AI Workspace + Jira: Increase Jira test coverage with agentic workflows

Requirements change in Jira all the time, and QE teams have to catch every edit to update their test cases.

Connect Tricentis AI Workspace agents to Jira and qTest, so any requirement change generates and updates test cases for you with the right context.

In this walkthrough, Senior VP of Product Marketing Ryan Yackel, will show you how a Jira edit triggers an agentic workflow, pushes test requirements into qTest, and creates test cases with a human-in-the-loop checkpoint.

Key highlights:

• Monitoring Jira: Run a Jira monitoring agent that watches requirements for changes.
• Triggering on an edit: Make a small description change in a ticket to kick off the workflow automatically.
• Pulling the changes: Review the execution timeline as agents pull the description, related issues, and comments.
• Checking the agents: Use a human-in-the-loop step to confirm the correct requirements and projects.
• Generating test cases: Create test cases with names, steps, and expected results in the qTest test design tab.

Get a demo of AI Workspace: https://bit.ly/4zfWndz