OpenText Information Archive - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Information Archive and Steg.ai

1. Archive enriched digital assets with AI-generated metadata

Data flow: Steg.ai ? OpenText Information Archive

Steg.ai can analyze images and digital assets to generate tags, classifications, and content attributes before the files are archived in OpenText Information Archive. This ensures that long-term retained assets are stored with richer metadata, making them easier to search, retrieve, and govern later.

• Improves archive searchability for legal, compliance, and business users
• Reduces manual indexing effort for large image libraries
• Supports consistent classification before records are locked into retention policies

2. Preserve protected brand and regulated content with compliant retention

Data flow: Steg.ai ? OpenText Information Archive

Organizations can use Steg.ai to identify and protect sensitive or high-value images such as product artwork, marketing creatives, regulated labels, or confidential visual assets, then archive those assets in OpenText Information Archive for compliant retention. This creates a controlled lifecycle for content that must be preserved for audit, legal, or brand governance purposes.

• Supports retention of approved final assets and their protection status
• Helps legal and compliance teams prove content history and custody
• Reduces risk of unauthorized deletion or loss of critical visual records

3. Retire legacy content repositories while retaining searchable image records

Data flow: Legacy image repository or DAM ? Steg.ai ? OpenText Information Archive

When decommissioning older content systems, Steg.ai can enrich and classify image assets during migration, and OpenText Information Archive can serve as the long-term compliant repository. This is especially useful when legacy repositories contain large volumes of unstructured visual content that still needs to be retained for regulatory or operational reasons.

• Enables legacy system shutdown without losing access to historical assets
• Improves migration quality by adding modern AI-based tagging during transfer
• Reduces storage and support costs tied to outdated platforms

4. Support legal hold and eDiscovery for visual evidence

Data flow: OpenText Information Archive ? Steg.ai

For investigations, litigation, or regulatory inquiries, OpenText Information Archive can provide the preserved source assets while Steg.ai helps classify and identify relevant images, screenshots, or visual evidence. This combination helps legal and compliance teams quickly isolate content tied to a matter and maintain defensible retention.

• Speeds up evidence identification across large archived image sets
• Improves matter response times for legal and compliance teams
• Maintains chain-of-custody and retention integrity for archived assets

5. Automate archive-ready tagging for enterprise content governance

Data flow: Steg.ai ? OpenText Information Archive

Steg.ai can automatically classify incoming visual content by subject, sensitivity, or usage type before it is archived. OpenText Information Archive then stores the content with retention rules aligned to the classification. This is valuable for organizations that need consistent governance across marketing, product, HR, and compliance content.

• Standardizes metadata before content enters the archive
• Reduces governance gaps caused by inconsistent manual tagging
• Helps records managers apply retention schedules more accurately

6. Maintain secure access to archived brand and product assets

Data flow: OpenText Information Archive ? Steg.ai

Archived assets stored in OpenText Information Archive can be surfaced to Steg.ai for re-analysis when teams need updated classification, protection checks, or content intelligence. This is useful when organizations revisit older assets for reuse, audit, or brand compliance reviews.

• Allows reclassification of archived assets without restoring them to active systems
• Supports brand, product, and compliance teams reviewing historical content
• Helps identify outdated or noncompliant visual materials before reuse

7. Create a governed lifecycle for high-value digital assets

Data flow: Bi-directional

Steg.ai can classify and protect assets at creation or ingestion, while OpenText Information Archive can retain the final approved versions for long-term governance. Together, they support a full lifecycle model from active content handling to compliant archival and disposition.

• Improves control from content creation through retention and disposal
• Supports cross-functional workflows between creative, IT, legal, and compliance teams
• Ensures only approved, tagged, and protected assets are retained long term