Monitor a Drive folder for invoices, extract data with AI, file by date, rename consistently, and log in Sheets.
The AI agent watches the Google Drive input folder and triggers processing when new PDFs arrive. It uses AI-powered data extraction to capture vendor, invoice number, date, amounts, and VAT, even from scanned documents. Finally, it sorts invoices by year and month, renames files with a consistent schema, moves them to the right folders, and logs all data in Google Sheets for centralized visibility.
Performs end-to-end invoice data capture, filing, and recording practices.
Monitor a Google Drive input folder for new PDFs.
Extract data fields from invoices (vendor, invoice number, date, amounts, VAT) using AI.
Sort invoices into year and month folders automatically.
Rename files using a consistent schema (Company Month Year).
Move files to the correct year/month folder and verify placement.
Log extracted data into Google Sheets for centralized reporting.
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple 3-step system that non-technical users can follow.
The Google Drive Trigger watches the input folder and starts processing automatically when new PDFs are added, with batch processing enabled for multiple files.
PDFs are converted to text; Information Extractor with Google Gemini identifies and structures fields like vendor, invoice number, dates, and amounts.
Year and month folders are created as needed, files are moved and renamed, and all data is logged into Google Sheets.
A realistic scenario illustrating timing and outcomes.
Scenario: A batch of 12 invoices arrives in the Invoices-Inbox folder. The AI agent processes each invoice in under 60 seconds, extracts key fields, stores files under 2026/April, renames them as 'Company April 2026', and appends each record to the Google Sheets overview. By the end, all invoices are archived consistently with a traceable data sheet for audit and reporting.
Roles that gain practical value from this AI agent.
Speeds up data capture and reduces manual entry.
Gains real-time visibility into invoice status and spend.
Ensures consistent filing and audit-ready records.
Has reliable, searchable invoices and data for reviews.
Leverages a low-maintenance, cloud-based workflow.
Improves spend reporting by month and year.
Core tools and what they do inside the AI agent.
Monitors input folder, triggers processing, and stores organized invoices.
Logs extracted data and supports dashboards for reporting.
Provides AI data extraction for policy-adapted invoice fields.
Converts PDFs to text for AI extraction.
Orchestrates field extraction and data structuring.
Runs the AI model for accurate data capture.
Enables processing of multiple invoices in parallel.
Concrete scenarios where this AI agent shines.
Common questions and practical answers.
The AI agent processes PDF invoices (text and OCR) and can handle scanned documents. It extracts a core set of fields such as vendor, invoice number, date, line items, totals, and VAT. If a PDF is unreadable or missing fields, the system logs an extraction note and continues processing other invoices. For partial data, you can configure fallbacks and prompts to guide the AI to fill in missing values.
You need Google Drive and Google Sheets access with appropriate folders and permissions, and an API key for Google Gemini. The AI agent relies on n8n nodes for file triggering, downloading, and data routing, plus the Information Extractor to structure the extracted data. The environment should support OCR when handling scanned documents. Regular quotas and API limits should be monitored.
Extraction accuracy is high for standardized invoices—around 95% in typical use cases. Accuracy can vary with non-standard layouts or poor scan quality. You can improve results by refining attribute mappings in the Information Extractor and by providing templates for known vendors. The system logs confidence scores to help you review uncertain extractions.
The workflow fails gracefully if critical folders are missing, and it will retry according to the configured polling schedule. If a file is unreadable, it’s logged with an extraction note and skipped for that run. You can set up alerts for repeated failures to address permissions or path issues.
Yes. You can customize the Information Extractor to capture additional attributes (like payment terms or due date) and map them to your Sheets columns. Changes propagate to the log automatically, but you should validate new fields in a test run. You can also adjust prompts to improve extraction for vendors with unusual formats.
The system can be configured for different locales and formats, including non-German invoices. You may need to adjust number formats, date parsing, and currency handling. The AI extraction layer supports locale-aware parsing and can be extended with vendor-specific templates. Regular testing ensures accuracy across locales.
Monitor workflow execution in the n8n dashboard and check Google API quotas if extraction stalls. Review logs for errors related to missing folders, permissions, or API keys. You can enable verbose logging for troubleshooting and configure alerts for failures.
Monitor a Drive folder for invoices, extract data with AI, file by date, rename consistently, and log in Sheets.
