Testsigma Copilot
GenAI Assistant for QA teams

With the evolution of generative AI and machine learning models, QA teams can test continuously as much as possible and ensure product quality. Some of the top use cases for AI in test automation include automated test case generation, test data generation, visual testing, simplifying test maintenance, predictive analysis, etc.

In Testsigma, Artificial Intelligence(AI) in test automation is used in three areas primarily - creating low-maintenance tests in plain English using natural language processing; using smart locators to identify elements even when changes are made to the application; helping debug issues faster with suggestive actions on failed tests.

Some benefits of using AI in test automation include increased test coverage due to the pace of tests created, faster test execution, reduced maintenance efforts, and overall enhancement in quality.

Testsigma Copilot is a GenAI-powered assistant built into Testsigma’s low-code test automation platform. Powered by advanced Large Language Models (LLMs), Copilot empowers QA teams to generate test cases from various sources, ensuring improved productivity, reduced test automation efforts, and comprehensive test coverage.

GenAI improves the productivity of QA engineers, helping testing teams create more automated tests, even faster. Testsigma applies AI across the full testing process such as creating automated functional tests from requirements or design to improving automated test coverage, etc. It removes bottlenecks and makes testing easier.