A QA Agent Platform That Delivers 10× Speed — How We Moved Beyond Individual Skill to Raise the Whol

As the use of AI agents continues to expand, individual proficiency alone is not enough to improve productivity across an entire organization. This is especially true in QA, where teams need to increase speed while also ensuring quality, safety, and reproducibility.

In this session, we will share practical insights from QA Agent Platform（QAAP）, an organization-wide platform that supports QA work with AI agents. Through this initiative, we explore how AI adoption can move beyond individual expertise and become part of an organization’s quality infrastructure.

The key is to build guardrails into the platform so that teams can use AI with confidence, while also designing operational practices that continuously share and improve how people work with AI. We will discuss the mechanisms used to balance safety and speed, the ways individual know-how was turned into organizational knowledge, and the process through which leaders and teams helped the platform take root through hands-on practice.

What does it take to turn “10x speed” from individual task efficiency into a sustainable organizational capability? This session offers reusable design and operational insights for anyone looking to introduce AI agents into their work, move beyond PoC, or scale individual AI practices across teams and organizations.