Many AI-related POCs are currently emerging in the public sector. Yet, many of them will never move past the pilot phase—and will therefore never be deployed at scale.
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Local authorities and public sector organizations are facing new challenges today: optimizing resources, increasing efficiency, and improving accessibility. To address these, they are increasingly turning to digital solutions—and even artificial intelligence.
In 2024, 75% of regions and 62% of metropolitan areas have already launched AI projects. This figure reflects a genuine commitment to integrating this technology into the daily lives of their staff (47% of whom report that they "regularly have an excessive workload").
However, many of these projects will remain in the pilot or testing phase with a limited number of users and will never be scaled up.
Why do AI projects in the public sector struggle so much to get off the ground? The reasons cited are numerous: lack of budget, infrastructure, expertise, and public resistance. But what if many of these barriers could be overcome through solid, structured governance?
Governance—the art of creating a roadmap for project development from conception to operational use by identifying specific needs—often proves to be the missing piece of the puzzle when launching AI projects.
In this white paper, you will see how adopting clear governance from the very beginning of a project can maximize its chances of success.
The framework in which public sector actors operate and the definition of governance can seem complex at first. Our white paper provides a comprehensive analysis of the subject, along with testimonials from professionals and best practices to keep in mind for successfully launching your AI agent project!
