AI… in Wonderland — The Value of the Wormhole is a practical AI-for-managers module about using AI to analyze reports, spreadsheets, dashboards, and other operational materials more thoughtfully. It explains how managers can begin AI-assisted analysis with a structured evaluation framework, then use follow-up questions to widen the investigation and test emerging patterns.

Using the “wormhole” metaphor, the module shows how a narrow managerial question can expand into a much wider field of inquiry. It is especially relevant for managers interested in AI-assisted analysis, prompt strategy, decision support, operational review, and better management judgment.

Just as importantly, the module emphasizes that AI should expand inquiry, not replace judgment. Managers still have to interpret patterns, test assumptions, and decide what action deserves to follow.

This module introduces managers to a practical and disciplined way to experiment with AI‑assisted analysis. AI systems can dramatically expand the number of patterns, questions, and perspectives that emerge from operational information. Used thoughtfully, they function like an analytical wormhole—connecting a narrow problem statement to a much larger landscape of possibilities.

However, expansion of analysis does not remove managerial responsibility. Managers must still define the frame of evaluation, interpret the meaning of patterns, and decide what action—if any—should follow. This module explains how to enter this analytical wormhole deliberately, explore it productively, and avoid the common trap of asking AI to determine what decisions should be made.

. How AI expands the analytical landscape managers can explore.

By examining multiple documents simultaneously, AI can surface patterns and relationships that are difficult to recognize through traditional report reviews. This expanded analytical view often reveals operational signals that might otherwise remain hidden.

. How to begin analysis by asking AI to construct a structured evaluation framework.

Instead of starting with open-ended analysis, managers can ask AI to identify the criteria that should guide the investigation. This step introduces discipline into the analytical process and helps ensure the results remain aligned with the manager’s real objectives.

. How iterative questioning transforms AI into an investigative partner.

The most valuable insights rarely appear in the first AI response. By asking follow-up questions and exploring emerging patterns, managers can gradually expand the investigation and uncover deeper relationships within the data.

. Why AI should expand inquiry rather than replace managerial judgment.

AI can generate explanations, correlations, and possibilities, but it cannot determine which interpretation is correct within a real organizational context. Managers must still apply experience, organizational knowledge, and judgment before deciding what action to take.