madhesh madhuProject Management| Colliers Internationalbengaluru, KA, India
When someone says, " We should use AI " in a conversation, It makes me interesting to discus how to implement and what are the possible ways of time saving and efficient outcome we can get from that from precent process.
In any form of new development, We need to observe that how its works and what benefit we can get from that is the best possible outcome.
From initiation to all the way of closing of project all the project related data structure monitoring by AI is sleepless and timely address project risks. I strongly agree this is the new era of technological development. Saving Changes...
To unpack the intent, pivot from the "how" to the "what." Ask which specific bottleneck is being targeted and what a successful outcome looks like. Often, the request isn't about AI itself, but a desire for better efficiency, data accuracy, or speed. Identifying the core problem ensures you deploy a functional solution rather than just chasing a trend Saving Changes...
Callie HallSenior IT Project Manager| Government; Health; Energy; IT ConsultantHouston, Tx, United States
key strategies: h31. Clarify the Intent and Problem/h3The phrase "we should use AI" is often a signal of pressure for speed or innovation rather than a technical requirement. You should first ask: "What problem are we trying to solve?"Problem Clarity: Determine if there is a measurable impact or if AI is just being treated as a starting point.
Outcome Focus: Identify if the goal is automation (saving time), prediction (forecasting), or content generation.
2. Analyze the "Three Signals"Decision Proximity: Is the AI performing a simple task, supporting human judgment, or acting autonomously? Higher autonomy requires stricter governance. Accountability Design: Who is responsible if the AI fails? Clear ownership prevents risk from scaling faster than performance. Metric Alignment: Ensure all stakeholders are using the same success metrics, as "efficiency" can mean different things to different departments. 3. Assess Readiness and Feasibility Before committing to an AI solution, evaluate the foundational elements:
Data Quality: AI effectiveness depends on standardized, high-quality data. If your data is messy, AI may not be the right tool yet.
Process Maturity: Check if the current processes are "automation-ready." Sometimes the real need is a simple process redesign rather than a complex AI agent. The "Human in Control" Model: Shift from "man in the loop" to "man in control," where human oversight ensures the AI's output remains aligned with strategic goals.
4. Know When to Say No
A disciplined approach involves recognizing that AI is not a "cure-all."
em primeiro lugar, precisamos entender qual é a oportunidade que queremos atender com a IA? Confesso que ainda estamos um pouco perdidos de tantas opções e soluções apresentadas que a dificuldade está em estabelecer ao certo o que queremos solucionar com IA. por outro lado, temos que experimentar e correr alguns riscos se queremos inovar utilizando IA, certo? Saving Changes...
Tiburcio SantosDirector of PM/PMO| Spirit Serviços em Tecnologia da Informação LtdaSorocaba, SP, Brazil
For me this happens surprisingly often, and there are some subtle (and not-so-subtle) clues that signal it. h3A quick example/h3Imagine a meeting where someone says, “We should use AI to optimize this process.”
One person starts talking about machine learning models and training data.
Another is thinking of simple automation or rule-based scripts.
A third is picturing tools like ChatGPT or Copilot generating content.
Same term, totally different mental models. Saving Changes...
David LichtsinnProject Manager| Global Technology Solutions Group - GTSGGreen Valley, Az, United States
So often I hear of folks who tell me "I don't like AI, ,and I don't use it". Oh yes you do, you just don't realize it. Saving Changes...
CHRIS EKWEDAMProject Manager| Carmels Tekno LtdPort Harcourt, Rivers, Nigeria
The first focus is for everybody to be on the same page on what AI means.
Define the problem you want to solve and the expected deliverables..
What type of AI system and AI tool can help solve the problem?
This has been my approach to the question, suggestion or signal as the case may be. Once I get all the issues sorted out, it's always easier to make progress. Saving Changes...
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