FORMATION IA
Budget IA pour PME : où va vraiment votre investissement
Repartez avec un cadre budgétaire IA réaliste et des attentes de ROI claires pour votre PME.
Ce qu'elle couvre
Cet atelier d'une demi-journée aide les dirigeants et responsables financiers à construire un budget IA défendable couvrant les outils, l'intégration, la formation et le conseil. Les participants analysent de vraies répartitions budgétaires PME entre 5 000 € et 50 000 €, identifient les pièges courants et repartent avec un modèle d'allocation priorisé. Le format alterne apports courts et exercices de modélisation budgétaire sur leurs propres chiffres.
À l'issue, vous saurez
- Produce a first-draft AI budget allocation across tools, integration, training, and advisory for your organisation
- Identify at least three cost traps common to SME AI projects and explain how to avoid them
- Apply a simple ROI calculation template to two candidate AI initiatives using your own revenue and cost data
- Distinguish enterprise-grade features from SME-relevant ones when evaluating vendor proposals
- Prioritise a shortlist of AI investments by payback period and strategic fit
Sujets abordés
- Anatomy of an SME AI budget: tools vs. integration vs. training vs. advisory
- Realistic cost benchmarks for common AI tool categories (€5k–€50k range)
- Hidden costs: data prep, change management, maintenance, and vendor lock-in
- ROI frameworks adapted for SME timelines and team sizes
- What NOT to pay for: overpriced enterprise features SMEs don't need
- Build-vs-buy-vs-subscribe decision criteria
- Prioritising AI spend by business impact and payback period
Modalité
Delivered in-person or via video call in a single half-day session (4–6 hours). Participants receive a pre-work spreadsheet to capture existing tool costs before the session. Roughly 40% input/presentation and 60% hands-on budget modelling in small groups. A follow-up Slack or email Q&A channel is recommended for 30 days post-workshop.
Ce qui fait que ça marche
- Start with a concrete use-case shortlist before assigning any budget line items
- Reserve at least 20–30% of the AI budget for integration, data prep, and internal upskilling
- Set a 90-day review checkpoint to reallocate budget based on actual adoption data
- Involve the finance lead from day one so budget decisions are grounded in real cash-flow constraints
Erreurs fréquentes
- Allocating the entire budget to SaaS tool subscriptions while underestimating integration and change-management costs
- Choosing enterprise-tier AI platforms with per-seat pricing that far exceeds SME usage needs
- Setting ROI expectations based on large-company case studies that assume data infrastructure SMEs don't have
- Skipping a dedicated training budget and assuming staff will self-learn new AI tools on the job
Quand NE PAS suivre cette formation
This workshop is not the right fit for a team that has already deployed AI in production and now needs to optimise costs at scale — they need a financial modelling or MLOps cost-management engagement instead.
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.