Workflow Templates

How It Works Automates daily real estate market opportunity analysis by aggregating MLS listings, public property records, demographic information, and macroeconomic indicators, applying GPT-4 for investment evaluation, assessing investment thresholds, and notifying investors of high-potential properties. Simultaneously collects MLS data, public records, demographic profiles, and economic metrics, consolidates the datasets, applies GPT-4 to perform comprehensive investment analysis including ROI projections and risk assessment, calculates key financial metrics via an investment calculator, validates opportunities against predefined thresholds, and sends alerts to acquisition teams and investors through email and Slack. Designed for real estate investors and property acquisition firms seeking automated, data-driven investment insights. Setup Steps Connect MLS data provider, public records database, and demographic data source APIs. Configure OpenAI GPT-4 API for investment analysis and opportunity scoring. Set up investment calculator integration and ROI calculation parameters. Connect Gmail and Slack for team notifications; define investment thresholds. Prerequisites MLS data access; public records database; demographic data provider; macroeconomic data source Use Cases Real estate investment firms automating deal sourcing across markets; Customization Adjust investment analysis criteria and thresholds Benefits Identifies investment opportunities automatically

This n8n template demonstrates how to automatically process invoice attachments from email using OCR and AI. When an invoice is received in Gmail, the workflow extracts structured invoice data and stores it in Airtable while preventing duplicates. This automation is useful for freelancers, agencies, and finance teams who receive invoices by email and want to maintain a structured invoice database without manual data entry. Who’s it for This workflow is designed for: Freelancers managing client invoices Agencies handling multiple invoice emails Finance teams automating invoice intake Automation consultants building accounting workflows How it works When a new email with an attachment arrives in Gmail, the workflow checks whether the subject contains the word “invoice”. The attachment is uploaded to an image-hosting service to generate a public URL. The invoice file is then processed using OCR to extract text content. An AI agent analyzes the extracted text and converts it into structured invoice fields such as invoice number, sender, recipient, dates, description, and amount. Before saving, Airtable is searched to ensure the invoice does not already exist. Valid invoices are stored automatically, while invalid data triggers an error notification email. How to set up Connect Gmail credentials and enable attachment download. Connect Airtable credentials and create an invoice table. Add your imgbb API key in the HTTP Request node. Connect your OCR provider (Mistral). Connect your OpenAI API credentials. Activate the workflow and send a test invoice email. Requirements Gmail account Airtable account OpenAI API key Mistral OCR API key imgbb API key n8n instance (cloud or self-hosted) How to customize the workflow You can customize this workflow by: Modifying the AI prompt used for invoice extraction Adding new invoice fields in Airtable Changing validation rules Supporting additional invoice formats (PDF, PNG, JPG) Adding integrations with accounting tools like QuickBooks or Stripe

How it works This workflow runs on a schedule to monitor HubSpot deals with upcoming contract expiry dates. It filters deals that are 30, 60, or 90 days away from expiration and processes each one individually. Based on the remaining days, it sends personalized email reminders to contacts via Gmail. It also notifies account managers in Slack and creates follow-up tasks in ClickUp for tracking. Step-by-step Schedule and filter expiring deals** Schedule Trigger – Runs the workflow at defined intervals. Get all deals – Fetches deals and contract expiry data from HubSpot. Filter Deals – Calculates days left and keeps only 30, 60, or 90-day expiries. Process deals and fetch contacts** Loop Over Deals – Iterates through each filtered deal. Fetch Associated Contact With Deal – Retrieves linked contact IDs via API. Get Contact Details – Pulls contact email and basic info from HubSpot. Route and send reminder emails** Switch – Routes deals based on days left (30, 60, 90). 30 day mail – Sends urgent renewal reminder via Gmail. 60 day mail – Sends friendly renewal notification email. 90 day mail – Sends early awareness email. Merge – Combines all email paths into a single output. Notify team and create follow-ups** Nofity Account Manager – Sends Slack alert with deal and contact details. Create Follow-up Task – Creates a ClickUp task for renewal tracking. Why use this? Prevent missed renewals with automated tracking and alerts Improve customer retention through timely communication Reduce manual CRM monitoring and follow-ups Keep teams aligned with Slack notifications and task creation Scale contract management without increasing workload

How It Works Automates financial risk evaluation by intelligently consolidating information from five critical sources: financial, operational, legal, insurance, and regulatory systems. Hourly triggers enable continuous, AI-driven risk assessment using the OpenRouter Chat Model, producing dynamic risk scores while simultaneously identifying emerging compliance gaps and potential exposure areas. High-risk findings automatically initiate corrective actions, trigger secondary investigations, and send real-time alerts through Slack notifications as well as investor email updates. Designed for financial institutions, compliance teams, risk managers, and investment firms, it provides continuous, scalable, and fully data-driven monitoring of risk across complex regulatory and operational environments. Setup Steps Configure hourly/daily schedule trigger. Authenticate all five data APIs. Set OpenRouter credentials. Configure Slack webhook. Set Gmail for email distribution. Define risk thresholds and compliance rules. Prerequisites OpenRouter API key, five data source APIs, Slack access, Gmail account, investor contacts Use Cases Banking risk audits, insurance compliance monitoring, portfolio risk tracking Customization Swap AI models, modify data sources, adjust thresholds Benefits 90% faster risk assessment, eliminates manual aggregation

AI Invoice Processor for QuickBooks - Email to Bill with PDF Attachment Automatically processes vendor invoices received by email, creates QuickBooks bills with full details, and attaches the original PDF. Who is this for? Small/medium businesses using QuickBooks Online Bookkeepers processing 20+ invoices/month Accounting firms managing multiple clients Anyone tired of manually entering invoice data into QuickBooks What it does Monitors Gmail for new emails with PDF attachments (every 15 minutes) Extracts text from the PDF using n8n's built-in PDF parser AI classification - determines if the PDF is actually an invoice (skips receipts, contracts, etc.) AI data extraction - pulls structured data: vendor name, invoice number, amount, currency, dates, and line items Vendor lookup - searches QuickBooks for the vendor by name Creates a Bill in QuickBooks with all extracted data (amount, description, dates) Attaches the original PDF to the bill for reference Sends confirmation email back to the sender with bill details Error handling Not an invoice?** Silently skipped - no noise AI can't extract valid data?** Email sent to AP team with error details Vendor not found in QuickBooks?** Email sent to AP team with vendor name and action steps Setup (5 minutes) Prerequisites Gmail account (OAuth2) OpenAI API key QuickBooks Online account (OAuth2) Steps Import the workflow into your n8n instance Connect credentials: Gmail OAuth2 OpenAI API QuickBooks OAuth2 Edit the Config node with your values: realmId - your QuickBooks Company ID (Settings → Account) apTeamEmail - where error notifications go defaultExpenseAccountId - your QB expense account ID (see below) Activate the workflow How to find your Expense Account ID Log in to QuickBooks Online Go to Settings (gear icon) → Chart of Accounts Find an expense account (e.g. "Office Supplies", "Professional Services") Hover → click View register (or Run report) Look at the URL for accountId=XX or account=XX That number is your defaultExpenseAccountId Sandbox vs Production If using QuickBooks Sandbox, update the Upload PDF to Bill node URL from: https://quickbooks.api.intuit.com/v3/company/... to: https://sandbox-quickbooks.api.intuit.com/v3/company/... Technical details AI extraction schema The AI extracts these fields from each invoice PDF: | Field | Type | Example | |-------|------|---------| | is_invoice | boolean | true | | vendor_name | string | "Acme Corp" | | invoice_number | string | "INV-2024-001" | | amount | number | 1500.00 | | currency | string | "USD" | | due_date | string | "2024-12-31" | | txn_date | string | "2024-12-01" | | line_items | array | [{description, amount, quantity}] | Binary data flow PDF binary data is lost after the AI extraction step (LangChain nodes don't preserve binary). The attachment pipeline solves this by referencing the binary from the Config node using $('Config').item.binary.attachment_0 - a named reference that works regardless of the connection path. Force Inline Binary (n8n v2 quirk) n8n v2 stores binary data as database streams. QuickBooks' /upload API requires Content-Length in multipart uploads, which streams can't provide. A Code node converts binary streams to inline base64 before upload. Nodes used Gmail Trigger (polling) Extract from File (PDF) Information Extractor (LangChain + OpenAI) QuickBooks Online (vendor search, bill creation) HTTP Request (PDF upload to bill) Gmail (confirmation & error emails) Code nodes (data transformation) IF nodes (routing logic) Limitations Single line item per bill** - the native QuickBooks node supports only one line item. All extracted line items are combined into the description field with invoice number.

How it works This workflow will trigger upon new mail in your gmail inbox and will automatically apply existing labels OR identify, create, then apply up to 5 new labels. This is currently set up to run using a OpenAI endpoint which I have set up connected to my local llama.cpp server running. After your email is done labeling, the workflow will send you a nice notification in your discord channel! Set up Instructions This workflow requires a Gmail OAuth account credential with the ability to create labels and label messages [OPTIONAL] You can create a Discord Bot Account which connects with a Bot Token which will summarize the email and show you which labels were created and added in the workflow. You might want to tweak the prompts a bit based on how detailed you want your labels. I've found after running it for a bit that the labels that get created mostly encompass everything I want. Workflow Hints The workflow works in 5 phases Phase 1:** Find existing Gmail labels as options for the LLM to choose from. Phase 2:** LLM chooses labels or defines new ones Phase 3:** Create additional Gmail labels if needed Phase 4:** Label the message with newly created and existing labels Phase 5:** Rewrite and send a message notification via Discord. Screenshot 1: Note: colors are my own Screenshot of notification sent via discord Model Tips I set this up to run completely using offline models. I had good success with Llama.cpp server with gpt-oss-20B and with a bit more tweaking could get it to work with a smaller gemma3-4b model mostly likely as well. The whole workflow runs in about 5-10 seconds on my Blackwell Nvidia GPU. Probably would be a few seconds slower on an older piece of hardware.

🚀 Overview This n8n workflow automatically generates professional API documentation from C header (.h) files using AI. It scans a Google Drive folder for header files, extracts the source code, sends it to GPT-4o for structured analysis, and generates a beautiful HTML documentation page. The final documentation is uploaded back to Google Drive and a completion email is sent. This workflow is ideal for embedded systems teams, firmware engineers, and SDK developers who want an automated documentation pipeline. ✨ Key Features ⚡ Fully automated documentation generation 📁 Reads .h files directly from Google Drive 🤖 Uses AI to analyze C APIs and extract documentation 📑 Generates clean HTML documentation 📊 Documents functions, types, enums, and constants 🔁 Processes files one-by-one for reliability ☁️ Saves generated documentation back to Google Drive 📧 Sends a completion email notification 🧠 What the AI Extracts The workflow automatically identifies and documents: 📘 Overview of the header file 🔧 Functions Signatures Parameters Return values Usage examples 🧩 Enumerations 🧱 Data Types & Structures 🔢 Constants / Macros 📝 Developer Notes 🖥 Generated Documentation The output is a clean developer-friendly HTML documentation page including: 🧭 Sidebar navigation 📌 Function cards 📊 Parameter tables 💻 Code examples 🎨 Professional developer layout Perfect for: Developer portals SDK documentation Internal engineering documentation Embedded system libraries ⚙️ Workflow Architecture | Step | Node | Purpose | |-----|-----|--------| | 1 | ▶️ Manual Trigger | Starts the workflow | | 2 | 📂 Get all files | Reads files from Google Drive | | 3 | 🔎 Filter .h files | Keeps only header files | | 4 | 🔁 Split in Batches | Processes files sequentially | | 5 | ⬇️ Download file | Downloads the header file | | 6 | 📖 Extract text | Extracts code content | | 7 | 🤖 AI Extraction | AI extracts API structure | | 8 | 🧹 Parse JSON | Cleans AI output | | 9 | 🎨 Generate HTML | Builds documentation page | |10 | ☁️ Upload to Drive | Saves documentation | |11 | 📧 Email notification | Sends completion email | 🔧 Requirements To run this workflow you need: 🔹 Google Drive OAuth2 credentials 🔹 OpenAI API credentials 🔹 Gmail credentials 🛠 Setup Guide 1️⃣ Configure Google Drive Create two folders. Source folder Output folder Update the folder IDs in the nodes: Get all files from folder Save documentation to Google Drive 2️⃣ Configure OpenAI Add an OpenAI credential in n8n. Model used: The model analyzes C header files and returns structured API documentation. 3️⃣ Configure Gmail Add a Gmail OAuth credential. Update the recipient address inside: ▶️ Run the Workflow Click Execute Workflow. The workflow will: 1️⃣ Scan the Google Drive folder 2️⃣ Process each .h file 3️⃣ Generate HTML documentation 4️⃣ Upload documentation to Drive 5️⃣ Send a completion email 🖼 Documentation Preview 💡 Use Cases 🔧 Embedded firmware documentation 📦 SDK documentation generation 🧑‍💻 Developer portal automation 📚 C library documentation ⚙️ Continuous documentation pipelines 🔮 Future Improvements This workflow can be extended with several enhancements: 📄 PDF Documentation Export Add a step to convert the generated HTML documentation into PDF files using tools such as: Puppeteer HTML-to-PDF services n8n community PDF nodes This allows teams to distribute documentation as downloadable reports. 🔐 Local AI for Security (Ollama / Open-Source Models) Instead of using the OpenAI node, the workflow can be modified to run fully locally using AI models such as: Ollama** Open-source LLMs (Llama, Mistral, CodeLlama)** These models can run on your own server, which provides: 🔒 Better data privacy 🏢 No external API calls ⚡ Faster responses on local infrastructure 🛡 Increased security for proprietary source code This can be implemented in n8n using: HTTP Request node → Ollama API** Local AI inference servers Private LLM deployments 📚 Multi-Language Documentation The workflow could also support additional languages such as: .c .cpp .hpp .rs .go

Transform month-end reporting from manual drudgery to automated intelligence - automatically pull P&L data from accounting systems, detect financial anomalies, generate AI-powered insights, calculate health scores, and distribute professional reports with conditional CFO review and smart team alerts. What This Workflow Does Revolutionizes financial reporting with intelligent automation, anomaly detection, and AI-powered analysis: Scheduled Monthly Automation** - Runs automatically on 1st of each month at 9 AM, eliminating manual trigger requirements Dual Period Data Fetching** - Pulls current and previous month P&L data from accounting systems for comparative analysis Automatic Period Calculation** - Intelligently calculates reporting dates for current month and comparison period Smart Data Validation** - Merges and validates financial data from multiple sources ensuring calculation accuracy Growth Rate Analysis** - Automatically calculates month-over-month growth for revenue, expenses, and net income Intelligent Anomaly Detection** - Flags revenue changes >20%, expense growth >15%, and budget variances >25% Financial Health Scoring** - Computes 0-100 health score based on profitability, growth, expenses, and anomaly count AI-Powered Executive Insights** - Generates CFO-level summaries, identifies top concerns, provides actionable recommendations Budget Variance Analysis** - Detailed tracking of budget vs actual with percentage variances by expense category Conditional CFO Review** - Routes reports with health scores <50 or 3+ anomalies through executive approval Professional Report Design** - Creates color-coded reports with health banners, metric cards, and anomaly alerts AI Insights Section** - Prominently displays executive summary, key insights, and recommended actions Anomaly Alert Display** - Visual severity badges (high/medium) with detailed anomaly descriptions Comparative P&L Statements** - Side-by-side current vs previous period with growth percentages PDF Conversion** - Transforms HTML into print-ready, board-presentation quality PDF reports Google Drive Archival** - Automatically saves reports to organized folders with searchable filenames by period Automated Email Distribution** - Sends reports to stakeholders (CEO, CFO, Board) with AI insights in email body Context-Aware Notifications** - Critical Slack alerts for health <60, standard notifications for healthy financials Multi-Currency Support** - Handles USD, EUR, GBP with proper currency symbols and formatting Fiscal Year Tracking** - Organizes reports by fiscal year with period identification and report ID tracking Key Features Proactive Anomaly Detection**: Automatically flags unusual financial patterns before they become major issues using configurable thresholds AI Financial Analysis**: GPT-4 generates executive summaries, identifies top 3 concerns, and provides 2-3 actionable recommendations Health Score Algorithm**: 0-100 scoring system weighing profitability (+20), revenue growth (+15), expense control (+10), and anomaly absence (+5) Smart Routing Logic**: Critical issues (health <50 or 3+ anomalies) trigger CFO review, healthy reports auto-distribute Visual Health Indicators**: Color-coded banners (green/yellow/red) instantly communicate financial status Severity-Based Alerts**: High-severity anomalies get urgent Slack notifications, normal reports get standard updates Comparative Analytics**: Side-by-side period comparison showing dollar amounts and percentage changes Budget Compliance Tracking**: Highlights categories over/under budget with color-coded variance indicators Automated Commentary**: AI-generated insights eliminate manual analysis and report writing Real-Time Data Integration**: Fetches live data from accounting APIs ensuring reports reflect latest financials Conditional Workflows**: Different paths for critical vs healthy financials ensuring appropriate oversight Professional Formatting**: Board-ready reports with company branding, metric dashboards, and executive summaries Perfect For CFO Offices** - Automated monthly reporting with AI insights for board presentations and investor updates Finance Departments** - Eliminate 4-6 hours of manual report creation and variance analysis Controllers** - Proactive budget monitoring with automatic anomaly detection and alerts Accounting Firms** - Scalable client reporting with AI-generated commentary and insights Private Equity** - Portfolio company monitoring with health scoring and automated distribution Investment Firms** - Standardized reporting across portfolio companies with comparative analytics Small Business Owners** - Executive-level insights without hiring a full-time CFO Nonprofit Organizations** - Board reporting with budget variance tracking for grants and donations Startups** - Investor updates with professional formatting and AI-powered analysis Corporate Finance Teams** - Monthly business reviews with automated data compilation and presentation What You Will Need Required Integrations Accounting System API** - QuickBooks, Xero, FreshBooks, or custom REST API for P&L data extraction (API credentials required) HTML to PDF API** - PDF conversion service (API key required) - approximately 1-5 cents per report OpenAI API** - GPT-4 access for AI insights generation (API key required) - approximately 5-10 cents per report Gmail or SMTP** - Email delivery service for distributing reports to stakeholders Google Drive** - Cloud storage for report archival and compliance record-keeping Optional Integrations Slack Webhook** - Finance team notifications with metrics and alert levels based on health scores CRM Integration** - Link to customer data for revenue attribution and customer segment analysis Data Warehouse** - Connect to Snowflake, BigQuery for consolidated multi-source reporting Business Intelligence Tools** - Export data to Tableau, Power BI for deeper trend analysis Quick Start Import Template - Copy JSON workflow and import into your n8n instance Configure Accounting API - Update "Fetch Current P&L" and "Fetch Previous P&L" nodes with your accounting system API endpoint and credentials Set Schedule - Adjust "Schedule Monthly" trigger if needed (default: 1st of month, 9 AM) Setup OpenAI - Add OpenAI API credentials to "AI Financial Insights" node for automated analysis Configure PDF Service - Add HTML to PDF API credentials in the "HTML to PDF" node Setup Gmail - Connect Gmail OAuth2 credentials and update sender email in "Send to Stakeholders" node Connect Google Drive - Add Google Drive OAuth2 credentials and set folder ID for report archival in "Save to Google Drive" node Customize Company Info - Edit "Prepare Report Data" node with your company name, logo URL, fiscal year, and prepared by information Configure Stakeholders - Update stakeholder list with actual recipient names and email addresses for automated distribution Set Anomaly Thresholds - Adjust detection thresholds in "Analyze Financial Data" node if your business requires different sensitivity levels Configure Slack - Add Slack webhook URLs in "Alert - Critical" and "Notify - Standard" nodes for team notifications Test Workflow - Run manually with sample data to verify API connections, calculations, AI insights, and PDF generation Monitor First Run - Check first automated execution on the 1st to ensure accounting data pulls correctly Customization Options Anomaly Thresholds** - Adjust revenue (default 20%), expense (default 15%), and variance (default 25%) sensitivity levels Health Score Weights** - Modify scoring algorithm bonuses for profitability, growth, expense control, and anomaly absence AI Prompt Engineering** - Customize AI instructions to focus on specific financial metrics or industry concerns Report Templates** - Create different HTML designs for monthly vs quarterly vs annual reports Multi-Department Reporting** - Generate separate reports for each business unit with department-specific budgets Custom Metrics** - Add industry-specific KPIs like EBITDA, burn rate, runway, CAC, LTV, ARR, MRR Chart Integration** - Add revenue trend charts, expense pie charts using Chart.js or D3.js libraries Drill-Down Links** - Embed links to detailed transaction reports in accounting system for deeper analysis Year-Over-Year Comparisons** - Extend to include YoY analysis alongside month-over-month comparisons Forecast Integration** - Add forecast vs actual comparisons with variance explanations and revised projections Cash Flow Statements** - Extend to include operating, investing, financing cash flows and balance sheet summaries Scenario Analysis** - Add best case, worst case, and expected case financial projections for decision modeling Multi-Currency Consolidation** - Aggregate financial data from international entities with exchange rate conversions Approval Workflows** - Add multi-level review and approval steps before distribution to board or investors Alert Escalation** - Configure progressive alerts to VP Finance, CFO, CEO based on severity and response time Expected Results 95% time savings** - Reduce monthly reporting from 4-6 hours to 15 minutes of automated execution 100% calculation accuracy** - Eliminate manual errors in growth rates, variances, and health scoring Proactive issue detection** - Identify financial anomalies on day 1 instead of discovering them mid-month Executive-level insights** - AI generates CFO-quality analysis without requiring finance expertise Faster decision making** - Stakeholders receive reports with actionable recommendations on 1st of month Improved oversight** - Conditional CFO review ensures critical issues get executive attention Reduced fire drills** - Anomaly detection prevents surprises in board meetings or investor calls Better budget control** - Immediate visibility into 25%+ variances enables faster corrective action Enhanced credibility** - AI-powered insights and professional reports improve stakeholder confidence Scalable intelligence** - Handle 10x more entities without additional analysts or manual work Compliance automation** - Automated archival with report IDs meets audit and regulatory requirements Strategic focus shift** - Finance team shifts from manual reporting to strategic planning and analysis Pro Tips Validate API Connections** - Test accounting system API calls before month-end to avoid production failures Customize AI Context** - Tailor AI prompts with your industry terminology and specific concerns for better insights Set Realistic Thresholds** - Adjust anomaly detection based on your business volatility and acceptable variance Review First AI Output** - Validate AI insights quality in first few runs and refine prompts as needed Schedule Buffer Time** - Run workflow after accounting close is complete to ensure data accuracy Test Alert Routing** - Verify CFO review emails trigger correctly for critical health scores Archive Systematically** - Organize Drive folders by fiscal year and report type for easy retrieval Monitor Health Trends** - Track health scores over time to identify improving or declining financial patterns Document Anomalies** - Keep log of flagged anomalies and corrective actions for continuous improvement Customize for Audience** - Different stakeholder lists for internal management vs board vs investors Version Control Reports** - Use report ID and timestamps in filenames for easy version tracking Benchmark Thresholds** - Compare your anomaly thresholds against industry standards and adjust accordingly Secure Sensitive Data** - Use encrypted email or secure portal for highly confidential financial reports Regular Threshold Review** - Quarterly review and adjust detection thresholds based on false positive rates AI Insight Validation** - Spot-check AI recommendations against CFO analysis to ensure quality Business Impact Metrics Track these key metrics to measure workflow success: Report Generation Time** - Average minutes from trigger to stakeholder inbox (target: under 15 minutes) Anomaly Detection Rate** - Percentage of financial issues flagged by workflow vs manually discovered (target: >80%) AI Insight Quality** - CFO rating of AI recommendations usefulness on 1-5 scale (target: 4+) Health Score Accuracy** - Correlation between health scores and actual financial performance outcomes False Positive Rate** - Percentage of flagged anomalies that were not actual issues (target: <20%) CFO Review Efficiency** - Time saved on critical issue analysis with pre-flagged anomalies and AI insights Distribution Timeliness** - Days after month close when stakeholders receive report (target: day 1) Finance Team Productivity** - Hours saved monthly on reporting and analysis (typical: 20-30 hours) Budget Adherence** - Improvement in staying within budget after implementing proactive variance alerts Decision Response Time** - Days from anomaly detection to management corrective action Report Accuracy** - Percentage of reports with calculation errors (target: 0%) Stakeholder Satisfaction** - Survey rating on report clarity, insights, and actionable recommendations (target: 4.5/5) Template Compatibility Compatible with n8n version 1.0 and above Works with n8n Cloud and Self-Hosted instances Requires OpenAI API access (GPT-4 recommended for best insights) Requires HTML to PDF API service subscription Requires accounting system with REST API (QuickBooks, Xero, FreshBooks, or custom) No coding required for basic setup Fully customizable for industry-specific requirements Integrates with major accounting platforms via API Multi-currency support built-in Supports monthly reporting cycles (extendable to quarterly/annual) Ready to transform your financial reporting? Import this template and start generating intelligent financial reports with AI-powered insights, automatic anomaly detection, health scoring, and conditional CFO review - freeing your finance team to focus on strategic decision-making instead of manual number-crunching and report writing!

Description Automate your team's daily stand-ups with AI-powered morning briefs, directly pulled from ClickUp tasks and shared via Slack and Gmail every morning. ☀️📋💬 What This Template Does Triggers automatically at 9:15 AM each morning via cron. ⏰ Fetches the latest sprint and all active or due-today tasks from ClickUp. Categorizes tasks by status, priority, and assignee for clear visibility. Uses Azure OpenAI GPT-4o to generate a detailed, structured morning summary. Formats the AI summary into a clean HTML email and a Slack post. Sends automated updates to Gmail and Slack channels. Includes real-time error detection and Slack alerts for quick debugging. Key Benefits ✅ Eliminates manual stand-up prep by generating AI-driven daily reports. ✅ Keeps teams aligned with clear task summaries and blocker tracking. ✅ Automatically distributes updates across Slack and Gmail. ✅ Provides HTML-formatted emails and Slack markdown summaries. ✅ Reduces time spent on daily check-ins and sprint reviews. Features Fully automated daily scheduling using cron triggers. Real-time task fetching and categorization from ClickUp. GPT-4-powered summarization for executive-style briefs. Responsive HTML email builder for beautiful reports. Slack integration for quick, shareable updates. Error handling with dedicated Slack notifications. Requirements ClickUp OAuth2 credentials for task access. Azure OpenAI GPT-4o API credentials for summary generation. Slack API credentials for channel posting. Gmail OAuth2 credentials for sending email reports. Target Audience Project managers and team leads needing automated daily briefings 👩‍💼 Development teams using ClickUp for sprint and task tracking 💻 Agencies or operations teams coordinating across tools 🔄 Remote teams seeking quick alignment and productivity boosts 🌍 Step-by-Step Setup Instructions Connect your ClickUp account via OAuth2 and update Team, Space, and Folder IDs. ⚙️ Add Azure OpenAI GPT-4o credentials for AI summary generation. 🤖 Configure Slack OAuth2 credentials and set the target channel ID. 💬 Connect Gmail OAuth2 and define recipient email addresses. 📧 Customize the schedule trigger time (default: 9:15 AM). 🕒 Test the workflow to verify proper data retrieval and message delivery. 🚀

AI-Powered Product-Qualified Lead (PQL) Scoring & Sales Routing One-Line Description Automatically score product usage signals from Amplitude cohorts and route hot leads to sales with enriched context. Detailed Description What it does: This workflow transforms behavioral data into sales-ready leads by instantly detecting when users hit your PQL threshold, enriching their profile with company intelligence, and using AI to score their conversion potential. Hot leads are routed directly to sales with personalized conversation starters, while warm and cold leads enter appropriate nurture sequences. Who it's for: Product-led growth (PLG) teams** bridging the gap between product adoption and sales conversion Sales development teams** needing real-time alerts on high-intent users with actionable context Revenue operations professionals** optimizing lead handoff processes between product and sales Key Features: Real-time PQL detection** - Triggers instantly when users enter Amplitude behavior cohorts, eliminating manual lead review Multi-source enrichment** - Combines product usage data with company intelligence from People Data Labs and AI-powered research AI-driven scoring** - Evaluates usage intensity, ICP fit, intent signals, and timing to produce 0-10 lead scores with breakdown reasoning Smart routing logic** - Automatically categorizes leads as hot (8-10), warm (5-7), or cold (0-4) for appropriate follow-up workflows Sales enablement context** - Provides conversation starters, key insights, red flags, and handoff recommendations tailored to each lead Customizable criteria** - References external Google Doc for PQL rules, allowing non-technical teams to update scoring logic How it works: Trigger: Amplitude fires webhook when user enters predefined PQL cohort based on product usage patterns Enrichment: Pulls company data from People Data Labs and conducts AI research on company stage, tech sophistication, and budget indicators AI Scoring: Agent evaluates combined usage + enrichment data against ICP criteria stored in Google Docs, producing structured scoring output Routing: High-scoring leads (hot) generate formatted Slack alerts for immediate sales outreach; warm/cold leads could trigger email sequences (not shown in this template) Setup Requirements Prerequisites: Amplitude account** with cohort webhook capability (Growth plan or higher) People Data Labs API key** for company/person enrichment (paid credits required) Perplexity API** for AI-powered company research Anthropic Claude API** for PQL scoring logic Google Gemini API** for Slack message formatting Slack workspace** with OAuth app configured for posting messages Google Docs** containing your PQL criteria and ICP definition (publicly readable or authenticated access) Estimated Setup Time: 45-60 minutes including API credential configuration, Amplitude cohort definition, and PQL criteria document creation Installation Notes Amplitude cohort setup**: Define your PQL cohort using behavioral criteria (e.g., "Users who viewed 5+ pages AND invited team members in last 7 days"). Configure webhook to fire on cohort entry. PQL criteria document**: Create a Google Doc outlining your scoring components (usage intensity factors, ICP requirements, intent signals). Update the Google Docs Tool node with your document URL. Free email filtering**: The workflow includes logic to flag free email domains (Gmail, Yahoo, etc.) which you may want to route differently Testing tip**: Use Amplitude's "Test Webhook" feature to send sample payloads before going live Customization Options Replace People Data Labs** with Clearbit, Apollo, or other enrichment providers by swapping the HTTP Request node Add CRM integration** to automatically create opportunities or update lead scores in Salesforce/HubSpot Extend routing paths** by adding branches for warm/cold leads (e.g., trigger email sequences via Customer.io, Braze) Adjust scoring weights** by modifying the AI agent prompt or criteria document without touching workflow logic Multi-channel alerts** by duplicating output nodes to send to email, SMS, or CRM tasks in addition to Slack Category Sales Tags amplitude pql product-qualified-leads sales-automation lead-scoring enrichment people-data-labs slack-notifications ai-scoring revenue-operations Use Case Examples SaaS PLG companies**: Automatically escalate free trial users who hit usage milestones (API calls, integrations connected, team invites sent) to sales for upgrade conversations Developer tools**: Identify enterprise-ready accounts based on team size growth, deployment patterns, and GitHub integration usage, routing to enterprise sales team B2B marketplaces**: Surface buyers showing high-intent behavior (multiple searches, saved items, pricing page views) to account executives with company context for proactive outreach

AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative — all powered by AI logic, sir. 💡 Key Advantages ⚡ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. 📊 Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. 💬 Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. 🔁 Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. ⚙️ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the “Leads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. 🛠️ Setup Steps Trigger Node:** HubSpot → Detect new leads. HubSpot Node:** Retrieve complete lead details. Code Node:** Clean and normalize data. Airtable Node:** Log lead info in the “Leads” table. AI Agent Node:** Process lead and match with sales team. Slack Node:** Notify the designated representative. Gmail Node:** Email the rep with details. HubSpot Node:** Update CRM with AI summary and allocation status, sir. 🔐 Credentials Required HubSpot OAuth2 API** – To fetch and update leads. Airtable Personal Access Token** – To store and update lead data. OpenAI API** – To power the AI qualification and matching logic. Slack OAuth2** – For sending team notifications. Gmail OAuth2** – For automatic email alerts to assigned reps, sir. 👤 Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir 💬 Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular — perfect for scaling across global sales teams, sir.

Customer Feedback Loop Analyzer (n8n Automated Workflow) This workflow automates the process of collecting customer feedback from forms and emails, analyzes it using AI, classifies it by category and sentiment, logs it into Google Sheets, and routes it to the right communication channels like Slack or email. It closes the feedback loop efficiently by ensuring every review is categorized, tracked, and acted upon. Who’s it for Product managers wanting structured customer insights Customer support teams needing fast issue routing Engineering teams who want to be alerted to bugs quickly Growth & UX teams tracking feature requests and usability feedback Any business managing customer feedback at scale How it works Form submission trigger captures reviews submitted via customer review forms. Gmail trigger listens for new feedback emails. Extract details (Code node) parses sender details and extracts the actual review text. AI node (LLM) summarizes the feedback, determines sentiment, and classifies it (Bug, Feature Request, UX Issue, Other). Google Gemini (optional) provides advanced classification/summarization. Google Sheets node logs all structured feedback for historical tracking. Switch node routes feedback into separate flows by category. Slack node instantly notifies the team of critical feedback (e.g., Bugs). Email node sends reports to relevant stakeholders (e.g., Feature Requests to product managers). How to set up Import the workflow JSON into your n8n instance. Connect credentials for: Gmail (for receiving/sending feedback) Google Sheets (for logging reviews) Slack (for real-time team alerts) Configure your Google Sheet (columns for Date, Reviewer, Sentiment, Category, Feedback). Adjust the AI node prompt to reflect your team’s preferred categories. Set Slack channels and email recipients for notifications. Activate workflow. Requirements n8n (cloud or self-hosted) Gmail API access (OAuth2 connected in n8n) Google Sheets API access Slack webhook or OAuth connection (Optional) Google Gemini or another LLM integration How to customize Modify the AI prompt to classify into different categories (e.g., “Support Issue”, “Billing Problem”). Extend the Google Sheet schema to include product version, tags, or priority scores. Add a translation step if feedback is multilingual. Replace Slack notifications with Teams/Discord if needed. Connect to Jira or Trello to auto-create tasks for certain categories. Add-ons Sentiment-based alerts**: Trigger Slack notifications only if sentiment is negative. Monthly report generator**: Compile all feedback into a PDF and email it automatically. CRM integration**: Sync categorized feedback into HubSpot or Salesforce. Auto-response emails**: Acknowledge receipt of customer feedback via Gmail. Use Case Examples SaaS product team routes all Bug feedback directly to engineering Slack channel. UX team receives only “UX Issue” categorized feedback for design improvements. Marketing team logs Feature Requests into Google Sheets for roadmap prioritization. Customer support automatically responds with a thank-you email for all submissions. Common Troubleshooting | Issue | Possible Cause | Solution | | ------------------------ | ----------------------------------------- | ----------------------------------------------------- | | Workflow doesn’t trigger | Gmail/Form node not authenticated | Reconnect Gmail / check webhook form integration | | No data extracted | Code node parsing wrong field | Update regex/parsing logic to match email format | | AI classification fails | Invalid LLM credentials or quota exceeded | Reconnect LLM node / check usage limits | | Feedback not logged | Wrong Google Sheet ID or missing sharing | Verify Sheet ID and grant access to connected account | | Slack messages not sent | Invalid webhook or channel not found | Reconfigure Slack node with valid channel/webhook | | Email reports fail | Gmail OAuth token expired | Refresh Gmail credentials in n8n | Need Help? Our n8n automation experts at WeblineIndia can help you: Fine-tune the AI prompts for better categorization accuracy Build custom dashboards from your Google Sheet data Add multilingual feedback handling Connect to your ticketing system (Jira, Trello, Asana) for seamless issue tracking