OpenText Extended ECM - Records Management - Azure Integration and Automation

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

OpenText Extended ECM - Records Management and Azure AI Document Intelligence complement each other well in document-intensive environments. Azure AI Document Intelligence automates data extraction from incoming documents, while OpenText Extended ECM - Records Management governs the formal retention, compliance, and disposition of the resulting records. Together, they help organizations reduce manual processing, improve data quality, and ensure that business documents are captured and managed according to policy.

1. Automated records declaration from extracted document data

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

Incoming documents such as contracts, claims, permits, or patient forms are processed by Azure AI Document Intelligence to extract key metadata like document type, date, customer name, case number, or contract value. That metadata is then used to automatically classify and declare the document as a formal record in OpenText Extended ECM - Records Management.

• Reduces manual indexing and records filing effort
• Improves consistency in record classification
• Speeds up compliance-ready capture of business documents

2. Invoice and payment record management

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

Accounts payable teams can use Azure AI Document Intelligence to extract invoice number, vendor, amount, tax details, and purchase order references from supplier invoices. Once validated, the invoice and its metadata are stored in OpenText Extended ECM - Records Management as an official financial record with the correct retention schedule.

• Supports audit readiness for finance operations
• Reduces invoice handling delays and manual data entry
• Ensures retention policies are applied to financial records

3. Claims or case file assembly for regulated workflows

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

In insurance, healthcare, or public sector case management, documents such as application forms, supporting evidence, correspondence, and signed declarations can be extracted and indexed automatically. OpenText Extended ECM - Records Management then assembles the documents into a governed case file with retention rules based on case type or jurisdiction.

• Improves case file completeness and traceability
• Helps teams locate supporting evidence faster
• Supports legal and regulatory retention requirements

4. Contract intake and retention classification

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

Legal and procurement teams can process incoming contracts through Azure AI Document Intelligence to extract parties, effective dates, renewal terms, and obligations. The extracted data is used to route the contract into OpenText Extended ECM - Records Management with the correct record category, retention period, and disposition trigger.

• Improves contract governance and lifecycle control
• Reduces risk of missed renewals or expired obligations
• Creates a reliable audit trail for contract records

5. Exception handling and human review before record declaration

Data flow: Azure AI Document Intelligence to OpenText Extended ECM - Records Management, with bi-directional workflow feedback

When Azure AI Document Intelligence cannot confidently extract key fields or detects ambiguous document types, the document is routed to a records or operations team for review. After correction, the validated metadata is sent to OpenText Extended ECM - Records Management for formal declaration and retention assignment.

• Improves extraction accuracy for complex documents
• Prevents incorrect record classification
• Creates a controlled exception workflow for compliance-sensitive content

6. Retention-driven document retrieval for downstream analytics and audits

Data flow: OpenText Extended ECM - Records Management to Azure AI Document Intelligence, or bi-directional with analytics systems

OpenText Extended ECM - Records Management can provide governed access to archived records that need to be reprocessed for audit, reporting, or analytics purposes. Azure AI Document Intelligence can extract structured data from historical records to support trend analysis, audit sampling, or regulatory reporting.

• Enables reuse of archived records without manual rekeying
• Supports audit and compliance reporting at scale
• Improves visibility into historical document content

7. End-to-end mailroom and intake automation

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

Central mailroom, shared inbox, or scanning operations can use Azure AI Document Intelligence to process incoming paper and digital documents such as notices, forms, and correspondence. Extracted metadata is used to route documents into the correct business folder or record series in OpenText Extended ECM - Records Management, reducing intake delays and manual sorting.

• Accelerates document intake across departments
• Improves routing accuracy for high-volume correspondence
• Supports centralized records governance from the point of entry

Together, OpenText Extended ECM - Records Management and Azure AI Document Intelligence create a strong foundation for compliant document automation. Azure AI Document Intelligence handles the extraction and classification work, while OpenText Extended ECM - Records Management ensures the resulting content is retained, governed, and disposed of according to policy.