FORMATION IA
Pilots IA sous 10 000 € pour les dirigeants de PME
Repartez avec une sélection de pilots IA concrets, calibrés pour votre budget et votre équipe.
Ce qu'elle couvre
Les participants évaluent chaque pilot selon son impact business, la disponibilité des données et la complexité d'intégration, puis définissent des critères de succès clairs avant de s'engager. La session aborde les outils disponibles, les schémas d'intégration légers et un cadre de décision pour passer à l'échelle.
À l'issue, vous saurez
- Select 2–3 AI pilot candidates from a structured catalogue and justify the choice against your own business constraints
- Define a success scorecard with at least 3 measurable KPIs before a pilot starts
- Apply a go/no-go scaling framework to a completed pilot using real outcome data
- Identify the top 3 integration risks for your chosen pilot and name a mitigation for each
Sujets abordés
- Catalogue of 10–15 SME-ready AI pilots with cost and effort estimates
- Scoring pilots by ROI potential, data availability, and integration complexity
- Setting measurable success criteria before launch
- Low-code and no-code tooling options under €500/month
- Light integration patterns: webhooks, APIs, Zapier-class automation
- Go/no-go decision framework for scaling a pilot
- Common failure modes and how to avoid them
- Building a 4-week pilot roadmap with your own use case
Modalité
Delivered in-person or via video conference (half-day variants available for remote). Participants receive a printed or digital Pilot Catalogue workbook, a scoring matrix template, and a 4-week roadmap canvas. Facilitator-led instruction accounts for roughly 40% of the session; the remainder is structured peer work and individual use-case assessment. No laptops with dev environments required, standard browser access is sufficient.
Ce qui fait que ça marche
- Commit a named internal owner to the pilot for its full 4–8 week duration
- Define a binary go/no-go decision gate before the pilot starts, not after
- Start with a use case where current manual cost or error rate is already documented
- Limit scope ruthlessly, one workflow, one tool, one success metric
Erreurs fréquentes
- Choosing a pilot that requires clean, centralised data the business does not yet have
- Skipping success criteria definition and having no basis to decide whether to scale
- Underestimating staff time needed to supervise and validate AI outputs during the pilot
- Picking the most exciting use case rather than the one with the fastest path to measurable value
Quand NE PAS suivre cette formation
This workshop is not the right fit for a team that has already run two or more AI pilots and is actively managing models in production, they need a practitioner-level programme on MLOps or AI governance, not a catalogue-selection exercise.
Exemples de prestataires
Cette fiche décrit un thème de formation. Elle ne donne ni prix ni durée : ils dépendent du prestataire et de votre équipe. Le diagnostic gratuit vous dit quelles formations passer en premier.