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    DAM Modernisation with Agentic AI

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    Sold by: TBSCG 
    Vendor-agnostic DAM modernisation programme for brands consolidating fragmented asset estates. AI agents reconcile metadata, rights, and duplicates during the move. A productised programme for brands and enterprises consolidating image and video assets across legacy DAMs, network shares, bespoke storage, and CMS-embedded media libraries. Built for organisations where the migration is the right opportunity to fix the metadata, taxonomy, and rights problems that everyone has been working around. Vendor-agnostic on target platform; recommendation based on estate fit rather than partnership economics. AWS Advanced Consulting Partner. Cloudinary partner. Twenty years of enterprise digital migration for image-heavy global brands including Nikon, Bobcat, Herbalife, and El Corte Inglés.

    Overview

    What this is

    A productised DAM modernisation and migration programme for brands and enterprises consolidating fragmented asset estates onto a modern platform. The buyer profile is specific: image and video volume has outgrown the systems that manage it; metadata is inconsistent across stores; rights information is missing or unreliable; the business has decided that the migration is the right opportunity to fix what has been worked around for years.

    The programme is vendor-agnostic on input across legacy DAMs, network shares, bespoke storage solutions, and CMS-embedded media libraries. It is also vendor-agnostic on output: TBSCG holds the deepest implementation experience on Cloudinary, but the platform recommendation is based on estate fit and team capability rather than partnership economics.

    Why this is an agentic problem

    DAM migration is a metadata problem more than a file-transfer problem. Moving image and video files between systems is mechanically simple. The harder work is reconciling inconsistent metadata, identifying duplicates and near-duplicates across formats and resolutions, applying consistent taxonomy across an estate that has accumulated different conventions in different teams over different years, and surfacing rights and licensing gaps before the migration rather than after.

    These are exactly the structured judgement tasks that agentic AI handles well. Each has measurable correctness. Each requires senior sign-off at thresholds. Each replaces what has historically been weeks of manual re-tagging by junior teams. The agents reconcile and propose; senior engineers govern the structural decisions about taxonomy, rights, and asset model.

    How it runs

    Stage 1: Asset estate assessment. Audit current sources, formats, volumes, rights and licensing, current usage on live properties, and editorial workflows. Cost analysis of current storage and operational spend. Consolidation potential mapped against business requirements. Output: a costed roadmap and a vendor selection brief.

    Stage 2: Vendor selection. Recommendation of a target DAM platform (Cloudinary or alternative) based on estate fit, team capability, integration requirements, and total cost of ownership. Vendor-neutral recommendation. Architecture for the target platform documented and approved.

    Stage 3: Migration with agentic reconciliation. Assets extracted from source systems. Agents identify duplicates, normalise metadata, apply consistent tagging, propose a clean target taxonomy, and surface rights gaps. Senior engineering and creative team review and adjust before the production move. Full transfer with the source estate parallel-running. Downstream integration with CMS, commerce, and digital channels reconfigured.

    What you get

    A modernised asset library on the right target platform, with metadata, taxonomy, rights, and structure in better condition than any of the source estates. Live-site image and video references preserved across the cutover. A documented asset model your team can extend. A retired legacy stack with archival. A team trained on the new platform's transformation and delivery patterns. Outcomes typically include 30-50% reduction in storage and operations cost, 60%+ improvement in asset discoverability, and 50% reduction in manual tagging work.

    Why TBSCG

    Cloudinary partner with deep implementation experience. AWS Advanced Consulting Partner. Certified across Magnolia, Contentful, Contentstack, and commercetools, which matters because DAM modernisations rarely happen in isolation: the downstream CMS and commerce integration is part of the work.

    Twenty years of enterprise digital migration for image-heavy global brands including Nikon, Bobcat, Herbalife, and El Corte Inglés. Senior engineers on bench with DAM architecture and metadata governance specialism. Specific experience taking brands with fragmented asset estates through consolidation, including the rights, governance, and workflow shifts that the platform alone cannot deliver.

    The brand position: the endpoint of the engagement is your team running the new asset platform without us. We are built to be let go.

    Adjacent services

    Cloudinary Migration as the target-platform-specific version where Cloudinary is the chosen destination. The Agentic Migration Accelerator as the underlying capability. CMS Transformation for Financial Services for organisations running CMS and DAM modernisation in the same window. Composable Commerce Transformation for organisations integrating DAM into a composable commerce stack. Grove for long-form engineering partnership. Canopy for productised 24/7 managed support.

    Highlights

    • Three productised stages: assessment of the current asset estate including cost, rights, and consolidation potential; vendor selection from a shortlist of modern DAM platforms based on estate fit; and migration with agentic reconciliation. Agents identify duplicates across formats and resolutions, normalise inconsistent metadata, propose a clean taxonomy, and surface rights gaps during the move. Senior engineers govern the structural decisions on taxonomy, rights, and asset model.
    • Vendor-agnostic on target platform. TBSCG holds the deepest implementation experience on Cloudinary but is qualified across the modern DAM category, and the platform recommendation in stage 2 is based on estate fit and team capability rather than partnership economics. Where the existing asset estate is consolidating from multiple sources, the resulting library is structured better than any of its inputs: cleaner taxonomy, complete metadata, surfaced rights gaps closed before cutover.
    • Cloudinary partner. AWS Advanced Consulting Partner. Twenty years of enterprise digital migration for image-heavy global brands including Nikon, Bobcat, Herbalife, and El Corte Inglés. Specific experience consolidating fragmented asset estates across legacy DAMs, network shares, bespoke storage, and CMS-embedded media libraries. Senior engineers on bench with DAM architecture and metadata governance specialism, not graduate pyramids.

    Details

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    Deployed on AWS
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    Support

    Vendor support

    Every DAM modernisation is run by a named engineering team and a dedicated project manager. The named team includes a DAM architect, a metadata governance lead, and a senior consultant with platform-selection experience. Senior, not rotational.

    Rights and licensing reconciliation is a critical part of stage 3. Where rights data is missing in the source estate, the engagement includes a structured process for surfacing gaps to the brand and legal teams before the production move, so the new library starts with rights provenance rather than rights debt.

    After cutover, three options for ongoing engagement:

    Hypercare. Immediate response in the weeks immediately after launch.

    Canopy. 24/7 productised managed support on the new platform.

    Grove. Long-form engineering partnership where the same senior team carries the asset platform forward over years.

    Recovery. Available if a previous DAM consolidation has stalled and needs taking on rather than restarting.

    Contact: support_aws@tbscg.com  / +44 20 8191 3160