Quick overview This workflow runs hourly to analyze warehouse receiving logs from Google Sheets, calculates per-user performance and compliance metrics, enriches results with department data, uses Google Gemini to generate recommendations for flagged users, emails managers via Gmail when escalation is needed, and appends results to an analytics dashboard sheet. How it works Runs every hour on a schedule trigger. Reads receiving log rows from Google Sheets and normalizes key fields like duration, errors, and compliance. Aggregates the log data by user_id and computes performance status, severity score, and alert tier based on time, errors, and compliance rate. Looks up each user’s department and manager email in a Google Sheets “Departments” tab and attaches this context to the analysis. For users not rated “good,” sends the metrics to Google Gemini to generate structured root-cause and action-step recommendations. If the alert tier is not “none,” sends an info/warning or critical escalation email via Gmail (using manager_email when available).
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GmailGoogle Gemini
Google SheetsRelated workflows
See all AI Automation→Qualify Facebook lead ads and send follow-ups with Gemini, Gmail, and Sheets
Quick overview Turn every Facebook ad lead into a qualified, followed-up prospect within seconds. AI scores their intent, sends a personalized email tailored to their score, logs campaign intelligence to Google Sheets, and alerts you instantly to hot leads before they consider a competitor. How it works Receives a lead submission via an n8n webhook (or the disabled Facebook Lead Ads trigger). Extracts and normalizes contact details, qualification answers, and Facebook campaign metadata into a consistent lead record. Sends the lead details to Google Gemini to classify the lead as Hot/Warm/Cold and generate a personalized follow-up email. Parses and formats the AI output, falling back to a default email draft if the response cannot be parsed. If an email address is present, sends the AI-written follow-up email to the lead using Gmail. Appends the lead, AI score, reasoning, and campaign fields to a Google Sheets log. If the lead is scored Hot, notifies the agent via Gmail and Slack, then updates the Google Sheets row to mark the agent as notified. Setup Credentials needed: Add credentials for Google Gemini (PaLM/Gemini API), Gmail OAuth2, Google Sheets OAuth2, Slack OAuth2 (optional),
Run AI employee onboarding with Groq, Google Workspace, and Gemini
Quick overview This workflow ingests onboarding documents from Google Drive into an in-memory vector store with Google Gemini embeddings, then runs a multi-channel onboarding chatbot powered by Groq, sends role-based welcome emails via Gmail when a new hire appears in Google Sheets, and schedules day 1/7/30 check-in emails. How it works Manually runs an ingestion flow that lists files in a specified Google Drive folder, downloads them, extracts text, and indexes them into an in-memory vector store using Google Gemini embeddings. Receives employee questions via n8n Chat (and optionally Slack or Telegram), normalizes the message into a single format, and rejects empty or overly long inputs. Uses a Groq LLM agent with per-user session memory to retrieve relevant excerpts from the in-memory company_docs knowledge base and generate a grounded answer, or directs the user to HR when no relevant content is found. Routes the assistant’s response back to the originating channel (n8n Chat, and optionally Slack or Telegram). Triggers every minute on updates to a Google Sheets “Hires” sheet, validates rows marked as Hired, and skips hires already present in the “Tracking” sheet. Builds a depart
Monitor overtime risk against Japanese labour caps with Gemini, Sheets, Slack & Gmail
Quick Overview This workflow runs weekly to read attendance overtime from Google Sheets, totals it per employee and month, uses Google Gemini to classify risk against Japanese labour-law limits, writes results back to Sheets, and escalates high-risk cases via Slack and a Gmail draft. How it works Runs every week on a schedule. Loads configured Japanese overtime limits and fetches raw attendance rows from a Google Sheets “Attendance” worksheet. Aggregates overtime hours per employee per month. Sends each employee-month total to Google Gemini, which returns a structured risk level (over/approaching/ok) plus a short summary and recommended manager actions. Stores or updates the assessment in a Google Sheets “Overtime Status” worksheet keyed by employee and month. Posts to Slack when overtime is over the cap (and drafts a manager notice in Gmail), posts an early-warning Slack message when approaching the cap, and flags unclear or failed assessments to Slack for manual review. Setup Add credentials for Google Sheets OAuth, Google Gemini (PaLM) API, Slack OAuth2, and Gmail OAuth2. Create a Google Sheets spreadsheet with an “Attendance” sheet containing Employee (or Name), Month (or Date)