Quality at AI Speed: Human-Led Testing with Zephyr, ServiceRocket, and Atlassian

AI can ship code in minutes. But it can’t ship trust.

Development is moving faster than ever. With AI generating code at scale, the real challenge is no longer speed. It’s knowing what’s safe to release.

Quality is what separates high-performing teams from risky ones.

In this session, we’ll show how Zephyr’s AI-powered test management inside Jira, combined with ServiceRocket’s expertise, helps QA teams stay confident in an AI-accelerated world. You’ll see how to embed testing directly into your workflows, reduce manual effort, and maintain visibility from requirement to release.

What You’ll Learn

• How to embed testing directly into Jira workflows
• How Zephyr connects requirements, tests, defects, and releases
• Ways to use AI-assisted test creation to improve coverage and reduce manual effort
• How to unify manual and automated testing in one system
• How ServiceRocket helps teams design governance and workflows that scale

Why This Matters

AI is accelerating delivery across software teams. But faster output can quickly turn into higher risk if testing doesn’t keep up.

QA teams are now responsible for more coverage, tighter release cycles, and stronger alignment with business goals. This session focuses on how human testers, supported by intelligent automation, can lead with clarity and confidence.

You’ll see how Zephyr inside Jira, guided by ServiceRocket, enables teams to move quickly without sacrificing trust.