Keynote: The Next Era of AI: Moving from “Can We Build It?” to “Can We Trust It?” | TestMu 2026
Every business wants to show that it's 'doing AI', so they're rushing towards the technology before they've settled on the outcome. Leaders are being swept along by a flood of vibe coding, pilots and proof-of-concepts, without a clear destination. The question is no longer "can we build it?" but "can we trust it?"
To build this trust, Andrew Duncan, CEO of QualityAI, will explain why quality engineering and assurance now belong at the very start of the transformation process, rather than as boxes to tick at the end.
Because when AI has the capacity to interpret, adapt, and drive business decisions, quality engineering must evolve – not only to test that technology works, but that it supports business outcomes, and continues to do so without drifting.
As leaders reach for what's next, the ability to engineer quality is what builds confidence. And that confidence is what lets them move fast.
Know what level of risk you're willing to accept.
Have a clear business outcome you want to achieve using AI.
Don't mistake a successful pilot for readiness to go into production.
Bring in quality engineering from the start, so you know upfront what evidence will earn trust.
Understand how you'll measure quality long after a solution is live.

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