OpenText Decision Service - Azure AI Document Intelligence Integration and Automation

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

1. Automated invoice approval and exception routing

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

Azure AI Document Intelligence extracts invoice fields such as supplier name, PO number, line items, tax, and totals from incoming invoices. OpenText Decision Service then applies approval rules based on amount thresholds, vendor status, duplicate invoice checks, cost center, and purchase order match results. Invoices that meet policy are auto-approved, while exceptions are routed to finance or procurement for review.

Business value: Faster invoice processing, fewer manual touches, improved payment accuracy, and stronger control over spend.

2. Claims intake and eligibility decisioning

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

For insurance or benefits operations, Azure AI Document Intelligence captures data from claim forms, medical receipts, supporting documents, or application packets. OpenText Decision Service evaluates extracted data against eligibility rules, coverage criteria, policy limits, and required documentation checks. The system can automatically approve straightforward claims or flag incomplete and non-compliant submissions for case handling.

Business value: Shorter claim cycle times, consistent eligibility decisions, and reduced back-office workload.

3. Customer onboarding and KYC document validation

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

During account opening or customer onboarding, Azure AI Document Intelligence extracts identity details from passports, driver?s licenses, utility bills, and business registration documents. OpenText Decision Service then applies onboarding rules such as document completeness, age validation, address consistency, sanctions screening triggers, and risk-based routing. Low-risk applications can proceed automatically, while higher-risk or incomplete cases are escalated to compliance teams.

Business value: Faster onboarding, better compliance control, and reduced abandonment in customer acquisition journeys.

4. Contract review and policy compliance checks

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

Azure AI Document Intelligence extracts key clauses, dates, renewal terms, payment conditions, and obligations from contracts, amendments, and statements of work. OpenText Decision Service evaluates the extracted terms against corporate policy, approval matrices, and risk thresholds. Contracts that fall within standard terms can move forward automatically, while deviations are routed to legal, procurement, or business owners for review.

Business value: Reduced legal bottlenecks, improved contract governance, and faster turnaround on standard agreements.

5. Supplier onboarding and tax document verification

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

When onboarding new suppliers, Azure AI Document Intelligence captures information from W-9s, tax forms, bank letters, certificates of insurance, and business licenses. OpenText Decision Service checks the extracted data against supplier master rules, required document lists, tax validation criteria, and approval hierarchies. The process can automatically approve compliant suppliers or send incomplete records back to procurement for remediation.

Business value: Cleaner supplier master data, lower onboarding effort, and reduced risk of non-compliant vendors entering the system.

6. Loan origination and credit application triage

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

For lending operations, Azure AI Document Intelligence extracts income statements, bank statements, pay stubs, tax returns, and application forms. OpenText Decision Service then applies underwriting rules such as minimum income, debt-to-income thresholds, document completeness, and product eligibility. Straightforward applications can be fast-tracked, while borderline or high-risk cases are routed to underwriters for manual review.

Business value: Faster credit decisions, improved underwriting consistency, and better use of analyst time.

7. Dispute, audit, and case escalation automation

Data flow: Azure AI Document Intelligence ? OpenText Decision Service

In dispute management or audit workflows, Azure AI Document Intelligence extracts evidence from emails, supporting documents, receipts, and correspondence. OpenText Decision Service evaluates the extracted information against escalation rules, SLA thresholds, dispute type, and resolution authority. Cases can be automatically assigned to the correct team, prioritized by urgency, or escalated when policy conditions are met.

Business value: Better case prioritization, improved SLA compliance, and more consistent handling of operational exceptions.

8. Closed-loop document-driven process optimization

Data flow: Bi-directional

Azure AI Document Intelligence extracts structured data from incoming documents and sends it to OpenText Decision Service for rule evaluation. In return, OpenText Decision Service can trigger document requests, exception notices, or additional validation steps when required data is missing or a rule is not satisfied. This creates a closed-loop workflow where document capture and decisioning continuously guide each other across finance, operations, compliance, and customer service processes.

Business value: End-to-end automation, fewer process gaps, and better operational visibility across teams.