FORMATION IA
Conduire des diagnostics IA lors de missions clients
Maîtrisez les diagnostics IA de bout en bout pour produire des livrables que vos clients mettent en œuvre.
Ce qu'elle couvre
Ce programme praticien dote les consultants d'une méthodologie reproductible pour cadrer, mener et présenter des diagnostics de maturité IA chez leurs clients. Les participants traversent une simulation complète de mission : entretiens parties prenantes, scoring de maturité des données, priorisation des cas d'usage et restitution en comité de pilotage. Le format mêle cadres structurés et ateliers pratiques, et les participants repartent avec des modèles réutilisables, un référentiel de scoring personnel et la capacité de vendre et délivrer ces missions en autonomie.
À l'issue, vous saurez
- Design and price a structured AI diagnostic engagement scoped to a client's size and sector
- Facilitate a 90-minute stakeholder discovery workshop and extract scored readiness signals
- Apply a weighted scoring rubric to assess data maturity, organisational readiness, and use-case viability
- Write a structured diagnostic report with prioritised recommendations a C-suite audience can action immediately
- Deliver a 20-minute steering-committee presentation and handle pushback on AI investment decisions
Sujets abordés
- Scoping and pricing an AI diagnostic engagement
- Designing stakeholder interview guides and data-gathering questionnaires
- Scoring frameworks: data maturity, AI readiness, and use-case feasibility
- Facilitation techniques for cross-functional discovery workshops
- Use-case prioritisation matrices (impact vs. effort vs. risk)
- Structuring and writing a consultant-grade diagnostic report
- Steering-committee presentation design and objection handling
- Engagement risk management and ethical red flags
Modalité
Delivered over three to four weeks in a blended format: two live full-day virtual workshops bookending the programme, with asynchronous case work in between. Participants complete a real or simulated client diagnostic between sessions and receive written and peer feedback. Materials include a diagnostic playbook (PDF + editable), scoring spreadsheet templates, interview guide bank, and a slide deck master for final reports. Hands-on practice represents approximately 60% of total contact time.
Ce qui fait que ça marche
- Using a pre-agreed scoring rubric shared with the client sponsor before the kickoff, reducing scope disagreements later
- Running at least one cross-functional workshop mid-engagement to surface conflicting priorities before the final report
- Anchoring every recommendation to a quantified business outcome the client has already validated
- Building a short 'next-steps decision tree' into the steering-committee deck to convert insight into commitment
Erreurs fréquentes
- Jumping straight to tool recommendations before completing a thorough data and process audit
- Interviewing only IT or data leads and missing operational and commercial stakeholders
- Producing a generic maturity score without tying findings to the client's specific business priorities
- Presenting the report as a document review rather than a facilitated decision-making session
Quand NE PAS suivre cette formation
This programme is not appropriate for in-house AI teams tasked with internal capability assessments — the engagement-management and client-relationship components are irrelevant, and a lighter internal audit framework would serve them better.
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.