This automation continuously monitors customer reviews submitted via Google Forms.It automatically triggers when a new response appears in Google Sheets.Each review is sent to an AI model for deep text analysis.The workflow identifies customer intent such as praise, complaint, or suggestion.It analyzes sentiment as positive, negative, neutral, or mixed.A quality score from 1–10 is assigned to every review.A concise AI-generated summary is created for quick understanding.Original customer data and AI insights are merged together.All enriched results are saved back into Google Sheets.This provides real-time, structured customer feedback without manual analysis.

This automation builds a production-grade Stripe Financial Reporting workflow using n8n and Slack. It automatically runs on monthly and quarterly schedules without manual effort. The workflow fetches Stripe charges and refunds for the correct reporting period. It calculates total revenue, refunds, net revenue, MRR, and ARR. Customer insights like top customers and unique buyers are generated. Payment methods are analyzed to show revenue distribution by card type. Risk analysis highlights low, medium, and high-risk transactions. Refund behavior and refund reasons are summarized clearly. All insights are formatted into a clean, readable Slack report. This removes spreadsheets and delivers reliable finance insights automatically.

This automation monitors lead response SLAs and escalates unreplied leads automatically.It runs every 5 minutes using an n8n Cron trigger.The workflow fetches lead records from Google Sheets.It checks for leads marked unreplied for more than 15 minutes.Each lead is enriched with a direct Google Sheet access link.Structured SLA breach alerts are generated with full lead context.Alerts are sent instantly to Telegram for escalation.Every lead is evaluated independently without manual checks.The system enforces strict response-time compliance across teams.Result: automated SLA monitoring with zero missed or delayed leads.

This automation builds an AI-powered n8n workflow validation and reporting system using n8n, Google Drive, Azure OpenAI (GPT-4o), and Slack. It automatically fetches workflow JSON files from Google Drive, validates their structure, and checks for compliance with n8n guidelines. The workflow evaluates key aspects like JSON validity, documentation quality, and security. An AI-driven analysis generates a professional, human-readable validation report. This report is formatted and archived to Google Drive, then shared via Gmail and Slack. The automation eliminates the need for manual validation, ensuring consistent and accurate reporting. It provides detailed insights into workflow quality, node naming, and compliance. The workflow also logs any errors related to failed downloads or validation issues. It removes repetitive tasks, allowing teams to focus on improving workflow design and execution. Ideal for DevOps teams, automation architects, and developers, this system streamlines workflow validation with AI assistance.

This automation builds a production-grade Weekly Lead Attribution Reporting System using n8n, Google Sheets, Azure OpenAI, and Gmail. It runs on a schedule and automatically pulls lead data from Google Sheets. The workflow cleans and normalizes inconsistent source and spend fields. Leads are aggregated by channel with total counts calculated. Ad spend is processed to compute accurate Cost Per Lead (CPL) per source. A structured JSON summary is prepared for reporting. GPT-4o-mini converts the data into a professional, responsive HTML report. The report includes key metrics, CPL breakdown, insights, and priority actions. The final output is mobile-friendly and email-ready. The report is automatically sent via Gmail with zero manual effort.