Automated finance tracker with Gmail, Google Sheets & GPT-4o monthly reports
π What This Workflow Does
This automation helps small business owners track income and expenses effortlessly, turning scattered emails and WhatsApp messages into structured financial data β all without manual entry.
Every month, it:
- Pulls receipts and invoices from your Gmail and WhatsApp
- Uses AI to extract key details (date, vendor, amount, category)
- Logs everything into Google Sheets
- Generates a monthly cash flow forecast with visual insights
- Sends you a clear, concise email report with AI-powered recommendations
No more spreadsheet stress. No more missing receipts. Just financial peace of mind β delivered every month.
π‘ Why It Matters
As a small business owner, your time is too valuable to spend manually logging transactions. This workflow automates the entire finance tracking loop β from receipt capture to insight delivery β so you can:
- Know exactly where your money is going
- Spot trends and plan ahead
- Make smarter decisions with real-time data
- Start each month with confidence
It's soft tech at its best: simple, elegant, and deeply useful.
π οΈ How It Works
- Triggers monthly on the 1st at 9 AM (customizable)
- Scans your inbox for new receipts/invoices via Gmail
- Uses GPT-4o to parse text and extract financial data
- Avoids duplicates by checking existing entries
- Saves to Google Sheets with clean formatting
- Generates a monthly summary with:
- Total income & expenses
- Net profit/loss
- Expense breakdown (pie chart via QuickChart)
- AI-written insights and action steps
- Delivers a beautiful email report with visuals and next steps
π§© Tools Used
- Gmail (IMAP)
- WhatsApp (via Twilio)
- Google Sheets
- OpenAI (GPT-4o)
- Cron (scheduled trigger)
- Email (SMTP)
β Built With Soft Tech Principles
- Zero-code design
- Human-first UX
- Scalable for any small business
- Privacy-respecting (no sensitive data stored)
- Easy to customize and extend
π Perfect For
- Solopreneurs
- Coaches & consultants
- E-commerce sellers
- Service-based businesses
- Anyone tired of manual bookkeeping
"I used to dread my monthly financial review. Now I get a clear, friendly report that tells me whatβs working β and what to fix. This one workflow saved me 4 hours a month." β Sarah L., Online Coach
Automated Finance Tracker with Gmail, Google Sheets, and GPT-4o Monthly Reports
This n8n workflow automates the process of tracking financial transactions from your Gmail inbox, logging them into a Google Sheet, and generating a monthly financial summary using OpenAI (GPT-4o).
What it does
This workflow simplifies personal or small business finance tracking by automating several key steps:
- Schedules Monthly Execution: The workflow runs on a predefined schedule (e.g., once a month) to generate a financial report for the previous month.
- Fetches Transactions from Gmail: It retrieves all emails from your Gmail inbox that match specific criteria (e.g., "from:yourbank@example.com subject:transaction").
- Extracts Transaction Data: A custom JavaScript function processes the fetched emails to extract relevant transaction details such as date, description, amount, and category.
- Categorizes Transactions with AI: For each transaction, it uses OpenAI (GPT-4o) to intelligently categorize the expense or income based on the transaction description.
- Logs Data to Google Sheets: The extracted and categorized transaction data is then appended as new rows to a specified Google Sheet.
- Generates Monthly Financial Report: After processing all transactions for the month, it uses OpenAI (GPT-4o) to generate a comprehensive summary report, including insights into spending patterns, income, and overall financial health.
- Sends Monthly Report via Email: The generated financial report is then sent to a specified email address, providing a convenient monthly overview.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Gmail Account: Configured with credentials in n8n to allow reading emails.
- Google Sheets Account: Configured with credentials in n8n and a target spreadsheet where transaction data will be logged.
- OpenAI API Key: An OpenAI API key with access to GPT-4o (or a compatible model) for transaction categorization and report generation.
- Email Account for Reports: An email account configured in n8n to send the monthly financial reports (e.g., via SMTP).
Setup/Usage
-
Import the Workflow:
- Download the provided JSON file.
- In your n8n instance, click "Workflows" in the left sidebar.
- Click "New" and then "Import from JSON".
- Paste the JSON content or upload the file.
-
Configure Credentials:
- Gmail Node: Set up your Gmail OAuth2 credentials.
- Google Sheets Node: Set up your Google Sheets OAuth2 credentials and specify the Spreadsheet ID and Sheet Name.
- OpenAI Node: Set up your OpenAI API Key credential.
- Send Email Node: Configure your SMTP or other email sending credentials.
-
Customize Nodes:
- Cron Node (ID: 7): Adjust the schedule to your preference (e.g., "Every 1st day of the month at 08:00").
- Gmail Node (ID: 356): Update the "Query" field to filter for your specific financial transaction emails (e.g.,
from:("yourbank@example.com" OR "anotherbank@example.com") subject:(transaction OR payment OR statement)). - Function Node (ID: 14): This node contains custom JavaScript logic for parsing email content. You might need to adjust this script based on the specific format of your bank's transaction emails to accurately extract
date,description,amount, andtype(income/expense). - OpenAI Nodes (ID: 840):
- The first OpenAI node is used for categorization. Review its prompt to ensure it effectively categorizes your transactions.
- The second OpenAI node generates the monthly report. Customize its prompt to define the desired structure and content of your financial summary.
- Google Sheets Node (ID: 18): Ensure the "Sheet Name" and "Spreadsheet ID" are correctly set to your target Google Sheet.
- Send Email Node (ID: 11): Update the "To" email address, "From" email address, and customize the email subject and body as needed.
-
Activate the Workflow: Once all configurations are complete, activate the workflow by toggling the "Active" switch in the top right corner of the workflow editor.
The workflow will now automatically run on its schedule, process your financial emails, update your Google Sheet, and send you a monthly financial report.
Related Templates
Automate Dutch Public Procurement Data Collection with TenderNed
TenderNed Public Procurement What This Workflow Does This workflow automates the collection of public procurement data from TenderNed (the official Dutch tender platform). It: Fetches the latest tender publications from the TenderNed API Retrieves detailed information in both XML and JSON formats for each tender Parses and extracts key information like organization names, titles, descriptions, and reference numbers Filters results based on your custom criteria Stores the data in a database for easy querying and analysis Setup Instructions This template comes with sticky notes providing step-by-step instructions in Dutch and various query options you can customize. Prerequisites TenderNed API Access - Register at TenderNed for API credentials Configuration Steps Set up TenderNed credentials: Add HTTP Basic Auth credentials with your TenderNed API username and password Apply these credentials to the three HTTP Request nodes: "Tenderned Publicaties" "Haal XML Details" "Haal JSON Details" Customize filters: Modify the "Filter op ..." node to match your specific requirements Examples: specific organizations, contract values, regions, etc. How It Works Step 1: Trigger The workflow can be triggered either manually for testing or automatically on a daily schedule. Step 2: Fetch Publications Makes an API call to TenderNed to retrieve a list of recent publications (up to 100 per request). Step 3: Process & Split Extracts the tender array from the response and splits it into individual items for processing. Step 4: Fetch Details For each tender, the workflow makes two parallel API calls: XML endpoint - Retrieves the complete tender documentation in XML format JSON endpoint - Fetches metadata including reference numbers and keywords Step 5: Parse & Merge Parses the XML data and merges it with the JSON metadata and batch information into a single data structure. Step 6: Extract Fields Maps the raw API data to clean, structured fields including: Publication ID and date Organization name Tender title and description Reference numbers (kenmerk, TED number) Step 7: Filter Applies your custom filter criteria to focus on relevant tenders only. Step 8: Store Inserts the processed data into your database for storage and future analysis. Customization Tips Modify API Parameters In the "Tenderned Publicaties" node, you can adjust: offset: Starting position for pagination size: Number of results per request (max 100) Add query parameters for date ranges, status filters, etc. Add More Fields Extend the "Splits Alle Velden" node to extract additional fields from the XML/JSON data, such as: Contract value estimates Deadline dates CPV codes (procurement classification) Contact information Integrate Notifications Add a Slack, Email, or Discord node after the filter to get notified about new matching tenders. Incremental Updates Modify the workflow to only fetch new tenders by: Storing the last execution timestamp Adding date filters to the API query Only processing publications newer than the last run Troubleshooting No data returned? Verify your TenderNed API credentials are correct Check that you have setup youre filter proper Need help setting this up or interested in a complete tender analysis solution? Get in touch π LinkedIn β Wessel Bulte
π How to transform unstructured email data into structured format with AI agent
This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From β senderβs email address To β recipientβs email address Subject β email subject line Summary β short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits β Full Automation: Eliminates manual reading and data entry from incoming emails. β Multi-Source Integration: Handles data from different email providers seamlessly. β AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. β Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. β Time Efficiency: Processes emails in real time, improving productivity and response speed. *β Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
Tax deadline management & compliance alerts with GPT-4, Google Sheets & Slack
AI-Driven Tax Compliance & Deadline Management System Description Automate tax deadline monitoring with AI-powered insights. This workflow checks your tax calendar daily at 8 AM, uses GPT-4 to analyze upcoming deadlines across multiple jurisdictions, detects overdue and critical items, and sends intelligent alerts via email and Slack only when immediate action is required. Perfect for finance teams and accounting firms who need proactive compliance management without manual tracking. ποΈπ€π Good to Know AI-Powered: GPT-4 provides risk assessment and strategic recommendations Multi-Jurisdiction: Handles Federal, State, and Local tax requirements automatically Smart Alerts: Only notifies executives when deadlines are overdue or critical (β€3 days) Priority Classification: Categorizes deadlines as Overdue, Critical, High, or Medium priority Dual Notifications: Critical alerts to leadership + daily summaries to team channel Complete Audit Trail: Logs all checks and deadlines to Google Sheets for compliance records How It Works Daily Trigger - Runs at 8:00 AM every morning Fetch Data - Pulls tax calendar and company configuration from Google Sheets Analyze Deadlines - Calculates days remaining, filters by jurisdiction/entity type, categorizes by priority AI Analysis - GPT-4 provides strategic insights and risk assessment on upcoming deadlines Smart Routing - Only sends alerts if overdue or critical deadlines exist Critical Alerts - HTML email to executives + Slack alert for urgent items Team Updates - Slack summary to finance channel with all upcoming deadlines Logging - Records compliance check results to Google Sheets for audit trail Requirements Google Sheets Structure Sheet 1: TaxCalendar DeadlineID | DeadlineName | DeadlineDate | Jurisdiction | Category | AssignedTo | IsActive FED-Q1 | Form 1120 Q1 | 2025-04-15 | Federal | Income | John Doe | TRUE Sheet 2: CompanyConfig (single row) Jurisdictions | EntityType | FiscalYearEnd Federal, California | Corporation | 12-31 Sheet 3: ComplianceLog (auto-populated) Date | AlertLevel | TotalUpcoming | CriticalCount | OverdueCount 2025-01-15 | HIGH | 12 | 3 | 1 Credentials Needed Google Sheets - Service Account OAuth2 OpenAI - API Key (GPT-4 access required) SMTP - Email account for sending alerts Slack - Bot Token with chat:write permission Setup Steps Import workflow JSON into n8n Add all 4 credentials Replace these placeholders: YOURTAXCALENDAR_ID - Tax calendar sheet ID YOURCONFIGID - Company config sheet ID YOURLOGID - Compliance log sheet ID C12345678 - Slack channel ID tax@company.com - Sender email cfo@company.com - Recipient email Share all sheets with Google service account email Invite Slack bot to channels Test workflow manually Activate the trigger Customizing This Workflow Change Alert Thresholds: Edit "Analyze Deadlines" node: Critical: Change <= 3 to <= 5 for 5-day warning High: Change <= 7 to <= 14 for 2-week notice Medium: Change <= 30 to <= 60 for 2-month lookout Adjust Schedule: Edit "Daily Tax Check" trigger: Change hour/minute for different run time Add multiple trigger times for tax season (8 AM, 2 PM, 6 PM) Add More Recipients: Edit "Send Email" node: To: cfo@company.com, director@company.com CC: accounting@company.com BCC: archive@company.com Customize Email Design: Edit "Format Email" node to change colors, add logo, or modify layout Add SMS Alerts: Insert Twilio node after "Is Critical" for emergency notifications Integrate Task Management: Add HTTP Request node to create tasks in Asana/Jira for critical deadlines Troubleshooting | Issue | Solution | |-------|----------| | No deadlines found | Check date format (YYYY-MM-DD) and IsActive = TRUE | | AI analysis failed | Verify OpenAI API key and account credits | | Email not sending | Test SMTP credentials and check if critical condition met | | Slack not posting | Invite bot to channel and verify channel ID format | | Permission denied | Share Google Sheets with service account email | π Professional Services Need help with implementation or customization? Our team offers: π― Custom workflow development π’ Enterprise deployment support π Team training sessions π§ Ongoing maintenance π Custom reporting & dashboards π Additional API integrations Discover more workflows β Get in touch with us