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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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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
Jan 11, 2024 7:22 AM
Replying to Pascal Brunet
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I have been using Generative AI for a little bit. It has proven to be very helpful for simple tasks, like taking meeting minutes (allowing me to focus and drive the conversation where I want it to go!), as well as composing more detailed Change Orders (where I will jot down the main bullets of what I want and have the Gen AI do some of the heavy lifting). Also had some success with a proof of concept to use Generative AI to analyze project lessons learned.

Where I had challenges, were in using ChatGPT for math. While it proved very good at helping me help my son with his Grade 11 math homework, it failed miserably when trying to use it to crunch test result data and provide repeatability results for that data. I had it compete with one of my engineers on a project and my engineer SMOKED Chat GPT! :)
Hi Pascal, thank you for sharing your experiences. I am always told that Chat GPT is not good at maths :-) The cases that you have described are relevant mainly for many project managers who do not know where to start from. Thank you
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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
Feb 28, 2024 11:04 PM
Replying to Harmeet Kapoor
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Hello everyone,



I wanted to share an interesting experience I had with Generative AI that really opened my eyes to its potential. After struggling to tailor my resume for different job applications, I decided to leverage AI's power to create unique resumes for each job description. Over time, this led to a considerable collection of distinctive resumes, each finely tuned to specific roles.



Seeing the value in what I had accumulated, I took it a step further. I compiled all these resumes into a single file and set out to build my own version of a PMI Infinity type ChatGPT. The result was nothing short of amazing. Now, whenever I need to apply for a new position, I simply input the job description into my AI system, and it crafts a perfectly tailored resume for me, ensuring it's ATS compliant and matches the job requirements exactly.



This journey into data analytics and Generative AI has been filled with learning and unexpected successes. It's been a game-changer in how I approach job applications, significantly reducing the time and effort required on my part while increasing my success rate.



However, it wasn't all smooth sailing. One of the challenges I faced was ensuring the AI understood the nuances of different job descriptions and could accurately reflect relevant experiences from my vast resume collection. It took some tweaking and learning on my part, but the benefits have been immense, not just in terms of efficiency but also in the quality of applications I'm now able to submit.



I'm curious to hear if anyone else has had similar experiences or found innovative uses for Generative AI in their professional or personal projects!

Really interesting Harmeet, the reference to a non easy process highlights all those nuances you refer to which make each experience personal and targeted to your needs. Training models to understand the context is the next stage.
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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
Feb 29, 2024 4:34 AM
Replying to Zahra Seifi
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I`m passing a risk management module as an MSC project management student. Yesterday, we had a task to identify all the risks of a family trip from the USA to Cardiff, for instance, as a project. I just gave the right prompt to the GenAI and got a lovely visualized file containing all the different risk categories, such as strategic, financial, and environmental. Thanks to the Gen for helping me out with the task.
I love your experience Zaira, thank you for sharing it and making us aware of everyday usages for Gen AI.
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Luis Fernando Miranda International Project Manager| Coca-Cola EuroPacific Partners Madrid, Madrid, Spain
AI helped me create several VB macros for different projects to automate many manual tasks the team was performing. The task took me around 30 minutes and it was not too data-intensive. The only data fed to the model was basically the desired outcome, structure of the inputs and requirements.
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2 replies by Joseph Tyler Chnupa and Pascal Brunet
Mar 01, 2024 9:17 AM
Pascal Brunet
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Luis - this right here. I was shocked how easy it was to create VBA code using Generative AI. Minimal input, complete solution in minutes, whereas it would have taken me hours before (and a few visits to Stack Overflow).
Feb 21, 2026 11:57 PM
Joseph Tyler Chnupa
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Glad it worked for macros as well. I have had successes in ChatGPT constructing demo, full stack applications in C#/ASP.Net and React, and a graphical Python app. Just a year or two ago, I couldn't get AI to give me working applications and some results were so bad, I gave up on trying to fix them. AI has really "learned" not only how to write applications correctly, but to implement best practices as well. A huge step forward for GenAI and a big help to coding projects.
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Pascal Brunet Senior Project Manager| Talan Americas Stouffville, Ontario, Canada
Mar 01, 2024 9:03 AM
Replying to Luis Fernando Miranda
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AI helped me create several VB macros for different projects to automate many manual tasks the team was performing. The task took me around 30 minutes and it was not too data-intensive. The only data fed to the model was basically the desired outcome, structure of the inputs and requirements.
Luis - this right here. I was shocked how easy it was to create VBA code using Generative AI. Minimal input, complete solution in minutes, whereas it would have taken me hours before (and a few visits to Stack Overflow).
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Timothy McIntyre Project Consultant| 90 Degree Benefits Helena, Al, United States
So far, I find it helpful for brainstorming and as a starting point. It helps me generate ideas. I do not use it corporately yet for anything remotely sensitive because I am uncomfortable sharing proprietary data or intellectual property with any tool tied to a LLM.

The output from these tools is usually fairly rudimentary and not always correct, so I have had to go behind and edit any output to make it really useful. It has helped me when I felt "stuck" and looking for a starting point based on others' best practices, but it is limited to information already within the LLM, meaning it can not be used to find truly innovative or original solutions.
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Janet Hall Sr. IS Project Manager| OhioHealth Corporation Galena, Oh, United States
We are not using GenAI for projects at my company.
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Shashank J Senior Project Manager| ovaledge Hyderabad, India
Hi, After going through the chatGPT AI tool usage the i still believe only 60% of the information is being captured and as its been defined as pre trained data and this data getting pre loaded has to be handled in a very sensitive manner as its tool driven as wrong outputs may sometimes lead to huge penalties due to compliance security failure. Also there was big media mess up happen on Gemini Post release from google recently with respect to response given when enquired about some prominent people on AI system. As said at the end its human touch and observation/monitoring of the tool with some sensitiveness i still believe that some sort of technical refinement has to happen in AI with proper integration from internet text to ensure the more robustness on revealing the information
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Xavier Mejia PM Consultant| ESTRATEGO Cuenca, Azuay, Ecuador
Leveraging Generative AI in projects has led to significant innovations and efficiencies across various domains, including design, content creation, data analysis, and process automation. Notable successes include generating unique product designs and personalized marketing content, uncovering new market segments through advanced data analysis, and automating routine tasks to enhance productivity. Challenges mainly revolved around ensuring data quality and mitigating biases to prevent inaccurate outputs. Overcoming these hurdles required meticulous data management and vigilant monitoring of AI outputs. The integration of Gen AI brought about considerable benefits, such as increased efficiency, innovation, data-driven decision-making, and improved customer satisfaction through tailored experiences. The experience underlines the importance of high-quality data, ethical AI practices, and adaptability to new technologies for achieving project success and maintaining a competitive edge.
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Mahalakshmi Pavithra Project Manager| The Everly Putrajaya Hotel Cyberjaya, Selangor Darul Ehsan, Malaysia
1- Content Creation for Marketing: Generative AI to create compelling marketing content, including images, videos, and textual content. They are easy to produce and cost effective
2- Operational Efficiency: generate reports and insights to assist in decision-making.
3- Training and Development: create realistic training simulations for hotel staff, covering scenarios from customer service to emergency responses.
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