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How are you using AI in your agile work?

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Michael Brinn
PMI Team Member
Product Manager, Learning| PMI Denver, Colorado, United States

Which agile activities—like retrospectives, backlog refinement, sprint planning, customer feedback analysis, or market analysis—have you found AI to support most effectively?



Have you tried a small experiment that delivered quick wins or learned a lesson that might help others in the community? Share your examples in the comments below!

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Umamaheswara Rao Thota Director - Program Management| NTT India Pvt Ltd Mumbai, Maharashtra, India
I am into Infra projects and not used Agile framework as these projects run on fixed price contracts. So we are into waterfall methodology.

Iam keen to learn use case for Waterwall methodology.
I find AI most effective in backlog refinement, sprint planning, risk identification, and customer feedback analysis. I have experimented with using AI to summarize project updates, identify potential risks, and organize action items, which helps save time and improve decision-making. One key lesson is that AI can improve efficiency, but human validation and team collaboration remain essential for successful delivery.
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Ahsan Mustafa Senior Project Management| Construction Designs & Logistics Solutions Islamabad, Pakistan
Sep 07, 2025 8:58 AM
Replying to Sergio Luis Conte
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AI is a board term. Organizations are using AI supporting agile approach from more than 40 years ago. Just to remember, agile is not about to use a method, is not about creating software products, things like that. Agile was defined in 1990 to be used in manufacturing. Now, with the publishing of generative AI in 2017 and associated tools like ChatGPT you can use "the universal knowledge and practice" to create artifacts that match for the agile based method you are using to create software products. Scrum for example. The only thing you need to do is to use the right framework: https://www.linkedin.com/posts/khizer-abba...607471104-Jv76/ asking ChatGPT (for example, or others) to create the artifacts and do not forget to use the same frameworks to do things like consistency and trust checking. With all that said, remember the impacts to do not use Responsible AI frameworks and mainly always remember: human in the loop is the key success factor when use AI.


 

 


 

 

Excellent perspective , I believe AI has the potential to enhance the application of Agile principles beyond software development particularly on construction infrastructure, engineering and supply chain management. Real value of AI lies in its ability to support project teams in development, improve planning, risk assessment and documentation. But AI should remain an enabler rather than replacement for professional judgements, experiences and accountability.
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