AI-Driven Automated Testing
Using AI for automated user interface testing if plagued with problems from reproducabliity to data availability to false negatives.
By integrating AI into an upgraded Marionette architecture and combining it with TurboQuery and Carbon we are able to deliver test creation at scale. By breaking the test process into phases and having AI follow coding and architecture guidelines, we can get tests that are quick to create, easy to maintain, and reliable.
Marionette then acts like a team of testers running in parallel—executing workflows, entering data, and validating outcomes with minimal manual effort.

Tailor Marionette to Your Needs
Marionette’s automation toolkit is used by software developers and SDETs to design and generate tests, while the Marionette platform enables QA and stakeholders to monitor execution, analyze results, and triage failures. AI-assisted workflows can be adapted to your domain, and Marionette integrates seamlessly with your existing ALM and CI/CD toolchain.
Marionette in Action
Marionette combines AI-driven test creation with a robust toolkit and industry-standard best practices for CC&B and MDM. Users can automatically discover workflows, generate maintainable test suites, execute at scale, triage failures, and present results clearly to business and technical stakeholders.

The Marionette End-to-End Process


