The generative AI still has some stigma behind it due to being blamed that this is the machine learning system based on algorithm. In the same time, people forget that these algorithms are created by humans along with the machines.
When somebody tells me "we should use AI", as first ask what expectations the person has of using AI and what is the purpose: speed, personalization or support to decision-making. The project professionals should differentiate between vivid gaps in operational processes / human skillsets to get the project performance data, and usage of AI to use these project performance data.
Consequently, AI can not replace human in this sense, and human can not replace AI. Saving Changes...
When someone says “We should use AI,” I treat it as the start of an interview. The phrase can cover very different things: personal productivity, a vendor feature, a new way of building, or a research idea. I listen first, because how people describe the idea shows me what they are picturing. Then I ask who would notice if it worked. That question surfaces the real audience and what would change for them day to day. A vague answer tells me the idea is still a hunch. A specific answer tells me whether I am hearing a feature, a new way of working, or a pilot that carries data risk. Once I can sort the request, I know who should own it, which reviews apply, and what to plan. Saving Changes...
Chao DongSoftware Development Engineer in Test| Tencent Technology Company LimitedShenzhen, GD, China, Mainland
Actually, people always want to use AI to improve coding efficiency, however it is very hard to ensure the quality of the code. Saving Changes...
In my day to work, AI could mean “we really want a dynamic dashboard” or “we just want a chatbot.” For teams with well defined processes, we can usually implement a workflow solution to support a specific activity (like document review, analysis, template generation). Saving Changes...
When (Sr. Leaders) state: "We should be using AI", I've learned that an early question that should be asked is: "Is our IT Security team on board?" If leadership is expecting AI level reports, analysis, and maybe even higher level visual presentations but the company's firewalls limit the use of AI to very basic free tools, the expectation and reality gap causes frustration on both ends. Obtain clarity on leadership's expectations, explain and resolve any challenges together, and then use the tools to meet the expectations. On the other side of the challenge - The PM needs to be careful not to go down the proverbial "AI Rabbit Hole" of over perfecting the information or presentation. Saving Changes...
Oluwatoyin LawaniConsultant| Visionview Group Inc.Winnipeg, Manitoba, Canada
Mar 19, 2026 11:15 AM
Replying to Omar Jabbar
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I’ve been asked this many times, and my first response is always: what do you want to achieve with AI? Once the outcome is clear, we can define the right approach, tools, and path forward.
I agree with you here. We need to dig deeper to clarify what their AI "needs" are. This will help us with deciding on the right approach or tools to support the need Saving Changes...
I have often seen this in professional discussions. Someone says, “We should use AI!” But what does that really mean? 🔹 A Sales Manager thinks of using AI to analyse sales trends and improve forecasting. 🔹 A Project Manager thinks of using AI to automate reports, identify risks and predict delays. 🔹 An HR Manager thinks of using AI to screen résumés and improve employee engagement. 🔹 A Senior Leader thinks of using AI to improve decision-making and business performance. Everyone is talking about AI, but everyone may be expecting something different! What tips us off? The questions people ask, the problems they highlight, and the outcomes they expect. My approach would be simple: Before discussing the AI tool, ask three questions:
What problem are we trying to solve?
What outcome do we want to achieve?
How will we measure success?
Because adopting AI is not the objective. Solving the right problem and creating business value is the objective. Before asking, “How can we use AI?”, perhaps we should first ask, “What do we really need to improve?” Saving Changes...
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