Use of the most appropriate AI method (explanatory, predictive, generative, or cognitive; whether generic or customized) in a coherent manner across the organization. Use of methodologies and processes adapted to maximize AI adoption.
Mobilization of technologies enabling access to information at the right time, development and deployment of solutions, and orchestration of AI agents.
Enhancement of the entire internal information asset and external data through AI.
Activation of employee skills to make full use of AI’s potential and the organization’s ability to access the required expertise.
Mobilisation
Mobilization of AI in alignment with the organization’s strategic plan. Internal leadership culture promoting the use of AI in line with organizational values.
The organization uses the information contained in its data (e.g., dashboards) and generic AI tools (Copilot, ChatGPT) adequately but in a limited way. Regulatory compliance is met, but the governance structure is still limited. AI mainly supports efficiency and primary needs.
The organization designs algorithms with its own data or optimizes pre-built models and adapts the tools to its context. It can evaluate and monitor its AI tools and sets up a robust data infrastructure that facilitates large-scale deployment and enables optimal and responsible AI use aligned with the company’s strategic needs.
AI is fully integrated into processes, used responsibly, and supported by strong governance. Its development is aligned with the organization’s values. AI drives innovation and boosts performance.
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