AI Builders Workshop Series: Run AI-driven QA inside Jira with Zephyr

AI in QA should reduce the work you manage, not add to it. Join this hands-on workshop to see the AI capabilities available in SmartBear Zephyr today, working inside Jira where your team already operates.

Through real scenarios, you’ll see the Zephyr Agent for Rovo generate test cases from requirements, create and organize them in bulk, and trace coverage back to the work item it belongs to. This keeps a QA engineer in control while removing the manual steps that slow test creation. That traceability is how Zephyr delivers application integrity as your testing system of record.

From there, discover how SmartBear MCP extends Zephyr test data to AI agents and developer tools, so teams building agentic workflows connect coverage, execution, and analysis through one protocol while staying in their existing stack.

You’ll leave knowing how to run AI-driven QA inside Jira with Zephyr, and how to extend it to agentic workflows when your team is ready.