AI literacy and framing
Two masterclasses for the executive committee and the project team, then definition of use cases.
Customer case · Public institution · Morocco
Pilot lessons translated into architectures, prerequisites and scaling rules.

After AI literacy and the first experiments, define what makes it possible to make the assistants usable on a larger scale: quality of sources, anonymisation, integration and validation.
Two masterclasses for the executive committee and the project team, then definition of use cases.
Two iterations to compare the tools to documents, formats and real needs.
Definition of components, flows, orchestration and access rules.
Planning, governance, risks and prerequisites to be met before deployments.
Concrete applications for business teams.
Prepare specifications, recipe books and activity reports based on templates.
Structuring reports from heterogeneous sources, with anonymisation and proofreading.
Adapt monitoring to marketing needs and legal analysis.
Anchor the responses in the staff status and frame the voice collection.
A scaling roadmap based on five experiments, with architectures, governance and issues to be addressed. The framework distinguishes the tested uses from the deployments to be undertaken.
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