OpenText Active Documents Trading Grid - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Active Documents Trading Grid and Google Document AI

OpenText Active Documents Trading Grid is well suited for secure B2B document exchange, partner collaboration, and audit-ready transaction delivery. Google Document AI adds intelligent document understanding, extracting structured data from invoices, purchase orders, shipping documents, and other business forms. Together, they can automate document-heavy supply chain workflows, reduce manual processing, and improve exception handling across trading partner networks.

1. Automated invoice intake and validation

Invoices received through OpenText Active Documents Trading Grid can be routed to Google Document AI for extraction of invoice number, supplier details, line items, taxes, and totals. The extracted data can then be validated against purchase orders and receiving records before posting to ERP or accounts payable systems.

• Direction: OpenText Active Documents Trading Grid to Google Document AI
• Business value: Faster invoice processing, fewer manual keying errors, improved three-way match rates

2. Purchase order data capture and order confirmation processing

Purchase orders exchanged with suppliers through OpenText Active Documents Trading Grid can be analyzed by Google Document AI to extract order details and compare them with internal order management records. The resulting structured data can support automated order acknowledgment, discrepancy detection, and downstream fulfillment workflows.

• Direction: OpenText Active Documents Trading Grid to Google Document AI
• Business value: Quicker order turnaround, better order accuracy, reduced supplier follow-up effort

3. Shipping notice and proof of delivery extraction

Advance shipping notices, bills of lading, and proof of delivery documents delivered through OpenText Active Documents Trading Grid can be processed by Google Document AI to capture shipment identifiers, carrier details, quantities shipped, delivery dates, and exceptions. This information can feed warehouse, transportation, and customer service systems for shipment tracking and reconciliation.

• Direction: OpenText Active Documents Trading Grid to Google Document AI
• Business value: Improved shipment visibility, faster receipt reconciliation, fewer delivery disputes

4. Exception handling for non standard partner documents

When trading partners send documents in varying layouts or formats through OpenText Active Documents Trading Grid, Google Document AI can normalize the content into a consistent data model. Exceptions such as missing fields, mismatched totals, or unreadable sections can be flagged for human review before the transaction is completed.

• Direction: OpenText Active Documents Trading Grid to Google Document AI, with human review loop
• Business value: Lower exception resolution time, improved data consistency, better partner onboarding support

5. Contract and compliance document review

Supplier agreements, compliance certificates, and regulatory documents exchanged through OpenText Active Documents Trading Grid can be analyzed by Google Document AI to extract key clauses, expiration dates, certification numbers, and required attestations. This enables automated monitoring for missing or expired documents and supports compliance teams with searchable records.

• Direction: OpenText Active Documents Trading Grid to Google Document AI
• Business value: Stronger compliance oversight, reduced manual review effort, better audit readiness

6. Automated document indexing and searchable archive creation

Documents delivered through OpenText Active Documents Trading Grid can be enriched by Google Document AI with metadata such as document type, trading partner, transaction date, and reference numbers. That metadata can be written back to OpenText repositories or downstream content systems to improve search, retrieval, and lifecycle management.

• Direction: OpenText Active Documents Trading Grid to Google Document AI, then back to OpenText Active Documents Trading Grid or connected content repositories
• Business value: Faster document retrieval, improved records management, better operational transparency

7. Partner document onboarding and classification

During trading partner onboarding, sample documents such as invoices, packing slips, and remittance advice can be sent through OpenText Active Documents Trading Grid and classified by Google Document AI. The extracted structure can help determine document templates, map fields to internal systems, and accelerate integration setup for new suppliers or customers.

• Direction: OpenText Active Documents Trading Grid to Google Document AI
• Business value: Faster partner onboarding, reduced integration configuration effort, improved standardization

8. Closed loop transaction processing with ERP and workflow systems

Documents exchanged through OpenText Active Documents Trading Grid can be interpreted by Google Document AI and then used to trigger approvals, exceptions, or postings in ERP, procurement, logistics, or case management systems. Status updates or corrected documents can be sent back through OpenText Active Documents Trading Grid to trading partners, creating a controlled end to end process.

• Direction: Bi directional, with OpenText Active Documents Trading Grid handling partner exchange and Google Document AI handling document understanding
• Business value: End to end automation, faster cycle times, better collaboration across procurement, finance, and operations