Director, Learning Design & Development| PMIAsheville, NC, United States
Increasingly, project managers are using GenAI to enhance various aspects of their workflows, operate more efficiently, and reduce manual tasks. Examples include task automation, predictive analytics, resource optimization, and data-driven decision making.
As part of PMI’s Learning team, I am interested in supporting project professionals in getting the most out of GenAI. Share out in the comments below, and learn how fellow project professionals are leveraging GenAI!
-How are you using AI in your PM workflows? -What kinds of workflows are you designing that save you significant amounts of time and effort and boost the quality of your work? -What tools do you string together to connect the dots to move from single, one-time interactions with tools like ChatGPT to full-blown, replicable workflows that allow you to spend your precious time elsewhere? -If you’re not yet leveraging AI in your work, what’s stopping you from doing so
Interested in learning more? PMI’s newly released course, Practical Application of Generative AI for Project Managers, explores this topic in more detail. Check out the course to deepen your knowledge, and share what you’ve learned with the PMI community!
-Have you tried any workflows from Practical Application of Generative AI for Project Managers? -What worked for you? -What didn’t work for you? -Have you adapted the workflow in any way? -Feel like sharing your version of the workflow? Do it!
I’ve been integrating Generative AI to streamline documentation, automate project reports, and enhance communication. It helps draft proposals, summarize meeting notes, and generate risk or timeline analyses quickly, allowing me to focus more on strategic decision-making and stakeholder alignment. Saving Changes...
David Enrique Velez BarretoFull-time Student| University of Puerto Rico, Mayaguez CampusMayaguez, Puerto Rico
As a full-time student and aspiring Project Manager, I’ve been actively integrating Generative AI into my learning and project workflows. Through tools like ChatGPT, Asana, and Read.ai, I’ve automated documentation, improved task planning, and simulated real-world decision-making. The Practical Application of GenAI for Project Managers course by PMI strengthened this foundation by showing how to move from casual use to structured, replicable workflows aligned with PMI best practices. The course also helped me develop a personal AI protocol — from defining objectives and choosing the right tools to ensuring data quality and cybersecurity. Seeing real PM examples applying GenAI for predictive planning and resource optimization was inspiring and practical. Overall, this experience reaffirmed the importance of ethical and disciplined AI use, motivating me to continue building intelligent, data-driven project management practices for future professional settings. Saving Changes...
I use Generative AI in my project management work to help organize information, write reports, and analyze feedback from stakeholders. It saves time and helps me focus on planning and communication tasks that need more human judgment. From a work psychology point of view, Generative AI helps reduce mental workload and supports motivation by removing repetitive tasks. It also changes the way teams collaborate and learn, which fits with research in occupational psychology about how people adapt to new technologies at work. Saving Changes...
I use daily GenIA assistants for information summaries and creating documentation to present to stakeholders. I found all the examples in the Practical Application of Generative AI for Project Managers course very useful for taking my AI automations to the next level. Saving Changes...
AI can be wonderful and help create better results in the profession. Like any other area of knowledge, it´s the adaptation of it into the organizational needs and areas of business that may bring the best out of it. To identify and combine the best AI tools, may be in my opinion the answer a organization and a project manager can give for a good outcome through the use of AI without abusing or minimizing human capacity of thinking, working and creating outcomes.
I am using Gen AI in repetitive workflows inside the normal activities that we have in the procurement departments. Regarding this, we are implemeting an AI Agent through Mycrosoft enviroment using various application such us Power automate, Microsoft Azure, Sharepoint, Excel, etc. The main activity for this agent is to help for getting purchases less than 1kUSD. This will impact in the reduction for duration regarding our main workflow. Saving Changes...
Hello Sarah That's really interesting — the meeting summary workflow sounds super useful! Another one I'd love to build is a workflow that scans legal databases to always have an up-to-date list of currently valid laws and regulations. Basically: input a topic / area of law → automatically retrieve & filter only the laws that are still in force (excluding repealed or amended ones) → present them in a clean, structured way (maybe with links, last update date, etc.). Has anyone already experimented with something similar for legal / compliance monitoring using GenAI + some kind of official database access or API? Would be very curious to hear which tools or approaches people are using for this kind of use case. Saving Changes...
Edmund Ayuk Bawak EgbeCheif Executive Officer| Superworld Services LimitedYaoundec, Centre Region, Cameroon
In construction and AECO projects, I use Generative AI as a foresight and coordination layer, not as a replacement for professional judgment. Practically, it helps me to:
Identify risk early by stress-testing programmes, interfaces, and dependencies before they show up on site
Translate scope into clarity by breaking complex designs and contracts into workable schedules, packages, and decision points
Improve stakeholder communication by converting technical updates into clear, role-specific briefings for clients, consultants, and site teams
Support cost and time decisions by exploring “what-if” scenarios around sequencing, resources, and change impacts before commitments are made
The real value isn’t automation of paperwork. It’s reduced rework, fewer surprises, and better-timed decisions. Used properly, Generative AI doesn’t run projects. It sharpens the project manager’s judgment, frees up leadership bandwidth, and keeps teams focused on outcomes—time, cost, quality, and safety. That’s where it earns its place on serious projects. Saving Changes...
Abdullah Al sayedProject Management| (CSCEC) CHINA STATE CONSTRUCTION ENGINEERING CORPORATIONZagazig, Egypt
i wasn't depend on AI before but now, learned to build AI-enabled workflows by arranging Gen AI tasks in specific sequences to achieve project goals more effectively. By automating routine activities, I can now save time to focus on strategic value and project leadership. I also gained critical knowledge on data security protocols and how to maintain quality as a 'human in the loop' at key decision points. Finally, I learned to identify AI's limits to ensure accurate solutions for complex tasks. Saving Changes...
Predrag MarkovicProject Portfolio Manager| Banca Intesa San Paolo - Belgrade officeBelgrade, Serbia
Nov 13, 2024 11:29 AM
Replying to Fabian Crosa
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Artificial intelligence is revolutionizing the way we manage projects. By automating repetitive tasks such as reporting and resource allocation, AI frees project managers to focus on more strategic tasks. In addition, AI can analyze large amounts of data to identify patterns, predict risks, and optimize decision making. For example, it can analyze historical project data to identify causes of delays and suggest preventive actions.
In terms of tools and workflows, AI integrates with popular project management platforms such as Asana and Trello. These tools, combined with language models such as GPT-3, make it possible to create virtual assistants that answer questions, generate reports and automate processes. By connecting different applications and services through automation tools such as Zapier, customized and efficient workflows can be built. However, the adoption of AI in project management can face challenges such as lack of knowledge, costs and resistance to change.
In essence, AI offers great potential to improve efficiency and effectiveness in project management. By automating tasks, analyzing data and improving communication, AI can help project managers achieve their goals faster and more effectively.
I agree, but if I have to be ICT developer to adjust and make this tools relaible and working, and also to check and resume the info and data from AI tools, what assistance is this really? Saving Changes...
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