You Deployed AI; You Never Onboarded It
Your newest team member has no job description, no manager, and no probation period. And it is already sending work to your stakeholders.
Your newest team member has no job description, no manager, and no probation period. And it is already sending work to your stakeholders.
For years, effort was relatively predictable in story points. AI is starting to change that. That creates an uncomfortable question for agile teams: If story points are meant to represent effort, what happens when effort suddenly becomes harder to define?
The World Cup has thrilled a global audience with amazing feats of athleticism and jaw-dropping comebacks. But did you know it's also the perfect showcase for agile project delivery?
To be optimally effective, AI tools need to consume massive amounts of historical data as part of their training, learning how organizations works so that they can provide the most appropriate guidance. Is your historic data at least reasonable?
ProjectManagement.com presents a full day of live learning, practical takeaways, and on-demand resources to help you build AI confidence—and earn PDUs along the way.
This growing collection of enterprise agility content—including executive interviews, thought leadership articles, blogs and webinars—explore what it takes to lead, enable and sustain agility across the enterprise.
Hi community,Would someone can help me finding a template for a production activity that is scheduled over 3 weeks and for which I need a granularity at the hour level? Many thanks for your support ! ...
Agile values people and collaboration over processes and tools. How do you ensure that AI strengthens teamwork instead of taking it away? ...
Few PMO heads openly admit this.However, there is a significant difference between controlling projects and improving the organization's ability to deliver value.Many PMOs confuse these things.The das ...
Happy AI Appreciation Day! Today is a great reminder that learning about AI is an ongoing journey. New capabilities, use cases, and best practices are emerging all the time, making continuous learning ...
Over the past 25 or years, "Agile" has meant different things to different people, companies, associations, etc. This high variability dilutes the clarity and the value for whatever "agile" is trying ...
Designing Governance That Allows Reality to Challenge the SystemEvery governance architecture shapes how an organization understands reality.It determines what deserves attention.What becomes strategi ...
For decades, organizations have largely been governed around a simple assumption: humans make decisions, technology supports them, and governance exists to coordinate that relationship.That assumption ...
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 t ...
PMI interviewed executives from a range of industries about how AI is changing the way organizations operate and what it means for enterprise agility. Their perspectives reveal how AI expands what agile organizations are capable of achieving.
Following the webinar “From Learning to Practice: Applying the CPMAI Methodology on Real-world AI Projects,” PMIxAI Ambassadors Yahiro Takegami and Jung Soo Kim share how they apply the CPMAI methodology in their everyday work—and what they have learned along the way.
Two powerful forces are reshaping how organizations design and deliver projects: artificial intelligence and sustainability. Increasingly, leaders refer to their convergence as twin transformation—the coordinated integration of digital innovation, particularly AI, and sustainable development objectives to drive long-term value creation.
Project managers are no stranger to feedback. Some of it is positive, some more constructive. But how can we take what we hear and actually do something about it? Keep these seven tips in mind.
PMs need to connect delivery to higher business goals. Knowledge of your organization’s business strategy shapes how you facilitate decisions and communicate alignment. Fortunately, you can build this capability without formal training.
An unexpected problem at an office led to one of the most valuable skills a project manager can develop: knowing when to stop negotiating among competing interests and start reframing the problem itself.
To better understand the systems behind enterprise agility, PMI interviewed executives from a range of industries about the structures and capabilities that enable organizations to adapt. Their perspectives reveal that agility is built through intentional design.
The industry mourns Robert “Max” Wideman, a beloved PMI Fellow, early leader in the PMI community, and trailblazer whose impact was deeply rooted in advancing project management knowledge.
Managing AI projects without understanding AI can create uncertainty, misalignment, and risk.AI literacy enables project managers to plan realistically, manage risks effectively, collaborate with AI teams, and deliver meaningful business outcomes. “AI Literacy for Project Managers” is designed for PMs leading—or preparing to lead—AI-driven initiatives.
In this interview, Johan Roos frames enterprise agility as a matter of change readiness, rooted in people’s capabilities. He emphasizes leaders’ role in modeling desired behaviors while noting that everyone must build the curiosity, creativity, critical thinking, communication and collaboration needed for continuous change. Roos also discusses AI as a tool to amplify human judgment and concludes that agility requires stronger collaboration across interconnected ecosystems.
Many organizations are experimenting with AI, but only a small number successfully move beyond pilots into measurable enterprise impact. AI initiatives often stall because project teams focus on the technology while underestimating governance, data readiness, stakeholder alignment, risk management, change adoption, and value realization.
**PMI Led Webinar** As the first and only global standard for AI in portfolio, program, and project work, "The Standard for Artificial Intelligence in Portfolio, Program, and Project Management" (PMI 2026) gives project professionals a practical foundation for applying AI responsibly. This webinar will help attendees understand the Standard’s guiding principles, performance domains, and applied use cases — and how to use them to bring more structure, accountability, and confidence to AI adoption. The Standard for Artificial Intelligence in Portfolio, Program, and Project Management - https://www.pmi.org/standards/artificial-intelligence
To its proponents, there is very little that artificial intelligence can’t do. In those areas where there are limitations and constraints, the expectation is that they will be overcome exponentially quickly. We are told that automation fueled by artificial intelligence will fundamentally remake and reshape the work place.
Designed for leaders responsible for outcomes, not experiments, this session reframes AI implementation as an execution and change problem—not a technical one—and offers a practical way to move from ambition to impact without unnecessary complexity.
Artificial intelligence is rapidly reshaping how organizations deliver projects, make decisions, and manage risk. This webinar explores the emerging discipline of AI governance and its practical implications for project managers, PMOs, and business leaders.
This session explores what responsible, systemic leadership looks like in a complex Changing World.
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"All generalizations are dangerous, even this one." - Alexandre Dumas |
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