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When someone says, “we should use AI,” how do you unpack what’s really being asked?

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Michael Brinn
PMI Team Member
Product Manager, Learning| PMI Denver, Colorado, United States

What signals help you tell different kinds of AI work apart—and what tends to go wrong when everything gets lumped together?

Have you ever been in a conversation where “AI” meant different things to different people? What tipped you off?

Share your experiences navigating what’s really being asked when someone says “we should use AI” in the comments below.

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Deepak Dwivedi Jhansi, Up, India
Mar 25, 2026 11:29 AM
Replying to anonymous
...
I agree with you, many times people are just pressured to use AI, but it is necessary to get the requirements clear first.
AS understood , the AI expectations should align as below:
  • Define the goal clearly (what problem to solve)
  • Specify the type of AI (automate, predict, generate)
  • Set realistic outcomes (accuracy, speed, limits)
  • Agree on success metrics (time saved, cost, quality)
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Deepak Dwivedi Jhansi, Up, India
In a customer support scenario:
  • One stakeholder: “AI chatbot” = fully autonomous agent replacing humans
  • Another: “AI chatbot” = assistant suggesting replies to agents
Same term, completely different systems.
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Anonymous
It is recognised that AI can assist, but we need to obtain clarity as to what AI system is to be used as there are many.
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Arif Rehman Abu Dhabi, AZ, United Arab Emirates
A useful approach is to ask questions such as:
What problem are we trying to solve?
What process or outcome needs improvement?
What are the current challenges?
How is the process handled today?
What measurable benefit is expected?
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Jamal Sulaiman Kampala, 102, Uganda
You will need to understand the requirements of the project before zeroing down to which AI to use, as many people talk about AI, but they don't have enough information to back it up
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Sumalatha Buttu Hyderabad, TG, India
When someone says “we should use AI,” it’s important to unpack the intent. First, clarify the problem they want solved and the objectives behind using AI. Then, assess how AI will integrate into workflows and whether the organization has the right data and infrastructure. Ethical and compliance considerations must also be addressed to avoid risks. Finally, ensure AI adoption is aligned with business goals so it delivers measurable value rather than becoming a buzzword.
This way, the vague idea of “using AI” becomes a clear, actionable strategy.
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