Software quality leaders are under pressure to deliver more with less. QA teams are expected to expand test coverage, reduce release risk, and support faster delivery cycles — all while budgets stay tight. Traditional automation often increases complexity and costs, leaving teams stuck between brittle scripts and ballooning maintenance. In this session, we’ll explore how a low-code, AI-powered testing strategy flips that equation. You’ll see how AI accelerates test creation and maintenance, how low-code tools empower non-technical contributors to participate without sacrificing quality, and how this combination enables you to scale coverage while reducing both cost and cycle time. Key takeaways: Reduce QA costs by cutting test creation and maintenance time while freeing engineering capacity. Expand coverage by enabling non-technical contributors through low-code testing. Balance speed and resilience to deliver faster releases without brittle scripts or costly rework.