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Case study

AI agent embedded in a game studio's asset pipeline

A custom AI agent was introduced into the project workflow to remove manual handoffs between production, PM, and development.

The bottleneck

Asset integration required repeated PM-to-development coordination. Status lived across people and tools, which created avoidable follow-ups, delayed handoffs, and less time for senior developers to focus on game work.

What CONSYSTEAM built

An AI agent embedded in the studio’s existing project-management workflow. It coordinates asset delivery, flags blockers, and gives the team a consistent view of what needs action.

The system is custom to the studio’s release process rather than an off-the-shelf assistant layered on top of it.

Delivery scope

  • Workflow mapping with production, PM, and development stakeholders
  • Custom agent logic for handoffs and exceptions
  • Integration with existing project-management tools
  • Operational documentation and handover

Current status

The system is in active development. The expected operational outcome is fewer manual handoffs and faster movement from asset readiness to implementation.

See what we built. Then decide if it fits.

RAG knowledge systems
AI workflow automation
Real systems inside existing teams.
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