AI can make a weak assumption sound convincing. It can also help you examine it, and ask the question you would have missed.
Your picture of what AI can do shapes what you ask it to help with. If that picture ends at emails and summaries, you can miss the chance to investigate a difficult question, examine a decision, or attempt work you previously lacked the capacity to pursue.
Jordache expands that picture through selected demonstrations and examples. Audiences explore how AI can help them consider alternatives, challenge an assumption, and approach meaningful problems in their own work.
He also shows the decisions behind the result: the context supplied, the questions asked, and the human review that determines what is useful. For people whose work depends on judgment, the keynote opens up a fuller use of AI while keeping responsibility clear.
What your audience leaves with.
- 01
Where AI helps, where it misleads
How AI widens their thinking, and how it can sound sure while it’s wrong.
- 02
Who decides what
Which parts of a task AI supports, and where their judgment and accountability stay.
- 03
A second opinion on demand
Using AI to surface options and test an assumption in a real decision.
- 04
Review that fits the risk
How much checking an output needs, and when to bring in a qualified person.
Professional and leadership audiences already exploring AI, especially where accuracy, trust, and accountability matter.
“Such an amazing session. Thank you so much for the information. Have been using AI, however you have unlocked another level of AI that I am excited to use. I also am a proponent leader of showing the future generation how to use critical thinking with AI, not replacing critical thinking with AI.”
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