Agenda

Testing a video game at scale rarely feels like an easy win. As games grow in complexity, flows and screens multiply, and release pressure increases, testing teams struggle to balance manual testing with automation that is costly to build and difficult to maintain.

This session explores how AI can scale, accelerate, and optimize test cycles while keeping humans in the loop. Using the FRIDA AI Playtesting Framework, we walk through a real testing flow—from defining goals to running automated tests and reviewing rich, contextual results. The talk highlights how testers can drive powerful automation without writing a single line of code.

This is Augmented AI Game Testing in action: testers think like players, chase edge cases, and push gameplay to its limits, while technology handles execution speed, regression cycles, and outcome tracking. Instead of sidelining human expertise, FRIDA Playtesting turns testers' intent into smart, scalable automation. The result is higher quality games, faster validation, and measurable ROI before players press start.

Takeaway

Attendees learn how combining AI with human playtesting increases throughput, optimizes testing effort, and delivers faster, higher-confidence releases by transforming manual validation into scalable, intent-driven automation.

Intended Audience

This session is designed for Game Technology Leaders, QA/QV Directors, Producers, QA Leads, QA Engineers, and Game Testers interested in scaling automated game testing. Attendees should be familiar with game testing workflows, but no prior experience with automation frameworks or AI-driven testing is required.