Workflow Templates

Contract Template Generator with E-Signature Integration What this workflow does This workflow automates the full contract lifecycle—from request intake to document generation and electronic signature completion. It receives contract requests via webhook, generates customized contract documents using AI, converts them into professionally formatted HTML, and sends them to an e-signature service for execution. The workflow pauses until signatures are completed, then records outcomes and notifies all parties accordingly. This template is designed to reduce legal and operational overhead while ensuring consistent, trackable, and scalable contract management. How it works Contract request intake Triggered by a webhook or external form. Validates required fields such as contract type and signatories. Generates a unique contract ID for tracking. Contract data preparation Normalizes contract metadata (dates, value, currency). Stores party and term information for downstream processing. Template routing Routes requests based on contract type (e.g., NDA, Service Agreement, Employment). Applies predefined base terms for each contract category. Falls back to a generic template if no specific type is matched. AI-powered contract generation An AI agent generates a complete contract in Markdown format. Suggests additional clauses and provides a brief risk assessment. Ensures a consistent contract structure across types. Document processing Converts Markdown into HTML for professional presentation. Prepares signer metadata, signing order, and deadlines. E-signature request Sends the document to an e-signature service (e.g., DocuSign, HelloSign). Emails all signatories with signing instructions. Uses a Wait node to pause execution until a signature webhook is received. Signature result handling Processes webhook callbacks for completed, pending, or expired signatures. Updates contract status accordingly. Completion & notifications Logs signed or expired contracts to Google Sheets. Sends confirmation, reminder, or expiration emails to all parties. Responds to the original webhook with a structured status message. Setup requirements Before activating this workflow, make sure to: Connect the contract request webhook to your intake form or system. Configure contract types and base terms as needed. Set up your e-signature provider webhook callback URL. Prepare Google Sheets for contract logging. Customize email me

Competitor Price Monitoring with AI-Powered Alerts What this workflow does This workflow automatically monitors competitor product prices on a scheduled basis, detects meaningful price changes, and delivers actionable alerts enriched with AI-powered competitive analysis. It compares current and historical price datasets, identifies increases, decreases, new products, and removals, and uses AI to assess market impact and recommend strategic actions. Alerts are intelligently routed to Slack or Email based on urgency, while all results are logged for auditing and trend analysis. This template is ideal for pricing teams, product managers, and competitive intelligence workflows that require timely, data-driven insights without manual monitoring. How it works Scheduled execution Runs on a configurable cron schedule (default: every 6 hours). Initializes a monitoring session with timestamps and tracking IDs. Price data collection Fetches current competitor pricing via HTTP APIs. Retrieves previous price snapshots from Google Sheets. Data normalization & comparison Normalizes current and historical data into a unified schema. Uses the Compare Datasets node to detect: New products Removed products Price increases or decreases Unchanged prices Change evaluation Calculates percentage price changes. Classifies severity: Urgent: ≥ 10% change Routine: 5–10% change No alert: < 5% or unchanged AI-powered analysis An AI agent evaluates competitive impact. Generates concise recommendations (match, hold, differentiate). Justifies urgency based on market implications. Smart alert routing Urgent changes are sent to Slack. Routine updates are sent via Email. All alerts and runs are logged in Google Sheets. Historical storage Updates price history for future comparisons. Maintains a complete monitoring audit trail. Setup requirements Before activating the workflow, configure the following: Replace the competitor price API endpoint with your own data source. Define product identifiers consistently (SKU, product ID, etc.). Configure Google Sheets documents and sheet names for: Price history Alert logs Monitoring logs Adjust alert thresholds or schedules as needed. Required credentials This workflow requires the following credentials to be set up in n8n: HTTP Header Auth** (for competitor price APIs) OpenAI** (for AI-based price analysis) Slack** (urgent alerts) Gmail** (routine email notifications) Google Sheets** (price history and logging) Customization ideas Add additional alert channels (Microsoft Teams, Discord, Webhooks). Extend AI analysis with competitor positioning or elasticity insights. Monitor multiple regions or currencies. Add dashboards using BI tools connected to Google Sheets. Trigger downstream pricing or promotion workflows automatically. Who this is for Pricing & revenue operations teams E-commerce and SaaS product managers Competitive intelligence analysts Growth and strategy teams needing real-time market awareness This template provides an end-to-end, scalable foundation for AI-assisted competitive price monitoring—turning raw price changes into actionable business decisions.

Quick Overview This workflow listens for emergency equipment breakdown requests via Telegram, emails multiple rental vendors through Gmail to request quotes, uses Azure OpenAI to compare responses, and sends the project manager an approval email with Approve/Reject links before notifying the vendor and foreman. How it works Triggers when a foreman sends a /breakdown command to a Telegram bot. Parses and normalizes the request details (machine type, site, duration, urgency) and generates a unique breakdown reference. Sends a quote-request email to each vendor via Gmail and waits for the vendor reply window to close. Aggregates collected vendor quotes, filters out unavailable options, and sends the shortlist to Azure OpenAI to produce a ranked recommendation and HTML comparison table. Emails the project manager via Gmail with the comparison and one-click approval and rejection links, then waits for the response. If approved, emails a booking confirmation to the recommended vendor and sends a Telegram confirmation message to the foreman; if rejected, emails the project manager a manual-review notice. If the workflow errors at any point, posts an error alert to a designated Slack channel. Setup Add Telegram Bot credentials for the Telegram trigger and ensure the /breakdown command is configured for your bot. Add Gmail OAuth2 credentials and update all Gmail nodes with the correct sender account and real recipient addresses (vendors and project manager). Add Azure OpenAI credentials (endpoint, deployment/model, and API key) for the quote analysis step. Replace the placeholder vendor names and email addresses in the vendor list with your actual suppliers and ensure vendor replies are captured and mapped into the workflow’s quote aggregation. Replace the placeholder approval webhook base URL (YOUR-N8N-INSTANCE) with your live n8n domain so the Approve/Reject links route back to your instance. Add Slack OAuth2 credentials and set the target channel for workflow error notifications.

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

Overview This comprehensive workflow transforms Excel spreadsheets into professional, AI-generated reports with automated analysis and insights. Whether you're dealing with financial data, customer tracking, sales metrics, inventory management, or any structured data in Excel format, this template leverages artificial intelligence to create detailed, actionable reports with visualizations and key findings. How It Works Automated Report Generation Pipeline: File Processing Trigger**: Workflow initiates when Excel files are uploaded through a web form or file system Data Extraction & Validation**: Automatically reads Excel sheets, validates data structure, and identifies key metrics AI-Powered Analysis**: Uses advanced language models to analyze data patterns, trends, and anomalies Report Generation**: Creates comprehensive reports with executive summaries, detailed analysis, and actionable recommendations Multi-Format Output**: Generates reports in various formats (PDF, HTML, Word) with embedded charts and visualizations Automated Distribution**: Sends completed reports via email or saves to designated cloud storage locations Setup Instructions Estimated Setup Time: 10-15 minutes Prerequisites n8n instance (v0.200.0 or higher) OpenAI/Claude API key for AI analysis Email service credentials (for report distribution) Cloud storage access (Google Drive, Dropbox, etc.) - optional Configuration Steps Configure File Input Trigger Set up webhook or file system trigger for Excel file uploads Configure accepted file formats (.xlsx, .xls, .csv) Add file size and validation checks Setup Data Processing Nodes Configure Excel file reader with sheet selection options Set up data validation and cleaning processes Define column mapping and data type recognition Configure AI Analysis Engine Add your AI service API credentials (OpenAI, Anthropic, etc.) Customize analysis prompts based on your data types Set up context-aware report generation parameters Setup Report Generation Configure report templates for different data types Set up chart generation and data visualization options Define output formats and styling preferences Configure Distribution Channels Set up email service for automated report delivery Configure cloud storage integration for report archiving Add notification systems for completion alerts Use Cases Financial Reporting Budget Analysis**: Analyze spending patterns and budget variance reports P&L Statements**: Generate profit and loss summaries with trend analysis Cash Flow Reports**: Create comprehensive cash flow analysis with forecasting Expense Tracking**: Automated expense categorization and spending insights Sales & CRM Analytics Sales Performance**: Generate sales team performance reports with KPIs Customer Analysis**: Create customer segmentation and lifetime value reports Lead Tracking**: Analyze conversion funnels and lead quality metrics Territory Management**: Regional sales analysis and market penetration reports Operations Management Inventory Reports**: Stock level analysis with reorder recommendations Project Tracking**: Progress reports with timeline and resource analysis Quality Metrics**: Performance dashboards with trend identification Resource Planning**: Capacity utilization and allocation reports HR & Administrative Employee Performance**: Generate comprehensive performance review reports Attendance Tracking**: Analyze attendance patterns and productivity metrics Training Records**: Skills gap analysis and training effectiveness reports Compliance Reporting**: Regulatory compliance status and audit reports Key Features Intelligent Data Recognition**: Automatically identifies data types and relationships Contextual Analysis**: AI provides industry-specific insights and recommendations Professional Formatting**: Clean, corporate-ready report layouts Interactive Visualizations**: Embedded charts, graphs, and data visualizations Executive Summaries**: AI-generated executive summaries highlighting key findings Trend Analysis**: Historical data comparison and future projections Anomaly Detection**: Automatically flags unusual patterns or outliers Multi-Language Support**: Generate reports in multiple languages Batch Processing**: Handle multiple files simultaneously Error Handling**: Robust error management with detailed logging Technical Requirements n8n instance with sufficient memory for Excel processing (minimum 2GB RAM recommended) AI service API access (OpenAI GPT-4, Claude, or similar) Email service (Gmail, Outlook, SendGrid, etc.) Optional: Cloud storage service credentials Stable internet connectivity for AI API calls Supported Data Types Financial Data**: Revenue, expenses, budgets, forecasts Sales Data**: Transactions, leads, customer information, pipeline data Operational Data**: Inventory, production metrics, quality scores HR Data**: Employee records, performance metrics, attendance Marketing Data**: Campaign metrics, conversion rates, ROI analysis Custom Data**: Any structured Excel data with clear column headers Output Options PDF Reports**: Professional PDF documents with embedded charts HTML Dashboards**: Interactive web-based reports Word Documents**: Editable Word reports with tables and charts Excel Summaries**: Enhanced Excel files with analysis sheets PowerPoint Presentations**: Executive presentation slides Advanced Features Custom Branding**: Add your company logo and branding to reports Scheduled Processing**: Set up automated report generation schedules Template Customization**: Create custom report templates for different data types Integration Ready**: Easy integration with existing business systems Audit Trail**: Complete logging of all processing steps and data changes Support & Troubleshooting For optimal performance, ensure your Excel files have clear column headers and consistent data formatting. The AI analysis works best with clean, well-structured data. For complex financial calculations, verify results against your existing systems during initial setup.

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

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.

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

Who’s it for This template is for founders, finance teams, and solo operators who receive lots of invoices by email and want them captured automatically in a single, searchable source of truth. If you’re tired of hunting through your inbox for invoice PDFs or “that one receipt from three months ago,” this is for you. What it does / How it works The workflow polls your Gmail inbox on a schedule and fetches new messages including their attachments. A JavaScript Code node restructures all attachments, and a PDF extraction node reads any attached PDFs. An AI “Invoice Recognition Agent” then analyzes the email body and attachments to decide whether the email actually contains an invoice. If not, the workflow stops. If it is an invoice, a second AI “Invoice Data Extractor” pulls structured fields such as date_email, date_invoice, invoice_nr, description, provider, net_amount, vat, gross_amount, label (saas/hardware/other), and currency. Depending on whether the invoice is in an attachment or directly in the email text, the workflow either: uploads the invoice file to Google Drive, or document a direct link to the mail, then appends/updates a row in Google Sheets with all invoice parameters plus a Drive link, and finally marks the Gmail message as read. How to set up Add and authenticate: Gmail credentials Google Sheets credentials Google Drive credentials OpenAI (or compatible) credentials for the AI nodes Create or select a Google Sheet with the expected columns (date_email, date_invoice, invoice_nr, description, provider, net_amount, vat, gross_amount, label, currency, link). Create or select a Google Drive folder where invoices/docs should be stored. Adjust the Gmail Trigger filters (labels, search query, polling interval) to match the mailbox you want to process. Update node credentials and resource IDs (Sheet, Drive folder) via the node UIs, not hardcoded in HTTP nodes. Requirements n8n instance (cloud or self-hosted) Gmail account with OAuth2 setup Google Drive and Google Sheets access OpenAI (or compatible) API key configured in n8n Sufficient permissions to read emails, read/write Drive files, and edit the target Sheet How to customize the workflow Change invoice categories**: Extend the label enum (e.g., add “services”, “subscriptions”) in the extraction schema and adjust any downstream logic. Refine invoice detection**: Tweak the AI prompts to be more or less strict about what counts as an invoice or receipt. Add notifications**: After updating the Sheet, send a Slack/Teams message or email summary for high-value invoices. Filter by sender or subject**: Narrow the Gmail Trigger to specific vendors, labels, or keywords. Extend the data model**: Add fields (e.g., cost center, project code) to the extractor prompt and Sheet mapping to fit your bookkeeping setup.

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