AI writes the tests. Who runs them? Who trusts them? Who approved it?
AI has changed how quickly QA teams create tests, but not how quickly they can run, trust and govern them.
The AI Quality Infrastructure Benchmark Report 2026 surveyed QA and engineering leaders across banking, healthcare, gaming, media and tech, and found an industry past the AI pilot stage but short of a stable operating model. In this live panel, practitioners react to the findings, share where the data matches their own experience and where it doesn’t, and talk through what they would do differently when planning an AI testing strategy for 2026.
Built for QA directors, test Automation leads and engineering leaders.
What you’ll walk away with ?
- How QA teams are really building AI testing today, and what that means for your stack.
- Where the queue breaks between writing tests and shipping them.
- How to tell release confidence built on evidence from confidence built on habit.
- How regulated teams are using AI in testing without breaking their own policies.
- Why AI testing falls short without product context, and why most teams still supply it by hand.
- What a persistent context layer looks like, and why it’s where QA leaders plan to invest next.
- Live Q&A with the panel, plus the full AI Quality Infrastructure Benchmark Report 2026 for every registrant.
