usagesnumeriques.fr

What It Is

Usages Numériques is an AI adoption and transformation consulting website by Guillaume Augé, aimed at business decision-makers. It positions itself as an “AI lighthouse”: helping organizations use AI where it can create real value, rather than chasing buzzwords or deploying tools at random. The site is presented in French and includes articles and service descriptions covering AI strategy, adoption and change management, the PHARE method, and related topics.

Core Capabilities and Methodology

This is not a self-service AI software product that can be used online. Instead, it is a methodology for implementing AI in business settings. The public pages describe three stages: first, a 90-minute “diagnostic flash” to map current AI usage, identify three priority levers, and create a 12-month roadmap; second, a six-week guided implementation phase covering use-case selection, tool configuration, key team training, and measurable quick wins; third, a six-month cultural anchoring phase, using internal communities, recurring mechanisms, and AI governance to turn practices into organizational habits. Its core view is that AI amplifies existing processes—if the processes are chaotic, AI will simply create chaos faster.

Pricing and Delivery Transparency

The website does not disclose pricing, plans, payment methods, or a free trial. It mainly directs visitors to book a conversation via “Demander un échange,” suggesting a custom consulting model. The public information also lacks detailed customer cases, contract scope, delivery templates, or examples of success metrics. Before procurement, buyers would need to further confirm costs, timeline, consultant involvement, and how outcomes will be measured.

Pros and Cons

Its strengths lie in a practical methodology: it emphasizes mapping processes first, defining ROI, selecting use cases, and driving organizational adoption, rather than simply providing training or recommending tools. It is well suited to communication scenarios involving French PME/ETI companies and management teams. The downside is the lack of technical detail: it does not specify particular AI models, API integration capabilities, data privacy arrangements, or compliance measures, and there is no information about Chinese-language support. If a company needs a ready-made AI writing, customer service, automation, or API platform, this is not a direct substitute.

Best Fit and Access from China

It is better suited to small and medium-sized businesses, mid-sized companies, executive committees, and teams in France or French-speaking environments that are piloting generative AI but have unclear ROI. For Chinese users, the website’s accessibility from China cannot be determined from the available content, so China access is marked as unknown; payment methods are also not disclosed. If looking for alternatives in China, consider local AI consulting firms, corporate training providers, or building internal AI applications and governance systems around DingTalk, Feishu, WeCom, or domestic large-model platforms.