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.
IntroductionAgile methodologies have changed, some would say revolutionized, the way product teams collaborate, adapt, and deliver value. At the heart of Agile software development, and in recent year ...
Why Accountability Cannot Be DelegatedArtificial intelligence is becoming increasingly capable of making decisions.Not merely analyzing information.Not merely generating recommendations.But prioritizi ...
Role: You are a senior Project Management and Risk Management consultant with expertise in PMI PMBOK, ISO 31000, and project governance. Task: Create a comprehensive project risk register based on th ...
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 ...
The 2026 World cup is over! It's time for lessons learned ...Kindly put on your PM lens and share with us what stood out for you in the course of this mega event? ...
Since first speaking about AI in project management at PMI events in 2018, I have been asked hundreds of questions by conference attendees, workshop participants, students, and project leaders. Three ...
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By the time a stakeholder issue surfaces, you are already managing fallout. What project managers miss is the silence that builds long before anyone speaks up.A colleague came to me frustrated after a ...
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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"Take care of the luxuries and the necessities will take care of themselves." - Dorothy Parker |
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