Monitor Gmail for incoming invoices, fetch PDFs, archive to Drive or FTP, extract structured data with AI, log to Sheets, and enable audit-ready reporting.
The AI agent monitors Gmail for invoices and downloads PDF attachments from your chosen providers. It archives PDFs to Google Drive or an optional FTP/SFTP location and logs metadata to Google Sheets. It uses AI to extract structured fields (vendor, date, amount, tax details, line items) and makes data searchable for audits and reporting.
Performs end-to-end invoice intake, storage, and data extraction.
Monitor Gmail for new invoices from ISP and utility providers
Download PDF invoices and save them to a designated folder
Upload PDFs to Google Drive or FTP/SFTP server
Run AI-based extraction to parse fields like vendor, date, number, amount, and items
Validate and sanitize extracted JSON so it can be used downstream
Append parsed data to Google Sheets for centralized reporting
Before, invoices arrived by email as PDFs scattered across drives and inboxes, with data buried in PDFs and spreadsheets missing fields. After, invoices are automatically archived, data is consistently extracted, and a single Sheet tracks all invoices with auditable provenance.
A simple 3-step flow anyone can follow.
Runs at your chosen interval to start the AI agent and check for new invoices.
Fetches emails from configured senders with PDF attachments and downloads the invoices.
Extracts structured fields with the AI model, uploads PDFs to Drive/FTP, and appends data to Sheets.
One realistic scenario showing timing and outcome.
A small business receives 3–5 invoices daily from ISP and utilities. The AI agent runs hourly, archives PDFs to Drive with a standardized filename, extracts fields such as Vendor, Invoice Number, Date, Total Amount, and Line Items, and appends them to a Google Sheet. By the end of the day, all invoices for the day are searchable in one Sheet, enabling quick expense reviews and month-end reporting.
Roles that gain from automated invoice handling.
Need a reliable, auditable end-to-end invoice workflow that reduces manual data entry.
Require consistent extraction of line items and totals for ledgers.
Want centralized access to all invoices and fast retrieval for audits.
Need up-to-date visibility into vendor spend and invoice status.
Configure OAuth connections and manage security for Drive/FTP access.
Require streamlined expense data for reporting and budgeting.
Key tools used inside the AI agent workflow.
Read emails from ISP/utility senders and fetch invoice PDFs
Archive PDFs in a designated folder with standardized filenames
Optional upload to a private server for archival compliance
Append extracted fields to a centralized sheet for reporting
Parse invoice content and output structured JSON fields
Practical scenarios where the AI agent shines.
Common concerns and practical answers.
The AI agent is designed to handle standard PDF invoices from ISP and utility providers. It uses a structured JSON schema to extract fields such as vendor, invoice_number, date, total_amount, tax_details, and line_items. If a PDF contains machine-readable text, extraction is highly reliable; for scanned images, OCR may be used as a fallback. The system is designed to be tolerant of common invoice layouts and can be extended to additional fields if needed. In cases where a field is missing, the result will indicate the gap for manual review.
OCR is only used when the invoice PDF is image-based and lacks selectable text. If the PDF is text-based, no OCR is performed, and extraction relies on the AI model analyzing the text. The AI model then outputs a strict JSON with core fields. You can fine-tune mappings to capture additional data if your invoices differ from the standard format. In scenarios with poor scan quality, you may need to provide higher-resolution scans for better extraction.
Yes. The workflow supports optional FTP/SFTP delivery. In that setup, the agent uploads the invoice PDFs to your private server and can delete local copies if you prefer. Drive can still hold a long-term archive while FTP serves as the primary off-site backup. You should ensure the FTP server is secured and access is restricted to trusted networks. You can enable or disable FTP independently of the Google Drive path.
Security relies on proper OAuth2 or Service Account configuration for Google services and strong credentials for any FTP/SFTP servers. Access is limited by the permissions you grant to the Google account and file/folder sharing settings. Sensitive fields in Sheets should be protected with proper access controls. Regular rotation of credentials and minimal-permission scopes reduce risk. Always follow your organization's data protection policies when archiving invoices.
The AI extraction pipeline extracts core fields by default, including vendor, invoice_number, date, total_amount, tax_details, and line_items. You can extend the schema to include additional fields as needed. The JSON post-processor validates and sanitizes the output to ensure compatibility with downstream systems like Sheets. If you need special mappings, you can adjust the AI prompt to capture those fields. Validation ensures data consistency before storage.
Yes. The workflow is designed to run on a configurable schedule (e.g., hourly or every 30 minutes). You can also trigger it manually for ad-hoc batches. Scheduling ensures timely processing of invoices as they arrive. The system handles idempotency, avoiding duplicate processing by checking message IDs and file names. You can pause or resume the schedule with a single setting.
Original emails can be left in Gmail or deleted after processing. The default behavior keeps the email for a short period to allow for review, then the AI agent can remove it to keep your inbox clean. If you delete emails automatically, you ensure you have to reprocess only if you recover the email. You can configure an archival label in Gmail to preserve a copy for compliance. The choice depends on your retention policy and workflow hygiene.
Monitor Gmail for incoming invoices, fetch PDFs, archive to Drive or FTP, extract structured data with AI, log to Sheets, and enable audit-ready reporting.
