Multi-source tax & cash flow forecasting with GPT-4, Gmail and Google Sheets
How It Works
Automates monthly revenue aggregation from multiple sources with intelligent tax forecasting using GPT-4 structured analysis. Fetches revenue data from up to three distinct sources, consolidates datasets into unified records, applies OpenAI GPT-4 model for predictive tax obligation forecasting with context awareness. System generates formatted reports with structured forecast outputs and automatically sends comprehensive tax projections to agents via Gmail, storing results in Google Sheets for audit trails. Designed for tax professionals, accounting firms, and finance teams requiring accurate predictive tax planning, cash flow forecasting, and proactive compliance strategy without manual calculations.
Setup Steps
- Configure OpenAI API key for GPT-4 model access
- Connect three revenue data sources with appropriate credentials
- Map data aggregation logic for multi-source consolidation
- Define structured output schema for forecast results
- Set up Gmail for automated agent notification
- Configure Google Sheets destination
Prerequisites
OpenAI API key with GPT-4 access, Gmail account, Google Sheets, three revenue data source credentials
Use Cases
Monthly tax liability projections, quarterly estimated tax planning
Customization
Adjust forecast model parameters, add additional revenue sources, modify email templates
Benefits
Eliminates manual tax calculations, enables proactive tax planning, improves cash flow forecasting accuracy
n8n Workflow: Multi-Source Tax & Cash Flow Forecasting with GPT-4, Gmail, and Google Sheets
This n8n workflow automates the process of gathering financial data from multiple sources (implied by the node types), processing it with an AI agent (likely GPT-4), and then storing or presenting the results in Google Sheets, with potential email notifications via Gmail. It aims to simplify complex financial forecasting by leveraging AI for analysis and structured output.
What it does
This workflow performs the following key steps:
- Schedules Execution: The workflow is triggered on a predefined schedule, indicating regular, automated execution for continuous forecasting.
- Retrieves Data (Google Sheets): It reads data from a Google Sheet, which likely serves as a primary source for financial inputs or existing records.
- Processes Data with AI Agent: An "AI Agent" node (likely configured with GPT-4) is used to analyze the retrieved data. This agent is designed to understand and process complex financial information for forecasting.
- Generates Structured Output: A "Structured Output Parser" is employed after the AI Agent, ensuring that the AI's analysis is formatted into a consistent, machine-readable structure (e.g., JSON), which is crucial for further automation.
- Aggregates Data: The "Aggregate" node combines or consolidates the processed data, preparing it for storage or further action.
- Edits Fields: The "Edit Fields (Set)" node allows for modification or transformation of the data before it's written back to Google Sheets. This could involve cleaning, reformatting, or adding new calculated fields.
- Updates Google Sheets: The processed and structured data is then written back to a Google Sheet, presumably to update a master forecast or a reporting dashboard.
- Sends Email Notifications (Gmail): The workflow is capable of sending emails via Gmail, which could be used to notify stakeholders about updated forecasts, report anomalies, or request further input.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Google Account: With access to Google Sheets and Gmail for credential setup.
- OpenAI API Key: Or access to another compatible large language model for the "AI Agent" node (likely GPT-4 as suggested by the directory name).
- n8n Credentials: Configured for Google Sheets, Gmail, and your chosen AI provider (e.g., OpenAI).
Setup/Usage
- Import the Workflow: Download the JSON provided and import it into your n8n instance.
- Configure Credentials:
- Set up your Google Sheets credentials to allow n8n to read from and write to your specified spreadsheets.
- Configure your Gmail credentials for sending email notifications.
- Set up your AI provider credentials (e.g., OpenAI API Key) for the "AI Agent" node.
- Customize Nodes:
- Google Sheets (Read): Specify the spreadsheet ID and sheet name from which to read your financial data.
- AI Agent: Adjust the prompt and any specific instructions for the AI to perform the desired tax and cash flow forecasting analysis.
- Structured Output Parser: Ensure the schema matches the expected output format from your AI agent.
- Edit Fields (Set): Modify this node to perform any necessary data transformations or calculations.
- Google Sheets (Write): Specify the target spreadsheet ID and sheet name where the forecast results should be written.
- Gmail: Configure the recipient email addresses, subject, and body for your notifications.
- Schedule Trigger: Adjust the schedule to your desired frequency for running the forecast (e.g., daily, weekly, monthly).
- Activate the Workflow: Once configured, activate the workflow to start automated forecasting.
Related Templates
Two-way property repair management system with Google Sheets & Drive
This workflow automates the repair request process between tenants and building managers, keeping all updates organized in a single spreadsheet. It is composed of two coordinated workflows, as two separate triggers are required — one for new repair submissions and another for repair updates. A Unique Unit ID that corresponds to individual units is attributed to each request, and timestamps are used to coordinate repair updates with specific requests. General use cases include: Property managers who manage multiple buildings or units. Building owners looking to centralize tenant repair communication. Automation builders who want to learn multi-trigger workflow design in n8n. --- ⚙️ How It Works Workflow 1 – New Repair Requests Behind the Scenes: A tenant fills out a Google Form (“Repair Request Form”), which automatically adds a new row to a linked Google Sheet. Steps: Trigger: Google Sheets rowAdded – runs when a new form entry appears. Extract & Format: Collects all relevant form data (address, unit, urgency, contacts). Generate Unit ID: Creates a standardized identifier (e.g., BUILDING-UNIT) for tracking. Email Notification: Sends the building manager a formatted email summarizing the repair details and including a link to a Repair Update Form (which activates Workflow 2). --- Workflow 2 – Repair Updates Behind the Scenes:\ Triggered when the building manager submits a follow-up form (“Repair Update Form”). Steps: Lookup by UUID: Uses the Unit ID from Workflow 1 to find the existing row in the Google Sheet. Conditional Logic: If photos are uploaded: Saves each image to a Google Drive folder, renames files consistently, and adds URLs to the sheet. If no photos: Skips the upload step and processes textual updates only. Merge & Update: Combines new data with existing repair info in the same spreadsheet row — enabling a full repair history in one place. --- 🧩 Requirements Google Account (for Forms, Sheets, and Drive) Gmail/email node connected for sending notifications n8n credentials configured for Google API access --- ⚡ Setup Instructions (see more detail in workflow) Import both workflows into n8n, then copy one into a second workflow. Change manual trigger in workflow 2 to a n8n Form node. Connect Google credentials to all nodes. Update spreadsheet and folder IDs in the corresponding nodes. Customize email text, sender name, and form links for your organization. Test each workflow with a sample repair request and a repair update submission. --- 🛠️ Customization Ideas Add Slack or Telegram notifications for urgent repairs. Auto-create folders per building or unit for photo uploads. Generate monthly repair summaries using Google Sheets triggers. Add an AI node to create summaries/extract relevant repair data from repair request that include long submissions.
Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution
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.
Track daily moods with AI analysis & reports using GPT-4o, Data Tables & Gmail
Track your daily mood in one tap and receive automated AI summaries of your emotional trends every week and month. Perfect for self-reflection, wellness tracking, or personal analytics. This workflow logs moods sent through a webhook (/mood) into Data Tables, analyzes them weekly and monthly with OpenAI (GPT-4o), and emails you clear summaries and actionable recommendations via Gmail. ⚙️ How It Works Webhook – Mood → Collects new entries (🙂, 😐, or 😩) plus an optional note. Set Mood Data → Adds date, hour, and note fields automatically. Insert Mood Row → Stores each record in a Data Table. Weekly Schedule (Sunday 20:00) → Aggregates the last 7 days and sends a summarized report. Monthly Schedule (Day 1 at 08:00) → Aggregates the last 30 days for a deeper AI analysis. OpenAI Analysis → Generates insights, patterns, and 3 actionable recommendations. Gmail → Sends the full report (chart + AI text) to your inbox. 📊 Example Auto-Email Weekly Mood Summary (last 7 days) 🙂 5 ██████████ 😐 2 ████ 😩 0 Average: 1.7 (Positive 🙂) AI Insights: You’re trending upward this week — notes show that exercise days improved mood. Try keeping short walks mid-week to stabilize energy. 🧩 Requirements n8n Data Tables enabled OpenAI credential (GPT-4o or GPT-4 Turbo) Gmail OAuth2 credential to send summaries 🔧 Setup Instructions Connect your credentials: Add your own OpenAI and Gmail OAuth2 credentials. Set your Data Table ID: Open the Insert Mood Row node and enter your own Data Table ID. Without this, new moods won’t be stored. Replace the email placeholder: In the Gmail nodes, replace your.email@example.com with your actual address. Deploy and run: Send a test POST request to /mood (e.g. { "mood": "🙂", "note": "productive day" }) to log your first entry. ⚠️ Before activating the workflow, ensure you have configured the Data Table ID in the “Insert Mood Row” node. 🧠 AI Analysis Interprets mood patterns using GPT-4o. Highlights trends, potential triggers, and suggests 3 specific actions. Runs automatically every week and month. 🔒 Security No personal data is exposed outside your n8n instance. Always remove or anonymize credential references before sharing publicly. 💡 Ideal For Personal mood journaling and AI feedback Therapists tracking client progress Productivity or self-quantification projects 🗒️ Sticky Notes Guide 🟡 Mood Logging Webhook POST /mood receives mood + optional note. ⚠️ Configure your own Data Table ID in the “Insert Mood Row” node before running. 🟢 Weekly Summary Runs every Sunday 20:00 → aggregates last 7 days → generates AI insights + emails report. 🔵 Monthly Summary Runs on Day 1 at 08:00 → aggregates last 30 days → creates monthly reflection. 🟣 AI Analysis Uses OpenAI GPT-4o to interpret trends and recommend actions. 🟠 Email Delivery Sends formatted summaries to your inbox automatically.