Ai can never be a replacement because it is a support and change initiative that still needs human to take decisions. Saving Changes...
Lo Wai MunITD Consultant (Project Management)| GovTechSingapore, Singapore, Singapore
AI should help us, not replace us. Use AI to write drafts, summarize notes, and suggest ideas. However, the human team must make the final choices on estimates, priorities, and retrospectives. Treat AI's answers as a draft guide that requires further research and verify it's accuracy and factual..
We still need to talk to each other, work together, and share responsibility. Let AI handle the heavy research, analysis and and run certain agentic tasks, so we can leverage the speed of AI and human judgment. Thanks Saving Changes...
Sachin SharmaProgram Manager| Mavenir Systems GmbHBonn, Germany
I believe AI should support agile teams by providing insights, identifying patterns, and reducing repetitive work, while humans remain responsible for decisions and collaboration. Using AI as a partner can help teams learn faster, improve communication, and focus more on delivering value to customers. Saving Changes...
Use AI to handle repetitive administrative tasks so team members have more time for face-to-face collaboration and decision-making. For example, let AI automatically draft initial user stories from user feedback, while the team meets to discuss, refine, and estimate them together. Saving Changes...
Adriana Correa GuarÃnProfesional Especializado| AlcaldÃa Mayor de BogotáBogotá, Cundinamarca, Colombia
Oct 07, 2025 9:58 PM
Replying to Lissette Indhira Pimentel Sosa
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Great example, Fabian. Change resistance often reveals more about fears than facts, people fear loss of control or relevance. I’ve found that mapping emotional stakeholders early and involving them as “change partners” helps transform resistance into advocacy. Transparency, small wins, and visible sponsorship make adoption natural rather than forced. It’s not just managing change, it’s guiding people through uncertainty with empathy and structure.
I see AI as my co-pilot, while I remain the pilot. AI helps me ask better questions, explore ideas, receive feedback, and access information. However, I determine the destination. I make the final decisions about which information is relevant, how it should be interpreted, and how it should be structured and applied to achieve the outcomes I want. AI is here to stay, but it is our responsibility as humans to understand how and where to use it wisely. We must also continuously question, critically evaluate, and verify the information it provides rather than accepting it at face value. Saving Changes...
Dr. Sarmed JassimCo-Founder & Director| Legacy Crafters LtdLondon, Surrey, United Kingdom
A very interesting and useful PMI course. It introduced practical AI tools that can help teams save significant time and effort in their daily work. I particularly appreciated the real-world examples and useful resources shared throughout the course. I already use several AI tools in my work, and they have saved me a considerable amount of time on daily tasks. This course has given me additional ideas on how to use AI more effectively within Agile teams and project management. Saving Changes...
Keeping AI as a partner (not a replacement) requires more than technical safeguards.
It demands human intention, clarity of purpose, and relational maturity.
Agile values individuals and interactions, not out of nostalgia, but because real value creation happens in living ecosystems, where trust, empathy, and shared learning are irreplaceable.
In my practice, we treat AI as a team member with a defined role, clear boundaries, and ethical purpose.
Not a “technical miracle,” but a cognitive collaborator, serving the team’s collective intelligence.
AI can:
- Speed up backlog grooming, but it does not decide what matters to the customer.
- Detect patterns in retrospectives, but it doesn’t replace honest dialogue.
- Suggest technical improvements, but it must never silence team voices.
Real-world example:
In a recent project, we used AI to synthesize scattered stakeholder feedback before a critical release.
AI revealed useful patterns, but it was the team, through open discussion, that decided what to prioritize.
AI proposed.
The team decided.
Purpose guided.
This triad is central to our regenerative decision-making model (RCPCV™):
AI proposes | Team decides | Purpose guides
Here lies the ethical boundary:
- If AI doesn’t build trust, doesn’t stimulate dialogue, and doesn’t respect shared vision -
then it’s not collaborating. It’s automating.
And Agile is not about automating interactions.
It’s about growing together with awareness, responsibility, and purpose.
How are you integrating AI into your Agile teams without losing what makes us human?
AI should support people, not replace collaboration. Teams can use AI to automate repetitive tasks, share insights, improve communication, and make better decisions together, while keeping human judgment, creativity, and feedback at the center of Agile teamwork. Saving Changes...
Using AI as a support, not as a substitute: facilitating communication, automating repetitive tasks and enhancing decision making without replacing human interaction. Integrating it as a collaborative tool, not as a protagonist.
I use AI to support my daily work, mainly for organizing information, improving communication, and saving time on repetitive tasks. I still rely on my own judgment, experience, and understanding of the project when making decisions. For me, AI is a tool that helps me work more efficiently, not something that replaces my role. Saving Changes...
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