FORMATION IA
Priorités IA pour les Fondateurs et Dirigeants de PME
Repartez avec un plan d'action IA concret sur 90 jours, adapté à la taille et aux contraintes de votre entreprise.
Ce qu'elle couvre
Un atelier d'une journée conçu pour les fondateurs et dirigeants de PME de 5 à 50 personnes qui souhaitent identifier les deux ou trois cas d'usage IA les plus stratégiques pour leur contexte. Les participants appliquent un cadre de priorisation structuré, évaluent les outils disponibles selon les contraintes budgétaires des PME, et repartent avec une feuille de route actionnable, sans avoir besoin d'une équipe technique dédiée. Le format alterne courtes séquences pédagogiques et exercices pratiques basés sur les situations réelles des participants.
À l'issue, vous saurez
- Apply a structured prioritisation framework to select the 2-3 highest-leverage AI use cases for your specific business
- Evaluate at least five AI tools relevant to your operations against cost, ease of use, and data privacy criteria
- Write effective prompts for at least two recurring founder tasks such as drafting proposals or summarising customer feedback
- Produce a written 90-day AI roadmap with defined owners, milestones, and success metrics
- Identify the top data and compliance risks your business faces when adopting AI tools
Sujets abordés
- Mapping your biggest operational bottlenecks to viable AI use cases
- Prioritisation framework: effort, cost, and time-to-value for SMEs
- Evaluating and selecting AI tools within SME budget and skill constraints
- Prompt engineering basics for everyday founder tasks
- Identifying quick wins vs. longer-term automation opportunities
- Data and privacy considerations for small teams
- Building a 90-day AI roadmap with accountability checkpoints
Modalité
Delivered in person or as a live virtual session via Zoom or Teams. Materials include a pre-workshop business audit template, a use-case prioritisation canvas, and a curated SME AI tool directory. Approximately 40% instruction and 60% hands-on exercises and peer discussion. A follow-up 60-minute group check-in call at the 30-day mark is recommended to review roadmap progress.
Ce qui fait que ça marche
- Starting with one well-scoped use case that produces a visible result within 30 days to build internal confidence
- Assigning a single internal owner for each AI initiative rather than making it everyone's vague responsibility
- Allocating a small but explicit monthly budget for AI tools to avoid ad-hoc and unsanctioned tool sprawl
- Scheduling a recurring monthly review to assess what is working and drop what is not
Erreurs fréquentes
- Choosing AI tools based on hype or peer pressure rather than specific bottlenecks in their own workflow
- Attempting too many AI initiatives at once, leading to low adoption and wasted spend
- Underestimating the time needed for prompt iteration and team onboarding even with simple tools
- Ignoring GDPR and data residency implications when feeding business or customer data into third-party AI platforms
Quand NE PAS suivre cette formation
This workshop is not suitable for a founder who already has a dedicated data or engineering team and is looking for technical implementation guidance on a specific AI system — they need a practitioner-level programme, not a prioritisation framework.
Fournisseurs à considérer
Sources
Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.