Fast, Smart… and Fragile? Rethinking Testing Leadership in the Age of AI
AI is accelerating testing at a pace we've never seen before. Teams are generating tests faster, analysing results quicker, and shipping at unprecedented speed.
But beneath this progress lies a growing leadership challenge.
As AI takes on more of the work, decision-making becomes less visible, ownership becomes blurred, and risk begins to scale in ways most organisations aren't prepared for.
This talk explores what it really means to lead Quality Engineering in the age of AI, where speed is easy, but sound judgment is harder than ever.
Through real-world examples and practical leadership frameworks, we'll uncover how to balance automation with accountability, protect critical thinking in teams, and build testing organisations that are not just faster, but stronger, more resilient, and trusted.
Key Takeaways:
AI speeds up testing, but also increases hidden risk.
Not everything should be automated, some decisions must stay human.
Over-reliance on AI can weaken team thinking and capability.
Clear ownership and oversight are critical in AI-driven environments.
Strong leadership matters more than ever to balance speed, risk, and trust.
About the speaker
Laveena Ramchandani:
Laveena Ramchandani is a passionate Test Manager who has been testing for nearly 10 years and is always seeking to learn and share. She is a community leader for data science testing and testing in general. Her entry on the digital platform has enhanced many individuals to learn a new area within testing. Laveena was a finalist for The Digital Star 2022 at the everywoman in Technology awards. She has also been featured on various podcasts and blogs, trains new testers, is a former BCS committee member, and is an international speaker.
About
TestMu Conf
Testμ (TestMu) is the world’s largest virtual conference on agentic engineering and quality, built by the community, for the community. As AI reshapes how we build, test, and ship software, Testμ Conf is where you connect, grow, and lead: agentic workflows, autonomous quality, battle-tested AI playbooks, hands-on workshops, and the engineering culture driving it all.
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