Home | Connectors | Adobe Experience Manager Assets | Adobe Experience Manager Assets - Steg.ai Integration and Automation
Flow: Steg.ai ? Adobe Experience Manager Assets
When new images or videos are uploaded into Adobe Experience Manager Assets, Steg.ai can analyze the content and return enriched tags, labels, and classifications. These tags are then written back into AEM Assets metadata fields to improve search, filtering, and asset reuse.
Business value: Reduces manual metadata entry, improves findability for marketing and creative teams, and speeds up campaign production by making approved assets easier to locate.
Flow: Adobe Experience Manager Assets ? Steg.ai
High-value or restricted assets such as unreleased product images, executive photography, or confidential campaign materials can be sent from AEM Assets to Steg.ai for content protection processing. Steg.ai can apply protection-related intelligence and classification that helps identify and manage sensitive content more effectively.
Business value: Strengthens asset governance, reduces the risk of unauthorized use, and supports brand and legal teams in protecting premium content before external distribution.
Flow: Steg.ai ? Adobe Experience Manager Assets
Steg.ai can enrich asset metadata with object recognition, scene detection, and content-based descriptors that are then stored in AEM Assets. This improves search relevance for brand portal users, regional marketers, and agencies who need to quickly locate the right approved asset.
Business value: Improves self-service asset retrieval, reduces dependence on DAM administrators, and shortens turnaround time for local market content requests.
Flow: Adobe Experience Manager Assets ? Steg.ai
Assets uploaded into AEM Assets can be routed to Steg.ai for automated classification before entering review workflows. Based on the detected content type, sensitivity, or usage risk, AEM can trigger different approval paths such as legal review, brand review, or regional compliance checks.
Business value: Reduces bottlenecks in content operations, ensures the right stakeholders review the right assets, and helps enterprises enforce governance at scale.
Flow: Steg.ai ? Adobe Experience Manager Assets
Steg.ai can identify visual elements, product categories, and contextual content in assets and pass that intelligence into AEM Assets for regional tagging and classification. This is especially useful for global organizations managing localized campaigns across multiple markets and languages.
Business value: Supports faster localization, improves regional asset reuse, and helps teams avoid duplicating creative work across markets.
Flow: Adobe Experience Manager Assets ? Steg.ai
As assets are ingested into AEM Assets, Steg.ai can analyze images for similarity and content matching to help identify duplicates, near-duplicates, or derivative versions. Results can be used to flag redundant files or recommend existing approved assets.
Business value: Reduces storage waste, improves DAM hygiene, and helps creative teams avoid reusing outdated or duplicate content.
Flow: Adobe Experience Manager Assets ? Steg.ai
AEM Assets can provide asset usage context, while Steg.ai can enrich assets with content-level intelligence such as object presence, scene type, or visual attributes. Together, this creates a stronger foundation for analyzing which asset types are most suitable for specific campaign needs.
Business value: Helps marketing teams make better asset selection decisions, improves campaign consistency, and supports more informed content strategy.
Flow: Adobe Experience Manager Assets ? Steg.ai ? Adobe Experience Manager Assets
Before assets are shared with agencies, partners, or distributors, AEM Assets can send them to Steg.ai for classification and protection checks. The enriched metadata can then be returned to AEM to support controlled sharing rules, usage restrictions, and audit readiness.
Business value: Improves external collaboration while maintaining tighter control over brand assets, licensing constraints, and sensitive content distribution.