Workflow Templates

How It Works This workflow automates comprehensive data validation and regulatory compliance reporting through intelligent AI-driven analysis. Designed for compliance officers, data governance teams, and regulatory affairs departments, it solves the critical challenge of ensuring data quality while generating audit-ready compliance documentation across multiple regulatory frameworks.The system receives data through webhook triggers, performs multi-layered validation using AI models to detect anomalies and policy violations, and intelligently routes findings based on validation outcomes. It orchestrates parallel processing streams for content lookup, retention policy enforcement, and rejection handling. The workflow merges validation results, generates governance documentation, and manages compliance notifications through multiple channels. By automating action routing based on compliance status and maintaining detailed audit logs across validation, governance, and action streams, it ensures regulatory adherence while eliminating manual review bottlenecks. Setup Steps Configure Data Ingestion Webhook trigger endpoint Connect Workflow Execution Configuration node with validation parameters Set up Fetch Validation Rules node with OpenAI/Nvidia API credentials for AI model access Configure parallel AI model nodes with respective API credentials Connect Route by Validation Status node with branching logic Set up Governance Documentation node with document template configurations Configure parallel action nodes Prerequisites OpenAI/Nvidia/Anthropic API credentials for AI validation models Use Cases Financial institutions ensuring transaction compliance monitoring, Customization Adjust AI model parameters for industry-specific compliance rules Benefits Reduces compliance review time by 80%, eliminates manual validation errors

Overview This workflow demonstrates an AI task routing system using multiple agents in n8n. It analyzes incoming user requests, determines their complexity, and routes them to the most appropriate AI agent for processing. A Supervisor Agent evaluates each request and classifies it as either simple or complex, returning a confidence score and reasoning. Based on this classification, an orchestrator agent delegates the task to the correct specialized agent. The workflow also includes a confidence validation mechanism. If the classification confidence falls below a defined threshold, an email alert is sent to an administrator for manual review. This architecture helps build scalable AI systems where tasks are intelligently routed to agents optimized for different levels of complexity. How It Works Webhook Trigger The workflow starts when a request is received through a webhook endpoint. Workflow Configuration The request and a configurable confidence threshold are stored using a Set node. Supervisor Agent Classification The Supervisor Agent analyzes the user request and determines whether the task is simple or complex, returning a confidence score and reasoning. Structured Output Parsing The classification result is parsed using a structured output parser to ensure reliable JSON formatting. Confidence Validation An IF node checks whether the confidence score meets the configured threshold. Agent Orchestration If the confidence is sufficient, an orchestrator agent delegates the task to either: Simple Task Agent for straightforward questions Complex Task Agent for tasks requiring deeper reasoning Fallback Handling If the confidence score is too low, the workflow sends an email alert requesting manual review. Webhook Response The final AI response is returned to the original requester through the Respond to Webhook node. Setup Instructions Add OpenAI credentials to all OpenAI model nodes: Supervisor Model Executor Model Simple Agent Model Complex Agent Model Configure the Workflow Configuration node: Set the userRequest placeholder if testing manually. Adjust the confidenceThreshold if required. Configure the Email Send node: Enter sender and administrator email addresses. Connect SMTP or your preferred email credentials. Activate the workflow and send requests to the Webhook endpoint to start task processing. Use Cases AI support systems that route queries based on complexity Customer service automation with intelligent escalation Multi-agent AI architectures for research or analysis tasks AI workflow orchestration for automation platforms Intelligent request classification and routing systems Requirements OpenAI API credentials** Email (SMTP) credentials** for alert notifications A system capable of sending requests to the workflow webhook

How It Works Schedules automated vendor pricing analysis across multiple sources. Fetches delivery reliability and contract data, analyzes vendor performance using Claude AI, then distributes consolidated reports via Gmail and creates Google Sheets summaries. Target audience: procurement teams and business analysts managing multi-vendor relationships. Solves vendor evaluation bottlenecks by automating data collection, AI-driven analysis, and report distribution. Workflow Steps What: Trigger → Scrapes vendor data (pricing, reliability, contracts) → Sends to vendor analysis agent → Branches to multiple outputs (Gmail notification, Google Sheets archive, Data parser). Setup Steps Configure Schedule Trigger timing. 2. Add scraper credentials (Vendor Pricing, Delivery Reliability, Contract Data nodes). 3. Connect Claude/OpenAI API key in Vendor Analysis Agent. 4. Authenticate Gmail account for notifications. 5. Link Google Sheets API for data storage. Prerequisites OpenAI/Claude API key, Gmail credentials, Google Sheets API access, Vendor data sources (web scrapers or direct APIs). Use Cases Automate weekly vendor performance reviews, generate compliance reports for procurement teams Customization Modify trigger schedule, add/remove scraper nodes for new vendors, adjust Claude prompt for different analysis criteria Benefits Eliminates manual data gathering (hours to minutes), ensures consistent vendor evaluation criteria

Who this is for Property management teams handling multiple properties with high package/visitor traffic who want automated tenant and management notifications. What this workflow does Automatically classifies package and visitor events, sends notifications to tenants, alerts property managers, and logs activity for accountability. How it works Package/visitor system triggers workflow. AI classifies urgency and type. Notifications sent via Email, SMS, and Slack. Google Sheets logs all events. Optional AI follow-up suggestions for unclaimed packages or missed visitors. How to set up Connect Webhook, Slack, Email, SMS, and AI. Test routing and logging. Adjust AI prompts for local building protocols. Requirements AI Node Webhook from package/visitor system Slack, Email, SMS credentials Google Sheets Built by QuarterSmart. Created by Hyrum Hurst.

How It Works This workflow automates end-to-end customer journey management by intelligently routing queries through multiple AI models (OpenAI, Claude) based on complexity and context. Designed for customer success teams, support operations, and sales organizations, it solves the challenge of delivering personalized, context-aware responses at scale while maintaining conversation continuity. The system captures customer interactions, analyzes sentiment and intent, routes to appropriate AI models, generates tailored responses, and tracks engagement metrics. It integrates email automation, database logging, and multi-channel communication to create a seamless experience. By combining NVIDIA's specialized models for technical queries, OpenAI for general assistance, and Claude for complex reasoning, it ensures optimal response quality while reducing manual workload by 70%. Setup Steps Configure NVIDIA API credentials with appropriate model access Add OpenAI API key with GPT-4 access for general query handling Set up Anthropic Claude API credentials for complex reasoning tasks Connect Gmail account for automated email sending and monitoring Configure Google Sheets with customer interaction tracking template Set webhook URL for external system integrations Prerequisites NVIDIA NIM API access, OpenAI API key, Anthropic API credentials Use Cases Customer support automation with tiered response complexity Customization Adjust AI model selection criteria based on query keywords or customer segments. Benefits Reduces response time by 80% through instant AI-powered replies.

How it works Complaints arrive via Gmail or a web form webhook Claude AI classifies each complaint: fault category, priority (P1/P2/P3), tenant tone, and drafts an acknowledgement email The right technician is looked up in Airtable by fault category A work order is created and the tenant receives an ACK email with their ticket reference and SLA commitment The FM team is notified in Slack with ticket summary An hourly schedule checks open tickets — any past their SLA deadline trigger an urgent escalation to FM management How to set up Connect Gmail to the Gmail Trigger and Send ACK email nodes Create your Airtable base with a Complaints table and a Technician table (one row per fault category) Connect Airtable, Anthropic, and Slack in their respective nodes If using a web form, point it to the Webhook URL

Daily Inventory Monitoring & Reorder System This workflow automatically monitors your WooCommerce store inventory, calculates stock health based on recent sales, classifies products, computes reorder quantities, assigns urgency levels and sends actionable alerts to Slack. This workflow runs daily to track your inventory and prevent stock issues. It fetches all active products and recent completed orders, calculates units sold in the last 30 days, evaluates stock health, and classifies products as Top Performer, Steady, At Risk, or Consider Discontinue. You receive: Daily inventory check (automated)** Database record of each product’s stock and recommended action** Slack alerts for urgent items and a daily summary** Ideal for teams wanting simple, automated visibility of inventory without manually reviewing stock levels. Quick Start – Implementation Steps Connect your WooCommerce account (products and orders). Connect Supabase to store inventory records. Connect Slack to receive alerts and daily summaries. Set the schedule time for daily checks. Review and adjust stock thresholds (lead time, safety days) if needed. Activate the workflow — daily inventory monitoring begins automatically. What It Does This workflow automates inventory monitoring: Fetches all published products from WooCommerce with current stock. Retrieves completed orders from the last 30 days to calculate sales. Calculates units sold per product and estimates average daily demand. Merges product and sales data for stock evaluation. Classifies products based on stock and demand: Top Performer Steady At Risk Consider Discontinue Calculates safety stock, reorder points, and reorder quantities. Assigns urgency levels (Normal, High, Critical) with clear action messages. Sends Slack alerts for high-priority products. Saves all inventory data into Supabase for tracking. Builds and sends a daily summary with totals, at-risk products, and reorder needs. This ensures your team always knows stock status and can act quickly to prevent shortages. Who’s It For This workflow is ideal for: Inventory managers Operations teams E-commerce teams Supply chain planners Anyone needing automated stock monitoring and alerts Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) WooCommerce API credentials** (products & orders) Supabase account** (database for inventory tracking) Slack workspace** with API permissions Basic understanding of inventory management and reorder logic How It Works Daily Check – Workflow triggers automatically at the scheduled time. Fetch Products & Orders – Gets all published products and completed orders from the last 30 days. Calculate Sales & Demand – Determines units sold and average daily demand per product. Merge Data – Combines stock data with sales to evaluate inventory health. Inventory Classification – Categorizes products as Top Performer, Steady, At Risk, or Consider Discontinue. Reorder Calculations – Computes safety stock, reorder point, and recommended reorder quantity. Assign Urgency & Actions – Flags products as Normal, High, or Critical and sets clear action messages. Immediate Action Check – Identifies high-priority products that need urgent attention. Save to Database – Stores inventory status and recommendations in Supabase. Daily Summary – Builds summary and sends Slack notifications for overall stock health. Setup Steps Import the provided n8n JSON workflow. Connect your WooCommerce account (products and orders). Connect Supabase account and configure the table for inventory tracking. Connect Slack and select channels for urgent alerts and daily summary. Adjust lead time, safety stock days, and any thresholds if needed. Activate the workflow — daily automated inventory monitoring and reporting begins. How To Customize Nodes Customize Reorder Calculations Adjust safety stock days, lead time, or reorder formulas in the Reorder Calculator node. Customize Urgency & Actions Modify logic in the Urgency & Recommendation node to change thresholds or messaging. Customize Slack Alerts You can change: Slack channel Message format Include emojis or tags Customize Database Storage Add extra fields in Supabase to store more product information if needed. Add-Ons (Optional Enhancements) You can extend this workflow to: Track multiple warehouses Send alerts only for specific categories Generate weekly inventory reports Include stock valuation or cost metrics Integrate with other communication channels (email, Teams) Use Case Examples Daily Inventory Check Automatically tracks stock levels for all products. Urgent Stock Alerts Notifies the team immediately when items are At Risk or need reorder. Reporting & Tracking Keeps a historical record of stock health in the database. Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|---------| | Slack alerts not sent | Invalid credentials | Update Slack API key | | Supabase row not saved | Wrong table/field mapping | Check table and field names | | Wrong stock classification | Thresholds incorrect | Adjust lead time, safety days, or demand calculation | | Workflow not running | Schedule not active | Enable Schedule Trigger node | Need Help? If you need help in customizing or extending this workflow with multi-warehouse tracking, advanced alerts, dashboards or scaling, then our n8n automation developers at WeblineIndia will be happy to assist you.

Analyze website SEO issues and generate optimization actions with AI Author: Hyrum Hurst, AI Automation Engineer at QuarterSmart Contact: hyrum@quartersmart.com This workflow provides a fully automated, AI-powered SEO analysis system designed to turn any website URL into a structured set of clear, actionable optimization recommendations. Instead of relying on manual audits, browser extensions, or generic SEO tools, this automation programmatically inspects a page’s core on-page elements and uses AI to translate raw data into practical next steps. The workflow is built for repeatability, scale, and operational use inside agencies, internal marketing teams, and consulting environments. Results are logged, scored, and routed automatically so teams can focus on execution rather than analysis. What this workflow does When a URL is submitted, the workflow: Fetches the full HTML content of the page Extracts critical SEO-relevant elements such as: Page title Meta description Heading hierarchy (H1–H6) Internal and external links Image tags and alt text Sends the extracted data to an AI model for structured analysis Generates specific, prioritized SEO recommendations, including: Keyword optimization opportunities Title and meta description improvements Heading structure fixes Internal linking suggestions Content clarity and relevance improvements Assigns an overall optimization score to the page Logs all results to Google Sheets for tracking, reporting, and comparison over time Sends summaries or alerts to Slack or email when critical issues are detected This creates a hands-off SEO assistant that can be run on demand, scheduled, or integrated into larger automation systems. How it works (high level) A URL is submitted via a Manual Trigger or Webhook An HTTP Request node fetches the page HTML HTML parsing nodes extract structured on-page elements An AI model analyzes the extracted content and generates recommendations A Set node formats the output into clean, readable fields Google Sheets stores the audit results for reporting and history A Switch node routes results based on severity or score Slack and/or email nodes notify stakeholders when action is required The workflow is modular and can easily be extended with additional checks, scoring logic, or integrations. Use cases This template is applicable across many industries and workflows, including: Digital marketing agencies** Run fast, consistent SEO audits for client websites and landing pages. SEO consultants and freelancers** Automate recurring audits and deliver structured recommendations at scale. Ecommerce businesses** Analyze product pages and category pages for discoverability improvements. SaaS companies** Optimize landing pages, feature pages, and pricing pages for search traffic. Content teams and bloggers** Improve on-page SEO without manual checklists or tooling overhead. Web development agencies** Validate SEO readiness before site launches or migrations. Local businesses** Continuously monitor service pages for SEO health and optimization gaps. Real estate, travel, and hospitality websites** Improve visibility of listings, booking pages, and informational content. Why this workflow is useful Eliminates repetitive manual SEO checks Produces standardized, actionable output Works across unlimited URLs and clients Easy to customize for different SEO frameworks Ideal for automation-first teams and agencies This workflow is designed to act as a practical SEO operations layer, not just an analysis tool. For setup support, customization, or help integrating this workflow into your agency or internal systems, contact Hyrum Hurst, AI Automation Engineer at QuarterSmart, at hyrum@quartersmart.com.

Generate personalized concert ticket PDFs with QR codes using PDF Generator API, then email them to attendees, log sales to Google Sheets, and notify organizers via Slack — all triggered from a simple web form. Who is this for Event organizers, ticketing teams, and developers who need an automated pipeline to issue branded PDF concert tickets with unique QR codes for venue entry — without building a custom backend. How it works An attendee fills out a web form with their name, email, event details, seat number, and ticket tier (General / VIP / Backstage). The workflow generates a unique ticket ID and prepares all data for the PDF template. PDF Generator API renders a personalized PDF ticket. The QR code is a native template component that encodes the ticket ID automatically. A styled HTML confirmation email with a download link is sent to the attendee via Gmail. The ticket details are logged to a Google Sheets spreadsheet for tracking and attendance management. A Slack notification alerts the event organizer with a summary of the newly issued ticket. Set up PDF Generator API — Sign up at pdfgeneratorapi.com, create a ticket template with a QR Code component bound to {{ ticket_id }}, and note your template ID. Template ID — Open the "Prepare Ticket Data" Code node and replace the TEMPLATE_ID value with your own. Credentials — Connect your accounts in each node: PDF Generator API, Gmail, Google Sheets, and Slack. Google Sheets — Create a spreadsheet with columns: Ticket ID, Attendee, Email, Event, Venue, Date, Seat, Tier, PDF URL, Issued At. Set the spreadsheet ID in the "Log Ticket Sale" node. Slack — Choose a channel (e.g. #tickets) in the "Notify Event Organizer" node. Requirements PDF Generator API account (free trial available) Gmail account (OAuth) Google Sheets account (OAuth) Slack workspace (optional — remove the last node if not needed) How to customize Output format** — The PDF node returns a hosted URL by default (valid 30 days). Switch to File output to attach the PDF directly to the email instead. Ticket tiers** — Add or rename tiers in the form node and update the tier mapping logic in the "Prepare Ticket Data" Code node. Email design** — Edit the "Build Confirmation Email" Code node to match your brand colors and layout. Remove Slack** — Simply delete the "Notify Event Organizer" node if you don't need organizer alerts. Add payment** — Insert a Stripe or payment node before the form confirmation to handle paid tickets.

How It Works This workflow automates performance governance and policy compliance monitoring for HR leaders, talent managers, and organizational development teams across enterprises. It solves the challenge of maintaining consistent performance standards while ensuring human judgment on promotion and termination decisions. Scheduled triggers initiate governance cycles that fetch performance data and policy rules, then orchestrate specialized AI agents working in parallel: governance assessment evaluates policy adherence, performance validation verifies metric accuracy, and calibration analysis ensures rating consistency across departments. A policy compliance checker synthesizes findings and routes outcomes intelligently—approved promotions store automatically, while exceptions requiring HR review trigger human approval gates before case creation and email escalation. Setup Steps Configure API credentials with Llama-3.1-70B-Instruct model access Set up schedule trigger aligned with review cycles (quarterly/annual) Configure decision routing logic for approved versus exception cases Connect Gmail for HR escalation alerts to designated reviewers Set up Google Sheets for storing approved promotions and audit trails Prerequisites API key, performance management system data access, Gmail account with app password Use Cases Annual performance review calibration, promotion decision validation Customization Integrate HRIS for live performance data, add custom policy rule engines Benefits Reduces governance review time by 70%, ensures consistent policy application

This workflow continuously monitors the TikTok Ads Library for new creatives from specific advertisers or keyword searches, scrapes them via Apify, logs them into Google Sheets, and sends concise notifications to Telegram or Slack with the number of newly discovered ads. It is built as a safe, idempotent loop that can run on a schedule without creating duplicates in your sheet. Use Case Manually checking the TikTok Ads Library for competitor creatives is time-consuming, and it's easy to lose track of which ads you've already seen. This workflow is ideal if you want to: Track competitor creatives over time** in a structured Google Sheet. Avoid duplicates** by matching ads via their unique adId field. Get lightweight notifications* in Telegram or Slack that tell you *how many new ads appeared, without spamming you with full ad lists. Run the process on autopilot** (daily, weekly, etc.) with a single schedule. Monitor by advertiser ID or keywords** with flexible search parameters. How it Works The workflow is organized into four logical blocks: 1. Configuration & Date Conversion Configuration:** The Set Parameters Set node stores all key request variables: Ad target country (e.g., all or specific ISO country codes), Ad published date From (automatically set to yesterday by default), Ad published To (automatically set to today by default), Advertiser name or keyword (for keyword-based searches), adv_biz_ids (advertiser business IDs for specific advertiser tracking), Ad limit (optional limit on the number of results to scrape). Date Conversion:** Convert Dates to Unix transforms the human-readable date format (DD/MM/YYYY) into Unix timestamps in milliseconds, which are required by the TikTok Ads Library API. 2. Request Building & Data Fetching Body Construction:** Build Apify Body creates the JSON request body for the Apify actor: Builds the TikTok Ads Library URL with all search parameters (region, date range, advertiser name/keyword, advertiser IDs). Conditionally adds resultsLimit to the request body only if the Ad limit field is not empty, allowing you to scrape all results or limit them as needed. Data Fetching:** Get TT Ads through Apify executes the Apify actor (Tiktok Ads Scraper) and retrieves all matching ads from the TikTok Ads Library. 3. Data Preparation & De-duplication Data Extraction:** Prepare Data for Sheets safely extracts nested data from the API response: Extracts the first video URL from the videos array (if available). Extracts the cover image URL from the first video object. Extracts the TikTok username from the tiktokUser object (if available). Handles cases where arrays are empty or objects are missing without throwing errors. Load Existing IDs:** Read existing IDs pulls the existing adId column from your Google Sheet (configured to read a specific column/range, e.g., column K). Collect ID list converts these into a unique, normalized string array existingIds, which represents all ads you have already logged. Attach State:** Attach existing ids (Merge node) combines, for each execution, the freshly fetched TikTok response with the historical existingIds array from Sheets. Filter New Creatives:** Filter new creatives Code node compares each ad's adId (string) against the existingIds set and builds a new array containing only ads that are not yet present in the sheet. It also protects against duplicates inside the same batch by tracking seen IDs in a local Set. 4. Data Logging & Notification Write New Ads:** Append or update row in sheet performs an appendOrUpdate into Google Sheets, mapping core fields such as adId, adName, advertiserName, advertiserId, paidBy, impressions, regionStats, targeting, tiktokUser, startUrl, videos, and coverImageURL (using the =IMAGE() formula to display images directly in the sheet). The column mapping uses adId as the matching column so that existing rows can be updated if needed. Count:** In parallel with the write step, Filter new creatives also feeds into Count new ads. This Code node returns a single summary item with newCount = items.length, i.e., the total number of new creatives processed in this run. Guard:** Any new ads? checks whether newCount is greater than 0. If not, the workflow ends silently and no message is sent, avoiding noise. Notify:** When there are new creatives, both Send a text message (Telegram) and Send a message (Slack) send notifications to the configured channels. The message includes {{$json.newCount}} and a fixed link to the Google Sheet, giving you a quick heads-up without listing individual ads. Setup Instructions To use this template, configure the following components. 1. Credentials Apify:** Configure the Apify account credentials used by Get TT Ads through Apify. You'll need an Apify account with access to the Tiktok Ads Scraper actor. Google Sheets:** Connect your Google account in: Read existing IDs, Append or update row in sheet. Telegram (optional):** Connect your Telegram account credentials in Send a text message. Slack (optional):** Configure your Slack credentials in Send a message. 2. The Set Parameters Node Open the Set Parameters Set node and customize: Ad target country: Which countries to monitor (all for all countries, or specific ISO 3166 country codes like US, GB, etc.). Ad published date From: Start date for the search range (defaults to yesterday using {{ $now.minus({ days: 1 }).toFormat('dd/MM/yyyy') }}). Ad published To: End date for the search range (defaults to today using {{ $now.toFormat('dd/MM/yyyy') }}). Advertiser name or keyword: Search by advertiser name or keywords (URL-encoded format, e.g., %22Applicave%20LLC%22). adv_biz_ids: Specific advertiser business IDs to track (comma-separated if multiple). Ad limit: Optional limit on the number of results (leave empty to scrape all available results). 3. Google Sheets Configuration Read existing IDs** Set documentId and sheetName to your tracking spreadsheet and sheet (e.g., Sheet1). Configure the range to read only the column holding the ad adId values (e.g., column K: K:K). Append or update row in sheet** Point documentId and sheetName to the same spreadsheet/sheet. Make sure your sheet has the columns expected by the node (e.g., adId, coverImageURL, adName, Impressions, regionStats, targeting, tiktokUser, advertiserID, paidBy, advertiserName, startURL, videos). Confirm that adId is included in matchingColumns so de-duplication works correctly. 4. Notification Configuration Telegram:** In Send a text message, set: chatId: Your target Telegram chat or channel ID. text: Customize the message template as needed, but keep {{$json.newCount}} to show the number of new creatives. Slack:** In Send a message, set: channelId: Your target Slack channel ID. text: Customize the message template as needed, but keep {{$json.newCount}} to show the number of new creatives. 5. Schedule Open Schedule Trigger and configure when you want the workflow to run (e.g., every morning). Save and activate the workflow. Further Ideas & Customization This workflow is a solid foundation for systematic TikTok competitor monitoring. You can extend it to: Track multiple advertisers** by turning adv_biz_ids into a list and iterating over it with a loop or separate executions. Enrich the log with performance data** by creating a second workflow that reads the sheet, pulls engagement metrics (likes, shares, comments) for each logged adId from TikTok's API (if available), and merges the metrics back. Add more notification channels** such as email, or send a weekly summary that aggregates new ads by advertiser, format, or country. Tag or categorize creatives** (e.g., "video vs image", "country", "language", "advertiser type") directly in the sheet to make later analysis easier. Combine with Meta Ads monitoring** by running both workflows in parallel and creating a unified competitor intelligence dashboard. Add image analysis** by integrating Google Vision API to automatically detect objects, text, and themes in the cover images, similar to the Meta Ads creative analysis workflow.

How It Works This workflow automates data privacy compliance governance for privacy officers, legal operations teams, and data protection leads. It eliminates the manual effort of monitoring data usage events, classifying privacy risks, routing approval requests, and generating audit-ready compliance reports. Data usage events arrive via a webhook trigger while a scheduled audit runs in parallel, ensuring continuous and periodic coverage. Both feeds pass to the Privacy Governance Agent, backed by a governance model and shared memory — which coordinates three specialist tools: a Data Privacy Agent Tool (privacy policy assessment using a privacy model and Legal Database API), a Risk Detection Agent Tool (risk classification using a dedicated risk model), and an Audit Log Tool. Approval requests are routed via an Approval Request Tool with Slack notifications, and outputs are structured via a Compliance Output Parser and Approval History Tool. Results are routed by risk level, critical alerts trigger Slack notifications immediately, high-risk alerts follow a parallel Slack path, before all cases converge to prepare an audit record, store a compliance record in Google Sheets, prepare a compliance report, and distribute it via Gmail. Setup Steps Import workflow; configure the Data Usage Event Trigger webhook URL and Scheduled Compliance Audit interval. Add AI model credentials to the Privacy Governance Agent, Data Privacy Agent Tool, and Risk Detection Agent Tool. Connect the Legal Database API Tool with your privacy regulatory database endpoint and credentials. Link Slack credentials to the Slack Notification Tool, Send Critical Alert, and Send High Risk Alert nodes. Link Gmail credentials to the Send Compliance Report node. Connect Google Sheets credentials; set sheet IDs for Compliance Record and Audit Log tabs. Prerequisites OpenAI API key (or compatible LLM) Slack workspace with bot credentials Gmail account with OAuth credentials Google Sheets with compliance and audit tabs pre-created Use Cases Privacy officers automating GDPR and PDPA data usage event monitoring and risk classification Customisation Swap the Legal Database API to target jurisdiction-specific frameworks (GDPR, CCPA, PDPA, HIPAA) Benefits Dual-trigger ingestion ensures continuous and scheduled privacy coverage with no monitoring gaps