AI business case

How to build a business case for AI in your company?

  • ChatGPT
  • Claude
  • Microsoft Copilot

1960 € per session, excl. VAT

In short

This course guides executives and business, innovation, and finance managers. Participants learn to identify value losses and prioritize opportunities. They build a business case including costs, indicators, and success conditions, verifying their assumptions for improved decision-making. Practical materials and completed templates are the deliverables.

Why this training?

The problem
Organizations struggle to transform Artificial Intelligence ideas into concrete and measurable initiatives, lacking a clear methodology.
What it costs today
AI investment decisions remain fragile, based on intuition rather than solid and demonstrable economic justification.
Why this skill
This skill is necessary to evaluate the economic relevance of AI projects, particularly those using tools like ChatGPT, Claude, or Microsoft Copilot, before committing fully.
What you gain
The participant and the company develop the ability to validate AI project hypotheses and secure investment decisions based on factual elements.

Objectives of this training

  • Map customers, beneficiaries, activities, and results associated with an AI project.
  • Link each potential AI use to a precise and quantifiable value mechanism.
  • Distinguish between time saved, capacity freed, and value actually realized.
  • Define a baseline, a pilot, key performance indicators, and decision thresholds for a project.
  • Build a business case including costs, indicators, and success conditions.
  • Present a priority case to a simulated committee, justifying its hypotheses.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Company directors evaluating strategic investments
  • Business managers exploring AI applications
  • Innovation leaders identifying technological opportunities
  • Financial managers assessing project profitability
  • Project managers overseeing new solution integration

Prior skills

  • AI Fundamentals and AI Prompting completed, or equivalent experience (a learning prerequisite, not a registration condition).
  • Knowledge of the organization's business processes and operational challenges
  • Understanding of the company's strategic objectives
  • Familiarity with cost or benefit analysis
  • Ability to identify sources of value or loss within operations
  • 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

  • One computer per participant, with access to the selected tools for the session.
  • A specific business case to work on during the training.
  • Authorized fictitious or anonymized data for experimentation.

What you will work on

  1. Understanding Value Creation

    The participant identifies value creation mechanisms and associated losses in an AI context.

  2. Qualifying Opportunities

    The participant evaluates and prioritizes AI opportunities based on their impact and feasibility.

  3. Building the Business Case

    The participant integrates all financial and operational elements to justify an AI project.

  4. Testing Before Further Investment

    The participant defines an approach to test project hypotheses and secure the investment.

What you take away

  • A value map, a prioritized portfolio of AI opportunities.
  • A business case integrating costs, indicators, and success conditions.

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 value map, a prioritised portfolio and a business case with costs, metrics and success conditions). 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 concrete outcome can my team expect from this training?

Your team will be capable of transforming AI ideas into structured and economically justifiable projects. They will be able to evaluate opportunities and prioritize initiatives with a clear vision of potential value and success conditions.

Who should participate in this session and with what prior knowledge?

This session is aimed at directors, business managers, innovation leaders, and financial managers. Participants should have a good understanding of their organization's operational processes and an ability to identify areas for improvement.

What data or documents should we prepare, and how do we protect our information?

Prepare descriptions of real business cases to explore. We will work with fictitious or anonymized data, and company-specific information will be handled with the utmost confidentiality.

What type of exercise will be performed on my business case during the training?

You will develop a complete business case for a specific business scenario from your organization. This will include value mapping, defining costs and indicators, and preparing a well-reasoned presentation.

What are the limitations of the AI tools studied and who validates the business case results?

AI tools like ChatGPT, Claude, or Microsoft Copilot are facilitators for exploration and modeling, but their relevance and the application of results are validated by informed human judgment. The final validation of business cases rests with your organization's stakeholders.

How does the training adapt to my industry or specific challenges?

The training is designed to be applicable across various industries, as the methodology for building a business case is universal. You will work on concrete cases from your organization, ensuring direct and immediate relevance.

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