Workflow Templates

WhatsApp Micro-CRM with Baserow & WasenderAPI Struggling to manage WhatsApp client communications? This n8n workflow isn't just automation; it's your centralized CRM solution for small businesses and freelancers. How it works Capture Every Message:** Integrates WhatsApp messages directly via WasenderAPI. Effortless Contact Management:** Automates contact data standardization and intelligently manages records (creating new or updating existing profiles). Rich Client Profiles:** Retrieves profile pictures and decrypts image media, giving you full context. Unified Data Hub:** Centralizes all conversations and media in Baserow, no more scattered interactions. Setup Steps Setup is incredibly fast; you can deploy this in under 15 minutes. Here's what you'll do: Link WasenderAPI:** Connect your WasenderAPI webhooks directly to n8n. Set up Baserow:** Duplicate our pre-built 'Contacts' (link) and 'Messages' (link) Baserow table templates. Secure Your Data:** Input your API credentials (WasenderAPI and Baserow) directly into n8n. Every single step is fully detailed in the workflow's sticky notes – we've made it foolproof. Requirements What do you need to get started? An active n8n instance (self-hosted or cloud). A WasenderAPI.com subscription or trial. A Baserow account. Note: Keep the flow layout as is! This will ensure that the flow is running in the correct order.

Transform your lead qualification process with automated AI-powered phone calls triggered directly from Salesforce lead creation. What this workflow does: Webhook Trigger: Receives new lead data from Salesforce Automated Calling: Initiates phone calls via Retell AI Smart Monitoring: Polls call status until completion AI Analysis: Uses OpenAI to analyze call transcripts Salesforce Integration: Creates follow-up tasks with insights Perfect for: Sales teams wanting to qualify leads faster Companies using Salesforce CRM Organizations looking to automate initial prospect outreach Teams wanting AI-powered call analysis You'll need: Salesforce org with lead creation triggers Retell AI account and agent setup OpenAI API access Basic n8n workflow knowledge Setup time: ~15 minutes Author: Sri Kolagani Template Type: Free

🧠 Overview This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordingly. Each specialist (copywriter, SEO expert, brand strategist, etc.) operates independently using fast, cost-effective GPT-4.1-mini models—resulting in parallel task execution and full-funnel marketing output with minimal human input. ⚙️ How It Works A chat message trigger listens for input (e.g. “Write a full email funnel for our SaaS launch”). The CMO Agent (powered by OpenAI O3) reads the message and determines intent, strategy, and needed outputs. It dynamically delegates tasks to the correct AI agent: Copywriter Agent Facebook Ads Specialist SEO Content Writer Email Marketer Social Media Manager Brand Voice Specialist Each agent uses a dedicated GPT-4.1-mini model to produce results instantly. Final content is returned to the user or passed along for integration with your CMS, ad platforms, or CRM. 🧰 Tools Used n8n** – Orchestrates the entire agent communication and routing logic OpenAI O3** – Advanced strategic reasoning (CMO Agent) OpenAI GPT-4.1-mini** – Fast and cost-efficient for specialist agents LangChain Nodes** – For multi-agent thinking and tool-based execution 🚀 Quick Start Import Workflow: Load the provided .json into your n8n instance Set Credentials: Add your OpenAI API key under “OpenAI Account” Deploy Webhook: Use the “When Chat Message Received” trigger Test It: Ask a question like: > “Generate a 7-day onboarding email sequence for a weight loss app” Watch the Agents Collaborate! 👩‍💼 Meet Your AI Marketing Team | Agent | Purpose | Model | Output | |-------|---------|-------|--------| | 🧠 CMO Agent | Strategy, delegation, and task routing | O3 | Central brain | | ✍️ Copywriter Agent | Website copy, CTAs, product descriptions | GPT-4.1-mini | Fast, human-like copy | | 📱 Facebook Ads Copywriter | Ad headlines, angles, A/B tests | GPT-4.1-mini | Platform-specific ad copy | | 🔍 SEO Writer | Blog posts, keyword-rich content | GPT-4.1-mini | Long-form content | | 📧 Email Specialist | Sequences, newsletters, welcome flows | GPT-4.1-mini | Funnel-ready emails | | 📲 Social Media Manager | Content calendars, posts, hashtags | GPT-4.1-mini | Cross-platform content | | 🎨 Brand Voice Specialist | Tone consistency, style guides | GPT-4.1-mini | On-brand text | 💡 Use Cases Product Launches:** Strategy → Landing Page → Emails → Social Posts Lead Nurture Funnels:** Segmented email campaigns with consistent tone Content Sprints:** Generate 30+ blog posts and socials in a day Ad Variations:** Create 20 ad angles in 30 seconds Brand Guidelines:** Enforce consistent messaging across departments 💸 Cost Optimization Use O3 sparingly—only for strategic tasks All specialist agents use GPT-4.1-mini for low-latency, high-efficiency generation Run agents in parallel to reduce wait times Add caching for repeat requests 🔧 Customization Tips Edit the tool prompts to match your brand’s style and niche Connect outputs to Google Sheets, Notion, Slack, or email tools Integrate with Zapier, Make.com, or your CRM for full automation 🔗 Connect With Me Website:** nofluff.online YouTube:** @YaronBeen LinkedIn:** Yaron Been 🏷️ Tags #n8n #OpenAI #MarketingAI #CMOagent #Automation #GPT4 #LangChain #NoCode #MarketingTeam #AIWorkflow #EmailMarketing #SEO #Copywriting #SocialMedia #DigitalMarketing #BrandVoice #AItools #MultiAgentSystem #ContentCreation #MarketingStrategy #ContentOps

This n8n template implements a Chatbot with Google Gemini to Check Domain Name Availability using the WHMCS API Who's it for This template is designed for domain registrars, web hosting companies, and IT service providers who use WHMCS (Web Host Manager Complete Solution) and want to offer automated domain availability checking to their customers. It's perfect for businesses looking to enhance their customer support with AI-powered domain search assistance. How it works / What it does This workflow creates an AI-powered customer support chatbot that automatically checks domain name availability using WHMCS API integration. When customers ask about domain availability, the AI agent: Receives customer queries through a webhook endpoint Processes natural language requests using Google Gemini AI Automatically checks domain availability via WHMCS DomainWhois API Provides verified, accurate responses with available alternatives Maintains conversation context throughout the session The system ensures 100% accuracy by only suggesting domains that have been verified as available, eliminating guesswork and improving customer trust. How to set up 1. Configure WHMCS API Credentials Replace Your_WHMCS_Identifier with your actual WHMCS API identifier Replace Your_WHMCS_Secret with your actual WHMCS API secret Update https://your_whmcs_url.com/includes/api.php with your WHMCS domain 2. Set up Google Gemini API Configure your Google Gemini API credentials in the Google Gemini Chat Model node Ensure you have sufficient API quota for your expected usage 3. Deploy the Webhook The workflow creates a unique webhook endpoint for receiving customer queries Use this endpoint URL in your customer-facing application or chat interface 4. Test the Integration Send a test query to verify domain checking functionality Ensure proper error handling and response formatting Requirements WHMCS installation** with API access enabled Google Gemini API account** with appropriate credentials n8n instance** (self-hosted or cloud) Domain registrar business** or similar service offering How to customize the workflow Modify AI Agent Behavior Edit the system message in the AI Agent node to change the bot's personality and response style Adjust response length and tone to match your brand voice Add Additional Tools Integrate with other WHMCS APIs for pricing, registration, or management Add notification systems (email, Slack, SMS) for high-value domain inquiries Implement rate limiting or usage tracking Enhance Customer Experience Add domain suggestion algorithms based on customer input Integrate with your existing customer database for personalized recommendations Add multi-language support for international customers Security Enhancements Implement API key rotation and monitoring Add request validation and sanitization Set up usage analytics and abuse prevention Key Features Real-time domain availability checking** via WHMCS API AI-powered natural language processing** for customer queries Session-based memory** for contextual conversations Automatic alternative domain suggestions** when requested domains are unavailable Professional, customer-focused responses** that maintain brand standards Scalable webhook architecture** for high-volume usage Use Cases Customer support automation** for domain registrars Sales team assistance** with real-time domain availability Customer self-service portals** with intelligent domain search Lead generation** through proactive domain suggestions Customer retention** via improved support experience This template transforms your domain business by providing instant, accurate domain availability information while maintaining the personal touch that customers expect from professional service providers.

Nano Banana AI Image Editor Transform your Telegram photos with AI-powered image processing using the revolutionary Nano Banana technology. This workflow automatically receives photos via Telegram, processes them through Google's advanced Gemini 2.5 Flash vision model, and sends back intelligently enhanced images - all powered by the innovative Nano Banana processing pipeline. Who's it for Perfect for content creators, social media managers, photographers, and anyone who wants to automatically enhance their Telegram photos with AI. Whether you're running a photo editing service, creating content for clients, or just want smarter image processing in your personal chats, the Nano Banana AI editor delivers professional-grade results. How it works The Nano Banana workflow creates an intelligent Telegram bot that processes images in real-time. When you send a photo with a caption to your bot, it automatically downloads the image, converts it to the proper format, sends it to Google's Gemini AI for analysis and enhancement, then returns the processed result. The Nano Banana engine optimizes every step for speed and quality. How to set up Create Telegram Bot: Get your bot token from @BotFather on Telegram OpenRouter Account: Sign up at openrouter.ai for free Gemini access Configure Credentials: Add your Telegram and OpenRouter API keys to n8n Update Chat ID: Replace "YOUR_CHAT_ID_HERE" with your actual Telegram chat ID Activate Webhook: Enable the Telegram trigger to start receiving messages Requirements n8n instance (cloud or self-hosted) Telegram Bot API credentials OpenRouter account (free tier available) Basic understanding of webhook configuration How to customize the workflow The Nano Banana editor is highly customizable: Change AI Model:** Modify the model parameter in "Nano Banana Image Processor" node Add Filters:** Insert additional processing nodes before the AI analysis Custom Prompts:** Edit the text content sent to Gemini for different processing styles Multiple Chats:** Duplicate the final node for different Telegram destinations Error Handling:** Add conditional logic for failed processing attempts Batch Processing:** Extend to handle multiple images simultaneously The Nano Banana technology ensures optimal performance while maintaining flexibility for your specific use cases.

This n8n template from Intuz provides a complete solution to automate your order creation process. It seamlessly syncs order data from an Airtable base directly to your Shopify store, creates the official order, and automatically sends a beautiful confirmation email to the customer, closing the loop by updating the status in Airtable. Who's this workflow for? E-commerce Managers Operations Teams Businesses with Custom Order Processes (e.g., B2B, phone orders, quotes) Shopify Store Owners using Airtable as a CRM How it works 1. Triggered from Airtable: The workflow starts instantly when an Airtable Automation sends a signal via a webhook. This happens when you mark an order as ready to be processed in your Airtable base. 2. Fetch Order Details: n8n receives the record ID from Airtable and fetches the complete order details, including customer information and the specific line items for that order. 3. Create Order in Shopify: All the gathered information is used to create a new, official order directly in your Shopify store. 4. Send Confirmation Email: Once the order is successfully created in Shopify, a professionally formatted HTML order confirmation email is sent to the customer via Gmail. 5. Update Airtable Status: Finally, the workflow updates the original order record in Airtable, marking its status as "Done" to prevent duplicate processing and keep your records in sync. Key Requirements to Use This Template 1. n8n Instance: An active n8n account (Cloud or self-hosted). 2. Airtable Base: An Airtable base on a "Pro" plan or higher (required for Airtable Automations). It should contain tables for Orders and Order Line Items. 3. Shopify Store: An active Shopify store with API access permissions. 4. Gmail Account: A Gmail account to send confirmation emails. Setup Instructions 1. Configure the n8n Workflow: Webhook Node: Activate the workflow to get the Production URL from the "Webhook" node. Copy this URL. Airtable Nodes: In the Get a record and Update record nodes, connect your Airtable credentials and select the correct Base and Table IDs. Shopify Node: In the Create an order node, connect your Shopify store using OAuth2 credentials. Gmail Node: In the Send a message node, connect your Gmail account. 2. Set Up the Airtable Automation (Crucial Step): Go to your Airtable base and click on "Automations". Create a new automation. For the trigger, select "When a record meets conditions". Choose your Orders table and set a condition that makes sense for you (e.g., When "Shopify Ordered" is "Pending"). For the action, choose "Run a script". Paste the code below into the script editor: JavaScript const inputConfig = input.config(); const recordId = inputConfig.recordId; const webhookUrl = 'PASTE_YOUR_N8N_PRODUCTION_URL_HERE'; await fetch(webhookUrl, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ recordId: recordId }), }); ReplacePASTE_YOUR_N8N_PRODUCTION_URL_HERE with the Production URL you copied from n8n. Add an input variable to the script named recordId and set its value to the "Airtable record ID" from the trigger step. Test the script and turn your Airtable Automation ON. 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 Workflow Automation Click here- Get Started

🤖 Instagram DM Automation Workflow Category: Marketing & Lead Engagement Tags: Instagram, Puppeteer, Automation, Google Sheets, Lead Nurturing 🧠 Overview This workflow automates Instagram DMs, engagement, and story interactions using Puppeteer in the backend. It connects to Google Sheets to fetch leads (usernames and messages) and sends personalized DMs one by one — while also mimicking human behavior by scrolling, liking posts, and viewing stories. It’s designed to help marketers and businesses capture, nurture, and convert leads on Instagram — fully automated and AI-assisted. ⚙️ How It Works 1. Fetch Leads from Google Sheets 2. Send Instagram DMs via Puppeteer Backend 3. Simulate Human Actions 4. Update Lead Status 5. Rate Limit Handling 🧭 Setup Steps > ⏱️ Estimated setup time: ~10–15 minutes 1. Prerequisites Active Google Sheets API connection with OAuth2 credentials. Puppeteer-based backend running locally or remotely. Node.js-based service handling: /login /instagram /viewstory /logthis 2. Connect Google Sheets Use your Google account to authorize Google Sheets access. Add your Sheet ID in: leads → for usernames & messages. acc → for active accounts tracking. 3. Configure Webhook Copy your Webhook URL from n8n. Use it to trigger the workflow manually or via external API. 4. Adjust Timing Edit Code in JavaScript nodes if you want to: Change DM delay (20–30s default) Adjust story viewing delay (4.5–5.5 minutes) 5. Test Before Deploy Run in test mode with 1–2 sample leads. Check that: DM is sent. Google Sheet updates status. Backend logs actions. 🧾 Notes Inside the Workflow You’ll find Sticky Notes within the workflow for detailed guidance, covering: ✅ Setup sequence 💬 Message sending logic ⏳ Delay handling 📊 Google Sheets updates ⚠️ Rate-limit prevention 🔁 Loop control and retry mechanism 🚀 Use Cases — ⚙️ Automate lead nurturing via Instagram DMs. 🤖 Send AI-personalized messages to prospects. 👥 Simulate real human actions (scroll, like, view stories). 🔥 Safely warm up new accounts with timed delays. 📊 Auto-update Google Sheets with DM status & timestamps. 💬 Run outbound messaging campaigns hands-free. 🧱 Handle rate limits smartly and continue smoothly. 🚀 Boost engagement, replies, and conversions with automation.

Schedule appointments from phone calls with AI using Twilio and ElevenLabs This n8n template creates an intelligent phone receptionist that handles incoming calls, answers FAQs, and schedules appointments to Google Calendar. The system uses Twilio for phone handling, ElevenLabs for voice AI and basic conversations, and n8n for complex scheduling logic—keeping responses snappy by only invoking the workflow when calendar operations are needed. Who's it for Businesses that need automated phone scheduling: service companies, clinics, consultants, or any business that takes appointments by phone. Perfect for reducing administrative overhead while maintaining a professional caller experience. Good to know Redis memory is essential—without it, the AI must reparse entire conversations causing severe lag in voice responses Claude 3.5 Sonnet is recommended for best scheduling results Typical response times: ElevenLabs-only responses <1s, n8n tool calls 2-4s All placeholder values must be customized or scheduling will fail How it works Twilio receives incoming calls and forwards to ElevenLabs voice AI ElevenLabs handles casual conversation and FAQ responses instantly When calendar operations are needed, ElevenLabs calls your n8n webhook n8n checks Google Calendar availability using your business rules Claude AI agent processes the request, collects required information, and schedules appointments Redis maintains conversation context across the call Calendar invites are automatically sent to customers How to set up Connect Twilio to ElevenLabs: In Twilio Console, set your phone number webhook to your ElevenLabs agent URL Configure ElevenLabs tools: Add "Client Tools" in ElevenLabs that point to your n8n webhook for checking availability, creating appointments, and updating appointments Set n8n webhook path: Replace REPLACE ME in the "Webhook: Receive User Request" node with a secure endpoint (e.g., /elevenlabs-voice-scheduler) Configure Google Calendar: Replace all REPLACE ME instances with your Calendar ID in the three calendar nodes (Check Availability, Create Appointment, Update Event) Set up Redis: Configure connection details in the "Redis Chat Memory" node Customize scheduling prompt: In the "Voice AI Agent" node, replace all bracketed placeholders with your business details: [TIMEZONE], [START_TIME], [END_TIME], [OPERATING_DAYS], [BLOCKED_DAYS] [MINIMUM_LEAD_TIME], [APPOINTMENT_DURATION], [SERVICE_TYPE] [REQUIRED_FIELDS], [REQUIRED_NOTES_FIELDS] Test: Make a test call to verify availability checking, information collection, and appointment creation Requirements Twilio account with phone number ElevenLabs Conversational AI account Google Calendar with OAuth2 credentials Redis instance (for session management) Anthropic API key (for Claude AI)

Use cases are many: Automate Gmail tasks such as sending, replying, labeling, deleting, and fetching emails — all with AI assistance. Perfect for YouTubers managing viewer emails, sales teams handling inquiries, freelancers responding to client requests, or professionals keeping their inbox organized. Good to know At time of writing, each Gemini request is billed per token. See Gemini Pricing for updated details. The workflow uses Gmail labels (e.g., youtube-viewers, sales-inquiry, meeting-request, potential-clients, collaboration-requests) for classification — make sure these exist in your Gmail account. How it works Chat Trigger**: You interact with the agent via a chat interface (webhook). AI Agent**: Gemini-powered assistant interprets your instructions (send, reply, label, delete, fetch emails). Email Actions**: Based on your request, the assistant uses Gmail tools to act on emails (Send, Reply, Label, Delete, Get Many). Contact Lookup**: If only a name is provided, the agent checks Google Sheets for the matching email address. If not found, it prompts you to add it. Memory**: A buffer memory stores chat context so the assistant can maintain continuity across multiple interactions. Labeling**: Emails can be auto-labeled for better organization (e.g., client inquiries, meeting requests). How to use Send commands like: “Reply to John’s email with a follow-up about the project.” “Label Sarah’s email as potential-client.” “Delete the latest spam email.” The Gmail Agent will handle the request instantly and keep everything logged properly. Requirements Gmail account connected with OAuth2 credentials Google Gemini API key for AI processing Google Sheets for contact management Pre-created Gmail labels for organization Customising this workflow Add new Gmail labels for your workflow (e.g., Invoices, Support Tickets). Connect to a CRM (e.g., HubSpot, Notion, or Airtable) for syncing email data. Enhance AI replies with dynamic templates stored in Google Sheets. Extend chat commands to include batch actions (e.g., “Archive all emails older than 30 days”).

This workflow is a simple example of using n8n as an AI chat interface into Appian. It connects a local LLM, persistent memory, and API tools to demonstrate how an agent can interact with Appian tasks. What this workflow does Chat interface: Accepts user input through a webhook or chat trigger Local LLM (Ollama): Runs on qwen2.5:7b with an 8k context window Conversation memory: Stores chat history in Postgres, keyed by sessionId AI Agent node: Handles reasoning, follows system rules (helpful assistant persona, date formatting, iteration limits), and decides when to call tools Appian integration tools: List Tasks: Fetches a user’s tasks from Appian Create Task: Submits data for a new task in Appian (title, description, hours, cost) How it works A user sends a chat message The workflow normalizes fields such as text, username, and sessionId The AI Agent processes the message using Ollama and Postgres memory If the user asks about tasks, the agent calls the Appian APIs The result, either a task list or confirmation of a new task, is returned through the webhook Why this is useful Demonstrates how to build a basic Appian connector in n8n with an AI chat front end Shows how an LLM can decide when to call Appian APIs to list or create tasks Provides a pattern that can be extended with more Appian endpoints, different models, or custom system prompts

Description A production-ready authentication workflow implementing secure user registration, login, token verification, and refresh token mechanisms. Perfect for adding authentication to any application without needing a separate auth service. Get started with n8n now! What it does This template provides a complete authentication backend using n8n workflows and Data Tables: User Registration**: Creates accounts with secure password hashing (SHA-512 + unique salts) Login System**: Generates access tokens (15 min) and refresh tokens (7 days) using JWT Token Verification**: Validates access tokens for protected endpoints Token Refresh**: Issues new access tokens without requiring re-login Security Features**: HMAC-SHA256 signatures, hashed refresh tokens in database, protection against rainbow table attacks Why use this template No external services**: Everything runs in n8n - no Auth0, Firebase, or third-party dependencies Production-ready security**: Industry-standard JWT implementation with proper token lifecycle management Easy integration**: Simple REST API endpoints that work with any frontend framework Fully customizable**: Adjust token lifespans, add custom user fields, implement your own business logic Well-documented**: Extensive inline notes explain every security decision and implementation detail How to set up Prerequisites n8n instance (cloud or self-hosted) n8n Data Tables feature enabled Setup Steps Create Data Tables: users table: id, email, username, password_hash, refresh_token refresh_tokens table: id, user_id, token_hash, expires_at Generate Secret Keys: Run this command to generate a random secret: node -e "console.log(require('crypto').randomBytes(32).toString('hex'))" Generate two different secrets for ACCESS_SECRET and REFRESH_SECRET Configure Secrets: Update the three "SET ACCESS AND REFRESH SECRET" nodes with your generated keys Or migrate to n8n Variables for better security (instructions in workflow notes) Connect Data Tables: Open each Data Table node Select your created tables from the dropdown Activate Workflow: Save and activate the workflow Note your webhook URLs API Endpoints Register: POST /webhook/register-user Request body: { "email": "user@example.com", "username": "username", "password": "password123" } Login: POST /webhook/login Request body: { "email": "user@example.com", "password": "password123" } Returns: { "accessToken": "...", "refreshToken": "...", "user": {...} } Verify Token: POST /webhook/verify-token Request body: { "access_token": "your_access_token" } Refresh: POST /webhook/refresh Request body: { "refresh_token": "your_refresh_token" } Frontend Integration Example (Vue.js/React) Login flow: const response = await fetch('https://your-n8n.app/webhook/login', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ email, password }) }); const { accessToken, refreshToken } = await response.json(); localStorage.setItem('accessToken', accessToken); Make authenticated requests: const data = await fetch('https://your-api.com/protected', { headers: { 'Authorization': Bearer ${accessToken} } }); Key Features Secure Password Storage**: Never stores plain text passwords; uses SHA-512 with unique salts Two-Token System**: Short-lived access tokens (security) + long-lived refresh tokens (convenience) Database Token Revocation**: Refresh tokens can be revoked for logout-all-devices functionality Duplicate Prevention**: Checks username and email availability before account creation Error Handling**: Generic error messages prevent information leakage Extensive Documentation**: 30+ sticky notes explain every security decision Use Cases SaaS applications needing user authentication Mobile app backends Internal tools requiring access control MVP/prototype authentication without third-party costs Learning JWT and auth system architecture Customization Token Lifespan**: Modify expiration times in "Create JWT Payload" nodes User Fields**: Add custom fields to registration and user profile Password Rules**: Update validation in "Validate Registration Request" node Token Rotation**: Implement refresh token rotation for enhanced security (notes included) Security Notes :warning: Important: Change the default secret keys before production use Use HTTPS for all webhook endpoints Store secrets in n8n Variables (not hardcoded) Regularly rotate secret keys in production Consider rate limiting for login endpoints Support & Documentation The workflow includes comprehensive documentation: Complete authentication flow overview Security explanations for every decision Troubleshooting guide Setup instructions FAQ section with common issues Perfect for developers who want full control over their authentication system without the complexity of managing separate auth infrastructure. Get Started with n8n now! Tags: authentication, jwt, login, security, user-management, tokens, password-hashing, api, backend

CDO Agent with Data Analytics Team Description Complete AI-powered data analytics department with a Chief Data Officer (CDO) agent orchestrating specialized data team members for comprehensive data science, business intelligence, and analytics operations. Overview This n8n workflow creates a comprehensive data analytics department using AI agents. The CDO agent analyzes data requests and delegates tasks to specialized agents for data science, business intelligence, data engineering, machine learning, data visualization, and data governance. Features Strategic CDO agent using OpenAI O3 for complex data strategy and decision-making Six specialized data analytics agents powered by GPT-4.1-mini for efficient execution Complete data analytics lifecycle coverage from collection to insights Automated data pipeline management and ETL processes Advanced machine learning model development and deployment Interactive data visualization and business intelligence reporting Comprehensive data governance and compliance frameworks Team Structure CDO Agent**: Data strategy leadership and team delegation (O3 model) Data Scientist Agent**: Statistical analysis, predictive modeling, machine learning algorithms Business Intelligence Analyst Agent**: Business metrics, KPI tracking, performance dashboards Data Engineer Agent**: Data pipelines, ETL processes, data warehousing, infrastructure Machine Learning Engineer Agent**: ML model deployment, MLOps, model monitoring Data Visualization Specialist Agent**: Interactive dashboards, data storytelling, visual analytics Data Governance Specialist Agent**: Data quality, compliance, privacy, governance policies How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send data analytics requests via chat (e.g., "Analyze customer churn patterns and create predictive models") The CDO will analyze and delegate to appropriate specialists Receive comprehensive data insights and deliverables Use Cases Predictive Analytics**: Customer behavior analysis, sales forecasting, risk assessment Business Intelligence**: KPI tracking, performance analysis, strategic business insights Data Engineering**: Pipeline automation, data warehousing, real-time data processing Machine Learning**: Model development, deployment, monitoring, and optimization Data Visualization**: Interactive dashboards, executive reporting, data storytelling Data Governance**: Quality assurance, compliance frameworks, data privacy protection Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CDO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with data platforms and analytics tools Cost Optimization O3 model used only for strategic CDO decisions and complex data strategy GPT-4.1-mini provides 90% cost reduction for specialist data tasks Parallel processing enables simultaneous agent execution Template libraries reduce redundant analytics development work Integration Options Connect to data platforms (Snowflake, BigQuery, Redshift, Databricks) Integrate with BI tools (Tableau, Power BI, Looker, Grafana) Link to ML platforms (AWS SageMaker, Azure ML, Google AI Platform) Export to business applications and reporting systems Disclaimer: This workflow is provided as a building block for your automation needs. Please review and customize the agents, prompts, and connections according to your specific data analytics requirements and organizational structure. Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #DataAnalytics #DataScience #BusinessIntelligence #MachineLearning #DataEngineering #DataVisualization #DataGovernance #PredictiveAnalytics #BigData #DataDriven #DataStrategy #AnalyticsAutomation #DataPipelines #MLOps #DataQuality #BusinessMetrics #KPITracking #DataInsights #AdvancedAnalytics #n8n #OpenAI #MultiAgentSystem #DataTeam #AnalyticsWorkflow #DataOperations