Course : AI for managers: anticipate, decide, transformThe keys to understanding, experimenting with and deploying AI in your business
Practical course - 2d
- 14h00 - Ref. IDA
|
Download in PDF format
Share this course by email
 | Acquire a clear and strategic vision of AI and Generative AI to anticipate their impact on your business. |
| Identify the most relevant use cases for your business |
| Master the principles of governance and the deployment stages of an AI project |
| Evaluate and choose AI tools adapted to your business needs, integrating ethical and regulatory issues |
| Ensuring value creation by avoiding the lures of a technical vision |
Intended audience
Managers of SMEs, ETIs or large groups, innovation directors, business managers wishing to initiate or pilot an AI project within their scope.
Prerequisites
No
Practical details
Hands-on work
Theoretical input, practical work, exchanges, case studies...
Course schedule
1 Learn the fundamentals of AI, Generative AI, Machine Learning and Deep Learning
- Fundamental concepts of AI and Generative AI
- Strong AI vs. Weak AI
- Technological breakthroughs: LLM, intelligent agents, multimodality...
- Market figures and trends
- Overview of the main AI families: symbolic, connectionist, generative AI...
- Understanding the principles of machine and deep learning
- Differences between supervised, unsupervised, reinforcement and transfer learning
Storyboarding workshops
Inventory of AI usage in participants' companies. Collective reflection on the need to seize the opportunities offered by AI now.
2 Discover the main AI/IAG tools and technologies
- Overview of tools: ChatGPT, Perplexity, Copilot, Llama, Mistral, Notion AI, Gemini, NotebookLM...
- Risks, hallucinations, bias: how to protect yourself?
- Comparison of solutions : Open source vs. proprietary LLM, sovereign solutions...
- Practical applications: art of the prompt, document synthesis and translation, multi-file analysis, benchmarking...
Hands-on work
Criteria grid for choosing a tool adapted to your business needs. Feedback on confidentiality management.
3 Identify the strategic and organizational impacts of AI
- Mapping of functions and professions impacted by AI/IAG (HR, legal, accounting, finance, customer relations...)
- Analysis of the transformations to be anticipated: business models, data-centric companies, disintermediation, players...
- From individual intelligence to collective intelligence
- From the augmented employee to the augmented enterprise
- Reading grid for a business vision of IAG: ROI, productivity, innovation, differentiation, competitiveness...
Storyboarding workshops
Collective reflection on the professions impacted by AI/IAG.
4 Steering the governance and deployment of AI/IAG
- The importance of appropriate governance (cf. Committee, system, method, rules, user charters, etc.).
- The AI/IAG Governance framework based on the main international standards
- A model for deploying AI/IAG within your company: a managerial approach first and foremost
- A method for identifying POCs (Proof Of Concept) wins FrenchTech's Cas d'Or IA awards
Case study
Illustrations of AI tool deployments in different economic sectors
5 Successfully implementing Generative AI within your organization
- Key stages in an EMI project: from acculturation to industrialization
- Data governance, internal resources and team training
- How to initiate an action plan: quick wins, pilots, KPIs...
- Process modeling and reengineering
- Approach, results, observed ROI and key success factors
Case study
Detailed example of optimization in a business department (HR, legal or sales).
6 Automate tasks and processes with agents and multi-agents
- Intelligent agents: dedicated tools to automate certain tasks and boost productivity
- Multi-agents to automate processes or solve complex problems
- Measurable gains: quality, speed, cost reduction, better decision-making
Storyboarding workshops
Sector benchmarks (e.g. industry, banking, insurance, healthcare, public services, etc.).
7 Understand the current ethical and regulatory issues and the outlook for AI.
- Regulatory issues: RGPD, IA Act, transparency, auditability/explicability, etc.
- Ethical charters and managerial responsibility in the use of AI/IAG
- Responsible use of AI: shadow AI, etc.
- Anticipating the future: the role of executives in the face of the AI/IAG revolution
- Resurrecting managerial fundamentals
Group discussion
What can we expect in the short, medium and long term?
Customer reviews
4,3 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
CÉLINE N.
11/12/25
3 / 5
The content is very focused on providing global information on the state of the AI sector. Interesting for those who want to gain an in-depth understanding of the subject, but not very useful for managers who want to drive and implement concrete change. Lack of case studies. Lack of focus, for example, on certain support functions present in all organisations. The section on the implementation process within the company is skimmed over.
BRUNO C.
11/12/25
5 / 5
This is a very good course, providing a complete overview of AI applications and giving essential keys for deploying AI in companies. Perhaps we could add a more technical section on AI architectures and specific cases of implementation in companies, in particular the contribution of AI to IT development and the reappropriation of IS by companies. Thanks especially to Christophe, who led these 2 days with dynamism,
MATHIAS M.
11/12/25
4 / 5
There was a lot of content but not enough time to go into it in depth. Some subjects would have deserved more time to fully understand the issues and how they work, while others were not necessarily useful.
Publication date : 10/28/2025
PARTICIPANTS
Managers of SMEs, ETIs or large groups, innovation directors, business managers wishing to initiate or pilot an AI project within their scope.
PREREQUISITES
No
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Managers of SMEs, ETIs or large groups, innovation directors, business managers wishing to initiate or pilot an AI project within their scope.
PREREQUISITES
No
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Dates and locations
Last places available
Guaranteed date, in person or remotely
Guaranteed session