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Auto-extract & approve invoices with OpenAI, Jotform - fraud detection

Jitesh DugarJitesh Dugar
180 views
2/3/2026
Official Page

Transform accounts payable from a manual bottleneck into an intelligent, automated system that reads invoices, detects fraud, and processes payments automatically—saving 20+ hours per week while preventing costly fraudulent payments.

🎯 What This Workflow Does

Automates the complete invoice-to-payment cycle with advanced AI:

  1. 📧 Check Invoices from Jotform - Monitor Jotform for Invoice Submission
  2. 🤖 AI-Powered OCR - Extracts ALL data from PDFs and images (vendor, amounts, line items, dates, tax)
  3. 🚨 Fraud Detection Engine - Analyzes 15+ fraud patterns: duplicates, anomalies, suspicious vendors, document quality
  4. 🚦 Intelligent Routing - Auto-routes based on AI risk assessment:
    • Critical Fraud (Risk 80-100): Block → Slack alert → CFO investigation
    • Manager Review (>$5K or Medium Risk): Approval workflow with full analysis
    • Auto-Approve (<$5K + Low Risk): Instant → QuickBooks → Vendor notification
  5. 📊 Complete Audit Trail - Every decision logged to Google Sheets with AI reasoning

✨ Key Features

Advanced AI Capabilities

  • Vision-Based OCR: Reads any invoice format—PDF, scanned images, smartphone photos
  • 99% Extraction Accuracy: Vendor details, line items, amounts, dates, tax calculations, payment terms
  • Multi-Dimensional Fraud Detection:
    • Duplicate invoice identification (same number, similar amounts)
    • Amount anomalies (round numbers, threshold gaming, unusually high)
    • Vendor verification (new vendors, mismatched domains, missing tax IDs)
    • Document quality scoring (OCR confidence, missing fields, calculation errors)
    • Timing anomalies (future dates, expired invoices, weekend submissions)
    • Pattern-based detection (frequent small amounts, vague descriptions, no PO references)

Intelligent Processing

  • Risk-Based Scoring: 0-100 risk score with detailed reasoning
  • Vendor Trust Ratings: Build vendor reputation over time
  • Category Classification: Auto-categorizes (software, consulting, office supplies, utilities, etc.)
  • Amount Thresholds: Configurable auto-approve limits
  • Human-in-the-Loop: Critical decisions escalated appropriately
  • Fast-Track Low Risk: Process safe invoices in under 60 seconds

Security & Compliance

  • Fraud Prevention: Catch fraudulent invoices before payment
  • Duplicate Detection: Prevent double payments automatically
  • Complete Audit Trail: Every decision logged with timestamp and reasoning
  • Role-Based Approvals: Route to correct approver based on amount and risk
  • Document Verification: Quality checks on every invoice

💼 Perfect For

  • Finance Teams: Processing 50-500 invoices per week
  • CFOs: Need fraud prevention and spending visibility
  • Controllers: Want automated AP with audit compliance
  • Growing Companies: Scaling without adding AP headcount
  • Multi-Location Businesses: Centralized invoice processing across offices
  • Fraud-Conscious Organizations: Healthcare, legal, financial services, government contractors

💰 ROI & Business Impact

Time Savings

  • 90% reduction in manual data entry time
  • 20-25 hours saved per week on invoice processing
  • Same-day turnaround on all legitimate invoices
  • Zero data entry errors with AI extraction
  • No more lost invoices - complete tracking

Fraud Prevention

  • 100% duplicate detection before payment
  • Catch suspicious patterns automatically
  • Prevent invoice splitting (gaming approval thresholds)
  • Identify fake vendors before payment
  • Average savings: $50K-$200K annually in prevented fraud losses

Process Improvements

  • 24-hour vendor response times (vs 7-10 days manual)
  • 95%+ payment accuracy with AI validation
  • Better cash flow management via due date tracking
  • Vendor satisfaction from transparent, fast processing
  • Audit-ready with complete decision trail

🔧 Required Integrations

Core Services

  • Jotform - Invoice Submissions Create your form for free on Jotform using this link
  • OpenAI API - GPT-4o-mini for OCR & fraud detection (~$0.03/invoice)
  • Google Sheets - Invoice database and analytics (free)
  • Accounting System - QuickBooks, Xero, NetSuite, or Sage (via API)

Optional Add-Ons

  • Slack - Real-time fraud alerts and approval requests
  • Bill.com - Payment processing automation
  • Linear/Asana - Task creation for manual reviews
  • Expensify/Ramp - Expense management integration

🚀 Quick Setup Guide

Step 1: Import Template

  1. Copy JSON from artifact
  2. In n8n: WorkflowsImport from File → Paste JSON
  3. Template imports with all nodes and sticky notes

Step 2: Configure Email Monitoring

  1. Connect Gmail or Outlook account
  2. Update filter: invoices@yourcompany.com (or your AP email)
  3. Test: Send yourself a sample invoice

Step 3: Add OpenAI API

  1. Get API key: https://platform.openai.com/api-keys
  2. Add to both AI nodes (OCR + Fraud Detection)
  3. Cost: ~$0.03 per invoice processed

Step 4: Connect Accounting System

  1. Get API credentials from QuickBooks/Xero/NetSuite
  2. Configure HTTP Request node with your endpoint
  3. Map invoice fields to your GL codes

Step 5: Setup Approval Workflows

  1. Update email addresses (finance-manager@yourcompany.com)
  2. Configure Slack webhook (optional)
  3. Set approval thresholds ($5K default, customize as needed)

Step 6: Create Google Sheet Database

Create spreadsheet with columns:

n8n Workflow: Automated Invoice Extraction, Approval, and Fraud Detection

This n8n workflow automates the process of extracting information from invoices submitted via Jotform, performing fraud detection using OpenAI, seeking approval via Slack or Gmail, and finally recording the invoice details in Google Sheets and QuickBooks Online.

It streamlines invoice processing, reduces manual data entry, and adds a layer of intelligent fraud detection to your financial workflows.

What it does:

  1. Listens for New Invoices: Triggers automatically when a new invoice submission is received through Jotform.
  2. Extracts Invoice Data: Uses an OpenAI Chat Model and a Structured Output Parser to intelligently extract key information from the submitted invoice, such as vendor name, amount, date, and line items.
  3. Performs Fraud Detection: Leverages an AI Agent (powered by OpenAI) to analyze the extracted invoice data for potential fraudulent patterns or anomalies.
  4. Conditional Approval Process:
    • If the AI Agent flags the invoice as potentially fraudulent, it sends an alert to a designated Slack channel for immediate human review.
    • If the AI Agent deems the invoice legitimate, it sends an approval request via Gmail to the relevant approver.
  5. Records Approved Invoices: Upon approval (via either Slack or Gmail), the invoice details are recorded in a Google Sheet for tracking.
  6. Creates Invoice in QuickBooks: Finally, the approved invoice is automatically created in QuickBooks Online, completing the financial entry.

Prerequisites/Requirements:

To use this workflow, you will need the following accounts and API keys:

  • n8n Account: For hosting and running the workflow.
  • Jotform Account: With a form set up to receive invoice submissions.
  • OpenAI API Key: For the AI Agent and Chat Model nodes to perform data extraction and fraud detection.
  • Slack Account: Configured to send messages to a specific channel for fraud alerts.
  • Gmail Account: Configured to send approval emails.
  • Google Sheets Account: With a spreadsheet prepared to store invoice data.
  • QuickBooks Online Account: To create invoices.

Setup/Usage:

  1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials: For each app node (Jotform, OpenAI, Slack, Gmail, Google Sheets, QuickBooks Online), you will need to set up the corresponding credentials in n8n.
  3. Jotform Trigger: Configure the Jotform Trigger node to listen to the specific form you use for invoice submissions.
  4. OpenAI Nodes: Ensure your OpenAI API key is correctly configured in the OpenAI Chat Model and AI Agent nodes.
  5. Structured Output Parser: Review and adjust the schema in the Structured Output Parser to match the expected invoice data fields you want to extract.
  6. Code Node: The Code node likely contains custom logic for data processing or formatting before sending to other services. Review and adjust as needed.
  7. If Node: Configure the If node's conditions based on the output of the AI Agent to correctly route between the Slack (fraud) and Gmail (approval) branches.
  8. Slack Node: Specify the Slack channel where fraud alerts should be posted.
  9. Gmail Node: Configure the recipient email address(es) for invoice approval requests.
  10. Google Sheets Node: Specify the Google Sheet ID and the range where invoice data should be appended.
  11. QuickBooks Online Node: Configure the invoice creation details, mapping the extracted data to QuickBooks fields.
  12. Activate the Workflow: Once all credentials and configurations are set, activate the workflow.

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