Agenda
Beyond the Surface: AI & Automation for Game Producers
Samuel Soh (Project Manager, Ubisoft)
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Hot Topics:
AI
Track:
Production & Team Leadership
Format:
Lecture
Vault Recording: TBD
While code, art, and design dominate AI discussions in game development, project management and producing remains one of the highest-leverage, least-explored applications for automation. This session shows how live-service production teams eliminate administrative overhead by strategically pairing generative AI with deterministic, low-cost automation.
Using real-world workflows from Skull and Bones, the speaker demonstrates internal tools built on LLMs that convert manual, routine work into automated processes, allowing work to be delivered in minutes rather than weeks. The talk provides a clear decision framework distinguishing fuzzy AI tasks from predictable automation, highlighting how producers can shift their focus from manual data collection to strategic decision-making.
Attendees gain a practical breakdown of how to build these discipline-agnostic tools, a realistic assessment of risks, and actionable steps to streamline high-overhead tasks within their own pipelines.
Using real-world workflows from Skull and Bones, the speaker demonstrates internal tools built on LLMs that convert manual, routine work into automated processes, allowing work to be delivered in minutes rather than weeks. The talk provides a clear decision framework distinguishing fuzzy AI tasks from predictable automation, highlighting how producers can shift their focus from manual data collection to strategic decision-making.
Attendees gain a practical breakdown of how to build these discipline-agnostic tools, a realistic assessment of risks, and actionable steps to streamline high-overhead tasks within their own pipelines.
Takeaway
Attendees learn to eliminate production overhead by pairing generative AI with automation. Using real-world examples from Skull and Bones, the speaker demonstrates the elimination of manual routine work through LLMs and automated processes, offering frameworks to improve production pipeline efficiency, while also exploring the risks and potential of emerging technology.
Intended Audience
Producers, project/program managers, production directors, and team leads - plus anyone burdened by repetitive planning, reporting, or ticket work. No prior AI or LLM knowledge is required; basic familiarity with production workflows helps. The talk is built to be useful to both AI skeptics and enthusiasts.