OpenText Extended ECM - Content Server - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Extended ECM - Content Server and Google Document AI

1. Automated invoice capture and accounts payable processing

Google Document AI extracts key fields from supplier invoices, such as vendor name, invoice number, PO number, tax, and line items. The structured data is then sent to OpenText Extended ECM - Content Server, where the invoice is filed into the correct vendor or finance workspace, linked to the purchase order, and routed through approval workflows. This reduces manual data entry, speeds up invoice cycle times, and improves auditability.

• Direction: Google Document AI to OpenText Extended ECM - Content Server
• Business value: Faster invoice processing, fewer errors, stronger financial controls

2. Intelligent intake of contracts and legal documents

Incoming contracts, amendments, and legal correspondence are processed by Google Document AI to identify document type, parties, dates, clauses, and key obligations. OpenText Extended ECM - Content Server stores the documents with the extracted metadata, applies retention rules, and routes them to legal or procurement teams for review and approval. This helps legal teams manage high volumes of documents more consistently and reduces the risk of missed obligations.

• Direction: Google Document AI to OpenText Extended ECM - Content Server
• Business value: Better contract visibility, faster review cycles, improved compliance

3. Claims and case file digitization for insurance or public sector operations

Paper or scanned claim forms, supporting evidence, and correspondence are classified and extracted by Google Document AI. The resulting metadata and content are stored in OpenText Extended ECM - Content Server as a complete case file, enabling claims handlers or case workers to access all related documents in one governed repository. This supports faster case resolution and more consistent handling across teams.

• Direction: Google Document AI to OpenText Extended ECM - Content Server
• Business value: Reduced manual indexing, improved case visibility, better service response times

4. Onboarding document processing for HR and employee records

Google Document AI extracts information from onboarding forms, identity documents, tax forms, and signed policy acknowledgements. OpenText Extended ECM - Content Server then stores the documents in the employee record, applies access controls, and supports HR workflows for verification and approval. This creates a secure and searchable employee file while reducing administrative effort during hiring and onboarding.

• Direction: Google Document AI to OpenText Extended ECM - Content Server
• Business value: Faster onboarding, improved record accuracy, stronger privacy and governance

5. Supplier and customer correspondence classification

Emails, letters, and scanned correspondence are analyzed by Google Document AI to determine document type, sender, topic, and urgency. OpenText Extended ECM - Content Server uses this metadata to route content to the right business unit, such as procurement, customer service, or operations, and to maintain a governed record of communication history. This improves responsiveness and makes it easier to trace decisions and commitments.

• Direction: Google Document AI to OpenText Extended ECM - Content Server
• Business value: Faster routing, better traceability, reduced inbox dependency

6. Records classification and retention enrichment

OpenText Extended ECM - Content Server can send newly captured documents to Google Document AI for classification and extraction of business attributes such as document type, date, jurisdiction, or subject matter. The extracted data is returned to OpenText to enrich metadata, apply the correct retention schedule, and support records management policies. This is especially useful for organizations with large volumes of regulated content.

• Direction: OpenText Extended ECM - Content Server to Google Document AI, then back to OpenText Extended ECM - Content Server
• Business value: More accurate classification, stronger compliance, lower records management effort

7. Searchable archive for scanned legacy content

Legacy paper archives and scanned files stored in OpenText Extended ECM - Content Server can be processed by Google Document AI to extract text and structured data from previously unsearchable documents. The enriched metadata is written back to OpenText, making historical records easier to search, analyze, and reuse across departments. This is valuable for organizations modernizing old archives without replacing their content repository.

• Direction: OpenText Extended ECM - Content Server to Google Document AI, then back to OpenText Extended ECM - Content Server
• Business value: Improved access to legacy content, better searchability, reduced archive handling costs

8. Exception handling for high-volume document operations

For documents that Google Document AI cannot confidently classify or extract, OpenText Extended ECM - Content Server can route them to a human review queue. Once corrected, the validated metadata and document classification are stored back in OpenText and can be used to improve downstream workflows. This creates a practical human-in-the-loop process for complex or low-quality documents.

• Direction: Bi-directional
• Business value: Higher processing accuracy, reduced operational risk, better handling of exceptions