Autonomous application exploration
AI agents navigate the live product and investigate workflows, buttons, and features without requiring predefined test steps or manually maintained selectors.
Aurick is an autonomous AI QA engineer for teams that need to explore web applications, generate and execute tests, identify bugs, and review evidence without writing or maintaining test scripts.
Aurick is an autonomous AI QA engineer that explores live web applications, generates test cases, runs them, detects issues, and produces QA reports. It replaces manually scripted test setup with AI-driven interaction that follows user journeys and adapts its testing decisions as it encounters the application.
The service covers functional workflows and selected visual checks, including forms, menus, modals, conditional popups, dynamic dropdowns, autocomplete fields, and multi-step journeys. Results can include pass/fail details, logs, screenshots, browser snippets, playback recordings, reported bugs, and coverage insights.
Aurick is intended for teams that want to reduce repetitive test execution and maintenance while retaining visibility into what was tested and why a scenario failed. Users can ask the agents to expand coverage, create negative tests, explain reported bugs, or rerun failed scenarios.
AI agents navigate the live product and investigate workflows, buttons, and features without requiring predefined test steps or manually maintained selectors.
Aurick builds test cases from the journeys it discovers, including multi-step workflows and scenarios that can be extended with additional or negative coverage.
Generated tests run through real user interactions such as clicks, scrolling, form entry, modal handling, dropdown selection, and checkout-style workflows.
The service reports functional failures, broken flows, missing elements, failed API responses, unexpected redirects, unhandled errors, and certain UI or layout anomalies with contextual testing evidence.
QA results show tested scenarios and pass/fail outcomes, with logs, screenshots, browser snippets, and playback recordings available to help teams review failures.
Multiple AI agents can generate tests, interact with the product, identify issues, and report results in parallel to expand testing activity without multiplying manual execution work.
Teams can rerun existing scenarios after releases or UI changes and ask Aurick to retest failed cases, reducing the need to update brittle scripts by hand.
Product and QA teams can assess flows such as onboarding, form submission, and checkout, including validation across several screens or actions.
When a workflow has limited predefined coverage, Aurick can explore the application, discover test cases, and identify unexpected behavior around controls and conditional states.
Teams can evaluate menus, modals, alerts, toasts, dynamic dropdowns, autocomplete fields, and layout behavior as users encounter them.
After an issue is reported, users can inspect the recorded steps and evidence, then question the agents about what happened and why the scenario failed.
No. Aurick’s site states that it works without test scripts, recordings, predefined steps, or manually defined selectors. Its agents navigate the application and create tests from the workflows they encounter.
The product describes detection for functional issues, broken user flows, missing elements, failed API responses, unexpected redirects, unhandled errors, overlapping elements, broken layouts, missing buttons, and other visual anomalies.
Results can include test pass/fail details, step logs, screenshots, browser snippets, playback recordings, reported bugs, and coverage insights. The exact reporting capabilities vary by plan.
Yes. The site describes testing for multi-step workflows, end-to-end journeys, forms, conditional modals and popups, dynamic dropdowns, autocomplete fields, and flows such as onboarding through checkout.
Yes. The pricing page lists Explorer, Pro, and Team paid plans, as well as a custom Enterprise option. Limits and capabilities differ by plan, including test generation, executions, projects, reporting, support, and collaboration features.
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