AI and Creativity: Boosting Innovation in the Company

🔸 Context and Challenges

Creativity and innovation have always been strategic levers for companies. However, teams often face:

• A lack of new ideas

• Ideation processes that are too slow

• Cognitive biases limiting creativity

• Difficulty breaking out of habitual patterns

• Lack of time to explore innovative avenues

Generative AI can become a powerful catalyst for creativity and innovation—if used intelligently. It can propose unexplored avenues, accelerate idea generation, help reformulate a problem, explore alternatives… but it can also produce unrealistic, repetitive, uninteresting, or biased ideas if not properly guided.

🔸 Training Benefits

This training enables participants to:

• Understand how AI can stimulate individual and collective creativity

• Use AI to generate ideas, concepts, scenarios, solutions

• Overcome cognitive biases and broaden the field of possibilities

• Structure an AI-assisted innovation process

• Evaluate, filter, and select relevant ideas

• Integrate AI into innovation projects

🔸 Key Strengths of the Training

1. Immediate hands-on practice on real company issues

2. A concrete and pragmatic approach focused on efficiency

3. Training delivered by an AI expert

🔸 Objectives

1. Evolution Objectives

At the end of the training, participants will be able to:

• Explain the foundations and functioning of major forms of artificial intelligence, including generative AI and language models

• Use AI to produce content adapted to their professional needs

• Adopt a responsible, secure, and informed practice, integrating ethical issues, risks, biases, and cybersecurity best practices

• Apply the techniques learned in their work environment

2. Learning Objectives

Participants will acquire:

• Fundamental knowledge of AI: history, key concepts, functioning of LLMs, limits and impacts (organizational, societal, ecological).

• Essential principles of prompt engineering to formulate effective, structured, and reproducible requests.

• Concrete and transferable use cases illustrating how AI supports various roles and internal processes

🔸 Example of Practical Application

Participants will work on a complete real-world case:

• HR: drafting a job description for a new recruitment

• Sales: preparing an argumentation for a new service

• Quality department: analyzing survey feedback

• IT: documenting an internal process
• Executive management: preparing a strategic speech
• …