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Artificial intelligence is changing more than the speed of software development — it is changing how Agile teams discover, plan, decide, deliver, and learn.
In this conversation, we explore what happens when AI becomes part of the Agile and Scrum workflow, and why simply adding AI tools isn't enough.

We discuss:
Where AI can genuinely add value across the product development lifecycle
How Scrum Masters, Product Owners, Agile Coaches and teams may need to evolve
Moving from activity management to better decisions and outcomes
AI for discovery, planning, backlog refinement, delivery and learning
What must remain fundamentally human: purpose, context, empathy, ethics and accountability
Why AI output should be treated as an input to the conversation — not the conclusion
How to run small, measurable AI experiments
Measuring improvements in flow, quality and released capacity

The real question isn't simply "How can Agile teams use AI?"
It's:

"How should Agile teams work when intelligence becomes abundant?"
AI is accelerating software delivery, but organizations are also discovering that technology alone doesn't guarantee better outcomes. Recent research and industry discussions increasingly point toward redesigned workflows, evolving roles, verification mechanisms and stronger human oversight.
Whether you're a Scrum Master, Product Owner, Agile Coach, Engineering Leader, Product Manager, Developer or technology executive, this conversation provides a practical framework for thinking about AI adoption without losing the human judgment that makes Agile effective.

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Visit our websites for FREE learning resources -
https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

Connect with our speaker Sudev Sinha - https://www.linkedin.com/in/sudev-sinha-a351047/

Our Host Sanjay Saini - https://www.linkedin.com/in/iamsanjaysaini/

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