Drawing on research involving more than 200 organizations, Hrishikesh Bharthi examines how quality engineering (QE) teams are using artificial intelligence (AI) in their day-to-day work. While 94% of teams are already using AI in software testing, their use cases and return on investment (ROI) vary widely. What seems to matter most is how well they integrate AI into existing workflows.

In this session, Hrishikesh will share the research findings and showcase how companies such as Wells Fargo, Amazon, Nike, and Spotify use a Unified Test Stack powered by agentic AI to deliver measurable, practical value. He will introduce BrowserStack Test Companion and demonstrate how purpose-built AI agents are transforming the software development engineer in test (SDET) workflow directly inside the integrated development environment (IDE).

Hrishikesh will present live demonstrations of high-impact use cases, including automated test authoring tailored to real-device behaviors, such as biometrics and Face ID, low-code automation, self-healing user interface (UI) locators, accessibility remediation, and root-cause analysis of test failures. He will demonstrate how integrating these agentic workflows is helping customers achieve a tenfold increase in productivity, a 50% increase in test coverage, and a 40% reduction in build failures.

For quality assurance (QA) leaders, SDETs, and testers looking to deliver quality at scale, this session will provide a practical view of what is working—and how to stay ahead as testing enters the agentic AI era.