What happens to an invoice after you send it? For many businesses, the journey still looks someth...What happens to an invoice after you send it? For many businesses, the journey still looks someth...
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Arun Kumar
• 5h
What happens to an invoice after you send it?
For many businesses, the journey still looks something like this:
Receive the invoice
Read through it
Enter the details manually
Check if everything is correct
Send it for approval
Finally move the data into the next system
And when you’re dealing with hundreds or thousands of invoices, those small steps quickly become a lot of work.
This is where intelligent document processing can change the workflow.
With HIQ Labs’ Extraction IQ, the process can follow a structured flow:
Invoice Intake → AI Extraction → Validation → Review → Approval → Export
The system can receive invoices from sources such as emails, PDFs, images, shared folders and supplier portals.
AI then extracts important information—supplier details, invoice numbers, dates, tax values, totals and more.
But extraction is only one part of the story.
The information is validated against business rules, invoices that need attention can be routed for review, and validated invoices can then move forward for approval and downstream processing.
The goal isn’t simply to “automate invoices.”
It’s to make the entire journey of an invoice more connected, consistent and manageable.
Less manual entry. Fewer repetitive checks. More visibility into the process.
Because good automation doesn’t just remove a task—it improves the workflow around it.
#DocumentAI #IntelligentAutomation #InvoiceAutomation #BusinessProcessAutomation #AI #DigitalTransformation #ProcessAutomation #EnterpriseAI #HIQLabsd models using different
AI AutomationAutomation EngineeringAzureFoundryJenkins
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Nugraha
• 5h
@Arun Kumar The validation and review stages are where this gets practical, especially across PDFs, emails, and supplier portals. How are exceptions surfaced when business rules conflict?
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Arun Kumar
• 5h
They are reviewed with HITL (Human in loop Logic) based on duplicity, policy and other defined rules
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