Steg.ai - OpenText Core Digital Asset Management Integration and Automation

Common Integration Use Cases Between Steg.ai and OpenText Core Digital Asset Management

1. Automated AI Tagging for Newly Ingested Assets

Data flow: OpenText Core Digital Asset Management → Steg.ai → OpenText Core Digital Asset Management

When new images, graphics, or rich media files are uploaded into OpenText Core Digital Asset Management, Steg.ai can analyze the content and return AI-generated tags, labels, and classification metadata. This improves searchability and reduces the manual effort required from marketing, creative, and content operations teams.

• Speeds up asset indexing and cataloging
• Improves metadata consistency across large libraries
• Helps teams find approved assets faster for campaigns and publishing

2. Content Protection and Sensitive Asset Identification

Data flow: OpenText Core Digital Asset Management → Steg.ai → OpenText Core Digital Asset Management

Organizations can use Steg.ai to detect sensitive or high-value visual content stored in OpenText Core Digital Asset Management, such as unreleased product images, confidential brand materials, or regulated content. The system can then apply protection-related tags or flags to support controlled access and governance workflows.

• Supports stronger digital rights and content governance
• Helps identify assets that require restricted distribution
• Reduces the risk of unauthorized use of premium or confidential media

3. Automated Workflow Routing Based on Image Recognition

Data flow: OpenText Core Digital Asset Management → Steg.ai → OpenText Core Digital Asset Management

Steg.ai can classify assets by visual content, such as product type, scene, logo presence, or document category, and send that classification back to OpenText Core Digital Asset Management. The DAM can then route assets into the correct approval, review, or publishing workflow based on the detected content type.

• Reduces manual triage by content operations teams
• Improves speed of approvals for large asset volumes
• Ensures assets follow the right governance path from the start

4. Brand Compliance and Logo Detection for Marketing Assets

Data flow: OpenText Core Digital Asset Management → Steg.ai → OpenText Core Digital Asset Management

Marketing teams can use Steg.ai to identify whether brand logos, product marks, or required visual elements are present in approved assets stored in OpenText Core Digital Asset Management. This helps validate that campaign materials meet brand standards before distribution.

• Supports brand compliance checks at scale
• Reduces time spent on manual visual review
• Helps prevent use of incomplete or off-brand creative

5. Enhanced Search and Discovery for Creative and Commercial Teams

Data flow: Steg.ai → OpenText Core Digital Asset Management

Steg.ai can enrich asset metadata with AI-derived descriptors that are written back into OpenText Core Digital Asset Management, making it easier for users to search by visual attributes rather than only by manually entered keywords. This is especially useful for global teams managing large, diverse asset libraries.

• Improves asset discoverability across departments and regions
• Reduces duplicate asset creation due to poor search results
• Increases reuse of approved content

6. Bulk Metadata Enrichment for Legacy Asset Libraries

Data flow: OpenText Core Digital Asset Management → Steg.ai → OpenText Core Digital Asset Management

For organizations migrating or cleaning up older asset repositories, Steg.ai can process existing image libraries in OpenText Core Digital Asset Management and generate missing tags, classifications, and protection indicators. This is valuable for large archives where manual metadata cleanup would be too time-consuming.

• Modernizes legacy DAM libraries without full rework
• Improves metadata quality for older assets
• Supports digital transformation and repository rationalization efforts

7. Bi-Directional Governance for Approved and Restricted Assets

Data flow: OpenText Core Digital Asset Management → Steg.ai

OpenText Core Digital Asset Management can send asset status, usage rights, or approval state to Steg.ai, while Steg.ai returns recognition results and protection flags. This bi-directional exchange supports a more complete governance model where asset classification and content protection work together.

• Aligns visual intelligence with DAM governance rules
• Improves control over approved, restricted, and expired assets
• Supports enterprise compliance and audit readiness