From concepts to concrete use cases
As part of the Digital Energy Bootcamp 2025, an artificial intelligence workshop brought participants together around a shared objective: transforming theoretical AI insights into concrete use cases aligned with the realities of the energy sector.
Organized into thematic working groups, participants worked with a structured canvas to analyze business challenges, define clear objectives, and identify the conditions required to implement relevant AI solutions.
This page presents the three use cases developed by the working groups, enriched with insights and recommendations from AI experts, providing an operational and directly actionable perspective.
Summary 1 – AI for Customer Relationship Management and Sales Processes
Automating, personalizing, and improving commercial performance through AI
Summary 2 – AI for Loss Reduction and Decision Support
Detecting anomalies, securing revenues, and strengthening operational efficiency
Summary 3 – AI for Energy Demand Forecasting and Management
Optimizing forecasting, grid operations, and the signals sent to end users
