Gaurang GanatraSenior Project Management| CMS Computers Private LimitedAhmadabad, GJ, India
Feb 19, 2026 1:05 PM
Replying to Luis Branco
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Great question.
When someone says “we should use AI,” the conversation is rarely about technology itself. It is usually about pressure for speed, efficiency, innovation, or competitive leverage. The first step is to clarify intent.
Three signals help distinguish what is really being asked.
First, decision proximity. Is AI automating a task, augmenting human judgment, or moving toward managing objectives autonomously? These are fundamentally different categories of work. The closer AI gets to consequential decisions, the stronger the need for governance, traceability, and explicit oversight.
Second, problem clarity. Is there a clearly defined business problem with measurable impact, or is AI being treated as the starting point? When the solution precedes the problem, misalignment and inflated expectations follow.
Third, accountability design. Who owns the outcome if an AI-driven recommendation fails? When responsibility becomes diffuse, risk scales faster than performance.
In many organizations, “AI” simultaneously means efficiency, experimentation, and cost reduction to different stakeholders. Misalignment becomes visible when decision flows and ownership are unclear. A common tipping point is when stakeholders use the same word “AI” but describe different success metrics.
The real shift is not from manual to automated. It is from “man in the loop” to “man in control.” Without deliberate design of responsibility, capability increases while accountability erodes.
Clarity of purpose, category of AI work, and ownership separates disciplined transformation from technological noise.
This is an impressive analysis t Saving Changes...
its not only using AI its a tool to make the 5 hours tasks in 1 or less , but it need clarity in describing the needs to get what we need Saving Changes...
I believe that when someone says, "We should use AI," that person is likely indicating something that can help in project management. Regarding the PMI - Project Management Institute, we need to know what value will be assigned to the project, understand the problem, and find a quick and effective solution.
We will need to have the scope defined, the schedule established, the links made, and the "GAPs" analyzed. Saving Changes...
Bojan MaksimovicProject Management| Isaac ConstructionChristchurch, CAN, New Zealand
My view at this stage is that an AI agent should be treated much like a new employee joining the business. It arrives with a broad base of knowledge and capabilities, but it still needs to be trained, guided, and provided with the right context to understand the company's processes, standards, and objectives. Like any newcomer, its effectiveness will depend on the quality of the onboarding, the information available to it, and the feedback it receives over time. The more it learns about the business and how work is done, the more value it can provide to the team. Saving Changes...
Zalika WoodsSenior Manager| CeresSanatoga, PA, United States
When AI is recommended, I see it as a window to meaning how can this be simplified or reach the objective most efficiently. There’s definitely ambiguity with just that simple phrase. Understanding the goal of the project and where you can leverage AI makes the buyin happen more easily. Saving Changes...
I believe it is important to address organizational culture and the human factor from different perspectives in order to achieve the right integration with AI and to ensure a smooth transition into daily life. Saving Changes...
In project discussions, I have noticed people use ‘AI’ to mean different things — sometimes automation, sometimes analytics, sometimes generative tools. The biggest challenge is identifying which tool fits best for each department, and ensuring the tools respect data privacy and security. Without that clarity, AI becomes a buzzword instead of a solution. Saving Changes...
1- Assessment has been done, as per requirement, data analysis, solutions review 2- Suggestion to involve AI at every steps of the project Saving Changes...
Randall KochIT Project Manager| Bank of America CorporationNassau, De, United States
Feb 25, 2026 5:29 AM
Replying to Eduard Hernandez
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Most individuals relate AI to LLM lihe ChatGPT. There are very few individuals who realize that AI is on an "agentization" process, evolving from the current assistant status.
Agentization refers to the process of turning an AI system (such as a LLM) into an autonomous agent that can:
Perceive its environment (through inputs, data, APIs, sensors, etc.)
Make decisions based on goals
Take actions using tools or external systems
Adapt based on feedback or changing conditions
Good point. Many still think of AI as a passive tool, but the real shift is toward systems that can act—perceiving, deciding, and executing against goals with minimal human input. That move from “assistant” to “agent” is where things get interesting—and a lot more impactful. The skilled professional knows the difference and builds accordingly. Saving Changes...
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