Azure Computer Vision - OpenText Core Signature Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText Core Signature

1. Automated document intake and signature routing for scanned agreements

Flow: Azure Computer Vision – OpenText Core Signature

When paper contracts, signed forms, or scanned PDFs are uploaded into a document repository, Azure Computer Vision can extract key fields such as customer name, contract type, dates, and signature blocks using OCR. Based on the extracted data, the document can be automatically routed into an OpenText Core Signature workflow for the correct approver or signer group.

Business value: Reduces manual indexing, speeds up contract turnaround, and lowers the risk of sending documents to the wrong signer.

2. Identity and supporting document verification during onboarding

Flow: Azure Computer Vision – OpenText Core Signature

During employee, vendor, or customer onboarding, Azure Computer Vision can read IDs, proof of address documents, and application forms to validate completeness before signature. Once the required information is confirmed, OpenText Core Signature sends the final onboarding packet for legally binding signature.

Business value: Improves first-pass completion rates, reduces onboarding delays, and helps teams catch missing or inconsistent information before signatures are requested.

3. Signature packet preparation from image-based business forms

Flow: Azure Computer Vision – OpenText Core Signature

Organizations often receive image files from field teams, branches, or customers, such as signed service requests, claims forms, or inspection reports. Azure Computer Vision can extract text and identify form sections, then populate a signature-ready document package in OpenText Core Signature for approval or countersignature.

Business value: Eliminates rekeying of form data, shortens cycle times, and standardizes approval workflows across distributed teams.

4. Pre-signature quality control for customer-submitted documents

Flow: Azure Computer Vision – OpenText Core Signature

Before a document is sent for signature, Azure Computer Vision can check whether all required pages are present, whether signatures or initials already exist, and whether critical text is legible. If the document passes validation, it is sent to OpenText Core Signature; if not, it is returned to the business user for correction.

Business value: Prevents failed signature requests, reduces rework, and improves compliance by ensuring only complete documents enter the signing process.

5. Signed document classification and archival metadata enrichment

Flow: OpenText Core Signature – Azure Computer Vision

After a document is signed in OpenText Core Signature, the final PDF can be passed to Azure Computer Vision to extract visible metadata such as document title, reference numbers, dates, and signatory names. That metadata can then be written back to the content repository for classification, search, and retention management.

Business value: Makes signed records easier to find, supports audit readiness, and improves downstream records management without manual tagging.

6. Contract clause and signature page validation for legal teams

Flow: Azure Computer Vision – OpenText Core Signature

Legal operations teams can use Azure Computer Vision to verify that the correct contract version is being signed by checking page counts, clause references, and signature page placement. Once validated, OpenText Core Signature can distribute the document to the required internal and external signers.

Business value: Reduces legal risk, prevents signature on incomplete or outdated documents, and supports stronger contract governance.

7. Accessible signing workflows for visually rich documents

Flow: Azure Computer Vision – OpenText Core Signature

For documents containing diagrams, screenshots, product images, or complex layouts, Azure Computer Vision can generate text descriptions and extract embedded text to improve accessibility. Those enriched documents can then be sent through OpenText Core Signature so reviewers and signers have clearer context before approving.

Business value: Supports accessibility requirements, improves signer understanding, and reduces approval delays caused by unclear document content.

8. Exception handling for incomplete or low-quality signature submissions

Flow: OpenText Core Signature – Azure Computer Vision

If a signed document is returned with missing pages, poor scan quality, or unreadable text, OpenText Core Signature can send the file to Azure Computer Vision for analysis. The service can detect missing content, identify unreadable sections, and flag the document for resubmission or manual review.

Business value: Improves document quality control, reduces downstream processing errors, and helps operations teams resolve exceptions faster.