Scaling Multi-Product Media Platform Launches from Days to Hours

Dentsu, the largest advertising agency in Japan, also the fifth largest advertising agency network in the world, needed a faster way to build and launch new media platform modules across teams. Kagen ADD helped by creating one reusable setup for core functions like taxonomy, campaign management, media plan processing, activation, audit, and governance. This allowed 25-30 engineers to avoid rebuilding the same work for every module, launch new modules in hours instead of days, save 2-4 hours per repository during audits, and process hundreds of media plan rows in a single request.
Scaling Multi-Product Media Platform Launches from Days to Hours

  • 80% Faster Module Launch Setup  
  • 60% Less Audit Review Effort
  • 70% Faster POD Onboarding

Business Requirements

The company needed a faster way to build and launch multiple media product modules across POD teams. Each team was recreating the same setup, workflows, audit steps, and security processes, which slowed delivery and created inconsistency. Manual Excel-based media planning also added effort and made scaling connected media operations harder.

Key requirements included:

  • Standardize setup patterns across multiple product modules and POD teams
  • Reduce repeated workflow, audit, and security implementation effort
  • Automate manual media plan ingestion from Excel-based workflows
  • Create a reusable AI and automation setup that could support taxonomy, campaign management, activation, and governance

Kagen ADD helped create a shared setup across teams, allowing teams to reuse proven patterns instead of recreating them for every product. This enabled faster onboarding for new PODs, more consistent module delivery, and scalable automation across connected media workflows.

Solutions

Shared AI Automation Setup

  • Built a reusable Kagen ADD setup to support multiple platform modules and product PODs
  • Standardized common patterns for workflow, audit, governance, and security cycles
  • Enabled global agents and shared libraries to be reused across the platform

Taxonomy and TXG AI Automation

  • Supported conversational naming, folders, and worksheet workflows through TXG AI
  • Reduced manual setup effort by applying reusable AI-native patterns
  • Enabled rule-compliant processing across hundreds of rows per request

Campaign Management and Workflow Governance

  • Connected campaign briefs, approvals, workflows, and audit requirements into the platform
  • Improved consistency across campaign management modules and product teams
  • Reduced repeated implementation effort for governance-heavy workflows

Media Plan Processing and Activation

  • Kagen ADD automated the reading of Excel media plans, identified the data structure, and converted the information into a usable format for the system. 
  • Supported activation workflows through external integrations and governance controls
  • Created a scalable foundation for connected module delivery across ingestion, activation, and audit

Business Results & Impact

Reduced new module setup from days to hours by using a shared ADD layer across product PODs, platform teams, data teams, and AI delivery teams. This gave every new module a reusable foundation for multi-tenancy, audit, workflow, and governance instead of requiring teams to rebuild core scaffolding from scratch.

Reduced new module setup from days to hours by using a shared ADD layer across product PODs, platform teams, data teams, and AI delivery teams. This gave every new module a reusable foundation for multi-tenancy, audit, workflow, and governance instead of requiring teams to rebuild core scaffolding from scratch.

Completed the TXG AI graph-to-orchestrator migration in 1 week, enabling faster movement from product logic to structured execution. This accelerated delivery across taxonomy workflows, conversational naming, folders, and worksheet-based use cases while maintaining consistency across the platform.

Completed the TXG AI graph-to-orchestrator migration in 1 week, enabling faster movement from product logic to structured execution. This accelerated delivery across taxonomy workflows, conversational naming, folders, and worksheet-based use cases while maintaining consistency across the platform.

Saved approximately 2-4 hours per repository during each security audit cycle by reusing established ADD patterns and shared implementation logic. The result was a more scalable engineering model that supported multiple connected modules, improved team onboarding, and reduced repeated operational effort across the platform.

Saved approximately 2-4 hours per repository during each security audit cycle by reusing established ADD patterns and shared implementation logic. The result was a more scalable engineering model that supported multiple connected modules, improved team onboarding, and reduced repeated operational effort across the platform.

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