OpenText Developer Admin - IM Developer Administration - Azure AI Document Intelligence Integration and Automation

Common Integration Use Cases Between OpenText Developer Admin - IM Developer Administration and Azure AI Document Intelligence

1. Automated invoice and PO validation for integration projects

Data flow: Azure AI Document Intelligence ? OpenText Developer Admin - IM Developer Administration

Finance or procurement teams can use Azure AI Document Intelligence to extract invoice fields, purchase order numbers, vendor details, and totals from incoming documents. Those extracted values can then be passed into OpenText integration workflows managed in Developer Admin to validate against ERP or procurement systems, trigger exception handling, and route mismatches to the right support team.

Business value: Reduces manual invoice review, speeds up approvals, and improves accuracy in three-way matching workflows.

2. Controlled deployment of document extraction APIs and credentials

Data flow: OpenText Developer Admin - IM Developer Administration ? Azure AI Document Intelligence

Integration teams can use OpenText Developer Admin to manage API credentials, environment-specific configurations, and integration artifacts for Azure AI Document Intelligence deployments. This is especially useful when separating development, test, and production environments for document processing solutions.

Business value: Improves governance, reduces configuration errors, and supports secure promotion of document automation solutions across environments.

3. Claims document intake and downstream case creation

Data flow: Azure AI Document Intelligence ? OpenText Developer Admin - IM Developer Administration

Insurance or shared services teams can extract data from claim forms, supporting documents, and correspondence using Azure AI Document Intelligence. OpenText integration workflows can then create or update cases in claims or workflow systems, attach extracted metadata, and route the case based on document type, claim amount, or urgency.

Business value: Shortens claim intake time, improves routing accuracy, and enables faster case initiation.

4. Contract metadata extraction for integration governance and workflow routing

Data flow: Azure AI Document Intelligence ? OpenText Developer Admin - IM Developer Administration

Legal or procurement teams can process contracts, amendments, and supplier agreements with Azure AI Document Intelligence to extract key metadata such as effective date, renewal date, counterparty name, and contract value. OpenText-managed integrations can then use that metadata to trigger approval workflows, retention actions, or alerts for upcoming renewals.

Business value: Improves contract visibility, reduces missed renewals, and supports compliance-driven workflow automation.

5. Exception handling for low-confidence document extractions

Data flow: Azure AI Document Intelligence ? OpenText Developer Admin - IM Developer Administration

When Azure AI Document Intelligence returns low-confidence fields or incomplete extraction results, OpenText integration workflows can automatically create exception tasks for review. After users correct the data, the updated values can be sent back to the document processing pipeline to improve downstream processing and maintain data quality.

Business value: Balances automation with human review, reduces processing errors, and improves operational control over sensitive documents.

6. Supplier onboarding document processing and system registration

Data flow: Azure AI Document Intelligence ? OpenText Developer Admin - IM Developer Administration

Procurement teams can use Azure AI Document Intelligence to extract data from supplier onboarding forms, tax documents, banking details, and compliance certificates. OpenText integration workflows can then register the supplier in ERP, procurement, and master data systems, while also validating required fields and triggering missing-document follow-up.

Business value: Accelerates supplier onboarding, reduces manual data entry, and improves compliance tracking.

7. Operational monitoring and audit trail for document automation services

Data flow: OpenText Developer Admin - IM Developer Administration ? Azure AI Document Intelligence

OpenText Developer Admin can manage integration artifacts, API access, and environment controls for document automation services, while Azure AI Document Intelligence provides the extraction layer. Together, they can support audit logging, traceability of document processing events, and controlled access to document-related APIs across teams.

Business value: Strengthens auditability, supports regulated workflows, and gives integration teams better visibility into document processing operations.

8. Document-driven analytics feed for enterprise reporting

Data flow: Azure AI Document Intelligence ? OpenText Developer Admin - IM Developer Administration

Business units can extract structured data from high-volume documents such as invoices, shipping forms, service reports, or compliance records using Azure AI Document Intelligence. OpenText integration workflows can then publish the cleaned data to analytics platforms, data warehouses, or operational dashboards for reporting and trend analysis.

Business value: Improves reporting timeliness, reduces dependence on manual data preparation, and enables better decision-making from document-based information.