Best AI Testing Tools for Jira Service Management

Compare the Top AI Testing Tools that integrate with Jira Service Management as of August 2025

This a list of AI Testing Tools that integrate with Jira Service Management. Use the filters on the left to add additional filters for products that have integrations with Jira Service Management. View the products that work with Jira Service Management in the table below.

What are AI Testing Tools for Jira Service Management?

AI testing tools, also known as AI-augmented software testing tools, are software tools that use artificial intelligence in order to automate the process of software testing and test automation. This type of tool can help to reduce manual labor, increase accuracy, and identify errors. The automation process helps to create detailed reports about the quality of an application or system. These tools can also compare current versions with previous versions in order to identify any regression bugs. Compare and read user reviews of the best AI Testing Tools for Jira Service Management currently available using the table below. This list is updated regularly.

  • 1
    Testim

    Testim

    Tricentis

    Testim is the fastest path to resilient end-to-end tests—codeless, coded or both. Testim lets you create amazingly stable codeless tests that leverage our AI, but also the flexibility to export tests as code. You can leverage Testim’s modern JavaScript API and your IDE to debug, customize or refactor tests. Store them in your version control system to keep them in sync with branches and run tests on every commit. Run parallel, cross-browser tests on our test cloud or Selenium-compatible grids while integrating with your CI and dev tools to run smoke tests on pull requests, end-to-end tests on release candidates, or full regression suites on a schedule. Customers like Microsoft, Salesforce, NetApp, Wix, and JFrog run millions of tests on Testim each month. Learn more on our website and sign up for your free account!
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    Starting Price: $20,000 a year
  • 2
    aqua cloud

    aqua cloud

    aqua cloud GmbH

    aqua is an AI-powered advanced Test Management System designed to make the QA process painless. It is ideal for enterprises and SMBs across various sectors, although aqua was initially designed specifically for regulated industries like Fintech, MedTech and GovTech. aqua cloud helps to: - Organize custom testing processes and workflows, - Run testing scenarios of any complexity and scale, - Create extended sets of test data, - Ensure thorough insights with rich reporting capabilities and - Go from manual to automated testing smoothly. Additionally, it includes a unique feature called “Capture," which transforms the process of documenting and reproducing bugs into a 1-click action. aqua integrates with all the most popular issue trackers and automation tools like JIRA, Selenium, Jenkins and others. REST API is also available. aqua's streamlines testing and saves your QA team up to 70% of time, enabling you to deliver high-quality software and releases x2 faster!
  • 3
    Copado

    Copado

    Copado

    The first DevOps Value Stream Platform for Salesforce. Learn more about Copado’s transformative Winter ’21 release. Copado DevOps delivers a continuous stream of value from your cloud platform to your business’s bottom line. Build release pipelines to deploy Salesforce metadata and seamlessly synchronize all of your orgs. Simplify sprint and feature planning with user stories, epics and integrations with Azure DevOps, Jira and more. Leverage built-in quality gates and testing automation to improve quality and ensure compliance. And do it all on the secure, trusted Salesforce Platform. Measure and monitor with DevOps 360 Analytics and continually improve agile adoption and processes with Value Stream Maps. Our flexible architecture allows you to work with the version control, ALM and automation tools you already use. With the #1 Native DevOps solutions for Salesforce, teams see value in weeks, not months or years.
    Starting Price: $10,000 per year
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