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OpenText Exstream - Steg.ai Integration and Automation

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Common Integration Use Cases Between OpenText Exstream and Steg.ai

1. Automated Brand-Safe Image Tagging for Customer Communications

Data flow: Steg.ai ? OpenText Exstream

Steg.ai can analyze approved marketing and service images, classify them by subject, product, region, or campaign, and pass structured tags into OpenText Exstream. Exstream can then use those tags to select the right image assets for statements, policy documents, welcome packs, and notices.

  • Reduces manual asset selection by communications teams
  • Improves consistency across print, email, web, and mobile outputs
  • Helps ensure the right image is used for the right customer segment or jurisdiction

2. Content Protection for High-Value Communication Assets

Data flow: OpenText Exstream ? Steg.ai

OpenText Exstream-generated communication templates, branded graphics, and customer-facing documents can be sent to Steg.ai for digital asset protection and classification. This helps secure sensitive visual content used in regulated communications, such as policy illustrations, premium notices, and financial summaries.

  • Protects reusable communication assets from unauthorized use
  • Supports governance for regulated and brand-sensitive materials
  • Creates a controlled asset library for downstream teams and channels

3. Dynamic Image Selection Based on Communication Type and Customer Profile

Data flow: Bi-directional

Steg.ai can enrich image assets with metadata, while OpenText Exstream can provide communication context such as document type, customer segment, product line, or region. Exstream can then request the most relevant tagged image from the asset repository for each generated communication.

  • Enables personalized visuals in statements, bills, and policy documents
  • Supports localized and product-specific communication variants
  • Improves customer relevance without increasing manual design effort

4. Compliance Review of Visual Content in Regulated Documents

Data flow: OpenText Exstream ? Steg.ai ? OpenText Exstream

Exstream can generate communication packages and send embedded or linked visual assets to Steg.ai for classification and protection checks. Steg.ai can return tags or flags indicating whether an image is approved, restricted, or requires review before publication.

  • Supports compliance teams in financial services, insurance, and utilities
  • Reduces risk of using outdated, unapproved, or off-brand imagery
  • Creates a review checkpoint before high-volume document release

5. Automated Asset Enrichment for Communication Template Libraries

Data flow: Steg.ai ? OpenText Exstream

Steg.ai can scan a central image repository and generate descriptive tags such as product category, audience, campaign, season, or usage rights. OpenText Exstream can ingest these tags into its template and content management processes so communication designers can quickly locate approved assets.

  • Speeds up template creation and maintenance
  • Improves searchability of approved visual assets
  • Reduces dependency on manual cataloging by creative operations teams

6. Channel-Specific Asset Governance for Multi-Channel Output

Data flow: Bi-directional

OpenText Exstream generates communications across print, email, web, and mobile, while Steg.ai provides asset intelligence and protection metadata. Together, they can enforce channel-specific rules, such as using certain images only in digital channels or restricting high-resolution assets to print.

  • Ensures assets are used appropriately across channels
  • Helps maintain consistent customer experience across touchpoints
  • Supports operational control for omnichannel communication teams

7. Faster Campaign and Notice Production with Reduced Manual QA

Data flow: Steg.ai ? OpenText Exstream

By automatically tagging and classifying image assets before they are used in Exstream templates, Steg.ai reduces the need for manual quality checks during production. Communications operations teams can rely on pre-approved, well-tagged assets when assembling high-volume customer notices and campaigns.

  • Shortens production cycles for time-sensitive communications
  • Reduces rework caused by incorrect or missing asset metadata
  • Improves throughput for large-scale statement and correspondence runs

8. Centralized Governance for Shared Marketing and Service Assets

Data flow: Bi-directional

Steg.ai can maintain asset intelligence and protection controls, while OpenText Exstream consumes those governed assets in customer communications. Updates to asset status, usage rights, or classification can flow back to Exstream so only current, approved content is available for document generation.

  • Creates a single source of truth for approved visual content
  • Supports cross-team collaboration between marketing, compliance, and communications operations
  • Reduces the risk of outdated or non-compliant assets entering production

How to integrate and automate OpenText Exstream with Steg.ai using OneTeg?