Program Manager, PPM&PMO Specialist.| Coppel, Mexico.Culiacán, Sinaloa, Mexico
I frequently encounter questions about how to integrate AI into project management. While I recommend starting with the basics and then diving into generative AI, I'm curious to hear other perspectives. What's your approach to introducing AI to project managers? Saving Changes...
Program Manager, PPM&PMO Specialist.| Coppel, Mexico.Culiacán, Sinaloa, Mexico
Jan 14, 2025 1:45 PM
Replying to Eric Simms
...
Good question. First, define clear rules about how AI is to be used within project management - otherwise people will use AI in all manner of ways, many of which won't be realized until problems occur.
Great point Eric! Setting clear guidelines is crucial to avoid unintended issues. Once those rules are in place, what do you think should be the next step in integrating AI effectively into project management?
Regards! Francisco. Saving Changes...
Program Manager, PPM&PMO Specialist.| Coppel, Mexico.Culiacán, Sinaloa, Mexico
Feb 25, 2025 9:17 AM
Replying to Pavan Maddi
...
great question! Starting with the basics is a great approach! I believe introducing AI through simple, practical use cases—like automating reports or risk analysis—helps project managers see its value early on. Gradually expanding to generative AI ensures a smoother transition.
Project Manager | Driving Clean Energy Innovations for a Sustainable Future| Canadian Nuclear Laboratories Ontario, Canada
Jan 14, 2025 5:21 PM
Replying to Rami Kaibni
...
Francisco, to add to my colleague's feedback, you can also have them go through PMIs four AI related courses which are totally free for members.
Great point, Rami, thanks for sharing.
I'd like to list the 4 courses here for those who might be interested:
1. Generative AI Overview for Project Managers
2. Data Landscape of GenAI for Project Managers
3. Talking to AI: Prompt Engineering for Project Managers
4. Practical Application of Generative AI for Project Managers Saving Changes...
Program Manager, PPM&PMO Specialist.| Coppel, Mexico.Culiacán, Sinaloa, Mexico
Jan 14, 2025 4:30 PM
Replying to Kiron Bondale
...
Francisco -
I'd suggest as Eric has indicated start with some appropriate use guidelines, ideally an organization policy. Then, provide some basic training on the dos & don'ts. And then, let the PMs experiment and see what works well for them and what doesn't.
Kiron
Kiron, Thanks for confirming the approach I will, Regards! Saving Changes...
Program Manager, PPM&PMO Specialist.| Coppel, Mexico.Culiacán, Sinaloa, Mexico
Feb 24, 2025 5:52 PM
Replying to Diego De la Cruz
...
Francisco, I might start better by understanding the expectations of the intended audience (or yours).
As any tool, AI must be carefully evaluated. First major risk, AI is a general term used for very diverse things and you have to choose the good scope and related tools. Second major risk, there is a lot of hype regarding AI; therefore expectations are usually quite high.
In the last couple of years, the generative AI tools is what people consider AI: that may be enough in many cases... however going further to master the "prompt engineering" is an endeavor in itself.
In other organizations, one may look for data/process-mining/ML so historical data is fed automatically. In other cases, an expert system (a wizard, to simplify) that may speed up the project launch phase, for example.
It is better to be specific and then define the scope so you can avoid misunderstanding and then missing the target. I guess you are more interested on Generative AI, even if you open the question to all AI.
After my postgrade studies on AI, I have been working episodically with/on it for the last 20+ years so I might be a bit too biased. Anyway, I hope I might be of help if you give us a more precise definition of your expectations.
Diego, that’s a great point! AI covers a broad spectrum, so defining the scope is key. Given its rapid adoption, generative AI seems to have the most immediate applications, so I’d start there. Of course, understanding how it differs from other AI types (ML, expert systems, etc.) is just as important.
Curious to hear your thoughts—where do you see the biggest impact in project management?
Community Champion
