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Data flow: Steg.ai to OpenText TeamSite - LiveSite Content Services
When new images are uploaded into Steg.ai for analysis, the platform can automatically detect objects, scenes, logos, and other visual attributes, then pass structured tags back to OpenText TeamSite - LiveSite Content Services. Content teams can use those tags to organize assets, improve searchability, and attach the right images to web pages and portal experiences without manual classification.
Business value: Reduces manual metadata entry, speeds up content production, and improves asset discoverability for web teams and digital marketers.
Data flow: OpenText TeamSite - LiveSite Content Services to Steg.ai, with review status returned to OpenText TeamSite - LiveSite Content Services
Before an image or visual asset is published through LiveSite, it can be sent to Steg.ai for recognition-based checks such as logo detection, sensitive content identification, or unauthorized asset matching. If a risk is detected, the asset can be flagged back in OpenText TeamSite - LiveSite Content Services for review or blocked from publication until approved.
Business value: Helps prevent brand misuse, reduces legal and compliance exposure, and adds a quality gate to publishing workflows.
Data flow: Steg.ai to OpenText TeamSite - LiveSite Content Services
Steg.ai can enrich images with metadata such as product category, environment, audience context, or campaign theme. OpenText TeamSite - LiveSite Content Services can then use that metadata to dynamically render more relevant content blocks on websites and portals. For example, a retail site can automatically surface winter lifestyle images for cold-weather visitors or product-specific visuals for category pages.
Business value: Improves content relevance, supports personalization strategies, and increases conversion potential through better visual matching.
Data flow: Bi-directional
OpenText TeamSite - LiveSite Content Services can publish approved digital assets to customer-facing channels, while Steg.ai continuously monitors and classifies those assets for protection and traceability. If an asset is reused, altered, or detected in an unauthorized context, Steg.ai can send alerts or classification updates back to OpenText TeamSite - LiveSite Content Services so content owners can take action.
Business value: Strengthens control over premium media, supports governance, and helps protect intellectual property across digital channels.
Data flow: Steg.ai to OpenText TeamSite - LiveSite Content Services
Marketing teams often need to launch campaigns quickly with approved imagery. Steg.ai can automatically tag campaign assets by product, region, audience, or theme, then push that metadata into OpenText TeamSite - LiveSite Content Services. Web editors can immediately filter and reuse the right assets in landing pages, microsites, and promotional banners without waiting for manual asset review.
Business value: Shortens campaign turnaround time, reduces dependency on manual asset librarianship, and improves consistency across channels.
Data flow: Bi-directional
In regulated environments such as financial services, healthcare, or public sector, Steg.ai can classify images for sensitive content or restricted usage, while OpenText TeamSite - LiveSite Content Services can enforce publishing rules based on those classifications. Approval outcomes, exceptions, and asset usage history can be synchronized to support audit trails and governance reporting.
Business value: Improves policy enforcement, supports audit readiness, and reduces the risk of publishing non-compliant visual content.
Data flow: Steg.ai to OpenText TeamSite - LiveSite Content Services
Steg.ai can generate rich tags and classifications for images stored or processed for web use. Those tags can be indexed in OpenText TeamSite - LiveSite Content Services so regional teams, agencies, and content creators can quickly find approved assets by subject, campaign, product line, or visual style. This reduces duplicate asset creation and improves reuse across business units.
Business value: Lowers content production costs, improves asset reuse, and enables more efficient collaboration across distributed marketing and digital teams.