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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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Janet Spinks Frederick, Md, United States
new to all of this. just taking in all the knowledge and experiences. thank you.
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Albert Meyer Lead Systems Engineer| Lockheed Martin Aeronautics Marietta, Ga, United States
Similar to Lessons learned I am taking a database of about 500 Actions from risk reviews on different programs and asking our AI agent to consolidate and prioritize. Hoping to develop a "Watch List" for future projects.
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Beth Burgstahler Chanhassen, Minnesota, United States
Rapid content creation based on a source of truth. Documents that may have taken days to generate were completed and verified within an hour.
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Gbenga Awopetu Principal Consultant| Gmerble Limited Lagos, Lagos, Nigeria
GenAI is an amazing tool to assist in project management. However, the result depends solely on the quality of data provided.
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KANJAR DE Research Engineer| RISE
LLM powered search helps us to research better
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Victoria Aboagye Tema, AA, Ghana
It was faster analysing data with AI especially when I was not sure about how to go about it, but further refinement needed to give it the human touch
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Mugdha Mahabal Head, Maharashtra Division| Vivek PARC Foundation Mumbai, MH, India

Yes, I’ve experienced some truly impactful and even unexpected successes using Generative AI in my projects-particularly in areas like strategic communication, policy research & data storytelling. However, I encountered a few challenges -



1. Contextual Accuracy: Ensuring that outputs respected socio-political nuances, especially in local governance and marginalized communities, required careful human oversight.



2. Data Sensitivity: Working with real people’s data, especially in areas involving children or SC/ST communities, meant Gen AI had to be used with strict ethical and privacy safeguards.



3. Localization: Translating AI outputs into regional languages while preserving meaning was not always seamless; we had to integrate manual vetting and community testing.
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Jason Miller Business Analyst I| CGI Federal Temple, Texas, United States
I have used AI for drafts of email/reviews and for brainstorming ideas.
Developing the prompts is the learning issue for me, I try and treat the AI as a JR team member that need a bit of stern directing, Can you do this? Yes, show me. (result) no, do better I asked for this. (new result), better now include this (new result)
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Michael Taphorn Program Manager| Talisen Technologies Collinsville, Il, United States
I have had some success using AI to assist non-programmers with HTML code writing. It took a few iterations of the instructions to get some of the work completed. But it worked very well...
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Giusy Matzeu Project Manager Medford, MA, United States
Very useful to streamline and tailor communication that needs however to be constantly verified. Moreover, it is also very useful in improving the overall quality of documentation.
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