I participated in the online event “Test Automation Cases That Reflect QA Engineers’ Thinking” hosted by Findy.

My motivation for participating was a strong interest in the future of “complete test automation through AI,” and I wanted to gain specific hints and insights toward making this a reality. In this article, I’ll report on each session while sharing my learnings and thoughts.

”Quality” - Do Electric Sheep Dream? - Starting “Pre-Test Automation” Quality Assurance with Descartes’ Four Rules

Slides: 品質は、電気羊の夢を見るか？— デカルトの四規則で始める「自動テスト導入前」の品質保証— - Speaker Deck

📝 Preparation before introducing automated testing is important.

Good Quality That QA Aims For ~ The Three Arrows of Manual Testing, Automated Testing, and Generative AI ~

Slides: QAが目指す良い品質〜手動テストと自動テスト、そして生成AIの三本矢〜 | ドクセル

📝 The approach of first covering “expected quality (当たり前品質)” / “atarimae hinshitsu” feels like a fundamental point that should be understood regardless of whether testing is manual, automated, or involves AI.

The Complete Picture of Automated Testing Supporting Phone Service Quality in the Age of Generative AI - From Voice Recognition to Screen Verification

Slides: 2025_09_05_QAエンジニアの思考を映す_テスト自動化事例.pdf - Speaker Deck

📝 An exemplary case where significant improvements were achieved after introducing automated phone testing tools.

I want to leverage these companies’ cases as references to promote AI-powered test automation. That’s all from the Gemba.