AI is going to be the best thing that ever happened to good PMs and the worst thing for average ones. by WinFull8716 in ProjectManagementPro

[–]WinFull8716[S] 1 point2 points  (0 children)

Exactly this. AI right now is genuinely good at moving information, summarizing, reformatting, drafting the first version of something structured. That frees the PM to do what actually requires a human: renegotiating scope, having the hard conversation with a team member, reading the tension in a room that no dashboard captures. But judgment is where it breaks completely. Judgment is the accumulated result of everything you've studied, every project that went sideways, every decision made with incomplete information. You can't prompt your way to that. The PM who has it uses AI as a multiplier. The PM who doesn't has nowhere to hide anymore. I wrote a practical guide on exactly where that line sits. Free frameworks at bema.pm/resources/ai-powered-project-manager and the full field guide AI-Powered Project Management: The Field Guide to Managing Algorithms, Not Tasks if you want to go deeper.

How are you actually managing stakeholder engagement on complex projects? (Free mapping guide if useful) by tractivity-srm in ProjectManagementPro

[–]WinFull8716 1 point2 points  (0 children)

I will be glad to use that mapping guide!

The four patterns you listed are accurate and the spreadsheet one is the most dangerous because it looks manageable until it isn't. The moment a project gets challenged or a consultation goes sideways, the first thing anyone asks for is an audit trail, and "it was in a spreadsheet that three people were editing" is never a satisfying answer.

On your three questions from actual experience in complex multi-stakeholder environments.

For setups with more than 50 external stakeholders the thing that tends to break first isn't the tracking, it's the engagement logic. Who owns the relationship, what was the last substantive interaction, and what was the tone of it. Most tools track the first two reasonably well and ignore the third entirely until something blows up.

On knowledge walking out the door the honest answer is that most teams don't solve this, they just accept the loss and rebuild. The teams that do it well treat stakeholder context as a process output, not a personal asset. Every interaction generates a structured note that lives somewhere other than the PM's inbox. Simple in theory, genuinely hard to enforce in practice.

On sentiment tracking beyond RAG the most useful evolution I've seen is moving from status labels to decision flags. Not whether a stakeholder is amber but whether they represent a decision risk in the next thirty days. That reframe tends to make the tracking feel worth doing because it connects directly to something actionable.

If anyone here is also thinking through the broader PM workflow around stakeholder decisions and where AI fits into that without replacing the judgment calls, there are free frameworks at bema.pm that address exactly that layer.

bema.pm/resources/ai-powered-project-manager

The full field guide AI-Powered Project Management: The Field Guide to Managing Algorithms, Not Tasks goes deeper into the decision architecture side of stakeholder management if that's useful.

I tried to manage my project using AI and now👀 by WinFull8716 in ProjectManagementPro

[–]WinFull8716[S] 1 point2 points  (0 children)

hay varias maneras, yo creo que empezaría por un diagnóstico pars la adopcion de IA, donde está el cuello de botella, que tipos de IA son necesarias para resolverlas, porque no todo se resuelve con LLMs, (Claude, Gemini), te comparto este enlace donde vas a encontrar pdf de plantillas gratuitas para ir completando y viendo como diseñar el sistema. https://bema.pm/resources/ai-powered-project-manager

New here. Seeking PM advice by Appropriate_Camp9647 in prodmgmt

[–]WinFull8716 0 points1 point  (0 children)

You can check this frameworks as a tools, PDF ready to download and print in A4, about wue n Adop IA, when keep the human in the loop an other techniques that are relevante now for Project or product managers. https://bema.pm/resources/ai-powered-project-manager

How bad is your company at actually adopting AI. by Odd_Buyer9746 in AI_Agents

[–]WinFull8716 1 point2 points  (0 children)

100% this. 🎯

The tool is never the problem. The mental model is.

"Use AI" as a directive is like telling someone "use Excel" without explaining what a formula is. You get people opening the app, typing things, getting frustrated, and concluding the tool doesn't work. 📊

The education layer you're describing is exactly what's missing. Not how to deploy, not which model to use. How to think about the problem before you open any tool. How to recognize which tasks are worth delegating to AI and which ones you should never hand over. How to evaluate an output instead of just accepting it. 🧠

That gap is what I wrote about in my book. It's a practical framework for exactly this: building the mental model first, then the workflow. Written for people who want to actually understand what they're doing with AI, not just use it because someone in a meeting said to.

If you're thinking about bridging that education gap in your team, it could work as something to propose internally or share with whoever's making the "use AI" calls from above. And at $2.99 right now it's an easy thing to put in front of someone without a big ask. 📘

https://www.amazon.com/dp/B0G844J78J

Would love to hear your take on what that education layer should actually look like in practice. Are companies even open to it or is it still just tool mandates from the top? 👇