Strategic decision making with AI

About this course

Strategic decisions are becoming increasingly difficult.

Markets evolve faster, uncertainty is everywhere, and artificial intelligence is changing not only the tools we use — but the way we think, analyze, and decide.

Yet most organizations still approach strategic decision-making in the same way they did before AI existed:
linear thinking, binary choices, static assumptions, and limited exploration of alternatives.

This course introduces a different approach.

In Strategic Decision-Making with AI, you will learn how to use AI not simply as a tool for productivity, but as a structured thinking partner to improve the quality, robustness, and adaptability of strategic decisions.

At the center of the course is the Decision Fork Framework® — a practical methodology designed to help leaders move beyond simplistic yes-or-no decisions by exploring multiple strategic paths, stress-testing assumptions, and adapting decisions continuously as new information emerges.

You will learn how to:

• Structure complex strategic decisions under uncertainty
• Generate and explore multiple decision paths
• Identify hidden assumptions and cognitive bias
• Use AI to expand perspectives and challenge reasoning
• Distinguish robust insights from unstable ones
• Apply Bayesian thinking and adaptive decision-making
• Make strategic decisions that remain resilient as conditions evolve

The course also introduces the Decision Intelligence Layer — a set of mental models that governs how uncertainty, bias, information, causality, and collaboration between human judgment and AI should be handled inside strategic thinking.

This is not a technical AI course.

You do not need to be a programmer or data scientist.

And this is not another generic course about “AI transformation”.

Instead, this course focuses on something more fundamental:

👉 how strategic thinking itself changes in the age of AI.

The course combines:

practical strategic reasoning,
modern AI capabilities,
mental models,
and real-world decision methodology.

You will finish the course with a concrete framework you can immediately apply to business, leadership, innovation, investment, organizational, or policy decisions.

Because in a world increasingly shaped by AI, the real competitive advantage is no longer access to information.

It is the ability to think better under uncertainty.

Course curriculum

1.

Foreword

1 lessons

  • 1
    Foreword — Strategic Thinking in the Age of AI lesson poster

    Foreword — Strategic Thinking in the Age of AI

2.

Part I: Decision Fork Framework

12 lessons

3.

Part I bis: Thoughts on ...

4 lessons

4.

Part II: Decision Intelligence layer

12 lessons

5.

Part III: Case Studies

5 lessons

6.

Part IV: Example

6 lessons

7.

Conclusion

1 lessons

8.

Certification

2 lessons

Strategic decision making with AI logo

Strategic decision making with AI

Strategic decisions are becoming increasingly difficult. Markets evolve faster, uncertainty is everywhere, and artificial intelligence is changing not only the tools we use — but the way we think, analyze, and decide. Yet most organizations still approach strategic decision-making in the same way they did before AI existed: linear thinking, binary choices, static assumptions, and limited exploration of alternatives. This course introduces a different approach. In Strategic Decision-Making with AI, you will learn how to use AI not simply as a tool for productivity, but as a structured thinking partner to improve the quality, robustness, and adaptability of strategic decisions. At the center of the course is the Decision Fork Framework® — a practical methodology designed to help leaders move beyond simplistic yes-or-no decisions by exploring multiple strategic paths, stress-testing assumptions, and adapting decisions continuously as new information emerges. You will learn how to: • Structure complex strategic decisions under uncertainty • Generate and explore multiple decision paths • Identify hidden assumptions and cognitive bias • Use AI to expand perspectives and challenge reasoning • Distinguish robust insights from unstable ones • Apply Bayesian thinking and adaptive decision-making • Make strategic decisions that remain resilient as conditions evolve The course also introduces the Decision Intelligence Layer — a set of mental models that governs how uncertainty, bias, information, causality, and collaboration between human judgment and AI should be handled inside strategic thinking. This is not a technical AI course. You do not need to be a programmer or data scientist. And this is not another generic course about “AI transformation”. Instead, this course focuses on something more fundamental: 👉 how strategic thinking itself changes in the age of AI. The course combines: practical strategic reasoning, modern AI capabilities, mental models, and real-world decision methodology. You will finish the course with a concrete framework you can immediately apply to business, leadership, innovation, investment, organizational, or policy decisions. Because in a world increasingly shaped by AI, the real competitive advantage is no longer access to information. It is the ability to think better under uncertainty.

€ 600