Description And Objectives

Use the complex reasoning capabilities of advanced AI models to tackle difficult operational problems.

Learning objectives

Use LLM “reasoning models”
Solve complex problems using systems-thinking approaches
Apply AI to real-world operational challenges
Evaluate the quality of AI-proposed solutions

Training Plan

Challenges in problem solving (20 min)
- Today’s challenges of solving complex problems
- Which problem types are well-suited to AI vs. those requiring human judgment
- Introduction to advanced reasoning capabilities in current models
- How this differs from the “Ideas and Strategic Thinking” module
Reasoning models and systems approaches (30 min)
- How advanced reasoning models work
- Systems approaches to break problems down
- How to structure a problem for AI
- Effective prompts for problem solving
- Demonstration: solving an optimization problem
Applications and hands-on exercises (50 min)
- Operational problem types covered:
  - Resource assignment optimization
  - Complex planning
  - Logistics problems
  - Multi-criteria decision-making
  - Scenario analysis
- Major exercises: testing different problems and instruction approaches
- Critical evaluation of proposed solutions
- Limitations and required validation
Considerations and wrap-up (10 min)
- Risks and challenges of using AI for complex problem solving
- The importance of human validation
- Quiz and Q&A

Tools used

ChatGPT, Gemini, or Microsoft Copilot (depending on the client context) — with a focus on versions featuring advanced reasoning capabilities.

Example problems addressed

Schedule or assignment optimization
Complex project planning
Allocation of limited resources
Multi-constraint problem solving

Specific takeaways

Prompt templates for problem solving
A framework for structuring complex problems
A solution validation checklist

Approach

Our training stands out through a human-centered approach that strengthens your teams’ natural intelligence rather than overwhelming them with technical concepts.

Teaching philosophy

Immersive experience: content tailored to real professional contexts
Social learning: peer discussions and peer-to-peer learning encouraged
Practical demonstrations: numerous live demos of AI tools
Case studies: real-world situations drawn from your industry

Theory/practice balance

100% theory with practical, hands-on elements built in
Interactive quizzes to validate understanding
Group discussions to anchor concepts
Multiple demonstrations to see AI in action

Target Audience

For augmented workers:

Knowledge workers in any sector who want to amplify their skills with AI, including:
- Professionals who regularly research information
- Analysts and managers working with data
- Writers, communicators, and content creators
- Strategists and problem-solvers
- Creatives and visual designers
Any professional looking to save 3–6 hours per week

Trainer

Mathieu Hétu

Making AI accessible, human, and impactful

Mathieu is a seasoned technology leader who has dedicated his career to making artificial intelligence accessible, human, and impactful. Currently serving as Director of AI Training, he is shaping the future of AI adoption in business through his unique expertise that blends strategic vision with innovative pedagogy.

With over 20 years of experience in the tech industry, Mathieu has led engineering teams and driven digital transformation within renowned companies such as Pyxis, Unito, GSoft, and District M. His journey from software developer to executive director has given him a deep understanding of technological challenges at every organizational level.

Passionate about the democratization of AI, Mathieu designs and delivers professional training programs that help organizations master artificial intelligence. He advocates for a human-centered approach to technology, where human–AI collaboration enhances performance while creating a positive impact on society.

Beyond his technical expertise, Mathieu has been the host and producer of the Culture Inc podcast since 2019, a platform where he explores the many facets of organizational culture and shares best practices that shape workplace well-being. This forum allows him to contribute to the dialogue on the evolution of the professional world and the transformations ahead.

A certified Scrum trainer and recognized thought leader, Mathieu brings a unique perspective on the ethical and philosophical challenges of AI in the workplace, constantly questioning the balance between technological innovation and human values.

His teaching approach:

Hands-on learning with immediate integration into workflows
A human-centered perspective that combines technological innovation with human values
Personalized support tailored to organizational challenges
Ethical reflection on the impact of AI in the workplace

The trainer, Mathieu Hétu, demonstrates great attentiveness and engages effortlessly with participants. He is an exceptional communicator who has a perfect command of his subject matter, whether explaining the various artificial intelligence tools, their integration in the workplace, or sharing his broader vision of the future », Nicole C.