OpenText Extended ECM - Records Management - MediaViz AI Integration and Automation

Common Integration Use Cases Between OpenText Extended ECM - Records Management and MediaViz AI

1. AI-assisted records classification and declaration

Data flow: MediaViz AI - OpenText Extended ECM - Records Management

MediaViz AI analyzes incoming documents, images, and scanned files to identify document type, content category, and likely business context. The classification results are then passed to OpenText Extended ECM - Records Management to automatically declare the item as a formal record, apply the correct retention schedule, and route it to the appropriate file plan. This reduces manual indexing effort, improves consistency, and helps records teams process high volumes of content faster.

2. Automated extraction of key metadata for retention decisions

Data flow: MediaViz AI - OpenText Extended ECM - Records Management

MediaViz AI can extract critical metadata such as dates, names, case numbers, policy references, contract identifiers, and document source details from unstructured content. OpenText Extended ECM - Records Management uses this metadata to determine retention rules, legal hold eligibility, and disposition timing. This is especially valuable in regulated environments where accurate metadata is essential for compliance and defensible retention.

3. Records quality review and exception detection

Data flow: OpenText Extended ECM - Records Management - MediaViz AI

OpenText Extended ECM - Records Management can send records or record batches to MediaViz AI for validation when content appears incomplete, inconsistent, or misfiled. MediaViz AI flags anomalies such as missing signatures, duplicate versions, unreadable scans, or mismatched document types. Records administrators can then correct issues before final declaration, reducing compliance risk and improving the integrity of the records repository.

4. Intelligent support for legal hold and eDiscovery preparation

Data flow: OpenText Extended ECM - Records Management - MediaViz AI

When a legal hold is initiated, OpenText Extended ECM - Records Management can provide relevant record sets to MediaViz AI for rapid content analysis. MediaViz AI identifies likely privileged material, sensitive personal data, and documents related to the matter using pattern recognition and content classification. Legal and compliance teams can use the results to prioritize review, reduce manual screening effort, and prepare more accurate hold inventories.

5. Automated digitization of legacy records into compliant digital files

Data flow: MediaViz AI - OpenText Extended ECM - Records Management

For organizations converting paper archives or legacy scans, MediaViz AI can process large document batches, detect page boundaries, classify document sets, and extract metadata from historical records. OpenText Extended ECM - Records Management then receives the cleaned and indexed content for formal declaration, retention assignment, and long-term preservation. This supports large-scale archive modernization projects in government, healthcare, and financial services.

6. Sensitive information detection before records declaration

Data flow: MediaViz AI - OpenText Extended ECM - Records Management

Before a document is declared as a record, MediaViz AI can detect sensitive content such as personal health information, financial account data, or confidential case details. OpenText Extended ECM - Records Management can then apply the correct retention class, access restrictions, and disposition controls based on the sensitivity profile. This helps reduce privacy exposure and ensures records are governed according to policy from the moment they are captured.

7. Retention policy optimization using content analytics

Data flow: OpenText Extended ECM - Records Management - MediaViz AI

OpenText Extended ECM - Records Management can provide historical record metadata and disposition outcomes to MediaViz AI for analysis of retention patterns, document volumes, and exception rates. MediaViz AI can identify trends such as over-retention, inconsistent classification, or recurring misrouting by business unit. Records and compliance leaders can use these insights to refine retention schedules, improve training, and reduce storage and governance costs.

8. Cross-functional workflow for high-volume operational records

Data flow: Bi-directional

In high-volume processes such as claims, patient intake, loan origination, or procurement, MediaViz AI can classify and enrich incoming documents while OpenText Extended ECM - Records Management governs the record lifecycle. If a document is rejected, corrected, or reclassified, OpenText can send it back to MediaViz AI for reprocessing. This bi-directional workflow supports operations, compliance, and records teams with a controlled process that improves turnaround time and auditability.