Successful delivery metrics do not necessarily indicate a successful transformation. Metrics such as milestone completion and AI adoption can appear positive while failing to improve actual delivery outcomes. A four-level framework can help.
Utilize PMI Infinity – PMI’s AI platform – to help you optimize and reach project success. Plus, read the PMI Thought Leadership report GenAI and Agile: Amplifying Human-Centered Collaboration, along with more industry-leading reports! And gain insights from around the world in the Community-led AI in Project Management Report!
Prompt engineering is the process of talking with an AI (like ChatGPT and PMI Infinity) to generate the most accurate and relevant responses. Project managers can design, test, and refine these prompts and use creative and precise language to guide AI models to produce our desired output. Do you have a great prompt (or prompt chain) that you've tested and performs well? Share the wealth with your fellow PMs and add it here. Don't forget to remove any personal or proprietary information before you post.
Did you know PMI Infinity has a library of community generated and vetted prompts? If you would like to submit a prompt to our review process, check out the Infinity Prompt Library to learn more.
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Real examples show how project professionals use AI to save time, sharpen decisions, and improve everyday project work.
Most organizations are not short on AI tools. They are short on the execution infrastructure required to get value from them.
AI is quickly changing how project professionals draft reports, analyze risks, summarize meetings, and communicate with stakeholders. But the real leadership challenge is not simply learning a new tool. It is knowing which parts of the project work can be safely supported by AI, and which decisions must remain firmly in human hands.
In this PMI report, explore how GenAI strengthens agile teams by supporting trust, surfacing risks, and enabling breakthroughs—while keeping human judgment and collaboration at the center of project success.
Technology offers an incredible opportunity to improve project performance. This blog shares the latest research and how organizations are implementing AI into their project methodology. Come with an open mind, increase your knowledge, share your concerns, and become a project manager with new skills to offer an organization.
Can AI replace people? Sometimes. But we invest in project managers for when things aren’t going smoothly. And that’s where they always have—and always will have—value.
It seems as though AI developers are trying to make users so reliant on AI that they look past their reservations. That’s where the true risk is, and where project managers need to push back.
You probably use AI for task-level improvements. But your greater opportunity is to use it to manage the entire flow of project information: from meeting to analysis to stakeholder communication to leadership action. Here's how.
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One of the major AI engines just announced that it was embedding a watermark into every piece of content that it produces. This is very good news for project managers and the world at large, a step toward responsible AI.
AI should be used to amplify our skills and experience. Instead, it is too often being used as a replacement. Not supplementing our skills and experience, but substituting them for its own version of the truth.
Risk is an area where artificial intelligence has a lot of potential, and where it can do at least as good a job as people without much effort. But it’s not a silver bullet solution.
AI is powerful, but it only works as well as the experience of the person using it. This practitioner has learned through experience that even with advanced tools, judgment remain critical to achieving the right results.
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"I find that the harder I work, the more luck I seem to have. " - Thomas Jefferson |
