Workflow Templates

📊 Description The scoreboard shows you what happened. This workflow tells you why it happened. Every time an IPL match ends this automation detects the completed result, fetches the full scorecard, and sends it to GPT-4o which produces a detailed journalist-style post-match analysis — innings breakdowns, tactical decisions, key turning points, player of the match, and what the result means for both teams. Every Monday it also generates a weekly roundup digest covering all the week's matches in one beautifully designed email. Built for sports media companies, IPL fan platforms, cricket newsletters, and automation agencies who want to produce expert-level match analysis at scale without a dedicated editorial team. What This Workflow Does ⏰ Polls CricAPI every 30 minutes for recently completed IPL matches 📋 Checks the Match Log sheet to avoid analyzing the same match twice 🏏 Detects new completed IPL matches and saves them to the Match Log 🧮 Computes both innings run rates and builds a structured analytical prompt 🤖 Sends full match context to GPT-4o which generates a complete post-match analysis 📧 Assembles the analysis into a branded HTML email and sends it immediately after the match 📝 Logs every analysis to the Analysis Log sheet with match name, winner, and player of match 📊 Every Monday reads all analyses from the past 7 days and generates a weekly roundup 🤖 GPT-4o writes the weekly digest with match recaps, player of the week, and next week preview 📧 Sends the weekly roundup as a branded HTML email every Monday at 9AM Key Benefits ✅ Fully automatic — detects match completion and triggers analysis without manual input ✅ Duplicate prevention — never analyzes the same match twice ✅ GPT-4o writes like a cricket journalist not a data report ✅ Two email formats — immediate post-match deep dive and weekly roundup digest ✅ Complete audit trail across two Google Sheets ✅ Falls back to any completed T20 when IPL is off-season so testing always works ✅ Clean termination on both IF nodes — no dangling branches How It Works SW1 — Match Completion Detector Every 30 minutes the workflow fetches all current and recent matches from CricAPI and reads the Match Log sheet. The Code node filters for completed IPL T20 matches by checking that the match name contains IPL or Indian Premier League, the match type is T20, and both matchStarted and matchEnded are true. It then compares every completed match against the set of already-analyzed match IDs in the Match Log. If a new unanalyzed match is found it gets saved to the Match Log with analyzed set to false and all scorecard data flows forward into the analysis engine. If no new match is found an IF node stops the workflow cleanly. SW2 — Deep Dive Analyzer The match data flows directly from SW1 into the analysis prompt builder. The Code node computes run rates for both innings and assembles a structured prompt containing both innings stats, the match result, and clear instructions for GPT-4o to act as a cricket journalist. GPT-4o returns a headline, 3-4 sentence match summary, separate tactical breakdowns for each innings, three key moments that decided the match, an overall tactical assessment, player of the match with reasoning, and a one-sentence forward-looking note. The response is parsed and assembled into a branded HTML email with a dark blue header, score display, color-coded analysis sections, and a player of the match spotlight. The email is sent immediately and both Google Sheets are updated to record that this match has been analyzed and the email has been sent. SW3 — Weekly Digest Every Monday at 9AM the workflow reads all rows from the Analysis Log and filters for entries from the past 7 days. If matches exist GPT-4o generates a weekly roundup covering the week's headline, individual one-liner recaps for each match, player of the week, the biggest talking point or controversy, and a preview of the upcoming week. The response is assembled into a branded weekly roundup email and sent. If no matches were analyzed in the past 7 days the workflow stops cleanly without sending a blank email. Features 30-minute polling for match completion detection Dynamic IPL match filtering — no hardcoded IDs Duplicate prevention via Match Log sheet lookup Both innings run rate computation GPT-4o post-match analysis with 8 structured output fields Immediate post-match email delivery Weekly Monday digest with recaps, POTW, talking point, and preview Two branded HTML email templates with dark blue cricket theme Two Google Sheets for match tracking and analysis history IF nodes with No Operation fallbacks on both SW1 and SW3 Fallback to any completed T20 for off-season testing Requirements CricAPI account and API key — free tier at cricapi.com OpenAI API key (GPT-4o access) Google Sheets OAuth2 connection Gmail OAuth2 connection Setup Steps Sign up at cricapi.com and get your free API key Create a Google Sheet called "IPL Post Match Analyzer" with 2 sheets — Match Log and Analysis Log Add the correct column headers to both sheets. Paste your Sheet ID into all Google Sheets nodes Connect Google Sheets OAuth2 credentials Add your OpenAI API key to both OpenAI nodes Add your Gmail OAuth2 credentials and set your email in both Gmail nodes Activate the workflow — the system runs itself from here Target Audience 📺 Sports media companies automating post-match editorial content 🏏 IPL cricket newsletters and fan platforms delivering expert analysis 🤖 Automation agencies building cricket intelligence products for media and franchise clients 📱 Fan apps that want to surface match analysis without hiring a commentary team

WooCommerce Product Category Sales Performance Report This workflow automatically analyzes sales data by product category, compares performance across time periods (daily, weekly or monthly), stores structured results in Airtable and sends a clear summary to Slack for quick decision-making. This workflow pulls order data for two time periods (current and previous), groups sales by product category and calculates key metrics like revenue, units sold and share of total sales. Each category is then classified (Top Performer, Steady, Needs Attention, etc.) with a recommended action. The results are saved to Airtable for tracking & history and a short, easy-to-read summary is sent to Slack so stakeholders can understand performance at a glance. You get: Automated sales comparison (daily / weekly / monthly)** Category-wise performance classification** Historical tracking in Airtable** One clean Slack summary — no dashboards required** Ideal for product, sales and operations teams who want fast, consistent insights without manual reporting. Quick Start – Implementation Steps Configure the date granularity (daily, weekly or monthly). Connect your Orders data source (API, DB or platform node). Connect and configure your Airtable base & table. Connect your Slack workspace and choose a channel. Activate the workflow — reports start running automatically. What It Does This workflow automates category-level sales analysis: Builds current and previous date ranges dynamically. Fetches orders for both time periods. Normalizes and aggregates orders by product category. Calculates key metrics: Current revenue Previous revenue Units sold Share of total sales Classifies each category (Top Performer, Steady, At Risk, etc.). Adds a recommended business action for each category. Saves the final results to Airtable. Generates a short summary message. Sends a single Slack report to stakeholders. This ensures consistent, repeatable insights with no manual effort. Who’s It For This workflow is ideal for: Sales & revenue teams Product managers E-commerce operations teams Business analysts Startup founders & leadership Anyone needing automated sales performance insights Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Access to orders data (API, database or platform integration) Airtable base** + Personal Access Token Slack workspace** with API permissions Basic understanding of sales metrics (revenue, units, categories) How It Works Scheduler Trigger – Workflow runs on a defined schedule. Build Date Ranges – Calculates current and previous periods. Fetch Orders (Current) – Pulls orders for the active period. Fetch Orders (Previous) – Pulls orders for comparison. Aggregate by Category – Groups sales and calculates metrics. Classify Performance – Assigns tags and actions. Save to Airtable – Stores structured results. Build Slack Summary – Creates a readable summary message. Send to Slack – Delivers insights to the team. Setup Steps Import the provided n8n workflow JSON. Configure the Scheduler timing. Set your preferred granularity (daily / weekly / monthly). Connect and map your Orders data source. Connect Airtable and map fields: Category ID / Name Current Revenue Previous Revenue Units Share Tag Recommended Action Connect Slack API credentials and select a channel. Activate the workflow — done! How To Customize Nodes Change Time Period Switch between daily, weekly or monthly comparisons. Adjust rolling windows for testing or analysis. Adjust Performance Thresholds Modify revenue or share thresholds. Change category labels or actions. Customize Airtable Storage Add optional fields such as: Report date Growth percentage Notes or owner Review status Customize Slack Summary You may add: Emojis or highlights Mentions (@channel, @team) Links to Airtable records Separate sections for risks or wins Add-Ons (Optional Enhancements) You can extend this workflow to: Add Teams or Email notifications Track trends over multiple periods Generate charts or dashboards Add alerts for sudden drops or spikes Include AI-based insights or explanations Export reports to Google Sheets or CSV Use Case Examples 1\. Weekly Sales Review Automatically send category performance every week. 2\. Product Decision Support Identify which categories to promote or discontinue. 3\. Leadership Updates Share clear performance summaries with management. 4\. E-commerce Optimization Spot declining categories before revenue drops. 5\. Historical Analysis Track performance trends over time in Airtable. Troubleshooting Guide | Issue | Possible Cause | Solution | |-----------------------|--------------------------|------------------------------------------| | No Slack message | Slack node not connected | Verify Slack credentials | | No Airtable data | Field mapping mismatch | Match Airtable column names | | Missing current orders| Date range incorrect | Check UTC date logic | | Empty summary | No category data | Verify aggregation step | | Workflow not running | Trigger disabled | Enable Scheduler node | Need Help? If you need help extending or customizing this workflow with adding alerts, dashboards, AI insights or scaling it for production then our n8n workflow developers at WeblineIndia can assist with advanced automation and reporting solutions.

How it works This workflow automatically extracts specific data from received emails and saves it into a Google Sheets document for easy tracking and analysis. It connects to a Gmail account, searches for emails received within a defined date range from a specific sender, opens links inside those emails, extracts data from the linked pages (such as case ID, patient name, birth date, complaint, and location), processes and cleans the information using custom JavaScript logic, and finally saves the structured results into a Google Sheet. Setup steps Connect Gmail using OAuth2 credentials. Adjust the date filters and sender email in the “Search Emails” node. Customize the CSS selectors in the HTML extraction nodes to match the desired elements from your email or linked page. Open the Code node and modify the logic if you need to calculate or transform additional fields. Link your Google Sheets account and specify the spreadsheet and sheet name where the results will be appended.

Automatically BackUp Your n8n Workflows to OneDrive This workflow automates the backup of your self-hosted n8n instance by exporting all workflows and saving them as individual .json files to a designated OneDrive folder. Each file is timestamped for easy versioning and audit tracking. After a successful backup, the workflow optionally cleans up old backup files and sends a confirmation email to notify you that the process completed. How it works Uses the HTTP Request node to fetch all workflows via the /rest/workflows API. Iterates through each workflow using SplitInBatches. Converts each workflow to a .json file using Set and Function nodes. Uploads each file to a target Microsoft OneDrive folder using OAuth2. Deletes old backup files from OneDrive after upload, with the option to keep backups for a configurable number of time. Sends an email notification once all backups have completed successfully. Setup instructions Enter your n8n Base URL and authentication details in the HTTP Request node. Set up Microsoft OneDrive OAuth2 credentials for cloud upload. Configure the Email node with SMTP credentials to receive backup confirmation. (Optional) Adjust the file retention logic to keep backups for a set duration. A Cron trigger to schedule the workflow automatically (e.g., daily or weekly). 👉 Sticky notes inside the workflow explain each step for easy setup. Need Help Need Help 🔗 LinkedIn – Wessel Bulte

Introduction Automate price monitoring for e-commerce competitors—ideal for retailers, analysts, and pricing teams. ⚠️ Self-Hosted Only: Requires self-hosted n8n instance. How It Works Scrapes competitor URLs, extracts data via AI, detects price/stock changes, logs to Google Sheets with email alerts. Workflow Template Trigger → Scrape → AI Extract → Parse → Compare → Detect Changes → Update Sheets + Alert Workflow Steps Scraping: Firecrawl fetches Nike, Adidas, Sneaker data AI Extraction: Processes product details Parsing: Structures response Historical Check: Reads Sheets data Change Detection: Identifies price/stock updates Dual Output: Updates Sheets + sends alerts Setup Instructions 1. Firecrawl API Get key from dashboard → Add to n8n 2. OpenAI API Get key from platform → Add to n8n 3. Google Sheets OAuth2 Create OAuth2 in Google Cloud Console → Authorize in n8n → Enable API 4. Gmail OAuth2 Use same project → Authorize in n8n → Enable API 5. Spreadsheet Setup Create Sheet with required columns → Copy ID from URL → Paste in workflow Prerequisites Self-hosted n8n, Firecrawl account, OpenAI key, Google account (Sheets + Gmail OAuth2) Customization Add URLs, adjust thresholds, integrate Slack Benefits Saves 2+ hours daily, real-time tracking, automated alerts Google Sheets Structure Required Columns: Product Name** (Column A) Current Price** (Column B) Previous Price** (Column C) Stock Status** (Column D) Last Updated** (Column E) URL** (Column F) Change Detected** (Column G)

Overview Automate UniFi Controller updates on self-hosted instances. This workflow checks the official UniFi Debian repo for a fresh release in the last 24 hours and, if found, upgrades the unifi package via SSH. It can also summarize changes and ping you on Telegram. Sticky notes are included to guide setup. How it works Schedule* runs daily (default *13:13**). HTTP Request** fetches InRelease and parses Codename + Date. IF gate** continues only if the repo changed within 24h. SSH** runs: apt-get --allow-releaseinfo-change update apt-get upgrade -y unifi (Optional) LLM* creates a short summary → *Telegram** sends it. Setup Bind credentials: SSH (required), OpenAI (optional), Telegram (optional). Set env var TELEGRAM_CHAT_ID for notifications. Adjust the Schedule Trigger to your maintenance window. Import inactive, test once, then activate. Customize Change the 24h freshness window in the Code node. Swap Telegram for Slack/Email if preferred. Add pre/post steps (backups, restarts) around the upgrade. Safety Test on a non-production controller first. No hardcoded secrets—uses n8n credentials and environment variables. If you want approval before upgrades, stop after the IF gate and notify only.

Who is this for Founders, marketing managers, and ops teams who track weekly business metrics in Google Sheets and want an automated AI-generated performance report delivered to Slack and email every Monday. Perfect for agencies, e-commerce businesses, and SaaS teams who need a quick pulse check without building custom dashboards. How it works Every Monday at 8am, the workflow pulls the last 14 days of business metrics from your Google Sheet. A code node calculates week-over-week comparisons for revenue, leads, conversions, ad spend, and support tickets — plus derived metrics like conversion rate and ROAS. The calculated data is sent to OpenAI, which generates a concise performance digest with five sections: headline summary, wins, areas to watch, recommended priorities for the week, and a brief outlook. The digest is formatted for both Slack (plain text with emoji) and email (styled HTML with a metrics table), then delivered to both channels simultaneously. How to set up Open the Set report config variables node and fill in your Google Sheet ID, sheet name, Slack channel, email recipients, and company name. Prepare your Google Sheet with these columns: Date, Revenue, Leads, Conversions, Ad Spend, Support Tickets. Enter at least 14 rows of daily data. Connect your Google Sheets, OpenAI, Slack, and Gmail credentials. Optionally adjust the schedule trigger for a different day or time. Activate the workflow. You can also trigger it manually for an immediate test. Requirements Google Sheets with weekly business metrics (at least 14 days of data) OpenAI API key (GPT-4o-mini recommended for cost efficiency) Slack workspace Gmail account How to customize Change the metric columns in the Calculate weekly comparisons code node to match your actual data structure. Modify the AI prompt to focus on your industry-specific KPIs or add a different reporting tone. Add a PDF generation step to create executive-ready downloadable reports. Split the delivery to send different summaries to different Slack channels (e.g., marketing metrics to #marketing, support metrics to #support).

This workflow continuously monitors the Meta Ads Library for new creatives from a specific competitor pages, logs them into Google Sheets, and sends a concise Telegram notification 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 Meta 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 id field. Get lightweight notifications* in Telegram 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. How it Works The workflow is organized into three logical blocks: 1. Fetch Ads & Handle Pagination Configuration:** The Add parameters Set node stores all key request variables: ad_active_status (e.g. active), search_page_ids (competitor page IDs), ad_reached_countries, access_token. Routing:** Page or keywords routes execution into one of two HTTP Request nodes: Facebook Ads API by page — the main branch that queries ads by page ID. Facebook Ads API by keywords — an optional branch for keyword‑based searches. Normalization:** Facebook Ads API by ... returns the raw ads_archive response. Check the pagination then: extracts data (array of ad objects) into a dedicated field, reads paging.next into next_url for pagination. Pagination Loop:** If checks whether next_url is not empty. Set Next URL assigns next_url to a generic url field. Facebook Ads API pagination requests the next page and feeds it back into Check the pagination. This loop continues until there is no next_url, ensuring all pages of the Ads Library response are processed. 2. De‑duplicate Ads & Log to Google Sheets Load Existing IDs:** Read existing IDs pulls the existing id column from your Google Sheet (configured to read a specific column/range). 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 Meta response (data) with the historical existingIds array from Sheets. Filter New Creatives:** Filter new creatives Code node compares each ad’s id (string) against the existingIds set and builds a new data 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. Write New Ads:** Split Out expands the filtered data array into individual items (one item per new ad). Add to sheet then performs an appendOrUpdate into Google Sheets, mapping core fields such as id, ad_creation_time, page_name, ad_creative_bodies, ad_snapshot_url, languages, publisher_platforms, and link fields. The column mapping uses id as the matching column so that existing rows can be updated if needed. 3. Count New Ads & Notify in Telegram Count:** In parallel with the write step, Split Out 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, Send a text message sends a Telegram message to the configured chatId. The message includes {{$json.newCount}} and a fixed link to the Google Sheet, giving you a quick heads‑up without listing individual ads. Setup Instructions To use this template, configure the following components. 1. Credentials Meta Ads / HTTP Header Auth:** Configure the Meta Ads HTTP Header credentials used by: Facebook Ads API by page, Facebook Ads API by keywords, Facebook Ads API pagination. Google Sheets:** Connect your Google account in: Read existing IDs, Add to sheet. Telegram:** Connect your Telegram account credentials in Send a text message. 2. The Add parameters Node Open the Add parameters Set node and customize: ad_active_status: Which ads to monitor (active, all, etc.). search_page_ids: The numeric ID of the competitor Facebook Page you want to track. ad_reached_countries: Comma‑separated list of country codes (US, US, CA, etc.). access_token: A valid long‑lived access token with permission to query the Ads Library. 3. Google Sheets Configuration Read existing IDs** Set documentId and sheetName to your tracking spreadsheet and sheet (e.g. an ads tab). Configure the range to read only the column holding the ad id values. Add to sheet** Point documentId and sheetName to the same spreadsheet/sheet. Make sure your sheet has the columns expected by the node (e.g. id, creation time, page, title, description, delivery_start_time, snapshot, languages, platforms, link). Confirm that id is included in matchingColumns so de‑duplication works correctly. 4. Telegram Configuration In Send a text message, set: chatId: Your target Telegram chat or channel ID. text: Customize the message template as needed, but keep {{$json.newCount}} to show the number of new creatives. 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 competitor monitoring. You can extend it to: Track multiple competitors** by turning search_page_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 spend/impressions/CTR for each logged ad_id from Meta, and merges the metrics back. Add more notification channels** such as Slack or email, or send a weekly summary that aggregates new ads by page, format, or country. Tag or categorize creatives** (e.g. “video vs image”, “country”, “language”) directly in the sheet to make later analysis easier.

💥 Automate Scrape Google Maps Business Leads (Email, Phone, Website) using Apify 🧠 AI-Powered Business Prospecting Workflow (Google Maps + Email Enrichment) Who is this for? This workflow is designed for entrepreneurs, sales teams, marketers, and agencies who want to automate lead discovery and build qualified business contact lists — without manual searching or copying data. It’s perfect for anyone seeking an AI-driven prospecting assistant that saves time, centralizes business data, and stays fully compliant with GDPR. What problem is this workflow solving? Manually searching for potential clients, copying their details, and qualifying them takes hours — and often leads to messy spreadsheets. This workflow automates the process by: Gathering publicly available business information from Google Maps Enriching that data with AI-powered summaries and contact insights Compiling it into a clean, ready-to-use Google Sheet database This means you can focus on closing deals, not collecting data. What this workflow does This automation identifies, analyzes, and organizes business opportunities in just a few steps: Telegram Trigger → Send a message specifying your business type, number of leads, and Google Maps URL. Apify Integration → Fetches business information from Google Maps (public data). Duplicate Removal → Ensures clean, non-redundant results. AI Summarization (GPT-4) → Generates concise business summaries for better understanding. Email Extraction (GPT-4) → Finds and extracts professional contact emails from company websites. Google Sheets Integration → Automatically stores results (name, category, location, phone, email, etc.) in a structured sheet. Telegram Notification → Confirms when all businesses are processed. All data is handled ethically and transparently — only from public sources and without any unsolicited contact. Setup Telegram Setup Create a Telegram bot via BotFather Copy the API token and paste it into the Telegram Trigger node credentials. Apify Setup Create an account on Apify Get your API token and connect it to the “Run Google Maps Scraper” node. Google Sheets Setup Connect your Google account under the “Google Maps Database” node. Specify the target spreadsheet and worksheet name. OpenAI Setup Add your OpenAI API key to the AI nodes (“Company Summary Info” and “Extract Business Email”). Test Send a Telegram message like: restaurants, 5, https://www.google.com/maps/search/restaurants+in+Paris How to customize this workflow to your needs Change search region or business type** by modifying the Telegram input message format. Adjust the number of leads** via the maxCrawledPlacesPerSearch parameter in Apify. Add filters or enrichments** (e.g., websites with social links, review counts, or opening hours). Customize AI summaries** by tweaking the prompt inside the “Company Summary Info” node. Integrate CRM tools** like HubSpot or Pipedrive by adding a connector after the Google Sheets node. ⚙️ Expected Outcome ✅ A clean, enriched, and ready-to-use Google Sheet of businesses with: Name, category, address, and city Phone number and website AI-generated business summary Extracted professional email (if available) ✅ Telegram confirmation once all businesses are processed ✅ Fully automated, scalable, and GDPR-compliant prospecting workflow 💡 This workflow provides a transparent, ethical way to streamline your B2B lead research while staying compliant with privacy and anti-spam regulations. 🎥 Watch This Tutorial 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

What This Flow Does Automated stock portfolio analysis system that performs comprehensive fundamental and technical analysis of your portfolio holdings on a scheduled basis, with intelligent follow-up capabilities. How It Works Two-Phase Analysis System: Monday Analysis (Main weekly analysis) Reads your stock holdings from Google Sheets Performs deep fundamental analysis using Claude AI with web search Conducts technical analysis with current market data Combines both analyses into final buy/sell/hold recommendations Emails you comprehensive analysis report Wednesday Follow-up (Interactive refinement) Sends midweek check-in email asking for additional input If you reply with documents, questions, or market observations Runs supplemental analysis incorporating your feedback Updates recommendations based on new information and market changes Delivers refined analysis via email Key Features Fractional share support - handles both whole and fractional stock positions Web-enabled AI analysis - Claude AI searches current market data, news, earnings Dual-analyst approach - separate fundamental and technical analysis for comprehensive coverage Interactive feedback loop - Wednesday follow-ups allow you to guide analysis Professional email reports - formatted HTML emails with actionable recommendations Setup Steps Google Sheets: Duplicate given template and fill with your investment information Gmail OAuth: Connect your Gmail account for sending reports Anthropic API: Add Claude AI credentials for analysis Replace placeholders: Update YOUR_EMAIL@gmail.com, YOUR_GOOGLE_SHEETS_ID, webhook IDs Schedule configuration: Currently set for Monday 12pm EST analysis, Wednesday 12pm EST follow-up Use Case Perfect for part time investors who want systematic, AI-powered analysis of their portfolio with the flexibility to provide additional context and refinements throughout the week.

How It Works Scheduled triggers initiate automated contract reviews. The system fetches documents from cloud storage and email, then uses AI to extract key terms, obligations, and compliance requirements. Multi-model parsing identifies gaps, inconsistencies, and potential risks. A scoring engine evaluates severity and routes alerts to the appropriate channels. The workflow then updates the CLM system and produces audit-ready documentation for tracking and governance. Setup Instructions Storage: Configure access to your Google Drive or webhook-based document repository. Email: Connect Gmail to automatically ingest contract-related emails. AI Extraction: Add the OpenAI API key and define extraction prompts for obligations and terms. CLM System: Enter credentials for your contract lifecycle management platform. Alerts: Set up Google Sheets logging and connect dashboard endpoints for risk and compliance alerts. Prerequisites Cloud storage access; Gmail credentials; OpenAI API key; CLM system credentials; document processing license Use Cases Contract renewal tracking; compliance audits; risk management; vendor agreement reviews; regulatory adherence monitoring Customization Adjust risk thresholds; modify extraction rules; add Slack notifications; extend compliance frameworks Benefits Reduces review time 80%; catches compliance gaps; automates audit trails;

How It Works This workflow automates policy compliance validation and approval orchestration through intelligent AI-driven assessment. Designed for compliance departments, legal teams, and governance officers, it solves the critical challenge of ensuring policy adherence while managing approval workflows that require human oversight for critical decisions.The system operates on scheduled intervals, fetching data from policy databases and audit program performance metrics, then merging these sources for comprehensive compliance analysis. It employs a dual-agent AI framework for policy validation and execution orchestration, detecting violations, assessing severity, and determining required approval actions. The workflow intelligently routes findings based on compliance status, escalating violations through human approval checkpoints while maintaining detailed audit trails. By coordinating multi-channel notifications through email and Slack alongside synchronized logging, it ensures stakeholders receive timely alerts while creating complete traceability for regulatory examinations and internal audits. Setup Steps Configure Schedule Trigger with policy review frequency Connect Workflow Configuration node with compliance parameters Set up Fetch Policy Data and Fetch Audit Program Performance Data nodes Configure Merge Data Sources node for consolidation logic Connect Policy Validation Agent with OpenAI/Claude API credentials Set up validation processing Configure Route by Compliance Status node with severity classification Connect Execution Orchestration Agent with AI API credentials Set up orchestration processing Prerequisites OpenAI/Claude API credentials for AI validation agents, policy management system API access Use Cases Financial institutions validating AML policy compliance, healthcare organizations ensuring HIPAA adherence Customization Adjust validation criteria for industry-specific regulations Benefits Reduces compliance review cycles by 70%, eliminates manual policy monitoring