I will use AI to handle repetitive or straightforward tasks that do not require deep analysis. This allows for faster turnaround while freeing up time to focus on high-impact work that requires careful judgment and attention to detail. Saving Changes...
Integrating AI into Agile delivery must complement—not replace—human collaboration. While AI drives significant operational efficiency by synthesizing large datasets and identifying hidden patterns, human teams retain exclusive ownership over strategic decisions, empathy, culture alignment and accountability. Navigating this integration successfully requires clear structural guardrails to maintain agility, psychological safety, and product quality. Saving Changes...
Yasser GaafarConstruction Manager| Aguas de Valencia Internationa
thanks Saving Changes...
Andrea De RuiterStrategic Advisor | AI-Driven Transformation | Decision Architecture™| ADR Digital Business - Strategy and beyondFriedrichshafen, BW and Munich, BY, Germany
Agile teaches us to value people and collaboration over processes and tools.
AI doesn't change that principle—it raises the stakes.
The question isn't whether AI replaces collaboration. The real question is how organizations design decisions around AI.
I've seen AI strengthen teamwork when it: • creates a shared understanding instead of multiple interpretations • makes assumptions and trade-offs visible • gives teams more time for judgment, creativity, and problem solving • supports better conversations rather than providing "the answer"
I've also seen the opposite happen when AI becomes a substitute for discussion instead of an input to it. In my view, AI should reduce the time spent searching for information—not the time people spend thinking together.
That's why I increasingly see Decision Architecture™ as the missing layer. Great teams don't collaborate simply because they use Agile practices. They collaborate because they create an environment where humans and AI contribute different strengths to better decisions.
AI can generate options. People create alignment.
That's the combination that builds stronger teams. Saving Changes...
Anonymous
The topic is engaging and highly relevant to the current discussions surrounding artificial intelligence. I believe that AI should be viewed as a human assistant rather than a replacement. It helps reduce people’s workload by handling repetitive and time-consuming tasks, but it cannot replace human creativity, judgment, and expertise. One way to make AI a partner instead of a substitute is to assign it routine tasks under human supervision. This allows people to spend less time on simple tasks and more time developing ideas, solving problems, and being creative. In other words, AI can reduce the time spent on a task while allowing humans to focus on the value of their ideas. A good example is my own experience. I do not speak English fluently, but AI helps me translate my thoughts into another language. Instead of spending a long time searching through a dictionary, I can simply explain my idea, and AI helps me express it accurately with very little effort. This saves time and lets me focus on communicating my ideas rather than struggling with the language itself. I will continue reading more about this topic to deepen my understanding and learn even more. Thank you very much. Saving Changes...
For many, Artificial Intelligence is still seen as an inevitable future. Yet the reality is that AI is already a part of our everyday lives, an extension of humanity’s enduring pursuit of knowledge, efficiency, and innovation. In project management, the question is no longer whether AI has a role to play, but what role we choose to give it. While projects will always rely on human vision, leadership, and judgment, AI offers a powerful complement—analyzing data, anticipating risks, automating routine tasks, and freeing project managers to focus on strategic decision-making and team engagement. The true opportunity lies not in replacing human intelligence, but in creating a partnership between human insight and artificial intelligence, transforming project management from a discipline of coordination into a discipline of foresight and value creation. Saving Changes...
I would look at the usage of AI to generate ideas, get suggestions or summaries, personas, and backlog refinements. Ensure that the outputs provided by AI are being validated with the stakeholders and subject matter experts. As individuals, we should handle decision-making and approvals. Always ensure there is team collaboration and transparency. Saving Changes...
Anil RahejaProject Manager| Tadweer GroupAbu Dhabi, United Arab Emirates
It's the ultimate paradox, isn't it? Bringing a machine into a philosophy that is entirely about human connection. To keep AI from eroding teamwork, you have to treat it as a collaborative teammate, not a replacement for human conversation. If a tool results in people typing more and talking less, it’s violating that core Agile value. Use it to clear the busywork so the team can actually collaborate on the complex, creative stuff. 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?
Thank you for giving us your experience. I myself think that AI could help a lot on agile projects but not everything because human who use AI so must thing and thing again without taking the AI results to made the final decision. Saving Changes...
The Agile process is built on the principles of the Agile Manifesto which values individuals and interactions, working software, customer collaboration and responsiveness to change.
Within this framework, AI should be treated as an assisting team member - supporting developers, Project Managers/Scrum Masters and Engineering Managers, rather than as a replacement. For example, AI can enhance story estimation during sprint planning by providing contextual insights, while final decisions remain grounded in team discussions and consensus.
AI can also help resolve critical impediments by suggesting solutions, the proposed solution can be discussed by team for a final solution. Resources using AI to resolve critical impediments should present both the impediment and the proposed solution for team review. Combining human judgment with AI assistance ensures more effective outcomes. In this way AI will be an assistant rather than replacement.
By reducing delivery time and overall project costs, AI creates opportunities to reinvest in efficiency. Organizations may choose to allocate part of this savings toward integrating AI as a formal assistant in the project deliverables.
Most importantly, the use of AI should be explicitly defined within the Agile process, with clear workflows and roles that position AI as a supportive tool. Since Agile emphasizes collaboration among team members, stakeholders and customers, AI must be aligned with this principle, serving as an enabler of collaboration, not a substitute for it. Saving Changes...
PMI Team Member
