OpenText Workflow Service - Azure AI Document Intelligence Integration and Automation

Common Integration Use Cases Between OpenText Workflow Service and Azure AI Document Intelligence

1. Invoice intake and approval routing

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

Invoices received by email, scan, or portal are processed by Azure AI Document Intelligence to extract vendor name, invoice number, line items, tax, and totals. OpenText Workflow Service then routes the invoice to the correct approver based on amount, cost center, or supplier rules. This reduces manual data entry, speeds up approvals, and improves invoice processing accuracy.

2. Contract and agreement review workflow

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

When contracts, amendments, or statements of work are uploaded, Azure AI Document Intelligence extracts key fields such as parties, effective dates, renewal terms, and signature status. OpenText Workflow Service uses the extracted data to trigger legal review, compliance checks, and approval tasks. This helps legal and procurement teams manage contract cycles more consistently and with less manual review effort.

3. Claims or case intake from supporting documents

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

In insurance, healthcare, or public sector environments, claim packets often include forms, receipts, identity documents, and supporting evidence. Azure AI Document Intelligence extracts the relevant data and OpenText Workflow Service creates or updates the case, assigns it to the right team, and initiates validation steps. This improves turnaround time and ensures cases are handled with complete and structured information.

4. Employee onboarding document processing

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

New hire documents such as tax forms, identification, direct deposit forms, and policy acknowledgements are captured and classified by Azure AI Document Intelligence. OpenText Workflow Service then orchestrates onboarding tasks across HR, IT, payroll, and facilities teams. This creates a smoother onboarding experience and reduces delays caused by missing or incomplete paperwork.

5. Accounts payable exception handling

Flow: Bi-directional

Azure AI Document Intelligence extracts invoice data and OpenText Workflow Service compares it against purchase orders, receipts, and approval thresholds. If mismatches are found, the workflow sends the item back for review, requests clarification from the supplier, or escalates to finance. Once corrected, the workflow can resubmit the document for approval. This supports faster exception resolution and stronger financial controls.

6. Customer onboarding and KYC document verification

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

Banks, insurers, and regulated service providers can use Azure AI Document Intelligence to extract data from identity documents, proof of address, business registration forms, and tax certificates. OpenText Workflow Service then routes the onboarding case through compliance review, risk scoring, and approval steps. This shortens onboarding cycles while improving auditability and regulatory compliance.

7. Records classification and workflow initiation from incoming correspondence

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

Incoming letters, notices, and scanned correspondence can be classified and key details extracted automatically. OpenText Workflow Service uses that information to create tasks for customer service, legal, compliance, or operations teams based on document type and urgency. This helps organizations respond faster to time-sensitive correspondence and maintain better case tracking.

8. Document-driven analytics and operational reporting

Flow: Azure AI Document Intelligence ? OpenText Workflow Service

Extracted document data can be passed into workflow processes that track cycle times, bottlenecks, exception rates, and approval patterns. OpenText Workflow Service can use this information to trigger escalations, assign workload, and support operational reporting. This gives business teams better visibility into document-heavy processes and helps identify opportunities for continuous improvement.