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1479 Workflow Automation Templates

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Newcomer essentials: learn by doing

Creating an API endpoint

Task: Create a simple API endpoint using the Webhook and Respond to Webhook nodes Why: You can prototype or replace a backend process with a single workflow Main use cases: Replace backend logic with a workflow

Jonathan

AI key concepts

AI agent chat

n8n Team

AI chat with any data source (using the n8n workflow tool)

David Roberts

Chat with OpenAI Assistant (by adding a memory)

David Roberts

Use an open-source LLM (via HuggingFace)

n8n Team

+10

Chat with PDF docs using AI (quoting sources)

David Roberts

AI agent that can scrape webpages

Eduard

Featured AI templates

Auto-label incoming Gmail messages with AI nodes

This workflow uses AI to analyze the content of every new message in Gmail and then assigns specific labels, according to the context of the email. Default configuration of the workflow includes 3 labels: „Partnership” - email about sponsored content or cooperation, „Inquiry” - email about products, services, „Notification” - email that doesn't require response. You can add or edit labels and descriptions according to your use case. 🎬 See this workflow in action in my YouTube video about automating Gmail. Gmail trigger performs polling every minute for new messages (you can change the trigger interval according to your needs). The email content is then downloaded and forwarded to an AI chain. 💡 The prompt in the AI chain node includes instructions for applying labels according to the email content - change label names and instructions to fit your use case. Next, the workflow retrieves all labels from the Gmail account and compares them with the label names returned from the AI chain. Label IDs are aggregated and applied to processed email messages. ⚠️ Label names in the Gmail account and workflow (prompt, JSON schema) must be the same. Set credentials for Gmail and OpenAI. Add labels to your Gmail account (e.g. „Partnership”, „Inquiry” and „Notification”). Change prompt in AI chain node (update list of label names and instructions). Change list of available labels in JSON schema in parser node. Optionally: change polling interval in Gmail trigger (by default interval is 1 minute). If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.

Oskar

Compose reply draft in Gmail with OpenAI Assistant

Oskar

ChatGPT Automatic Code Review in Gitlab MR

assert

Write a WordPress post with AI (starting from a few keywords)

Giulio

+11

Suggest meeting slots using AI

n8n Team

Popular AI integrations

Chat with a Google Sheet using AI

David Roberts

Chat with OpenAIs GPT via a simple Telegram Bot

Mike

+10

Chat with PDF docs using AI (quoting sources)

David Roberts

Slack chatbot powered by AI

n8n Team

Trending AI templates

Add AI to search

Trending AI templates

Verify and enrich your new leads and contacts

Scrape recent news about a company before a call

Milorad Filipović

Verify emails & enrich new form leads and save them to HubSpot

Niklas Hatje

Enrich new leads in Pipedrive and send an alert to Slack for high-quality ones

Niklas Hatje

Automate your outreach and follow-ups

Send follow-ups using Gmail to Hubspot contacts

Mutasem

Reach out via Email to new form submissions that meet a certain criteria

Niklas Hatje

Automatically email great leads when they submit a form and record in HubSpot

Mutasem

Gmail campaign sender: Bulk-send emails and follow up automatically if no reply

David Roberts

Featured templates

+14

Automate SIEM Alert Enrichment with MITRE ATT&CK, Qdrant & Zendesk in n8n

This workflow is ideal for: Cybersecurity teams & SOC analysts* who want to automate *SIEM alert enrichment**. IT security professionals* looking to integrate *MITRE ATT&CK intelligence** into their ticketing system. Organizations using Zendesk for security incidents* who need enhanced *contextual threat data**. Anyone using n8n and Qdrant* to build *AI-powered security workflows**. Security teams receive large volumes of raw SIEM alerts that lack actionable context. Investigating every alert manually is time-consuming and can lead to delayed response times. This workflow solves this problem by: ✔ Automatically enriching SIEM alerts with MITRE ATT&CK TTPs. ✔ Tagging & classifying alerts based on known attack techniques. ✔ Providing remediation steps to guide the response team. ✔ Enhancing security tickets in Zendesk with relevant threat intelligence. 1️⃣ Ingests SIEM alerts (via chatbot or ticketing system like Zendesk). 2️⃣ Queries a Qdrant vector store containing MITRE ATT&CK techniques. 3️⃣ Extracts relevant TTPs (Tactics, Techniques, & Procedures) from the alert. 4️⃣ Generates remediation steps using AI-powered enrichment. 5️⃣ Updates Zendesk tickets with threat intelligence & recommended actions. 6️⃣ Provides structured alert data for further automation or reporting. n8n instance** (Cloud or Self-hosted). Qdrant vector store** with MITRE ATT&CK data embedded. OpenAI API key** (for AI-based threat processing). Zendesk account** (for ticket enrichment, if applicable). Clean Mitre Data Python Script Cleaned Mitre Data Full Mitre Data 1️⃣ Embed MITRE ATT&CK data into Qdrant This workflow pulls MITRE ATT&CK data from Google Drive and loads it into Qdrant. The data is vectorized using OpenAI embeddings for fast retrieval. 2️⃣ Deploy the n8n Chatbot The chatbot listens for SIEM alerts and sends them to the AI processing pipeline. Alerts are analyzed using an AI agent trained on MITRE ATT&CK. 3️⃣ Enrich Zendesk Tickets The workflow extracts MITRE ATT&CK techniques from alerts. It updates Zendesk tickets with contextual threat intelligence. The remediation steps are included as internal notes for SOC teams. 🔧 Modify the chatbot trigger: Adapt the chatbot node to receive alerts from Slack, Microsoft Teams, or any other tool. 🔧 Change the SIEM input source: Connect your workflow to Splunk, Elastic SIEM, or Chronicle Security. 🔧 Customize remediation steps: Use a custom AI model to tailor remediation responses based on organization-specific security policies. 🔧 Extend ticketing integration: Modify the Zendesk node to also work with Jira, ServiceNow, or another ITSM platform. ✅ Saves time: Automates alert triage & classification. ✅ Improves security posture: Helps SOC teams act faster on threats. ✅ Leverages AI & vector search: Uses LLM-powered enrichment for real-time context. ✅ Works across platforms: Supports n8n Cloud, Self-hosted, and Qdrant. 📖 Watch the Setup Video 💬 Have Questions? Join the Discussion in the YouTube Comments!