits Workflow: Created for n8n workflow automation Free for personal and commercial use Modify and distribute as needed No warranty provided Dependencies: Nmap**: GPL v2 - https://nmap.org nmap-helper**: Open source - https://github.com/net-shaper/nmap-helper Prince XML**: Commercial license required for production use - https://www.princexml.com NVD API**: Public API by NIST - https://nvd.nist.gov Third-Party Services: Telegram Bot API: https://core.telegram.org/bots/api SMTP: Standard email protocol Support For Nmap issues: Documentation: https://nmap.org/book/ Community: https://seclists.org/nmap-dev/ For NVD API issues: Status page: https://nvd.nist.gov Contact: https://nvd.nist.gov/general/contact For Prince XML issues: Documentation: https://www.princexml.com/doc/ Support: https://www.princexml.com/doc/help/ Workflow Metadata External Dependencies**: Nmap, nmap-helper, Prince XML, NVD API License**: Open for modification and commercial use Security Disclaimer This workflow is provided for legitimate security testing and vulnerability assessment purposes only. Users are solely responsible for ensuring they have proper authorization before scanning any network or system. Unauthorized network scanning is illegal and unethical. The authors assume no liability for misuse of this workflow or any damages resulting from its use. Always obtain written permission before conducting security assessments.
by Sean Lon
Team Wellness - AI Burnout Detector Agent devex github 🎯 Demo sample report github action code alternative How it works 🎯 Overview A comprehensive n8n workflow that analyzes developer workload patterns from GitHub repositories to detect potential software engineering team burnout risks and provide actionable team wellness recommendations. This workflow automatically monitors team activity patterns, analyzes them using AI, and provides professional wellness reports with actionable recommendations which will automate GitHub issue creation and do email notifications for critical alerts. ✨ Features Automated Data Collection**: Fetches commits, pull requests, and workflow data from GitHub Pattern Analysis**: Identifies late-night work, weekend activity, and workload distribution AI-Powered Analysis**: Uses Groq's LLM for professional burnout risk assessment Automated Actions**: Creates GitHub issues and sends email alerts based on criticality Professional Guardrails**: Ensures objective, evidence-based analysis with privacy protection Scheduled Monitoring**: Weekly automated wellness checks 🏗️ Architecture 1. Data Collection Layer GitHub Commits API**: Fetches commit history and timing data GitHub Pull Requests API**: Analyzes collaboration patterns GitHub Workflows API**: Monitors CI/CD pipeline health 2. Pattern Analysis Engine Work Pattern Signals**: Late-night commits, weekend activity Developer Activity**: Individual contribution analysis Workflow Health**: Pipeline success/failure rates Collaboration Metrics**: PR review patterns and merge frequency 3. AI Analysis Layer Professional Guardrails**: Objective, evidence-based assessments Risk Assessment**: Burnout risk classification (Low/Medium/High) Health Scoring**: Team wellness score (0-100) Recommendation Engine**: Actionable suggestions for improvement 📊 Sample Output 📊 Team Health Report 📝 Summary Overall, the team is maintaining a healthy delivery pace, but there are emerging signs of workload imbalance due to increased after-hours activity. 🔢 Health Score Value:** 68 / 100 Confidence:** 87% Limitations:** Based solely on commit and PR activity; meeting load and non-code tasks not captured. 🔍 Observed Patterns ⏰ After-hours activity 29% of commits occurred between 10pm–1am (baseline: 12%). Confidence: 0.90 ⚠️ Systemic Risks Sustained after-hours work may indicate creeping burnout risk. Evidence: 3 consecutive weeks of elevated late-night commits. Confidence: 0.85 ✅ Recommendations 📌 Facilitate a team discussion on workload distribution and sprint commitments. (Priority: Medium) 🔔 Introduce automated nudges discouraging late-night commits. (Priority: Low) 🛠️ Rotate PR review responsibilities or adopt lightweight review guidelines. (Priority: High) 🚀 Quick Start Prerequisites n8n instance (cloud or self-hosted) GitHub repository with API access Groq API key Gmail account (optional, for email notifications) Setup Instructions Import Workflow Import the workflow JSON file into your n8n instance Configure Credentials GitHub API: Create a personal access token with repo access Groq API: Get your API key from Groq Console Gmail OAuth2: Set up OAuth2 credentials for email notifications Update Configuration { "repoowner": "your-github-username", "reponame": "your-repository-name", "period": 7, "emailreport": "your-email@company.com" } Test Workflow Run the workflow manually to verify all connections Check that data is being fetched correctly Verify AI analysis is working Schedule Automation Enable the schedule trigger for weekly reports Set up monitoring for critical alerts 🔧 Configuration Configuration Node Settings repoowner: GitHub username or organization reponame: Repository name period: Analysis period in days (default: 7) emailreport: Email address for critical alerts AI Model Settings Model**: openai/gpt-oss-120b (Groq) Temperature**: 0.3 (for consistent analysis) Max Tokens**: 2000 Safety Settings**: Professional content filtering 📈 Metrics Analyzed Repository-Level Metrics Total commits count Pull requests opened/closed Workflow runs and success rate Failed workflow percentage Work Pattern Signals Late-night commits (10PM-6AM) Weekend commits (Saturday-Sunday) Work intensity patterns Collaboration bottlenecks Developer-Level Activity Individual commit counts Late-night activity per developer Weekend activity per developer Workload distribution fairness 🛡️ Privacy & Ethics Professional Guardrails Never makes personal judgments about individual developers Only analyzes observable patterns in code activity data Always provides evidence-based reasoning for assessments Never suggests disciplinary actions or performance reviews Focuses on systemic issues and team-level recommendations Respects privacy and confidentiality of team members Data Protection No personal information is stored or transmitted Analysis is based solely on public repository data and public data All recommendations are constructive and team-focused Confidence scores indicate analysis reliability There is added redaction prompt. Note that LLM is not deterministic and usually, you will need to refine your own prompt to enhance difference level of criticality of privacy you need censored or displayed. In some cases ,you will need the engineer account names to help identify f2f conversation. 🔄 Workflow Nodes Core Nodes Schedule Trigger: Weekly automation (configurable) Config: Repository and email configuration Github Get Commits: Fetches commit history Github Get Workflows: Retrieves workflow runs Get Prs: Pulls pull request data Analyze Patterns Developer: JavaScript pattern analysis AI Agent: Groq-powered analysis with guardrails Update Github Issue: Creates wellness tracking issues Send a message in Gmail: Email notifications Data Flow Schedule Trigger → Config → Github APIs → Pattern Analysis → AI Agent → Actions 🚨 Alert Levels (Optional and Prompt configurable) Critical Alerts (Health Score < 90) GitHub Issue**: Automatic issue creation with detailed analysis Email Notification**: Immediate alert to team leads Slack Integration**: Critical team notifications Warning Alerts (Health Score 90-95) GitHub Issue**: Tracking issue for monitoring Slack Notification**: Team awareness message Normal Reports (Health Score > 95) Weekly Report**: Comprehensive team health summary Slack Summary**: Positive reinforcement message 🔧 Troubleshooting Common Issues GitHub API Rate Limits Solution: Use authenticated requests, implement rate limiting Check: API token permissions and repository access AI Analysis Failures Solution: Verify Groq API key, check model availability Check: Input data format and prompt structure Email Notifications Not Sending Solution: Verify Gmail OAuth2 setup, check email permissions Check: SMTP settings and authentication Workflow Execution Errors Solution: Check node connections, verify data flow Check: Error logs and execution history 🤝 Contributing Development Setup Fork the repository link above demo part Create a feature branch Make your changes Test thoroughly Submit a pull request Testing Test with different repository types Verify AI analysis accuracy Check alert threshold sensitivity Validate email and GitHub integrations 📄 License This project is licensed under the MIT License 🙏 Acknowledgments Groq**: For providing the AI analysis capabilities GitHub**: For the comprehensive API ecosystem n8n**: For the powerful workflow automation platform Community**: For feedback and contributions 📞 Support Getting Help Issues**: Create a GitHub issue for bugs or feature requests Discussions**: Use GitHub Discussions for questions Documentation**: Check the comprehensive setup guides Contact Email**:aiix.space.noreply@gmail.com LinkedIn**: SeanLon ⚠️ Important: This tool is designed for team wellness monitoring and should be used responsibly. Always respect team privacy and use the insights constructively to improve team health and productivity.
by JKingma
📄 PDF-to-Order Automation for Magento2 (Adobe commerce / open source) Description This n8n template demonstrates how to automatically process PDF purchase orders received via email and convert them into sales orders in Adobe Commerce (Magento 2) using Company Credit as the payment method. This is especially useful for B2B companies receiving structured orders from clients by email. Use cases include: Automating incoming B2B orders Reducing manual entry for sales teams Ensuring fast order creation in Adobe Commerce Reliable error handling and customer validation Good to know This workflow is tailored for Adobe Commerce, using the Company Credit payment method. It requires that the customer already has an account in Adobe Commerce and is authorized to use Company Credit. The same flow can be easily adapted for other payment methods (e.g. Purchase Order, Bank Transfer). No third-party services are required aside from n8n and access to Adobe Commerce with API credentials. How it works Trigger → Monitors an email inbox for incoming emails with PDF attachments. Extract PDF → Downloads the attached PDF and parses order data (e.g. SKU, quantity, customer reference). Validate Customer → Checks if the sender matches an existing customer in Adobe Commerce and verifies Company Credit eligibility. Create Order → Generates a new order in Magento using the extracted product data and Company Credit. Handle Errors → Logs issues and can notify a designated channel (email, Slack, etc.) if something goes wrong. Optional Enhancements → Add logging to Airtable, send confirmations to customers, or attach parsed order data to CRM entries. How to use A manual trigger is included as an example, but you can replace it with an IMAP Email Trigger, Gmail Trigger, or Webhook, depending on your setup. Customize the PDF parser node to fit your specific document layout and field structure. Configure Adobe Commerce API credentials in the HTTP nodes (or use environment variables). Optionally connect error steps to Slack, Email, or dashboards for monitoring. Requirements ✅ n8n instance (self-hosted or cloud) ✅ Adobe Commerce (Magento 2) instance with API access and Company Credit enabled ✅ Structured PDF templates used by your customers (Optional) Slack/Email/Airtable for notifications and logs Customising this workflow This workflow can be adapted for: Other payment methods (e.g. Purchase Orders, Online Payment) Magento open source ready. Just use your own payment method Alternate order sources (e.g. uploading PDFs via a portal instead of email) Parsing other document formats (e.g. CSV, Excel) Direct integration into ERP systems
by Jitesh Dugar
AI-Powered Feedback Automation with PDF Reports & Team Notifications Transform customer feedback into actionable insights automatically with AI analysis, professional PDF reports, personalized emails, and real-time team notifications. Table of Contents Overview Features Demo Prerequisites Quick Start Configuration Usage Troubleshooting License Overview AI-Powered Feedback Automation is a complete, production-ready n8n workflow that automatically processes customer feedback submissions with artificial intelligence, generates beautiful branded PDF reports, sends personalized email responses, logs data for analytics, and notifies your team in real-time. What Problem Does This Solve? Manual feedback processing is time-consuming and inconsistent. This workflow eliminates all manual work by: Automatically analyzing** sentiment and extracting key insights using OpenAI Generating professional** PDF reports with custom branding Sending personalized** thank-you emails to customers Logging everything** to Google Sheets for analytics and reporting Notifying your team** instantly via Slack with actionable summaries Perfect For Product Teams** - Collect and analyze user feedback systematically Educational Institutions** - Process student/parent feedback efficiently Customer Support** - Track customer satisfaction and sentiment trends E-commerce** - Manage product reviews and customer suggestions Healthcare** - Collect patient feedback and satisfaction scores Event Management** - Gather attendee feedback post-event Consulting Firms** - Streamline client feedback collection Features AI-Powered Analysis Sentiment Classification** - Automatically categorizes feedback as Positive, Neutral, or Negative Key Highlights Extraction** - Identifies the most important points from customer comments Actionable Recommendations** - AI generates specific suggestions based on feedback Executive Summaries** - Creates concise 2-3 sentence overviews of each submission Professional Report Generation Beautiful PDF Reports** - Branded, professional documents with custom styling Visual Elements** - Star ratings, color-coded sentiment badges, organized sections Responsive Design** - Mobile-friendly and print-optimized layouts 30-Day Hosting** - PDF reports automatically hosted with expiration dates Automated Email Communications Personalized Messages** - Thank-you emails customized with customer name and feedback PDF Attachments** - Direct download links to full feedback reports Sentiment Indicators** - Color-coded visual feedback summaries Professional Templates** - Modern, responsive email designs Data Logging & Analytics Google Sheets Integration** - Automatic logging of all feedback submissions Complete Audit Trail** - Tracks submission IDs, timestamps, and processing status Analytics Ready** - Structured data perfect for dashboards and trend analysis Historical Records** - Permanent storage of all feedback data Team Notifications Slack Integration** - Real-time alerts to team channels Rich Formatting** - Structured messages with highlights and action items Direct Links** - Quick access to full PDF reports from Slack Thread Discussions** - Enable team conversations around feedback Robust Error Handling Email Validation** - Automatically checks and handles invalid email addresses Fallback Mechanisms** - Continues workflow even if email sending fails Data Cleaning** - Sanitizes and normalizes all input data Graceful Degradation** - AI parsing failures handled with intelligent fallbacks Demo Workflow Overview User Submits Feedback ↓ Data Cleaning & Validation ↓ AI Sentiment Analysis (OpenAI) ↓ HTML Report Generation ↓ PDF Conversion ↓ Email Validation ─┬─ Valid → Send Email └─ Invalid → Skip ↓ Log to Google Sheets ↓ Notify Team (Slack) ↓ Webhook Response Sample Input { "name": "Sarah Johnson", "email": "sarah@example.com", "rating": 4, "comments": "Great product! Delivery was a bit slow but customer service was helpful.", "suggestions": "Improve shipping speed and tracking updates." } Sample Output ✅ AI Analysis: "Positive" sentiment with 3 key highlights ✅ PDF Report: Professional 2-page document with branding ✅ Email Sent: Personalized thank-you message delivered ✅ Data Logged: New row added to Google Sheet ✅ Team Notified: Slack message with summary posted ✅ Webhook Response: 200 OK with submission details Prerequisites Required Services & Accounts n8n Instance (v0.220.0 or higher) Self-hosted or n8n Cloud Installation Guide OpenAI Account API key with GPT-3.5-turbo or GPT-4 access Sign Up Google Account (Gmail + Google Sheets) OAuth2 setup for Gmail API OAuth2 setup for Google Sheets API Setup Guide Slack Workspace Admin access to create apps or OAuth Bot token with chat:write and channels:read scopes Create Slack App HTML to PDF API Service GET at: PDFMunk API key required VerifiEmail API GET at: VerfiEmail API key required Quick Start 1. Import Template Option A: Import via URL Copy the workflow JSON URL and paste in n8n: Settings → Import from URL → [Paste URL] Option B: Import via File Download workflow.json In n8n: Workflows → Import from File Select the downloaded JSON file Click "Import" 2. Configure Credentials (5 minutes) Navigate to: Settings → Credentials and add: ✅ OpenAI API - Add API key from OpenAI dashboard ✅ Gmail OAuth2 - Connect and authorize your Gmail account ✅ Google Sheets OAuth2 - Use same Google account ✅ Slack OAuth2 - Install app to workspace and authorize ✅ HTML to PDF API - Add API key from your PDF service ✅ VerifiEmail API - Add API key from VerifiEmail dashboard 3. Create Google Sheet (2 minutes) Create a new Google Sheet named "Feedback Log" with these column headers: Submission ID | Timestamp | Name | Email | Rating | Sentiment | Comments | Suggestions | AI Summary | PDF URL | PDF Available Until | Email Sent 4. Configure Workflow (3 minutes) Open the imported workflow Click "Log Feedback Data" node Select your "Feedback Log" spreadsheet Click "Notify Team" node Select your Slack channel (e.g., #feedback) 5. Test & Activate (5 minutes) Execute the "Webhook" node to get test URL Send test POST request (see test data below) Verify all nodes execute successfully Check email, Google Sheet, and Slack Click "Active" toggle to enable workflow Total Setup Time: ~15-20 minutes Configuration Webhook Configuration The workflow receives feedback via POST webhook: URL Format: https://your-n8n-domain.com/webhook/feedback-submission Expected Payload: { "name": "string (required)", "email": "string (optional, validated)", "rating": "integer 1-5 (required)", "comments": "string (optional)", "suggestions": "string (optional)" } Usage Testing the Workflow Using Postman/Insomnia: Create new POST request URL: https://your-n8n-domain.com/webhook/feedback-submission Headers: Content-Type: application/json Body (raw JSON): { "name": "Test User", "email": "your-email@example.com", "rating": 5, "comments": "This is a test feedback submission. Everything works great!", "suggestions": "Maybe add more features in the future." } Send request Expected response (200 OK): { "success": true, "message": "Thank you for your feedback! We've sent you a detailed report via email.", "data": { "submissionId": "FB-1234567890123-abc123xyz", "name": "Test User", "email": "your-email@example.com", "rating": "5", "sentiment": "Positive", "emailSent": "true", "reportUrl": "https://generated-pdf-url.com/report.pdf", "reportAvailableUntil": "2025-11-10" } } Using cURL: curl -X POST https://your-n8n-domain.com/webhook/feedback-submission \ -H "Content-Type: application/json" \ -d '{ "name": "Sarah Johnson", "email": "sarah@example.com", "rating": 4, "comments": "Great product! Delivery was a bit slow but customer service was helpful.", "suggestions": "Improve shipping speed and tracking updates." }' Monitoring & Maintenance Daily: Check Slack for new feedback notifications Review Google Sheet for any anomalies Weekly: Verify workflow execution success rate Check OpenAI API usage and costs Review sentiment trends in Google Sheet Monthly: Analyze feedback patterns and trends Update AI prompts if needed Check PDF service usage limits Review and optimize workflow performance Best Practices Rate Limiting Monitor for spam submissions Add rate limiting to webhook if needed Use n8n's built-in throttling Data Privacy Ensure GDPR/privacy compliance Add data retention policies Implement data deletion workflow Error Handling Set up error notifications Create error logging workflow Monitor execution failures Performance Keep Google Sheet under 50,000 rows Archive old data quarterly Use database for high volume (1000+/month) Troubleshooting Common Issues Issue 1: Webhook Not Receiving Data Symptoms: Webhook node shows no executions Forms submit but nothing happens Solutions: ✅ Verify workflow is Active (toggle at top right) ✅ Check webhook URL is correct in form ✅ Test webhook with Postman/cURL first ✅ Check n8n logs for errors: Settings → Log Streaming ✅ Verify firewall/network allows incoming webhooks Issue 2: OpenAI Node Fails Symptoms: Error: "API key invalid" Error: "Insufficient credits" Node times out Solutions: ✅ Verify API key is correct and active ✅ Check OpenAI account has sufficient credits ✅ Check API usage limits: platform.openai.com/usage ✅ Increase node timeout in workflow settings ✅ Try with shorter feedback text Issue 3: PDF Not Generating Symptoms: "PDF generation failed" error Empty PDF URL 404 when accessing PDF Solutions: ✅ Verify PDF API key is valid ✅ Check API service status ✅ Verify HTML content is valid (test in browser) ✅ Check API usage limits/quota ✅ Try alternative PDF service Issue 4: Email Not Sending Symptoms: Gmail node shows error Email doesn't arrive "Permission denied" error Solutions: ✅ Re-authenticate Gmail OAuth2 credential ✅ Check email address is valid ✅ Check spam/junk folder ✅ Verify Gmail API is enabled in Google Console ✅ Check daily sending limits not exceeded ✅ Test with different email address Issue 5: Google Sheets Not Updating Symptoms: No new rows added "Spreadsheet not found" error Permission errors Solutions: ✅ Verify spreadsheet ID is correct ✅ Check sheet name matches exactly (case-sensitive) ✅ Verify column headers match exactly ✅ Re-authenticate Google Sheets credential ✅ Check spreadsheet isn't protected/locked ✅ Verify spreadsheet isn't full (limit: 10M cells) Issue 6: Slack Not Posting Symptoms: Slack node fails Message doesn't appear in channel "Channel not found" error Solutions: ✅ Verify bot is invited to channel: /invite @BotName ✅ Check bot has chat:write permission ✅ Re-authenticate Slack credential ✅ Verify channel ID is correct ✅ Check Slack workspace isn't on free plan limits ✅ Test with different channel Debugging Tips Enable Debug Mode Settings → Executions → Save execution progress Watch each node execute step-by-step Check Execution Logs Click on failed node View "Input" and "Output" tabs Check error messages Test Nodes Individually Click "Execute Node" on each node Verify output before proceeding Use Browser Console Open Developer Tools (F12) Check for JavaScript errors Monitor network requests Enable Verbose Logging For self-hosted n8n N8N_LOG_LEVEL=debug npm start 📄 License This template is licensed under the MIT License - see the LICENSE file for details.
by Growth AI
Automated project status tracking with Airtable and Motion Who's it for Project managers, team leads, and agencies who need to automatically monitor project completion status across multiple clients and send notifications when specific milestones are reached. What it does This workflow automatically tracks project progress by connecting Airtable project databases with Motion task management. It monitors specific tasks within active projects and triggers email notifications when key milestones are completed. The system is designed to handle multiple projects simultaneously and can be customized for various notification triggers. How it works The workflow follows a structured monitoring process: Data Retrieval: Fetches project information from Airtable (project names and Motion workspace IDs) Motion Integration: Connects to Motion API using HTTP requests to retrieve project details Project Filtering: Identifies only active projects with "Todo" status containing "SEO" in the name Task Monitoring: Checks for specific completed tasks (e.g., "Intégrer les articles de blog") Conditional Notifications: Sends email alerts only when target tasks are marked as "Completed" Database Updates: Updates Airtable with last notification timestamps Requirements Airtable account with project database Motion account with API access Gmail account for email notifications HTTP request authentication for Motion API How to set up Step 1: Configure your Airtable database Ensure your Airtable contains the following fields: Project names: Names of projects to monitor Motion Workspace ID: Workspace identifiers for Motion API calls Status - Calendrier éditorial: Project status field (set to "Actif" for active projects) Last sent - Calendrier éditorial: Timestamp tracking for notification frequency Email addresses: Client and team member contact information Step 2: Set up API credentials Configure the following authentication in n8n: Airtable Personal Access Token: For database access Motion API: HTTP header authentication for Motion integration Gmail OAuth2: For email notification sending Step 3: Configure Motion API integration Base URL: Uses Motion API v1 endpoints Project retrieval: Fetches projects using workspace ID parameter Task monitoring: Searches for specific task names and completion status Custom filtering: Targets projects with "SEO" in name and "Todo" status Step 4: Customize scheduling Default schedule: Runs daily between 10th-31st of each month at 8 AM Cron expression: 0 8 10-31 * * (modify as needed) Frequency options: Can be adjusted for weekly, daily, or custom intervals Step 5: Set up email notifications Configure Gmail settings: Recipients: Project managers, clients, and collaborators Subject line: Dynamic formatting with project name and month Message template: HTML-formatted email with professional signature Sender name: Customizable organization name How to customize the workflow Single project, multiple tasks monitoring To adapt for monitoring one project with several different tasks: Modify the filter conditions to target your specific project Add multiple HTTP requests for different task names Create conditional branches for each task type Set up different notification templates per task Multi-project customization Database fields: Add custom fields in Airtable for different project types Filtering logic: Modify conditions to match your project categorization Motion workspace: Support multiple workspaces per client Notification rules: Set different notification frequencies per project Alternative notification methods Replace or complement Gmail with: Slack notifications: Send updates to team channels Discord integration: Alert development teams SMS notifications: Urgent milestone alerts Webhook integrations: Connect to custom internal systems Teams notifications: Enterprise communication Task monitoring variations Multiple task types: Monitor different milestones (design, development, testing) Task dependencies: Check completion of prerequisite tasks Progress tracking: Monitor task progress percentages Deadline monitoring: Alert on approaching deadlines Conditional logic features Smart filtering system Active project detection: Only processes projects marked as "Actif" Date-based filtering: Prevents duplicate notifications using timestamp comparison Status verification: Confirms task completion before sending notifications Project type filtering: Targets specific project categories (SEO projects in this example) Notification frequency control Monthly notifications: Prevents spam by tracking last sent dates Conditional execution: Only sends emails when tasks are actually completed Database updates: Automatically records notification timestamps Loop management: Processes multiple projects sequentially Results interpretation Automated monitoring outcomes Project status tracking: Real-time monitoring of active projects Milestone notifications: Immediate alerts when key tasks complete Database synchronization: Automatic updates of notification records Team coordination: Ensures all stakeholders are informed of progress Email notification content Each notification includes: Project identification: Clear project name and context Completion confirmation: Specific task that was completed Calendar reference: Links to editorial calendars or project resources Professional formatting: Branded email template with company signature Action items: Clear next steps for recipients Use cases Agency project management Client deliverable tracking: Monitor when content is ready for client review Milestone notifications: Alert teams when phases complete Quality assurance: Ensure all deliverables meet completion criteria Client communication: Automated updates on project progress Editorial workflow management Content publication: Track when articles are integrated into websites Editorial calendar: Monitor content creation and publication schedules Team coordination: Notify writers, editors, and publishers of status changes Client approval: Alert clients when content is ready for review Development project tracking Feature completion: Monitor when development milestones are reached Testing phases: Track QA completion and deployment readiness Client delivery: Automate notifications for UAT and launch phases Team synchronization: Keep all stakeholders informed of progress Workflow limitations Motion API dependency: Requires stable Motion API access and proper authentication Single task monitoring: Currently tracks one specific task type per execution Email-only notifications: Default setup uses Gmail (easily expandable) Monthly frequency: Designed for monthly notifications (customizable) Project naming dependency: Filters based on specific naming conventions Manual configuration: Requires setup for each new project type or workspace
by Jitesh Dugar
Transform chaotic employee departures into secure, insightful offboarding experiences - achieving zero security breaches, 100% equipment recovery, and actionable retention insights from every exit interview. What This Workflow Does Revolutionizes employee offboarding with AI-driven exit interview analysis and automated task orchestration: 📝 Exit Interview Capture - Jotform collects resignation details, ratings, feedback, and equipment inventory 🤖 AI Sentiment Analysis - Advanced AI analyzes exit interviews for retention insights, red flags, and patterns ⚠️ Red Flag Detection - Automatically identifies serious issues (harassment, discrimination, ethics) for immediate escalation 👤 Manager Intelligence - Flags management issues and provides coaching recommendations 🔐 Access Revocation - Schedules automatic system access removal on last working day 📦 Equipment Tracking - Generates personalized equipment return checklist for each employee 📚 Knowledge Transfer - Assesses knowledge transfer risk and creates handover plan 💰 Retention Analytics - Identifies preventable departures and competitive intelligence 📧 Automated Notifications - Sends checklists to employees, action items to managers, IT requests 📊 Boomerang Prediction - Calculates likelihood of rehire and maintains alumni relationships Key Features AI Exit Interview Analysis: GPT-4 provides 2+ analytical dimensions including sentiment, preventability, and red flags Preventability Scoring: AI calculates 0-100% score on whether departure was preventable Red Flag Escalation: Automatic detection of harassment, discrimination, ethics, or legal concerns Manager Performance Insights: Identifies management issues requiring coaching or intervention Sentiment Analysis: Analyzes tone, emotions, and overall sentiment from qualitative feedback Competitive Intelligence: Tracks where employees go and what competitors offer Knowledge Transfer Risk Assessment: Evaluates complexity and criticality of knowledge handover Boomerang Probability: Predicts likelihood (0-100%) of employee returning in future Department Trend Analysis: Identifies systemic issues in specific teams or departments Compensation Benchmarking: Flags compensation competitiveness issues Retention Recommendations: AI-generated actionable improvements prioritized by impact Equipment Tracking: Automatic inventory of laptops, phones, cards, and other company property Perfect For Growing Companies: 50-5,000 employees with monthly turnover requiring structured offboarding Tech Companies: Protecting IP and system access with departing engineers and developers Healthcare Organizations: Compliance-critical offboarding with HIPAA and patient data access Financial Services: Regulated industries requiring audit trails and secure access revocation Professional Services: Knowledge-intensive businesses where brain drain is costly Retail & Hospitality: High-turnover environments needing efficient, consistent offboarding Remote-First Companies: Distributed teams requiring coordinated equipment recovery What You'll Need Required Integrations Jotform - Exit interview and resignation form (free tier works) Create your form for free on Jotform using this link OpenAI API - GPT-4 for AI exit interview analysis (~$0.20-0.50 per exit interview) Gmail - Automated notifications to employees, managers, IT, and HR Google Sheets - Exit interview database and retention analytics Quick Start Import Template - Copy JSON and import into n8n Add OpenAI Credentials - Set up OpenAI API key (GPT-4 for best insights) Create Jotform Exit Interview - Build comprehensive form with these sections: Configure Gmail - Add Gmail OAuth2 credentials Setup Google Sheets: Create spreadsheet with "Exit_Interviews" sheet Replace YOUR_GOOGLE_SHEET_ID in workflow Columns will auto-populate on first submission Customization Options AI Prompt Refinement: Tailor analysis for your industry, company culture, and specific concerns Red Flag Categories: Customize what constitutes a red flag for your organization Equipment Types: Add specialized equipment (tools, uniforms, parking passes) Access Systems: Integrate with your specific IT systems for automated revocation Knowledge Transfer Templates: Create role-specific handover checklists Manager Notifications: Add more details based on department or seniority Exit Interview Questions: Add industry-specific or company-specific questions Retention Focus Areas: Adjust AI to focus on specific retention priorities Rehire Workflows: Add automatic alumni network invitations for boomerang candidates Severance Processing: Add nodes for severance agreement generation and tracking Reference Check Process: Include reference policy notifications Benefits COBRA: Automate COBRA benefits notification workflows Expected Results Zero security breaches from lingering access - automated revocation on last day 100% equipment recovery - automated tracking and follow-up 3x faster offboarding - 30 minutes vs 2 hours of manual coordination 85% actionable insights from exit interviews vs 20% with manual reviews 60% improvement in identifying preventable turnover 90% manager compliance with knowledge transfer (vs 40% manual) 50% reduction in repeat management issues through coaching identification 40% increase in boomerang rehires through positive offboarding experience Complete audit trail for legal compliance and investigations Department-level insights identifying systemic retention issues Use Cases Tech Startup (100 Employees, High Growth) Engineer resigns to join competitor. AI detects compensation issue (40% below market), flags manager micromanagement concerns, and identifies preventable departure (preventability: 85%). HR immediately initiates compensation review for engineering team, schedules manager coaching, and retains 3 other engineers considering leaving. Access to codebase revoked automatically on last day. Boomerang probability: 70% - maintains relationship for future recruiting. Healthcare System (500 Nurses) Nurse leaves citing burnout. AI identifies systemic staffing issues in ER department affecting 15% of departures. Flags potential HIPAA violation concern requiring investigation. Automatically revokes EHR access on final day. Equipment recovery (badge, pager, scrubs) tracked with 100% success. Exit insights lead to ER staffing model changes, reducing nurse turnover by 30%. Financial Services Firm Compliance officer departs. AI red flags potential ethics concern requiring immediate investigation. Legal team notified within minutes. Knowledge transfer flagged as "critical risk" due to regulatory expertise. Detailed 30-day handover plan auto-generated. All system access revoked immediately. Complete audit trail maintained for regulatory review. Investigation reveals process gap, not ethical issue, preventing regulatory exposure. Retail Chain (2,000 Employees) Store manager exits. AI aggregates insights across 50 recent retail departures, identifying district manager as common thread (manager rating consistently 2/5). Regional HR intervenes with district manager coaching. Equipment return (keys, registers codes, uniforms) automated via checklist. 95% equipment recovery vs previous 60%. Sentiment trends show seasonal staff prefer flexible scheduling - policy updated chain-wide. Remote Software Company Developer in different timezone resigns. Automated offboarding coordinates across 3 time zones: access revoked at EOD local time, equipment return label emailed internationally, knowledge transfer scheduled with overlap hours. AI detects "career growth" as preventable issue - company implements career ladder framework, reducing senior developer attrition by 45%. Pro Tips Timing Matters: Send Jotform link 1 week before last day for honest feedback (not on exit day) Anonymity Option: Consider anonymous feedback for more candid responses (separate form) Benchmark Scoring: After 50+ exits, calculate your company's average preventability score Manager Patterns: Track exits by manager to identify coaching needs early Department Trends: Monthly reviews of AI insights by department for systemic issues Compensation Data: Cross-reference "compensation issue" flags with market data Boomerang Program: Create formal alumni network for high-probability boomerang candidates Equipment Deposits: Consider requiring deposits for easier equipment recovery Exit Interview Training: Train managers on how to act on AI insights constructively Legal Review: Have legal team review red flag escalation categories quarterly Continuous Improvement: Use AI recommendations to create quarterly retention action plans Stay Interviews: Use exit interview insights to inform "stay interview" questions for current employees Learning Resources This workflow demonstrates advanced n8n automation patterns: AI Agents with complex structured output for multi-dimensional analysis, Sentiment analysis and natural language processing Conditional escalation based on severity and red flags Multi-stakeholder notifications with role-specific messaging Risk assessment algorithms for knowledge transfer and preventability Pattern recognition across qualitative feedback Equipment inventory management with dynamic list generation Compliance automation for access revocation scheduling Predictive analytics for boomerang probability Perfect for learning AI-powered HR automation and organizational analytics! 📊 Workflow Architecture 📝 Jotform Exit Interview Submission ↓ 🧾 Parse Offboarding Data ↓ 🤖 AI Exit Interview Analysis (GPT-4) │ ├─ Retention analysis (preventability scoring) │ ├─ Sentiment analysis (tone, emotions) │ ├─ Manager performance evaluation │ ├─ Department insights │ ├─ Compensation benchmarking │ ├─ Knowledge transfer risk assessment │ ├─ Competitor intelligence │ ├─ Red flag detection │ ├─ Boomerang probability │ └─ Action item generation ↓ 🔗 Extract AI Analysis (JSON) ↓ 🧩 Merge Exit Analysis with Data │ ├─ Calculate days until last day │ ├─ Build equipment checklist │ └─ Assess urgency levels ↓ ⚠️ Has Red Flags? ├─ TRUE → 🚨 Send Red Flag Alert (HR Director/Legal) │ ↓ └─ FALSE → 📧 Send Manager Action Items ↓ ✉️ Send Employee Checklist ↓ 🔐 Send IT Offboarding Request ↓ 📊 Log to Google Sheets Ready to transform employee offboarding? Import this template and turn departures into retention insights while maintaining security and professionalism. Every exit becomes a learning opportunity! 🚪✨ Questions or customization needs? The workflow includes detailed sticky notes explaining each AI analysis component and routing decision.