Out off these GenAI tools, do we have any particular one or two to use more as project managers or we have to navigate through all the available tools for best practices .
As a project manager, you don’t need to use all GenAI tools. Focus on 1–2 that fit your workflow, like AI for task automation, scheduling, and report generation. Explore others only when needed for specific insights or optimization. Saving Changes...
Have you ever noticed that a lot of "AI problems" are actually ambiguity problems? Somebody says "We need AI," or asks "Which AI should we use?" when the problem may be that the process is unclear, standards are inconsistent, expectations aren't documented, or people disagree on what "good" looks like. If you can't define success or agree on desired outcomes, AI can't fix it.
Apologies for the soapbox; AI can be a great tool, but we don't need it for everything, in spite of what salespeople and Tech CEOs want us to believe. Rather than starting with AI, I prefer to start with the problem/opportunity. It helps to come up with a one sentence answer to the question, "What exactly are we trying to improve?" accompanied by some follow-up questions:
How do we measure success (if you can't measure success, AI won't fix it)
Is this automation or AI (AI can use automation, but there's a lot you can do with automation that does not require AI)
What's the cost of being wrong?
I include that last question because 1) AI predicts and predictions can be wrong, and 2) risk should always be considered, even if it's not acted upon.
As far as which AI tool to use goes, consider the type and purpose, and whether it helps meet your needs.
Generative AI - Claude, ChatGPT, Gemini, etc (LLMs). Great for preparing documentation and communications, summarizing content, creating templates, brainstorming, and more.
AI-enhanced analytics - predictive/optimization functionality that comes packaged in many tools and is becoming more common
AI-enhanced automation - also coming packaged in tools, or sold separately, that combines automation rules with AI
Agentic AI - can be used to combine the above functions. It's something you can build yourself, or it might come included as a feature in software you're using.
A simple framework that I've followed since long before my first use of AI, and you've likely heard more than once, is People, Process, and then Tools, in that order. AI is a tool. AI may be flexible, autonomous, and adaptive, but it doesn't fix ambiguity. It's a force multiplier, not a force creator. It doesn't generate direction, clarity, or quality from nothing; it amplifies whatever already exists, potentially scaling confusion instead of fixing it. Making sure that you understand the problem/opportunity and that you have the right people and effective processes in place will help you better understand which AI tool(s) you need, if any, and more importantly, use them effectively. Saving Changes...
Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
You don’t need all GenAI tools, choose one or two that fit your workflow. Focus on tools that improve communication, summarization, and decision support, ideally embedded in platforms you already use. Consistency brings more value than constant experimentation. Saving Changes...
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