OpenText Information Archive - MediaViz AI Integration and Automation

Common Integration Use Cases Between OpenText Information Archive and MediaViz AI

OpenText Information Archive is typically used to retain, govern, and decommission enterprise data sources, while MediaViz AI is likely used to analyze, classify, and extract value from visual or media-based content. Together, they can support compliant retention, faster discovery, and smarter operational workflows across records, legal, compliance, and content teams.

1. AI-Based Classification of Archived Media Before Retention Assignment

Data flow: MediaViz AI - OpenText Information Archive

MediaViz AI can analyze incoming images, video, or scanned documents to identify content type, sensitivity, and business relevance before the data is archived in OpenText Information Archive. The classification results can be used to assign retention rules, legal holds, and access controls automatically.

• Reduces manual indexing and tagging effort
• Improves retention accuracy for regulated content
• Helps compliance teams apply the right policy from day one

2. Enriched Search and Retrieval for Archived Visual Content

Data flow: OpenText Information Archive - MediaViz AI - OpenText Information Archive

Archived media assets stored in OpenText Information Archive can be sent to MediaViz AI for content recognition, OCR, object detection, or scene analysis. The extracted metadata and tags are then written back to the archive to improve searchability and retrieval.

• Enables faster eDiscovery and audit response
• Improves discoverability of non-text content
• Supports legal and compliance teams searching by content attributes, not just file names

3. Legacy Media Repository Decommissioning with Intelligent Content Preservation

Data flow: OpenText Information Archive - MediaViz AI

When retiring a legacy media repository or digital asset system, OpenText Information Archive can preserve the original files and retention metadata. MediaViz AI can process the migrated content to extract additional descriptors, making the archived repository usable after the source system is shut down.

• Supports system retirement without losing content context
• Reduces long-term licensing and infrastructure costs
• Preserves business access to historical media assets

4. Compliance Review of Sensitive Visual Content

Data flow: OpenText Information Archive - MediaViz AI - OpenText Information Archive

OpenText Information Archive can provide a controlled set of archived media for compliance review. MediaViz AI can detect faces, logos, documents, confidential screens, or other sensitive elements and return findings to the archive for review workflows and disposition decisions.

• Helps identify privacy or confidentiality risks in archived media
• Supports regulatory review of customer-facing or employee-related content
• Improves defensibility of retention and deletion decisions

5. Automated Legal Hold Identification for Media Records

Data flow: OpenText Information Archive - MediaViz AI - OpenText Information Archive

Archived media related to investigations, litigation, or claims can be analyzed by MediaViz AI to identify relevant scenes, objects, timestamps, or embedded text. Those findings can be returned to OpenText Information Archive to support legal hold placement and case-specific retention.

• Speeds up legal review of large media collections
• Reduces the chance of missing relevant evidence
• Improves coordination between legal, records, and IT teams

6. Metadata Enrichment for Enterprise Content Governance

Data flow: MediaViz AI - OpenText Information Archive

MediaViz AI can generate enriched metadata such as content category, language, sentiment, object labels, or OCR text for archived files. OpenText Information Archive can then use that metadata to improve governance, retention scheduling, and access policy enforcement.

• Creates a more complete archive record
• Supports policy-based retention decisions
• Improves downstream reporting and audit readiness

7. Controlled Access to Archived Media for Business Users

Data flow: OpenText Information Archive - MediaViz AI - OpenText Information Archive

Business users can request access to archived media through OpenText Information Archive, while MediaViz AI generates previews, thumbnails, summaries, or content insights to help users determine relevance before full retrieval. This reduces unnecessary file restores and improves user productivity.

• Lowers storage and retrieval overhead
• Speeds up content review for operations and marketing teams
• Minimizes exposure of sensitive files by limiting full access until needed

8. Disposition Validation for Archived Visual Assets

Data flow: OpenText Information Archive - MediaViz AI - OpenText Information Archive

Before records are permanently disposed, OpenText Information Archive can send candidate media assets to MediaViz AI for final content validation. The AI can confirm whether files contain regulated, sensitive, or business-critical material that should be retained longer or escalated for review.

• Reduces accidental deletion of important records
• Improves confidence in automated disposition workflows
• Supports defensible records management practices