BRIA AI - OpenText Lens - Data Visibility Integration and Automation

Common Integration Use Cases Between BRIA AI and OpenText Lens - Data Visibility

1. Governed AI image creation from approved source assets

Data flow: OpenText Lens - Data Visibility to BRIA AI

OpenText Lens identifies approved, low-risk product photos, brand assets, and campaign visuals across file shares, DAMs, and collaboration repositories. Those curated assets are then sent to BRIA AI for background replacement, resizing, and variant generation. This ensures creative teams only use compliant source material while accelerating image production for ecommerce and marketing campaigns.

Business value: Reduces copyright and data governance risk, shortens creative turnaround time, and improves consistency in brand-approved imagery.

2. Sensitive content detection before AI-based image transformation

Data flow: OpenText Lens - Data Visibility to BRIA AI

OpenText Lens scans unstructured repositories to identify images or documents containing sensitive information such as customer data, confidential product prototypes, or regulated content. Only assets cleared by policy are passed to BRIA AI for editing or generation. This prevents accidental use of restricted material in AI workflows.

Business value: Supports compliance, reduces exposure of sensitive content, and gives legal and information security teams greater control over AI usage.

3. AI-generated asset library enrichment with governance metadata

Data flow: BRIA AI to OpenText Lens - Data Visibility

BRIA AI generates multiple image variations for campaigns, marketplaces, and regional promotions. These outputs are then indexed by OpenText Lens, which classifies them by content type, business unit, sensitivity, and retention policy. This makes AI-generated assets easier to govern, search, and manage across the enterprise.

Business value: Improves asset discoverability, supports retention and disposition policies, and prevents uncontrolled growth of duplicate or obsolete visuals.

4. Duplicate and obsolete visual content cleanup

Data flow: OpenText Lens - Data Visibility to BRIA AI

OpenText Lens identifies redundant, outdated, or unused images across repositories, including legacy product shots and expired campaign visuals. Creative operations can use BRIA AI to generate updated replacements or refreshed variants before the old assets are archived or removed. This creates a controlled cleanup process rather than a simple deletion exercise.

Business value: Reduces storage waste, improves content quality, and helps teams modernize asset libraries without disrupting ongoing campaigns.

5. Migration readiness for digital asset and content repositories

Data flow: OpenText Lens - Data Visibility to BRIA AI

During DAM or content platform migrations, OpenText Lens inventories all visual assets and identifies which files are active, obsolete, sensitive, or duplicated. BRIA AI can then be used to regenerate missing variants, standardize image formats, or create new market-specific versions before migration cutover. This helps teams move only the right content and fill gaps in the new environment.

Business value: Lowers migration risk, reduces content sprawl, and ensures the target platform launches with complete and usable visual assets.

6. Regional and channel-specific image production using governed source sets

Data flow: OpenText Lens - Data Visibility to BRIA AI, then BRIA AI to OpenText Lens - Data Visibility

OpenText Lens identifies which product and campaign assets are approved for reuse by region, brand, or channel. BRIA AI uses those assets to create localized imagery for marketplaces, social media, retail banners, and email campaigns. The generated outputs are then scanned back into OpenText Lens for classification and policy tagging.

Business value: Speeds localization, ensures policy compliance across channels, and gives marketing operations a repeatable workflow for high-volume content production.

7. Information risk review for AI-generated and source visual content

Data flow: Bi-directional

OpenText Lens can monitor repositories containing both original and BRIA AI-generated images to identify content that should be reviewed for privacy, brand, or regulatory concerns. BRIA AI can then be used to create sanitized alternatives, such as removing sensitive background details or replacing restricted elements in images. This creates a closed-loop review and remediation process.

Business value: Improves governance over visual content, reduces manual review effort, and helps organizations respond quickly to risk findings.