Enterprises are racing to bolt AI onto their QA pipelines, but automation only amplifies what’s underneath it — good test design or bad. According to Gartner Peer Community research on automated testing adoption, struggles with implementation (36%), automation skill gaps (34%), and high upfront costs (34%) remain the top barriers organizations face when scaling test automation, and nearly a quarter cite hard-to-define ROI as a persistent challenge. The common thread across these numbers isn’t the tooling — it’s the functional testing foundation automation is built on.
Join ImpactQA for a practical session on why AI-assisted testing cannot compensate for weak functional test design, and how to build a scalable, risk-based functional-to-automation strategy before layering AI on top.
Key Takeaways
- Understand why functional testing gaps – not automation tooling – are the real reason automation initiatives fail, and how weak business-process validation lets those gaps slip through undetected.
- Apply risk-based test prioritization to focus effort where failures actually matter, instead of chasing coverage percentages.
- Get a practical framework for choosing the right automation candidates – built on solid test case quality – while avoiding automation of unstable, frequently changing scenarios.
- Cut automation maintenance overhead and flaky, false failures that quietly erode automation ROI over time. .
- Understand why testing demand is rising even as teams automate more – AI is accelerating software delivery, but verification isn’t keeping pace. As teams ship more AI-assisted code, the challenge is no longer simply testing more, it’s validating critical business workflows, integrations, edge cases, and real-world behavior that automated checks can miss.
- See a clear, grounded path for transitioning toward AI-assisted testing – once the functional foundation is strong enough to actually support it.
Why Attend? .
Whether you’re scaling automation, struggling with flaky tests and maintenance overhead, or under pressure to “add AI” to your QA strategy, this webinar will help you separate genuine testing maturity from automation for its own sake — and build a functional foundation that AI-assisted testing can actually build on.