OpenText Extended ECM Platform - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Extended ECM Platform and Google Document AI

OpenText Extended ECM Platform provides governed enterprise content management, workflow integration, and business application connectivity. Google Document AI specializes in intelligent document processing, extracting structured data from unstructured documents such as invoices, contracts, forms, claims, and correspondence. Together, they enable automated capture, classification, extraction, and controlled content lifecycle management across business processes.

1. Automated invoice capture and accounts payable processing

Data flow: Google Document AI to OpenText Extended ECM Platform

Invoices received by email, scan, or supplier portal are sent to Google Document AI for classification and field extraction, including vendor name, invoice number, PO number, tax amounts, and line items. The extracted data is then stored in OpenText Extended ECM Platform and routed into AP workflows for validation, approval, and posting to ERP systems.

• Reduces manual data entry and invoice coding errors
• Speeds up invoice approval cycles
• Improves auditability with linked source documents and extracted metadata

2. Contract intake and clause extraction for legal review

Data flow: Google Document AI to OpenText Extended ECM Platform

Incoming contracts, amendments, and NDAs are processed by Google Document AI to identify document type, extract key terms such as effective dates, renewal periods, termination clauses, and party names, and classify the document for review. OpenText Extended ECM Platform stores the contract record, applies retention and access controls, and routes the document to legal, procurement, or sales teams for approval.

• Accelerates contract triage and review preparation
• Improves visibility into critical contract terms
• Supports consistent governance and retention policies

3. Claims and case file document processing

Data flow: Google Document AI to OpenText Extended ECM Platform

In insurance, healthcare, or public sector case management, claim forms, supporting evidence, and correspondence are ingested into Google Document AI for extraction of claimant details, dates, reference numbers, and supporting attributes. OpenText Extended ECM Platform then organizes the documents into the case file, links them to the relevant matter or claim, and supports downstream review and decision workflows.

• Improves case file completeness and consistency
• Shortens intake and adjudication time
• Enables centralized governance across high-volume case documents

4. Supplier onboarding and compliance document validation

Data flow: Google Document AI to OpenText Extended ECM Platform

Supplier onboarding packages containing tax forms, certificates of insurance, banking letters, and compliance attestations are processed through Google Document AI to extract registration and compliance data. OpenText Extended ECM Platform stores the onboarding record, compares extracted information against required fields, and triggers exceptions for missing or expired documents before supplier activation.

• Reduces onboarding delays and manual verification effort
• Improves compliance with procurement and risk requirements
• Creates a governed supplier record with full document traceability

5. Mailroom and correspondence digitization for enterprise records

Data flow: Google Document AI to OpenText Extended ECM Platform

Physical mail, scanned correspondence, and inbound forms are digitized and sent to Google Document AI for classification and extraction of sender, subject, reference numbers, and key content. OpenText Extended ECM Platform then files the documents into the correct business context, such as HR, finance, customer service, or operations, and applies records management rules.

• Eliminates manual sorting and indexing of inbound mail
• Improves response times for time-sensitive correspondence
• Ensures documents are retained and governed according to policy

6. Customer onboarding document verification

Data flow: Google Document AI to OpenText Extended ECM Platform

During customer onboarding, identity documents, application forms, proof of address, and supporting compliance documents are analyzed by Google Document AI to extract customer details and detect document types. OpenText Extended ECM Platform stores the onboarding package, links it to the customer record, and routes incomplete or inconsistent submissions to operations teams for follow-up.

• Speeds up onboarding while reducing rework
• Improves data quality for downstream CRM and service systems
• Supports controlled access to sensitive customer documents

7. Bi-directional exception handling and human review workflow

Data flow: Bi-directional between OpenText Extended ECM Platform and Google Document AI

When Google Document AI returns low-confidence extraction results or detects ambiguous fields, OpenText Extended ECM Platform can route the document to a human reviewer for correction. Once validated, the corrected metadata can be sent back to improve downstream processing and ensure the final record is stored with approved values.

• Improves accuracy for complex or poor-quality documents
• Creates a controlled human-in-the-loop review process
• Supports continuous improvement of document processing outcomes

8. Regulatory document indexing and retention management

Data flow: Google Document AI to OpenText Extended ECM Platform

Regulatory filings, audit evidence, policy documents, and compliance reports are processed by Google Document AI to extract document type, dates, entities, and reference identifiers. OpenText Extended ECM Platform then indexes the content, applies retention schedules, and ensures the documents are available for audit, legal hold, and compliance reporting.

• Improves searchability and retrieval of regulatory records
• Reduces compliance risk through consistent retention controls
• Supports audit readiness across distributed business units