Automated Vendor Invoice Processing Workflow
Ready-made WorqHat template
Launch "Automated Vendor Invoice Processing Workflow" as a workflow
Duplicate this recipe inside WorqHat to get the outlined triggers, nodes, and delivery logic preconfigured. Update credentials, recipients, and copy, then ship it to production.
- • All workflow nodes referenced in this guide
- • Structured JSON outputs for dashboards and mailers
- • Inline documentation for faster handoffs
Get started checklist
- 1. Duplicate the workflow template.
- 2. Connect your datasource and credentials.
- 3. Customize content and recipients.
Automated Vendor Invoice Processing Workflow
Finance teams routinely lose hours each week manually reading invoice PDFs and typing totals into spreadsheets or ERPs.
This workflow automates that process completely:
- Reads the attached PDF
- Extracts text via OCR
- Uses AI to pull key fields
- Saves the invoice in a structured database
- Alerts the finance team instantly
Once set up, your AP pipeline becomes fully hands-free.
Previous State
Vendor emails → PDF attached → manual reading → data entry → Slack ping someone → update tracker → repeat.
Issues:
- Time-consuming
- Error-prone
- No audit trail
- Slow approvals
Target State
A deterministic, transparent, automated pipeline:
- Invoices arrive
- OCR reads PDF
- AI extracts Invoice No, Vendor, Amount, Due Date
- Data enters DB with "Pending Approval"
- Finance gets a notification instantly
Consistent, fast, and reliable.
Workflow Breakdown
1. Email Trigger
Purpose: Start whenever a vendor sends an invoice email.
Captures:
- Sender
- Subject
- Body
- PDF attachment
This becomes the entry point for invoice processing.
2. Text Extraction (OCR)
Purpose: Convert the PDF invoice into raw readable text.
Inputs: PDF file from the email trigger
Outputs: Raw text block containing invoice details
This prepares the data for AI interpretation.
3. Text Generation (AI Parsing)
Purpose: Convert messy extracted text into clean, structured JSON.
Extracted fields:
invoiceNumbervendorNametotalAmountdueDate
The AI handles inconsistencies across vendor templates and formats.
4. Add New Data (Database Entry)
Purpose: Store structured invoice data in the database.
Sample row added:
| invoiceNumber | vendorName | totalAmount | dueDate | status |
|---|---|---|---|---|
| INV-20391 | Acme Corp | 1,250.00 | 2025-11-14 | Pending Approval |
This becomes your single source of truth for all invoices.
5. Send Discord/Slack Message
Purpose: Notify the finance team instantly.
Message Format:
🧾 New Invoice Received
Vendor: {{vendorName}}
Amount: ${{totalAmount}}
Status: Pending Approval
Ensures finance never misses an incoming invoice.
6. Return State
Final output indicating successful processing.
{
"status": "success",
"message": "Invoice processed and stored successfully"
}Outcomes
- Hours saved weekly on manual AP work
- Clean, structured invoice records
- Instant notifications for approval
- Better compliance and audit trail
- Zero manual data entry
Recommended Extensions
- Auto-approve invoices below a certain amount
- Add a "Duplicate Invoice" check
- Sync with Tally / Zoho Books / QuickBooks
- Add a reminder workflow ("Invoice due in 3 days")
Next Steps
Use this pattern to automate any document processing pipeline:
- Purchase order processing
- Receipt extraction and categorization
- Contract parsing and storage
- Expense report automation
Build it once → eliminate manual data entry forever.
👉 Install this template in WorqHat and streamline your accounts payable operations.
