OpenText Core Case - MediaViz AI Integration and Automation

Common Integration Use Cases Between OpenText Core Case and MediaViz AI

1. AI-Assisted Case Intake and Media Classification

Data flow: MediaViz AI - OpenText Core Case

MediaViz AI can analyze incoming images, video, and scanned documents to detect content type, extract key attributes, and classify the material before it is attached to a case in OpenText Core Case. This is useful for claims, investigations, and compliance reviews where large volumes of visual evidence must be sorted quickly.

• Automatically identify document or media categories
• Extract metadata such as date, location, object type, or incident indicators
• Route the case to the correct team based on content analysis

Business value: Reduces manual triage effort, improves intake accuracy, and shortens time to case assignment.

2. Evidence Enrichment for Claims and Incident Cases

Data flow: MediaViz AI - OpenText Core Case

When a claim or incident case includes photos or video, MediaViz AI can analyze the media and return structured findings to OpenText Core Case. These findings can be stored alongside the case record to support adjusters, investigators, or reviewers.

• Detect damage patterns, objects, or scene details
• Generate structured annotations for case workers
• Support faster review of property, auto, or workplace incidents

Business value: Improves decision quality, reduces review time, and creates a more complete case record.

3. Compliance Review of Visual and Recorded Evidence

Data flow: MediaViz AI - OpenText Core Case

For compliance or audit cases, MediaViz AI can scan uploaded media for policy-relevant content and flag items that require human review. OpenText Core Case can then manage the review workflow, approvals, and audit trail.

• Flag potentially non-compliant content in images or video
• Attach AI findings to the case for reviewer validation
• Escalate exceptions to legal, risk, or compliance teams

Business value: Strengthens governance, improves consistency in reviews, and supports defensible audit processes.

4. Automated Prioritization of High-Risk Cases

Data flow: MediaViz AI - OpenText Core Case

MediaViz AI can score incoming media based on severity, urgency, or anomaly detection and send those scores into OpenText Core Case. The case management workflow can then prioritize cases that appear high risk or time sensitive.

• Identify severe damage, unusual scenes, or suspicious patterns
• Assign priority levels based on AI confidence scores
• Trigger escalation rules for urgent cases

Business value: Helps teams focus on the most critical cases first and improves service-level performance.

5. Human Review and Validation of AI Findings

Data flow: OpenText Core Case - MediaViz AI - OpenText Core Case

OpenText Core Case can send selected media from an active case to MediaViz AI for analysis, then capture the results for human validation. Case workers can confirm, correct, or reject AI-generated findings, creating a controlled review loop.

• Send only relevant case attachments for analysis
• Capture reviewer feedback on AI output
• Maintain an auditable record of decisions and exceptions

Business value: Balances automation with oversight, improves AI reliability over time, and supports regulated workflows.

6. Cross-Team Investigation Workflow with Shared Media Insights

Data flow: Bi-directional

MediaViz AI can provide analyzed media insights to OpenText Core Case, while OpenText Core Case can distribute those insights to claims, fraud, legal, operations, or customer support teams working the same case. This creates a shared operational view across departments.

• Centralize media findings within the case record
• Share annotations and evidence summaries across teams
• Coordinate tasks, approvals, and follow-up actions in one workflow

Business value: Reduces handoff delays, improves collaboration, and ensures everyone works from the same evidence set.

7. Exception Handling for Missing or Low-Quality Evidence

Data flow: MediaViz AI - OpenText Core Case

MediaViz AI can detect blurred, incomplete, duplicate, or low-quality media and notify OpenText Core Case when evidence is insufficient for review. The case workflow can then request resubmission or route the case for alternate handling.

• Detect unusable images or incomplete video submissions
• Trigger requests for additional evidence from customers or field staff
• Prevent downstream processing based on poor-quality inputs

Business value: Reduces rework, improves case completeness, and prevents delays caused by unusable evidence.

8. Case Closure Summaries with AI-Generated Media Findings

Data flow: MediaViz AI - OpenText Core Case

At case closure, MediaViz AI can provide a final summary of media analysis that OpenText Core Case stores as part of the closure package. This is especially useful for investigations, claims, and regulated reviews where a concise evidence summary is needed for records retention or reporting.

• Generate a structured summary of analyzed media
• Attach findings to the final case disposition
• Support reporting, audits, and future reference

Business value: Improves documentation quality, supports compliance retention, and makes closed cases easier to review later.