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What successes have you experienced with Generative AI?

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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
Have you experienced wonderful, potentially unexpected successes using Generative AI in your projects? 

I'm eager to hear about the innovative outcomes you've achieved with Gen AI, and how data played a role in these ventures. 

What challenges did you encounter, and what benefits did you realize in this process?
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Shradha Khadka Falls Church, VA, United States
Nope, we are limited to Box AI and Copilot. We haven't been allowed to use Generative AI for office.
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Lee Okombe Nairobi, Nairobi, Kenya
Jan 07, 2024 3:09 PM
Replying to Shashank Patel
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On personal level, it has increasing efficiency and improving quality of documentation. It is great tool while conducting research online since it can provide summaries or point out more accurate subset of information.

At Organization level, it has been extremely efficient. Generative AI is used for wring DIR to perform user acceptance testing and producing outcomes which are easy to understand for stakeholders at all levels.

I have benefited from using generative AI in improving efficiency of generating documents and communication. I look forward to using them more in predictive and decision making scenarios.
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Jeff Meeks InfoZen Glen Burnie, Md, United States
Data must be evaluated carefully to ensure that all biases is not injected into the results. Security is important to prohibit malice from compromising data integrity. While there is value in exponential increase in processing time but careful thought must be utilized to deliver intended results
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Shiva Kulkarni PM Specialist| MNP Vancouver, Canada
There have been some beyond the expectations outcomes of integrating GenAI in my professional projects and work environments. skimming through large sets to data, recognizing patterns and connecting the dots by scanning huge amounts of enterprise information without the risk of security breach is a standout feature of copilot enterprise version. Potential challenges that one could encounter are knowing the correct way of providing the input the derive the quality output. Garbage in Garbage out has to be eliminated efficiently. prompt engineering and its impact.
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Anonymous
As a PM who is relatively new to AI, these modules are very informative, providing insight and knowledge. I am excited to continue to learn.
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Richard Mohr Hawthorne, NJ, United States
I'm still learning how to use Gen AI but so far my experience has been good.
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Richard Mohr Hawthorne, NJ, United States
I'm still learning how to use Gen AI but so far my experience has been good.
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David Enrique Velez Barreto Full-time Student| University of Puerto Rico, Mayaguez Campus Mayaguez, Puerto Rico
Using Generative AI to develop and analyze the Gantt Chart and Critical Path for an Industrial Management project led to unexpectedly strong results. The AI helped transform raw project descriptions into structured task hierarchies, estimate durations based on historical data, and automatically visualize dependencies. As updates occurred, the system recalculated the critical path in real time, improving accuracy and reducing total project duration by around 12–15%. Data integration — especially cycle times and resource utilization metrics — made the scheduling process more precise and dynamic.
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1 reply by Gurmeet Singh
Nov 02, 2025 8:19 PM
Gurmeet Singh
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Hello David,
Good to know that you achieved great success with Gen AI. Could you please share which Gen AI you have used, and what kind of historical data you have used as input? And which field are you working in? I am trying to do a similar thing in the construction sector. The problem is that the interdependencies are too much in the construction sector, and the schedule is also very complex. Maybe I can learn from your output.

Thank you

Regards
Gurmeet SIngh
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Paulette Soto Project Manager| Government Florida, United States
I utilize AI to assist in creating documents that require approval from higher management. Occasionally, I make adjustments at the end to ensure the accuracy and clarity of the content without altering the intended meaning.
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Gurmeet Singh Reno, Nevada, United States
Nov 02, 2025 4:48 PM
Replying to David Enrique Velez Barreto
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Using Generative AI to develop and analyze the Gantt Chart and Critical Path for an Industrial Management project led to unexpectedly strong results. The AI helped transform raw project descriptions into structured task hierarchies, estimate durations based on historical data, and automatically visualize dependencies. As updates occurred, the system recalculated the critical path in real time, improving accuracy and reducing total project duration by around 12–15%. Data integration — especially cycle times and resource utilization metrics — made the scheduling process more precise and dynamic.
Hello David,
Good to know that you achieved great success with Gen AI. Could you please share which Gen AI you have used, and what kind of historical data you have used as input? And which field are you working in? I am trying to do a similar thing in the construction sector. The problem is that the interdependencies are too much in the construction sector, and the schedule is also very complex. Maybe I can learn from your output.

Thank you

Regards
Gurmeet SIngh
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