Development of an Enterprise-Wide AI Strategy for an Energy Provider
For an energy provider, we developed an enterprise-wide AI strategy with a clear roadmap, new AI use cases, and recommendations on organization, infrastructure, and data management.

Challenge:
Our client, an energy provider, wanted to develop an enterprise-wide AI strategy to advance the use of artificial intelligence in a focused and structured way. The goal was to create a clear roadmap for AI adoption across the organization, define the organizational and technological prerequisites, and address opportunities and risks at an early stage.
Approach:
As part of the project, the core building blocks of the AI strategy were developed, including vision, KPIs, data privacy and security, data management, technological infrastructure, and organizational structures. In addition, the current state was assessed, existing AI policies were taken into account, and concrete implementation initiatives for the further expansion of AI across the organization were derived.
Outcome:
The project created the strategic foundation for building and advancing the use of AI across the company in a structured and targeted way. Specifically, the following results were achieved:
- Status quo analysis
- Definition of a best-in-class ambition for AI
- Design of a team structure comprising 11 FTEs
- Identification of more than 15 new AI use cases with clearly defined business value
- Definition of key workflows and processes
- Target picture for delivering 3 to 4 AI products and 1 to 2 AI services per year




