OpenText Extended ECM - Records Management - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Extended ECM - Records Management and Google Document AI

OpenText Extended ECM - Records Management provides governed records declaration, retention, and disposition within enterprise content and business processes. Google Document AI specializes in extracting structured data from scanned documents, forms, invoices, correspondence, and other unstructured content using AI-based classification and OCR. Together, they can automate document intake, improve compliance, and reduce manual records handling across regulated workflows.

1. Automated Records Declaration from Incoming Scanned Documents

Data flow: Google Document AI to OpenText Extended ECM - Records Management

Use Google Document AI to classify and extract key metadata from incoming paper documents, such as contracts, permits, patient forms, claims, or regulatory correspondence. The extracted metadata can then be used to automatically declare the document as a formal record in OpenText Extended ECM, apply the correct record class, and assign the appropriate retention schedule.

• Reduces manual indexing and records filing effort
• Improves consistency in record classification
• Speeds up compliance handling for high-volume intake

2. Intelligent Capture for Regulatory and Legal Correspondence

Data flow: Google Document AI to OpenText Extended ECM - Records Management

Organizations often receive large volumes of letters, notices, subpoenas, audit requests, and regulatory filings in mixed formats. Google Document AI can extract sender details, dates, reference numbers, and document type, then route the content into OpenText Extended ECM for formal record declaration and controlled retention.

• Supports legal hold and audit readiness
• Creates a defensible record trail for external correspondence
• Improves turnaround time for compliance teams

3. Invoice and Financial Document Archiving with Retention Controls

Data flow: Google Document AI to OpenText Extended ECM - Records Management

Finance teams can use Google Document AI to extract invoice numbers, vendor names, amounts, tax details, and payment terms from invoices and supporting documents. Once validated, the documents and metadata can be transferred to OpenText Extended ECM, where they are stored as records with finance-specific retention and disposition rules.

• Reduces AP processing errors
• Ensures invoices are retained according to policy and regulation
• Supports audit and tax review requirements

4. Claims, Case File, and Patient Document Assembly

Data flow: Google Document AI to OpenText Extended ECM - Records Management

In healthcare, insurance, and public sector case management, Google Document AI can extract data from claim forms, medical reports, supporting evidence, and identity documents. The extracted metadata can be used to assemble complete case files in OpenText Extended ECM and declare them as records with the correct lifecycle controls.

• Improves completeness of case files
• Speeds up claims and case review workflows
• Supports retention by case type or regulatory category

5. Contract Intake and Metadata Enrichment for Records Governance

Data flow: Google Document AI to OpenText Extended ECM - Records Management

Legal and procurement teams can use Google Document AI to identify contract parties, effective dates, renewal terms, jurisdiction, and signature blocks from executed agreements. That metadata can then be written into OpenText Extended ECM to support contract records classification, retention scheduling, and downstream search and reporting.

• Improves contract discoverability
• Enables policy-based retention by contract type
• Reduces risk of missed renewals and incomplete records

6. Legacy Paper Records Digitization and Migration

Data flow: Google Document AI to OpenText Extended ECM - Records Management

When organizations digitize legacy archives, Google Document AI can process scanned paper records at scale, extract metadata, and identify document types before migration into OpenText Extended ECM. This allows records managers to preserve historical content while applying modern retention, disposition, and legal hold controls.

• Accelerates archive modernization projects
• Reduces manual rekeying during migration
• Improves accuracy of historical record classification

7. Exception Handling and Records Review Workflow

Data flow: Bi-directional

Google Document AI can flag low-confidence extractions, missing fields, or ambiguous document types for human review. Records staff can validate the document classification in OpenText Extended ECM, update metadata, and send corrections back into the capture workflow to improve future processing accuracy.

• Creates a controlled review process for exceptions
• Improves data quality over time
• Balances automation with records governance

8. Compliance Reporting and Audit Preparation

Data flow: OpenText Extended ECM - Records Management to Google Document AI, and Google Document AI to OpenText Extended ECM - Records Management

OpenText Extended ECM can provide the authoritative record repository and lifecycle status, while Google Document AI can extract data from supporting evidence such as audit packets, certifications, and attestations. Together, they help compliance teams assemble complete audit packages, verify retention compliance, and respond faster to regulators or internal auditors.

• Speeds up audit evidence collection
• Improves traceability of supporting documents
• Strengthens compliance reporting across departments