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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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Anonymous

I have recently used AI to research ways to automate processes for matching a provider and vendor for mobile services. I was pleasantly surprised by suggestions offered and details returned via costs and experience required with each option. I haven't validated results to confirm accuracy but AI at least gave me a starting point.

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1 reply by Shawn Robison
May 18, 2026 7:25 PM
Shawn Robison
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Well done! Where I've found people make a mistake is seeing that AI missed the mark and then quitting. It is incredibly powerful, but you have to understand where it is, and is not useful.

Right now, with proper prompting I have AI acting as a junior team member. That means I need to check the work and if something went wrong I need to ask myself “why did they do what they did based on my instruction and how do I better equip AI to be successful the next time.” That mental model has been a massive unlock to the potential that exists today.
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Shawn Robison Program Manager| Johnson & Johnson Fort Worth, Tx, United States
May 18, 2026 6:39 PM
Replying to anonymous
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I have recently used AI to research ways to automate processes for matching a provider and vendor for mobile services. I was pleasantly surprised by suggestions offered and details returned via costs and experience required with each option. I haven't validated results to confirm accuracy but AI at least gave me a starting point.

Well done! Where I've found people make a mistake is seeing that AI missed the mark and then quitting. It is incredibly powerful, but you have to understand where it is, and is not useful.

Right now, with proper prompting I have AI acting as a junior team member. That means I need to check the work and if something went wrong I need to ask myself “why did they do what they did based on my instruction and how do I better equip AI to be successful the next time.” That mental model has been a massive unlock to the potential that exists today.
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Deanna Worthington Kansas City, Mo, United States
I really resonated with the video business case of sorting through lessons learned. While I haven’t tested it myself, that is a pain point of so many of my past projects- and ultimately I can see this tying into overall company wide projects that can be created from an aggregate of lessons learned at each team level from their projects.
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Maritza Epstein St. Petersburg, FL, United States
Jan 04, 2024 4:56 AM
Replying to Sergio Luis Conte
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Challenges remain the same from long time ago (Gen AI is outside there from long time ago): AI entities have a grade of confidence associated to them that must be published with the results. So, the final decision still remains in human being hands. The same for the outcomes: helps me to search patterns in a hugh amount of data to create the information I need adding that today I can find data public and outside my organization.
I found generative AI pro vided me with a good review and breakdown for a judicial action on processes and court hearings and preparation/
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Jennifer Walker Principal Technical Program Manager| Sonos, Inc. Sharon, Ma, United States
Hi Claudia - Here are a few things I've been able to use GenAI for to reduce my workload:
  1. Create meeting notes and action items based on meeting transcripts or captions from meeting recordings. I can give a pre-defined format of what I like as the output as well.
  2. Run a prompt (or Claude skill) that reviews all my outputs and presentations to ensure they are accessible to people with vision impairment or vision loss so that anything I share is easily readable by all my colleagues.
  3. Use a prompt to create (or Claude Cowork to schedule daily creation of) a digest of certain Slack channels' messages for channels that are very active and have it focus on the topics I care about most.
  4. Use a prompt that looks across multiple tools (Atlassion ones, email, calendar, Slack) to see what my open action items are and draft responses.
  5. I created a Team Charter in 30 minutes last week using meeting notes I wrote during a meeting about the new team and a prior project's team charter (having more team charters would likely have given better results, but one was enough to get me started & then I just had to make minor modifications).

There are SO MANY ways to use GenAI to help me out every day.
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Asiye Bilge K?rca Berlin, BE, Germany
As to my relatively short experiences I would say that Generative AI has driven incredible, unexpected breakthroughs in social impact projects proving that technology can have a massive heart.
In social projects, data is all about representation. Using diverse, community-specific data ensures the AI understands local contexts, cultural nuances, and rare dialects, rather than just mainstream demographic
On the other hand, social projects often suffer from "data deserts" (lack of clean data for marginalized groups), and there is a high risk of reinforcing systemic biases if the data isn't carefully curated. The very important pros of Gen Aı is that, small, underfunded non-profits can suddenly operate at the scale of massive corporations—automating administrative tasks, writing grant proposals, and reaching individuals in need with personalized support.
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Wendy Villalobos Business Analyst Santa Tecla, El Salvador, El Salvador
One of the biggest successes I've experienced with Generative AI is realizing that its value goes beyond productivity.
While I regularly use it to support activities such as meeting preparation, brainstorming, drafting reports, summarizing information, creating presentation outlines, and conducting research, the most important lesson I've learned is this:
Generative AI's true value doesn't lie in generating answers.
It lies in helping us ask better questions.
The quality of the results still depends on the clarity of the problem, the context we provide, and the judgment we apply when interpreting the output.
For me, GenAI has become less of a tool for automation and more of a thought partner that helps expand my capabilities, challenge assumptions, explore alternatives, and accelerate learning.
Like any tool, it is most effective when combined with critical thinking and professional judgment.
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