AI Thinking for Business: From Search Engine to Consultant

Learn how AI generates answers by predicting the next likely word from training data, not recalling an encyclopedia, and why this explains hallucinations and fabrication in business contexts.

Understand AI hallucination as a consequence of probabilistic word prediction, and learn three habits to manage it: verify facts with primary sources, cite sources, and treat AI responses as drafts.

Learn why AI is bad at math because it predicts next words rather than computing, and discover practical steps to verify numbers, use code-backed models, and know what to delegate.

Learn how adding context changes AI answers from generic definitions to department-specific guidance, with metrics and concrete business impact, illustrated by VLOOKUP and XLOOKUP prompts.

Share who you are, what you're working on, and why you're asking to unlock precise ai responses across any tool.

discover why prompt templates aren't necessary and how the who, what, and why principle lets you write prompts in your own words, avoiding template dependency.

Turn ai from a search engine into a consultant by adding context, and apply the takeaways who, what, and why to move from level 1 to level 1.5.

Discover how context improves AI answers and exposes the trap of asking only what you know. Learn to identify cognitive blind spots and seek underlying problems beyond your current view.

Discover lead time’s definition, calculation, and improvements, and learn to surface hidden needs by adding one prompt line that reveals overlooked perspectives, downstream impact, and level 2 thinking with AI.

This lecture shows how dialogue with AI shifts a goal from making a chart look better to redesigning a sales report for decision-ready information, illustrating level 2 thinking.

Co-create awareness by using dialogue to surface hidden needs and co-design goals through sharing context (who, what, why), turning AI from a search engine into your consultant.

Apply framework 2, the blind spot check, to prompt ai to search beyond your current view and reveal overlooked perspectives like inventory turnover, seasonal demand, and supplier dynamics.

Co-design the goal with AI to reveal the real objective through collaborative dialogue, using context first, blind spot check, and goal design.

Three frameworks emerge from AI as a consultant you meet for the first time; talk to AI like a consultant and apply this to Excel, logistics, and executive notes.

Turn learning into action in five minutes by re-asking a work question with Framework One: Context First and Framework Two: Blind Spot Check, sharing background to reveal overlooked perspectives.

Access exclusive bonus materials for enrolled students, including the AI usage cheatsheet and the complete prompt collection from the resources section, to help AI act as your personal consultant.