How the UTS Test Chapter turned AI from pilot to practice: the playbook, the pitfalls, and what’s next for Test Engineering…

In the last year, UTS’s Test Chapter moved from small AI experiments to a repeatable operating model: use cases, prompt playbooks, pitfalls, and measurable outcomes. This is a practitioner’s journey. No hype. No sales. We’ll share our “start to scale to systemise” journey, from where we started, what we tried first, what worked, what didn’t, what AI tools we use to get the best out of our tech stack, some leadership moves to engage your SLT, and how we balance risk with velocity. Expect practical patterns, real metrics, and a roadmap of how your Testers can adopt AI for a consistent, Chapter-wide impact, and beyond. We’ll look at how AI can amplify your Testers, as well as a candid look at the current limits. We’ll finish with a forward view of where Testing is heading, and what skills your Testers need next. AI won’t replace Testers, but Testers who use AI will replace those who don’t.

Top 3 Key Takeaways: (i) Start small, start local; (ii) Capture your metrics; (iii) demonstrate concrete value.