With the rise of generative Al in the last 18 months, organizations on every level have seen deep opportunities to improve their IT processes from a rapidly growing number of new tools. According to recent research from McKinsey, nearly 25% of C-suite executives are personally using generative Al tools for work, and more than 25% of companies using Al say generative Al is already on their boards' agendas for the upcoming year.

Generative Al, and what it can help software delivery teams accomplish, is evolving fast. That makes it important for everyone whose role touches quality engineering to understand the implications for how software is built and tested.

In this guide, we'll share four ways generative Al can boost your IT and quality engineering teams' testing efficiency and how test management will evolve as a result, namely by:

• Accelerating test case generation
• Scaling test coverage
• Tailoring test plans
• Analyzing and improving test case libraries