Automation Route

Build an Invoice Processing Automation With Make

Invoices pile up in your inbox while you manually enter vendor names, amounts, and due dates into a spreadsheet. Automate the whole thing with Make and AI.

12 steps ~2h For operations Free

An invoice processing automation in Make reads incoming invoices from email or cloud storage, extracts key data (vendor name, amount, due date, line items, tax), logs it in Google Sheets or your accounting tool, and routes invoices for approval. On aidowith.me, the Automation in Make route walks you through 12 steps to build this workflow. You set up an email trigger or Google Drive watcher, add AI-powered data extraction that reads invoice PDFs and unstructured email text, map the extracted fields to your tracking spreadsheet, and configure approval routing based on amount thresholds. Invoices over a set amount go to a manager for approval via Slack. Smaller ones get logged automatically. The automation processes invoices in seconds instead of the 5-10 minutes each one takes manually. Teams typically save 8-12 hours per month. The full build takes about 2 hours with no coding required.

Last updated: April 2026

The Problem and the Fix

Without a route

  • You spend 10 minutes per invoice manually entering vendor, amount, and due date into your tracker
  • Late payment fees pile up because invoices sit unprocessed in someone's inbox for days
  • Your invoice spreadsheet has entry errors that show up during monthly reconciliation

With aidowith.me

  • AI extracts invoice data in seconds, whether the invoice is a PDF attachment or email text
  • Automatic approval routing: invoices over your threshold go to a manager via Slack
  • 8-12 hours saved per month with fewer data entry errors in your financial tracking

Who Builds This With AI

Ops & Analysts

Summaries, process docs, and structured output from messy inputs.

Managers & Leads

Reports, presentations, and team comms handled faster.

Marketers

Content, campaigns, and briefs done in hours instead of days.

How It Works

1

Set up the trigger

Connect Gmail, Outlook, or Google Drive to Make. Configure filters so only invoice emails or files trigger the automation.

2

Build the AI extraction module

Add AI-powered parsing that reads invoice PDFs and email text. Map extracted fields (vendor, amount, date, line items) to your spreadsheet.

3

Add approval routing and go live

Route invoices above a threshold to a Slack approval channel. Log approved invoices automatically. Activate and watch it run.

Automate your invoice processing

12 steps. About 2 hours. Stop entering invoices by hand. Let Make and AI handle it.

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What You Walk Away With

Set up the trigger

Build the AI extraction module

Add approval routing and go live

8-12 hours saved per month with fewer data entry errors in your financial tracking

"We process about 80 invoices a month. Used to take our bookkeeper a full day. Now it runs in the background and she reviews a summary."
- Operations director, creative agency

Questions

Yes. The route uses AI modules in Make to parse PDF attachments and extract data like vendor name, invoice number, amount, due date, and line items. It works with both structured PDFs (from accounting software) and scanned documents, though structured PDFs give more consistent results.

Make has modules for QuickBooks, Xero, and FreshBooks. The route focuses on Google Sheets as the primary output, but shows you how to add an accounting software connection as an additional step. You can log invoices in both places simultaneously.

The error handling step routes unparseable invoices to a review queue (Slack message or email notification). You process those manually. In practice, AI handles 85-90% of standard invoices without issues. The route shows you how to improve parsing accuracy over time by adjusting your extraction prompts.