“AI’s output is not the final output—it’s always the two eyes we have that will get us the best results.” – Prabhleen Kaur
Prabhleen brings a timely challenge to the coaching conversation: the impact of AI on teams and how Scrum Masters should navigate this transformation. She frames it as both a challenge and an opportunity—teams are now capable of delivering faster than consumers can absorb, fundamentally changing expectations and dynamics.
Prabhleen has observed her teams evolve from uncertainty about AI to confidently leveraging it for practical benefits. Developers use AI for writing and understanding code, particularly helpful for onboarding new team members who need to comprehend existing codebases quickly. QA professionals find AI invaluable for generating test cases based on story and epic context already captured in JIRA.
The next frontier? Agentic AI, where AI systems communicate with each other to produce better outputs. But Prabhleen offers an important caution: AI is learning from many conversations, not all of which are reliable. The human element—critical thinking and verification—remains essential.
For Scrum Masters, this means facilitating conversations about how teams want to experiment with AI, exploring edge cases in testing that AI can help identify, and helping teams navigate the evolving landscape of possibilities while maintaining quality and judgment.
Self-reflection Question: How are you helping your team explore AI as a tool for improvement while ensuring they maintain critical thinking about the outputs AI produces?
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About Prabhleen Kaur


You can link with Prabhleen Kaur on LinkedIn.



