The beta focuses on operational document workflows including sales orders, purchase orders, transport orders, shipping documents, invoices, and similar attachments received by email.
Feature: AI Document Processing (Beta)
Turn inbox attachments into structured data
without manual copy-paste.
virtualworkforce.ai captures attachments from multiple inboxes, extracts key information from operational documents, and prepares structured data for ERP, TMS, and workflow systems. We are currently looking for beta users.
Coming soon · Beta users wanted · Join the waitlist
Teams preparing for AI document processing with virtualworkforce.ai:
Capabilities
AI-powered document processing for operational workflows. Instead of manually copying information from attachments into systems, your AI Agent extracts, structures, and prepares data from business documents received across one or multiple inboxes.
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Works across document types
Extract data from sales orders, purchase orders, transport orders, shipping documents, invoices, and other structured business documents.
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Monitors multiple inboxes
Capture attachments across shared inboxes and team mailboxes so documents are processed from one central workflow.
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Structured field extraction
Pull key fields such as order numbers, invoice details, shipment references, dates, quantities, addresses, and customer data.
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Validation before processing
Flag missing values, inconsistent fields, or low-confidence extractions before information is pushed into downstream systems.
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Ready for ERP and workflow systems
Prepare structured data for ERP, TMS, finance systems, and operational workflows without manual retyping.
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Built into the inbox agent
Document processing is integrated into the same AI inbox workflow that already reads emails, attachments, and business context.
-80%
Less manual copy-paste
Reduce repetitive manual entry from orders, invoices, and shipping documents into ERP, TMS, and finance systems.
+60%
Faster document processing
Operational teams can process incoming documents much faster once extraction and structuring are automated.
-50%
Fewer processing errors
Validation and structured extraction help reduce mistakes caused by retyping, missing fields, or inconsistent formatting.
Workflow
How AI document processing works
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📥 Step 1 – Monitor inboxes
The AI Agent watches selected inboxes and identifies emails containing operational documents and attachments.
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📄 Step 2 – Classify document type
Attachments are classified as sales orders, purchase orders, transport orders, shipping documents, invoices, or other configured document types.
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🧾 Step 3 – Extract structured fields
The AI extracts required fields, validates the information, and prepares structured output for review.
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🔗 Step 4 – Send to operational systems
Once validated, the structured data can be used for ERP entry, TMS updates, finance processing, or other downstream workflows.
Why this matters for document-heavy teams
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Manual data entry from orders, invoices, and shipping documents is one of the most repetitive tasks in operational teams. The opportunity is not only time savings, but also fewer errors and faster processing across the workflow.
Operational workflow perspective
Built for logistics, operations, finance, and customer service teams
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The real value comes when document processing is integrated into the inbox workflow itself. Documents arrive by email, are classified automatically, and the required fields are prepared for validation instead of being copied manually into another system.
Inbox-first automation
Designed for real operational inboxes
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Most companies do not struggle with one document type, they struggle with many. Sales orders, purchase orders, transport orders, invoices, and shipping documents all arrive in slightly different formats. That is exactly why AI document processing matters.
Document diversity challenge
Built for multi-document environments
Built in compliance with
ISO
9001
ISO
27001
🇪🇺
EU AI Act
GDPR
Compliant
AI Document Processing – Frequently Asked Questions
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Yes. The feature is integrated into the inbox agent and can monitor multiple personal or shared inboxes for incoming documents and attachments.
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Yes. Extracted fields can be reviewed and corrected before they are pushed into ERP, TMS, finance systems, or other operational workflows.
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Yes. The goal of AI document processing is to prepare structured output that can be used in ERP, TMS, finance systems, and other business workflows.
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Not yet. AI Document Processing is currently in beta preparation and we are looking for early users who want to test and shape the feature.
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You can apply for early access via our beta signup form. We are especially interested in teams processing high volumes of document attachments across operational inboxes.
Want early access to AI Document Processing?
Join the beta and help shape AI-powered extraction for sales orders, purchase orders, transport orders, shipping documents, invoices, and other operational documents.