Cut QA Costs, Not Coverage: How Low-Code + AI Accelerate Testing at Scale

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.