OpenText Directory Services - Azure AI Document Intelligence Integration and Automation

Common Integration Use Cases Between OpenText Directory Services and Azure AI Document Intelligence

OpenText Directory Services provides centralized identity, group, and access management across OpenText environments, while Azure AI Document Intelligence automates extraction of structured data from invoices, forms, and unstructured documents. Together, they can connect document processing with identity-driven workflow, approval routing, and secure access control.

1. Role-Based Routing of Extracted Documents for Review and Approval

When Azure AI Document Intelligence extracts data from invoices, contracts, or onboarding forms, the document can be automatically routed to the correct reviewer based on the user and group information stored in OpenText Directory Services.

• Data flow: Azure AI Document Intelligence to OpenText Directory Services
• Business value: Faster approvals, fewer manual handoffs, and reduced processing delays
• Example: An invoice above a threshold is routed to the finance approver group, while HR forms go to the HR operations team

2. Secure Access Control for Document Processing Workflows

OpenText Directory Services can provide identity and group-based permissions for users who access extracted document data, ensuring that only authorized teams can view or act on sensitive records processed by Azure AI Document Intelligence.

• Data flow: OpenText Directory Services to Azure AI Document Intelligence
• Business value: Stronger governance, reduced data exposure, and better compliance
• Example: Payroll documents extracted by Azure AI Document Intelligence are visible only to payroll administrators and designated auditors

3. Automated User Provisioning for Document Operations Teams

As new employees join document-heavy departments such as accounts payable, claims, or records management, OpenText Directory Services can provision access to the document processing environment used with Azure AI Document Intelligence.

• Data flow: OpenText Directory Services to Azure AI Document Intelligence
• Business value: Faster onboarding, less IT administration, and consistent access setup
• Example: A new AP analyst is automatically assigned access to invoice extraction queues and related review dashboards

4. Identity-Based Audit Trails for Document Review and Exception Handling

Extracted documents often require human validation when confidence scores are low or fields are incomplete. OpenText Directory Services can associate each reviewer with a verified identity and group, creating a reliable audit trail for who reviewed, corrected, or approved the extracted data.

• Data flow: Bi-directional
• Business value: Better traceability, audit readiness, and accountability
• Example: A claims processor corrects extracted policy details, and the action is logged against their directory identity for compliance reporting

5. Department-Specific Extraction Workflows Based on Directory Groups

Organizations can use OpenText Directory Services group membership to trigger different Azure AI Document Intelligence processing rules for different business units. This allows the same platform to support multiple document types and operating models.

• Data flow: OpenText Directory Services to Azure AI Document Intelligence
• Business value: More flexible automation and better alignment to departmental needs
• Example: The procurement group processes supplier invoices with one extraction template, while the legal group processes contracts with another

6. Controlled Release of Extracted Data to Downstream Systems

After Azure AI Document Intelligence extracts key fields from documents, OpenText Directory Services can determine which users or service accounts are allowed to push that data into ERP, ECM, or case management systems.

• Data flow: Azure AI Document Intelligence to OpenText Directory Services
• Business value: Reduced risk of unauthorized updates and cleaner system governance
• Example: Only members of the finance integration group can publish validated invoice data into the accounts payable system

7. Centralized Access for Shared Document Operations Across Regions

For global organizations, OpenText Directory Services can manage regional access policies for teams using Azure AI Document Intelligence to process localized forms, tax documents, or customer submissions.

• Data flow: OpenText Directory Services to Azure AI Document Intelligence
• Business value: Consistent global control with local operational flexibility
• Example: European teams can access GDPR-sensitive documents, while North American teams are restricted to their own regional queues

These integration patterns help organizations combine secure identity management with intelligent document automation, improving processing speed, governance, and operational control across document-intensive workflows.