Clone of Artificial intelligence and its impact on organizations

Campus

  • PRESENTIEL

In Short

Intake

  • en intra exclusivement

Pace

  • 2 days

Graduation diploma

  • Training certificate

Teaching languages

  • French French

Tuition fees

  • 2 days (14 hours) in person
  • €4,000 net of taxes for 3 participants
    (discounted rate depending on the number of participants)

Contacts

Contact

Frédéric Rossi
Email: f.rossi@ipag.fr
Tel: +33 (0)1 53 63 36 22

  • Description

  • Trainer Profil

  • Teaching & Assessment

  • THE COURSE

Presentation

At a time when digital technologies are profoundly redefining internal operations, production methods, and interactions with stakeholders, artificial intelligence (AI) is emerging as a major strategic lever for organizations.

From data collection to generating recommendations, from process automation to personalizing the customer experience, AI is transforming not only tools and practices, but also corporate cultures and management models.

For organizations, the challenge is twofold: to fully exploit the opportunities offered by AI—productivity gains, innovation, increased agility—while anticipating and managing the associated risks—algorithmic bias, data sovereignty, impacts on employment and ethics. This introspection leads us to ask: how and to what extent does AI influence organizations today, what are the levers for success, and what constraints must be taken into account?

Trainer

Tessa RENAUDON

Strategic consultant specializing in AI-enhanced productivity and digital transformation

Tessa works with companies, entrepreneurs, and local authorities to promote the ethical, effective, and humane use of artificial intelligence.

A former consultant at Google for over five years,
she has supported hundreds of companies—including microbusinesses, SMEs, and large corporations (Bureau Vallée, Caudalie, EDF, Air Caraïbes, etc.)—in developing their digital activities, digitizing their processes, and upskilling their teams.

Teaching methods

  • Alternating between theoretical input, concrete examples, and collaborative workshops.
  • Practical applications inspired by real-life cases from the business and public service sectors.
  • Live demonstrations of secure and accessible AI tools.
  • Digital teaching materials provided at the end of the training course (PDF + responsible AI resources).

Day 1 - UNDERSTANDING AND DEMYSTIFYING AI IN COMMUNITIES

1-Decoding AI and its challenges for public/private services (morning)

OBJECTIVES

Understanding and demystifying AI in local authorities
 

What is AI?

  • Artificial intelligence: definitions, concepts, myths, and realities.

The main types of AI

  • Automation, analysis, generative AI.
     

Practical cases: the main areas of application

  • Data analysis, automation, decision support, communication.

Ethical and societal issues

  • Security, data protection, algorithmic bias, GDPR, transparency

Workshop 1

Mapping AI in my organization:
 

Identify current uses, opportunities, and internal barriers. Each participant identifies an area in their work where AI could bring concrete benefits (time, simplification, quality).

2- Supporting organizational change and evolving practices (afternoon)

OBJECTIVES

Understand how AI is transforming professions, practices, and managerial approaches.

The impact of AI on organizations and public/private services.

Identify internal processes conducive to automation.
 

The manager's attitude towards innovation

  • Management, communication, change support.

Digital culture and gradual acculturation

  • How to mobilize teams, assessing each person's level of digital culture and skills, to seamlessly integrate these tools into work processes.

Workshop 2

Reinventing a service with AI:
Work in small groups on a practical case study of improving a citizen service through AI. Case study: imagine a concrete use of
AI in a public/private service (communication, HR, etc.).

Day 2 - TAKING ACTION: FROM STRATEGY TO IMPLEMENTATION

1- Explore available tools and identify best practices (morning)

OBJECTIVES

Discover concrete and secure solutions to improve the performance and quality of public/private services.
 

Overview of accessible and relevant AI tools (ChatGPT, Copilot, Notion AI, Perplexity) for everyday use by teams.

Illustrated use cases

  • Writing, summarizing, automation, document management.

Limitations to be aware of

  • Security, bias, hallucinations, GDPR reminder.

Best practices for responsible and ethical use.

Guided demonstrations.

  • Automation, text generation, summarization, planning.

Workshop 3.

Testing AI live:
Practical exercises tailored to the context of organizations: role-playing based on simple everyday scenarios: text creation, meeting summaries, internal memos, citizen messages, analysis, reporting.

2- Building your responsible AI roadmap (afternoon)

OBJECTIVES

Provide participants with a method for integrating AI into their processes in a measured and ethical manner.
 

Define an AI strategy tailored to your management style.

Identify effectiveness indicators and conditions for success.

Integrate digital sobriety and ethics into implementation.

Anticipate training, communication, and support needs.

Steer an AI approach.

  • Assess impacts, measure results, and involve teams.

Workshop 4

Building my responsible AI strategy:
Formalizing an individual or team action plan. Each participant formalizes a concrete action plan to initiate the approach in their department.