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AI in Qase

Updated today

AIDEN is Qase's built-in AI assistant for test management. It helps you generate manual test cases from requirements, identify which tests are worth automating, convert manual tests into automated scripts, and execute them in the cloud, without maintaining your own test infrastructure.

Overview

AIDEN is not a single feature, it's a set of capabilities woven into the Qase workflow. Each capability handles a different stage of the testing lifecycle, from writing test cases to running them at scale. You interact with AIDEN directly inside your project repository; there's nothing to install or configure separately.

All AIDEN capabilities consume credits from a shared monthly pool. If your credits run out, AIDEN features become unavailable until the next billing cycle.

Credit system

Every AIDEN action, generating a test case, analyzing automation readiness, executing a cloud test run, costs credits. Your workspace receives a monthly allowance based on your plan:

Plan

Monthly credits

Startup

1,000

Business

2,000

Enterprise

4,000

Credits reset at the start of each billing cycle. Unused credits do not roll over. You can check your remaining credit balance in Workspace settings β†’ AIDEN.

Capabilities

Capability

What it does

Generates manual test cases from requirements or linked Jira/GitHub issues

Analyzes your test cases and scores their automation readiness

Converts manual test cases into automated test scripts using natural language

Exports automated test code into frameworks like Playwright, Cypress, and Selenium

Runs automated tests in Qase's cloud across multiple browsers

Manages target URLs and authentication credentials for cloud test execution

Enabling and disabling AIDEN

AIDEN is enabled by default on paid plans. Workspace owners and administrators can disable all AI features from a single toggle in workspace settings. When disabled, AIDEN capabilities are hidden from the UI for all users.

For granular control, you can also restrict specific AIDEN capabilities per role using role-based access control.

Data privacy

Your data is not used for model training. Qase processes your inputs solely to generate results within your workspace. No test data, requirements, or credentials are retained beyond the immediate request.

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