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Automated Accounts Payable & Fraud Detection Workflow
An end-to-end accounts payable workflow that automates invoice extraction, detects fraudulent expenses, and accelerates the monthly financial close process.
6-step workflowUpdated 3/11/2026
Accounts PayableAutomationFraud DetectionOCRFinancial Close
Automated Accounts Payable & Fraud Detection Workflow
1-2 hours for initial setup (runs automatically thereafter)
Intermediate
6 steps
1
Document Ingestion and Data Extraction
Input:
PDF or image files of vendor invoices received via a dedicated AP email inbox.
Action:
Set up a Nanonets OCR model to automatically fetch incoming emails, identify invoice attachments, and extract key line-item data such as vendor name, invoice number, date, tax, and total amount.
Prompt:
Extract standard AP fields: Vendor Name, Invoice Number, Purchase Order Number, Line Items (Description, Quantity, Unit Price, Total), Subtotal, Tax Amount, and Total Amount.
Output:
Structured JSON data containing all essential invoice details.
15 minutes
→ Next: Route the extracted data to your AI coding platform and fraud auditor.
2
Intelligent Workflow Routing
3
AI Invoice Processing & GL Coding
4
Expense & Fraud Auditing
5
Collaboration & Approval Routing
6
Final ERP Sync & Financial Close Prep