OpenText Core Case - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Core Case and Steg.ai

OpenText Core Case and Steg.ai complement each other well in workflows where case management depends on accurate image-based evidence, secure digital assets, and consistent content classification. OpenText Core Case provides the structured case environment for review, approval, and resolution, while Steg.ai adds AI-powered image recognition, tagging, and content protection to improve asset intelligence and control.

1. Automated tagging of visual evidence in case files

When images, scans, or screenshots are attached to a case in OpenText Core Case, Steg.ai can analyze the content and apply metadata tags automatically. This is useful in claims, investigations, and compliance cases where visual evidence must be categorized quickly and consistently.

• Data flow: OpenText Core Case to Steg.ai, then Steg.ai back to OpenText Core Case
• Business value: Reduces manual indexing, improves searchability, and speeds up case review
• Example: A claims team uploads damage photos and Steg.ai tags them by object type, severity, and scene context for easier adjuster review

2. Secure handling of sensitive case-related media

For cases involving confidential images or branded assets, Steg.ai can apply content protection controls before files are stored or shared through OpenText Core Case. This helps prevent unauthorized use of sensitive visual content across legal, HR, or compliance workflows.

• Data flow: OpenText Core Case to Steg.ai
• Business value: Strengthens information governance and reduces risk of content leakage
• Example: A compliance investigation includes internal photos that are automatically protected before being made available to the case team

3. AI-assisted triage of image-heavy cases

Steg.ai can classify incoming images and return metadata that helps OpenText Core Case route cases to the right queue or specialist. This is especially valuable when cases are opened with large volumes of visual content and need fast prioritization.

• Data flow: OpenText Core Case to Steg.ai, then Steg.ai to OpenText Core Case
• Business value: Improves case routing accuracy and reduces time to assignment
• Example: Customer support cases with product photos are automatically routed to the correct technical team based on detected product type and issue category

4. Evidence enrichment for investigations and audits

OpenText Core Case can use Steg.ai to enrich visual evidence with machine-generated tags that support investigations, audits, and regulatory reviews. This creates a more complete case record and makes it easier to identify patterns across related cases.

• Data flow: Bi-directional
• Business value: Enhances case context, improves audit readiness, and supports faster root-cause analysis
• Example: In a fraud investigation, Steg.ai identifies recurring objects, logos, or scene elements across multiple submitted images and feeds that insight into the case record

5. Standardized content classification for case attachments

Organizations often struggle with inconsistent naming and classification of attachments stored in case systems. Steg.ai can standardize image classification before content is linked to OpenText Core Case, ensuring that similar assets are tagged the same way across departments and regions.

• Data flow: OpenText Core Case to Steg.ai
• Business value: Improves consistency, search quality, and downstream reporting
• Example: A legal operations team receives scanned documents and photos from multiple offices, and Steg.ai applies a common taxonomy before the files are attached to the case

6. Faster customer resolution in support workflows

In customer support scenarios, customers often submit screenshots or product photos that need to be reviewed by agents. Steg.ai can extract useful visual metadata and pass it into OpenText Core Case so agents can understand the issue faster and resolve the case with fewer handoffs.

• Data flow: OpenText Core Case to Steg.ai, then Steg.ai back to OpenText Core Case
• Business value: Shortens resolution time and improves first-contact resolution rates
• Example: A support case includes a photo of damaged packaging, and Steg.ai identifies the product line and packaging type for the service agent

7. Controlled sharing of approved case assets with downstream teams

After a case is reviewed in OpenText Core Case, approved images or documents can be sent to Steg.ai for protection and tagging before being shared with marketing, training, or quality teams. This ensures only approved content is reused and that it remains traceable.

• Data flow: OpenText Core Case to Steg.ai
• Business value: Supports governance for content reuse and reduces compliance exposure
• Example: A resolved product issue case contains reference images that are approved for internal training and protected before publication

Together, OpenText Core Case and Steg.ai create a stronger workflow for organizations that manage cases with visual content. OpenText Core Case provides the structured process and accountability, while Steg.ai improves classification, protection, and intelligence for image-based assets.