Azure Blob Storage - OpenText Core Signature Integration and Automation

Common Integration Use Cases Between Azure Blob Storage and OpenText Core Signature

1. Store Signed Agreements in Azure Blob Storage for Enterprise Distribution

Flow: OpenText Core Signature ? Azure Blob Storage

After a document is fully signed in OpenText Core Signature, the executed PDF and audit trail are automatically archived in Azure Blob Storage. This creates a centralized, scalable repository for long-term retention, downstream sharing, and integration with other enterprise systems.

• Supports legal and compliance retention requirements
• Reduces manual downloading and filing of signed documents
• Enables easy access for legal, finance, and operations teams

2. Send Contract Packages from Azure Blob Storage for Signature

Flow: Azure Blob Storage ? OpenText Core Signature

Contract templates, offer letters, policy acknowledgements, or customer forms stored in Azure Blob Storage can be automatically routed into OpenText Core Signature for approval and signing. This is useful when documents are generated by upstream systems and stored in cloud storage before signature initiation.

• Streamlines document handoff from generation to signature
• Eliminates email-based attachment handling
• Improves consistency in contract and HR document workflows

3. Archive Signed HR Documents for Employee Record Management

Flow: OpenText Core Signature ? Azure Blob Storage

HR teams can use OpenText Core Signature to collect signatures on offer letters, employment agreements, policy acknowledgements, and onboarding forms, then automatically store the signed versions in Azure Blob Storage for employee record retention and future retrieval.

• Improves onboarding turnaround time
• Creates a secure digital record for audits and employee lifecycle events
• Reduces paper handling across HR operations

4. Manage Customer Onboarding Documents Across Sales and Operations

Flow: Bi-directional

Sales or customer success teams can place onboarding documents in Azure Blob Storage, send them to OpenText Core Signature for execution, and then return completed files to Azure Blob Storage for operational use. This supports customer agreements, service authorizations, and compliance forms in a single workflow.

• Improves handoff between sales, legal, and operations
• Accelerates customer activation and account setup
• Provides a single source for signed onboarding records

5. Centralize Audit-Ready Document Retention for Compliance

Flow: OpenText Core Signature ? Azure Blob Storage

Signed documents and signature certificates can be stored in Azure Blob Storage as part of a controlled retention policy. Compliance, legal, and internal audit teams can retrieve complete signing records without relying on local files or manual exports.

• Supports audit readiness and regulatory review
• Enables retention policies aligned to business rules
• Reduces risk of lost or incomplete signature evidence

6. Distribute Executed Documents to Downstream Business Systems

Flow: OpenText Core Signature ? Azure Blob Storage ? Other enterprise applications

Once a document is signed, it can be stored in Azure Blob Storage and then consumed by ERP, CRM, HRIS, or ECM platforms that read from the storage layer. This pattern is effective when multiple systems need access to the same executed document without duplicating signature logic.

• Improves interoperability across enterprise applications
• Reduces duplicate document uploads and version confusion
• Supports scalable document distribution across departments

7. Support High-Volume Signature Workflows with Cloud Storage Staging

Flow: Azure Blob Storage ? OpenText Core Signature ? Azure Blob Storage

For organizations processing large batches of documents, Azure Blob Storage can act as a staging area for incoming files before they are sent to OpenText Core Signature. Completed documents are then written back to storage for downstream processing, reporting, or archival.

• Useful for mass HR campaigns, renewals, and customer notifications
• Improves processing efficiency for large document volumes
• Provides a scalable pattern for automated document operations