Problem solving

How to use AI to solve a business problem?

  • ChatGPT
  • Claude
  • Microsoft Copilot

1960 € per session, excl. VAT

In short

For managers and operational teams, this training teaches how to structure a problem, explore its causes, and design realistic solutions. Using AI tools like ChatGPT or Claude, participants frame the problem, analyze causes, and develop a test protocol. The deliverable is an action plan clarifying the approach to complex challenges.

Why this training?

The problem
Teams struggle to structure complex business problems and accurately identify their root causes.
What it costs today
Without a structured method, analyses are incomplete, solution options remain limited, and decisions made are fragile.
Why this skill
This skill is necessary to clarify complex challenges and develop rigorous problem-solving approaches.
What you gain
The participant and the company gain greater reliability in problem analysis and enhanced autonomy in designing suitable solutions.

Objectives of this training

  • Describe the gap between an observed situation and an expected outcome.
  • Utilize the five whys and a cause map to formulate hypotheses.
  • Generate multiple solution options, including those without AI assistance.
  • Construct a limited test protocol with success and stop criteria.
  • Present an action plan including expected results and timeline.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Managers structuring operational challenges
  • Project managers developing strategic plans
  • Operational teams analyzing malfunctions
  • Quality specialists identifying discrepancies

Prior skills

  • AI Fundamentals and AI Prompting completed, or equivalent experience (a learning prerequisite, not a registration condition).
  • Knowledge of the organization's operational stakes
  • Ability to identify concrete problematic situations
  • Understanding of the company's strategic objectives
  • A paid subscription to an AI solution offering the features used, the organisation’s authorisation for third-party tools, and the actual accounts and access rights.

To prepare before the session

  • A personal computer per participant.
  • Functional access to ChatGPT or Claude tools.
  • A specific business case to work on during the session.

What you will work on

  1. Framing the problem

    This module enables clear definition of the scope, constraints, and indicators of a business problem.

  2. Exploring causes

    This module enables identification of the potential origins of the problem using structured methods and AI.

  3. Designing and comparing

    This module enables development of diverse solution options and their evaluation against specific criteria.

  4. Experimenting and learning

    This module enables creation of an experimentation plan for a solution and anticipation of its results.

What you take away

  • A problem framing with its cause analysis.
  • A test protocol for a considered solution.
  • An action plan for complex challenges.

Method and assessment

  • Demonstrations with explanations using a concrete case
  • Guided exercises followed by application to your role
  • Peer review of results and source verification
  • An individual or team action plan

Assessment is formative: participants complete and review a practical case linked to the intended deliverable (A problem statement, a cause analysis and a solution test protocol). Criteria include meeting the brief, accuracy, checks performed and the ability to explain decisions. Each participant identifies an application to test in their own work.

Frequently asked questions

What will be the concrete outcome for my team after this training?

Your team will be able to analyze complex problems in a structured manner and identify their root causes. This will lead to more relevant and well-founded solutions for the organization.

Who should participate and what should be known before attending the course?

Managers, project leaders, and operational team members are ideal participants. It is helpful to know your organization's specific challenges and to bring a concrete business case.

What data or documents will we need to use and how will their protection be ensured?

You will use fictitious data or anonymized case studies. If you bring a real case, we will ensure all sensitive information is anonymized to protect confidentiality.

What type of exercise will be carried out on a specific business case?

You will work on a business case you brought or one provided. You will apply problem framing techniques, cause analysis, and solution design, including using AI tools to explore avenues.

What are the limitations of AI tools for problem analysis and who validates the results?

AI tools like ChatGPT or Claude are aids for idea generation and exploration, but their relevance must be validated by human expertise. Participants themselves validate the results based on their contextual knowledge.

How does this course adapt to the specifics of my profession or my organization's cases?

The training format is designed to work on concrete cases brought by participants. The methods taught are generic and adaptable to various professions, allowing for direct application to your specific challenges.

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