Asset Library & Metadata Management
Asset repository with metadata schema, controlled vocabularies, and multi-language metadata. Organisation follows brand and product hierarchies.
Marketing teams accumulate hundreds of thousands of images, videos, and product visuals across SharePoint, Dropbox, agency hard drives, and a legacy DAM nobody uses. Time-to-market for a new campaign extends because finding the approved hero image for "Product X, Q4, EMEA legal-cleared" takes three days. Brand non-compliance shows up on social when agencies use outdated logos. OpenText Digital Asset Management is the AI-tagged enterprise DAM that the brand team can actually search and that integrates with Adobe Creative Cloud where designers already work. BCS implements the asset migration, the metadata schema, AI tagging at scale, and the brand governance workflow.
Natural-language and reverse-image search across the asset library. Marketing finds the right approved variant without three days of asking around.
Designers check out and check back in from Photoshop, InDesign, and Premiere without leaving the tool. The asset library becomes part of the design workflow.
Native handling of PLY, FBX, STL, 3DS, DAE, OBJ formats. Product imagery for parts catalogues and manufacturing visualisation lives with the rest of the brand library.
Generic DAM platforms work for mid-volume libraries with manual taxonomy maintenance. Enterprise DAM has different requirements: hundreds of thousands of assets, automatic AI tagging across image and video, integration with the marketing tech stack designers actually use, and brand governance workflows that audit changes per asset.
OpenText DAM is built for that enterprise reality. AI tagging at scale removes the manual taxonomy burden. Adobe Creative Cloud integration meets designers where they work. 3D model support extends the platform into product visualisation and manufacturing.
The asset repository with metadata schema, controlled vocabularies, and multi-language metadata. Asset organisation follows brand and product hierarchies the marketing team actually thinks in.
AI auto-tagging on ingest. Image and video classification, object detection, brand mark recognition, content moderation. Natural-language search and reverse-image search across the library.
Automatic rendition generation for web, social, print, broadcast. The same source asset outputs cropped variations, resolution variations, and format variations for the channel mix.
Native handling of PLY, FBX, STL, 3DS, DAE, OBJ formats. 3D product visualisations live alongside imagery and video. Manufacturing asset documentation pairs with brand assets.
Markup, annotation, and approval routing for internal teams and external agencies. Brand approval workflow runs against the asset; usage rights and licence terms enforced at workspace level.
DAM programmes get budget when one of four operational realities forces the decision.
Time-to-market for a campaign extends because the marketing team spends three days looking for the right approved variant of an image, video, or product visual. Agencies use outdated brand assets because they cannot locate the current version. The CMO has accepted the asset estate as the bottleneck.
An older DAM (Bynder, Widen, Aprimo, or a Salesforce DAM module) is in place but the marketing team has reverted to Dropbox and SharePoint. The taxonomy was manual, the search did not work, the designer workflow was bolted on. The CMO wants AI-first retrieval and Adobe Creative Cloud integration as part of the next platform.
Retail, CPG, and manufacturing organisations need 3D product visualisations for parts catalogues, configurator UI, AR previews, and manufacturing documentation. The 3D assets need to live alongside the brand library so marketing and product teams operate on one source. OpenText DAM is among the few enterprise DAMs with native 3D model support.
Post-merger integration surfaces multiple brand asset libraries with different taxonomies. The CMO needs a consolidated platform where the master brand and acquired brand live with controlled access. OpenText DAM absorbs the acquired library with metadata mapping.
DAM has a CMO/marketing-led buyer panel. Each accordion names the specific lever.
For the CMO, the asset estate is the operational chokepoint between campaign brief and campaign launch. DAM moves both: AI search makes assets findable; brand governance makes the approved variant the default.
For the Brand team, controlling which assets external agencies use is the day-to-day battle. DAM provides controlled access, usage rights tracking, and the audit trail for what was used where.
For retail and CPG product content teams, product imagery and 3D visualisations flow into e-commerce, configurator UIs, and AR experiences. DAM is the source of truth for product content.
For media and entertainment, broadcast content workflows handle high-volume video assets with format variety. DAM ships broadcast format support.
For the CIO, the marketing tech stack has accumulated point platforms for assets, brand, video, and product content. DAM consolidates the asset surface onto one platform with enterprise integration.
For Compliance, usage rights tracking and the right-to-be-forgotten requirements (model release, photographer rights, regional restrictions) need a system that can audit asset usage history.
For the CDO, the DAM's AI tagging is a data quality programme in its own right. The quality of the tags decides whether AI search and downstream analytics actually work.
For the CTO, the platform's value depends on whether designers actually use it. Adobe Creative Cloud integration means designers check assets in and out from Photoshop, InDesign, and Premiere directly.
Five product components organised across asset library, AI, renditions, 3D support, and workflow.
Asset repository with metadata schema, controlled vocabularies, and multi-language metadata. Organisation follows brand and product hierarchies.
AI auto-tagging on ingest. Image and video classification, object detection, brand mark recognition, content moderation. Natural-language and reverse-image search.
Automatic format/size/codec generation for web, social, print, broadcast. Same source asset outputs channel-specific variations.
Native handling of PLY, FBX, STL, 3DS, DAE, OBJ formats. Product visualisations, configurator content, manufacturing visualisation supported.
Markup, annotation, approval routing for internal teams and external agencies. Usage rights and licence terms enforced at workspace level.
Native plugins for Photoshop, InDesign, Premiere. Designers check assets in and out without leaving their tool.
Connectors to Akeneo, inRiver (PIM), Sitecore, Adobe Experience Manager, Salesforce Marketing Cloud.
A DAM programme typically runs 14-22 weeks depending on asset migration volume and integration scope. BCS sequences six workstreams.
The current asset estate is inventoried across SharePoint, Dropbox, agency systems, and the incumbent DAM. Asset categories, brand and product hierarchies, usage rights status, and migration priority are mapped.
BCS owns: discovery tooling, estate inventory, taxonomy design. Client owns: brand team owners, asset access, usage rights data.
The metadata schema is designed against brand and product hierarchies. AI tagging models configured for the asset types (lifestyle imagery, product photography, video, 3D). Tagging quality validated against a representative sample.
BCS owns: metadata design, AI tagging setup, sample validation. Client owns: brand team sign-off on metadata schema.
Assets migrate in waves prioritised by usage and recency. High-usage current assets migrate first; historical archive migrates last. Metadata enrichment runs on migrated assets with AI tagging applied.
BCS owns: migration engineering, AI tagging execution, quality validation. Client owns: brand and product team sign-off per wave.
Adobe Creative Cloud plugins deployed to designers. PIM connectors (Akeneo, inRiver) activated for product content. Sitecore/AEM connectors push assets into the web estate. Pilot designers and product content teams onboarded.
BCS owns: integration configuration, plugin deployment. Client owns: Adobe Creative Cloud admin access, PIM/CMS access.
Brand approval workflows configured. Usage rights tracking activated. Anugal IGA extends access governance over the asset library with external agency access carefully scoped. Disposition workflows for outdated assets configured.
BCS owns: workflow design, Anugal policies. Client owns: brand committee sign-off, agency access decisions.
Production cutover. Marketing, brand, product, and broadcast teams adopt the platform. Adoption metrics tracked per team. Legacy DAM platform retires on a defined timeline once adoption is proven.
BCS owns: cutover, adoption measurement, legacy retirement plan. Client owns: team enablement, decommissioning approval.
BCS implements DAM as part of the broader OpenText practice with marketing operations specialisation. The DAM team understands the difference between a platform with good benchmarks and a platform marketing teams actually use.
The agentic system integrator model means three operating platforms travel with every DAM programme.
Identity governance over the asset library, particularly for external agency access. Usage rights, licence expirations, and territory-specific restrictions enforced through access certification.
Metadata validation that runs on migrated assets. Inconsistent legacy tagging, duplicate assets, and orphan files are remediated so AI tagging starts from clean data and search retrieval lands on accurate metadata.
Migration orchestration for the wave-based asset migration. Validation gates per wave, rollback path, and parallel-access management execute as one workflow.
Three updates that shape the DAM conversation in 2026.
OpenText recognised as a Leader in The Forrester Wave: Digital Asset Management Systems, Q1 2026, with highest possible scores in asset onboarding, metadata, immersive content, search, adoption, and asset delivery.
Source: OpenText Forrester Wave DAMNative handling of major 3D model formats positions the platform for retail, CPG, and manufacturing organisations integrating 3D product content with brand and marketing assets.
Source: OpenText DAM 3D capabilitiesThe Media Management product name was simplified to OpenText Digital Asset Management in the August 2025 rebrand. The DAM heritage name continues in market and analyst commentary.
Source: OpenText rebrandThe five questions that decide the DAM programme.
BCS runs a 30-minute readiness session covering the current asset estate, the brand and product taxonomy priority, the Adobe Creative Cloud and PIM/CMS integration scope, the AI tagging quality target, and the migration sequence.
30-minute discovery session*