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FORMATION IA

De la Base de Connaissances à l'Assistant IA en Deux Jours

Transformez vos documents internes existants en un assistant IA opérationnel accessible à vos équipes, sans écrire une ligne de code.

Format
workshop
Durée
12–16h
Niveau
literacy
Taille de groupe
4–12
Prix / participant
€400–€900
Prix groupe
€4K–€9K
Public
Operations leads and IT managers in SMEs who own internal documentation and want staff-facing AI tools
Prérequis
Basic familiarity with at least one of Notion, SharePoint, or Google Drive; no coding experience required

Ce qu'elle couvre

Un atelier pratique de deux jours qui guide les responsables opérationnels et IT à travers tout le parcours de connexion de leurs sources documentaires existantes — Notion, SharePoint, Google Drive, manuels papier — à un assistant IA interrogeable par les collaborateurs. Les participants configurent au moins un outil en production (Notion AI, Glean, Dust ou Microsoft Copilot) sur leur propre contenu pendant la session. À l'issue de la formation, les équipes repartent avec un prototype fonctionnel, un guide de maintenance et une compréhension claire des bases de gouvernance des données nécessaires à un déploiement sécurisé. Le format est animé par un formateur avec 70 % de mise en pratique.

À l'issue, vous saurez

  • Configure a document connector in Notion AI, Glean, Dust, or Microsoft Copilot against your own internal content
  • Apply a structured document audit to identify which sources are AI-ready and which need cleaning
  • Write and validate prompt templates that return accurate, grounded answers from your knowledge base
  • Set role-based access controls so only authorised staff can query sensitive content
  • Produce a one-page maintenance playbook covering content refresh cadence and GDPR compliance checkpoints

Sujets abordés

  • Auditing and structuring existing docs for AI ingestion (Notion, SharePoint, Google Drive, PDFs)
  • Choosing the right tool: Notion AI vs Glean vs Dust vs Microsoft Copilot for your stack
  • Connecting document sources and configuring retrieval settings
  • Writing and testing effective internal queries and prompt templates
  • Setting access controls and user permissions for staff-facing deployment
  • GDPR basics: what data should and should not enter the knowledge base
  • Building a content maintenance and update workflow
  • Measuring adoption: usage metrics and feedback loops

Modalité

Delivered in-person or via live virtual classroom over two consecutive days (6-8 hours each). Participants must bring access credentials for their own document repositories on day one. The session is 70% hands-on labs and 30% facilitated instruction. A shared Slack or Teams channel is set up before the workshop for async Q&A and remains active for 30 days post-training. Printed quick-reference cards and a digital configuration checklist are provided. Remote delivery requires each participant to have screen-sharing capability and admin rights to at least one document source.

Ce qui fait que ça marche

  • Nominate one internal 'knowledge base owner' before the workshop who will be accountable for content refresh
  • Start with a single, high-traffic use case (e.g. HR policy Q&A) to prove value before expanding scope
  • Run a staff feedback loop in the first two weeks to catch hallucinations or gaps in source material
  • Document GDPR decisions made during configuration so future contributors follow the same rules

Erreurs fréquentes

  • Dumping all company files into the AI tool without first auditing quality — garbage in, garbage out answers erode trust fast
  • Skipping permission mapping and exposing HR or financial documents to all staff by default
  • Choosing a tool based on brand familiarity rather than compatibility with the existing document stack
  • Treating the workshop as a one-time setup rather than establishing a content maintenance routine

Quand NE PAS suivre cette formation

If the organisation has fewer than 50 internal documents or its staff already relies on a well-maintained wiki that everyone uses, the overhead of configuring an AI layer adds complexity without meaningful time savings — a better-organised wiki is the right fix first.

Fournisseurs à considérer

Sources

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