ChatGPT pour les équipes : déploiement en entreprise

Ce qu'elle couvre

Ce programme pratique permet aux collaborateurs et aux managers d'utiliser ChatGPT Team ou Enterprise de manière efficace et responsable dans leurs activités quotidiennes. Les participants apprennent à configurer les espaces de travail d'équipe, à appliquer les paramètres de confidentialité et de gouvernance des données, à créer et partager des GPT personnalisés, et à développer des modèles de prompts qui produisent des résultats professionnels. La formation combine des sessions animées en direct avec des exercices pratiques en autonomie et des études de cas réels. À l'issue du programme, les équipes repartent avec une bibliothèque de prompts prête à l'emploi, des règles d'hygiène de l'espace de travail et un guide d'adoption partagé.

À l'issue, vous saurez

• Configure a ChatGPT Enterprise or Team workspace with correct privacy settings and user role assignments
• Write structured prompts using at least three business-grade prompt patterns (chain-of-thought, role-based, few-shot) that produce consistent, audit-ready outputs
• Build and deploy a custom GPT tailored to a specific team workflow and share it within the organisation's workspace
• Assemble and maintain a shared prompt library that the whole team can access and iterate on
• Draft and communicate an internal AI acceptable-use policy aligned with GDPR data residency requirements

Sujets abordés

• ChatGPT Team vs Enterprise: feature differences, pricing, and which plan fits your org
• Workspace setup: admin controls, user permissions, and SSO/SCIM configuration
• Data privacy settings: what leaves OpenAI, opt-out controls, and enterprise data protection
• Prompt engineering patterns for business tasks: summarisation, drafting, analysis, Q&A
• Building and publishing custom GPTs for team-specific workflows
• Prompt library creation and version management within team workspaces
• AI policy and acceptable-use guidelines for employees
• Measuring adoption and productivity impact post-rollout

Modalité

Typically delivered as three to four half-day live sessions (virtual or in-person) over two weeks, interspersed with self-paced practice tasks. Each live session is approximately 60% hands-on exercises and 40% facilitated instruction. Materials include a prompt pattern cheat sheet, workspace configuration checklist, custom GPT templates, and an editable AI acceptable-use policy template. A follow-up async Q&A channel is recommended for 30 days post-training to support adoption.

Ce qui fait que ça marche

• Designate internal ChatGPT champions in each department who receive deeper training and act as first-line support
• Launch with three to five pre-built use-case prompts relevant to each team's daily work to accelerate early wins
• Establish a shared prompt library from day one so institutional knowledge accumulates rather than sits in individual accounts
• Review and update the AI acceptable-use policy quarterly as OpenAI updates features and data handling terms

Erreurs fréquentes

• Deploying ChatGPT Enterprise without updating the company data-handling policy first, creating compliance exposure
• Treating the rollout as a one-off IT task rather than a change management programme, leading to low adoption
• Sharing sensitive client or employee data in prompts before confirming enterprise data opt-out is active
• Building custom GPTs without governance review, resulting in inconsistent or off-brand outputs circulating across the org

Fournisseurs à considérer

• Jedha (FR)www.jedha.co →
• DataScientest (FR)datascientest.com →
• Le Wagon (FR)www.lewagon.com →
• LinkedIn Learningwww.linkedin.com/learning →

Sources

• OpenAI ChatGPT Enterprise — official overview →
• OpenAI Help Centre — ChatGPT Team workspace guide →