OpenText Core Signature - MediaViz AI Integration and Automation

Common Integration Use Cases Between OpenText Core Signature and MediaViz AI

OpenText Core Signature provides legally binding electronic signature workflows for documents and approvals, while MediaViz AI can add intelligent content analysis, classification, and automation around documents and media assets. Together, they can streamline document-heavy business processes by combining AI-driven review with secure digital signing.

1. AI-assisted contract review before signature

Data flow: MediaViz AI - OpenText Core Signature

Contracts uploaded for signature can first be analyzed by MediaViz AI to identify missing clauses, detect risky language, classify document type, and extract key fields such as dates, parties, and obligations. Once the document passes review, it is routed to OpenText Core Signature for execution.

• Reduces manual legal review effort
• Improves contract quality before sending to signers
• Speeds up turnaround time for standard agreements

2. Automated document classification and signature routing

Data flow: MediaViz AI - OpenText Core Signature

MediaViz AI can classify incoming documents such as NDAs, employment agreements, vendor contracts, or customer forms and determine the correct approval path. Based on the classification, OpenText Core Signature can initiate the appropriate signing workflow, signer order, and template.

• Eliminates manual sorting of documents
• Ensures the right workflow is applied every time
• Supports high-volume onboarding and procurement processes

3. Signature-ready extraction of key metadata from scanned documents

Data flow: MediaViz AI - OpenText Core Signature

For legacy paper documents or scanned forms, MediaViz AI can extract names, addresses, contract values, and other fields needed to prepare the document for signature. OpenText Core Signature can then use that metadata to populate templates and send the document to the correct signers.

• Reduces rekeying of data from paper or scanned files
• Improves accuracy in signature packets
• Supports digitization of back-office archives

4. Post-signature content validation and compliance checks

Data flow: OpenText Core Signature - MediaViz AI

After a document is signed in OpenText Core Signature, the completed file can be sent to MediaViz AI for validation against business rules, policy requirements, or compliance criteria. For example, it can verify that required attachments are present, signatures are complete, or document versions match the approved template.

• Creates an automated quality control step after execution
• Helps reduce compliance exceptions
• Improves audit readiness for regulated workflows

5. Intelligent onboarding document packages

Data flow: MediaViz AI - OpenText Core Signature

In HR or customer onboarding, MediaViz AI can review a package of submitted documents, identify missing forms, and classify each item by purpose. OpenText Core Signature can then generate the required signature requests for employment agreements, consent forms, tax forms, or service contracts in the correct sequence.

• Shortens onboarding cycle times
• Reduces incomplete submissions
• Improves experience for employees, customers, and HR teams

6. Approval workflow optimization for high-volume business documents

Data flow: Bi-directional

MediaViz AI can analyze historical document patterns to identify bottlenecks, common rejection reasons, and document types that require extra review. Those insights can be used to adjust OpenText Core Signature workflows, templates, and routing rules for faster approvals and fewer exceptions.

• Improves process design based on real document behavior
• Reduces unnecessary approval steps
• Supports continuous workflow improvement

7. Signed document indexing and retrieval with AI enrichment

Data flow: OpenText Core Signature - MediaViz AI

Once a document is signed, OpenText Core Signature can pass the final executed file to MediaViz AI for indexing, tagging, and enrichment. MediaViz AI can add searchable metadata such as document type, signer names, effective dates, and business category to improve downstream retrieval in ECM or records systems.

• Makes signed documents easier to search and manage
• Supports records retention and audit processes
• Improves access for legal, finance, and operations teams

8. Exception handling for incomplete or non-standard signature packets

Data flow: MediaViz AI - OpenText Core Signature

MediaViz AI can detect anomalies in submitted documents, such as missing pages, inconsistent fields, or non-standard formatting, before the packet is sent to OpenText Core Signature. This prevents failed signature requests and reduces rework for operations teams.

• Prevents avoidable signature delays
• Improves first-pass completion rates
• Reduces support tickets and manual intervention