Azure Blob Storage - OpenText Decision Service Integration and Automation

Common Integration Use Cases Between Azure Blob Storage and OpenText Decision Service

Azure Blob Storage provides scalable, low-cost file storage and distribution, while OpenText Decision Service automates business decisions using centralized rules. Together, they support workflows where documents, files, or large data sets must be evaluated against changing business policies and routed consistently.

1. Document-Based Eligibility Decisions for Customer Onboarding

Data flow: Azure Blob Storage to OpenText Decision Service

Store onboarding documents such as identity proofs, tax forms, and financial statements in Azure Blob Storage. When a new application is submitted, OpenText Decision Service evaluates metadata and extracted document attributes against eligibility rules to determine whether the case can proceed, needs manual review, or must be rejected.

• Reduces manual screening effort for onboarding teams
• Supports fast rule updates when regulatory or policy requirements change
• Improves consistency in approval decisions across branches or regions

2. Claims Triage Using Supporting Evidence Files

Data flow: Azure Blob Storage to OpenText Decision Service

In insurance or warranty operations, claim photos, repair estimates, and supporting PDFs can be stored in Azure Blob Storage. OpenText Decision Service uses claim attributes and document indicators to decide whether a claim is auto-approved, routed to fraud review, or escalated to a specialist queue.

• Speeds up low-risk claim handling
• Improves fraud detection and exception routing
• Creates a repeatable triage process for claims operations

3. Policy-Based File Retention and Access Decisions

Data flow: OpenText Decision Service to Azure Blob Storage

Use OpenText Decision Service to determine retention periods, legal hold status, or access restrictions based on document type, jurisdiction, customer segment, or contract value. The resulting decision can drive how files are stored, tagged, or moved within Azure Blob Storage tiers and containers.

• Supports compliance with records management policies
• Helps legal and compliance teams enforce retention rules consistently
• Reduces risk of premature deletion or unauthorized access

4. Automated Loan or Credit Application Decisioning

Data flow: Azure Blob Storage to OpenText Decision Service

Loan applications often include bank statements, pay slips, and supporting financial documents. These files can be stored in Azure Blob Storage, then evaluated by OpenText Decision Service using extracted data and business rules to determine approval thresholds, required collateral, or manual underwriting review.

• Shortens underwriting cycle times
• Standardizes lending decisions across product lines
• Allows credit policy changes without application code changes

5. Supplier and Contract Compliance Review

Data flow: Azure Blob Storage to OpenText Decision Service

Procurement teams can store supplier certifications, insurance certificates, signed contracts, and audit evidence in Azure Blob Storage. OpenText Decision Service evaluates whether the supplier meets onboarding or renewal criteria, such as valid certification dates, required clauses, or risk thresholds.

• Improves supplier governance and audit readiness
• Reduces manual contract review workload
• Ensures procurement decisions follow current policy rules

6. Exception Handling for High-Volume Case Management

Data flow: Bi-directional

When large files are uploaded to Azure Blob Storage as part of a case, OpenText Decision Service can determine whether the case is standard, exception-based, or requires escalation. The decision outcome can then be written back to the case record or used to trigger additional file collection, such as missing documents or updated evidence.

• Improves case routing accuracy
• Supports cross-team workflows between operations, compliance, and customer service
• Enables dynamic handling of exceptions without manual intervention

7. Regulatory Review and Audit Sampling

Data flow: Azure Blob Storage to OpenText Decision Service

Compliance teams can store transaction records, correspondence, and audit files in Azure Blob Storage. OpenText Decision Service applies sampling rules to decide which records require review based on risk score, geography, transaction amount, or customer profile.

• Focuses audit effort on higher-risk records
• Improves regulatory oversight with consistent sampling logic
• Reduces the cost of broad manual review processes

8. Dynamic Content Distribution Based on Business Rules

Data flow: OpenText Decision Service to Azure Blob Storage

OpenText Decision Service can determine which version of a file, form, or policy document should be delivered to a user or partner based on role, region, product, or customer status. Azure Blob Storage then serves the approved file version from the appropriate container or access path.

• Ensures users receive the correct document version
• Supports regional and role-based content governance
• Reduces errors caused by outdated or non-compliant documents