19. August 2025 By Stephen Lorenzen
AI with structure: How energy suppliers are successfully putting artificial intelligence into practice
The energy industry is in the midst of a profound transformation process. Regulatory requirements, rapid advances in digitalisation and a growing shortage of skilled workers are forcing companies to realign their structures and processes. Studies by the BDEW, Fraunhofer ISE and leading consulting firms clearly show that only those who strategically embed artificial intelligence (AI) will remain competitive in the long term. But how can the potential of AI be not only recognised but also successfully implemented in practice? In practice, four key success factors have proven their worth, complemented by a holistic consulting approach such as that offered by adesso.
The four key success factors at a glance
1. Clear business focus instead of technology-driven approach
The first and probably most decisive success factor is a consistent focus on business value. AI must not be an end in itself or be used solely because it is technically feasible. Instead, concrete problems must be addressed that open up tangible efficiency gains or new opportunities for companies. Whether it's optimising network operations, forecasting energy yields or automating administrative processes, sustainable acceptance within the company will only come about if the business benefits are clearly recognisable.
2. Involvement of specialist departments – AI as a change project
The introduction of AI is not purely an IT project. Rather, it is a comprehensive change process that requires cooperation between different departments. To design realistic use cases and avoid operational hurdles, expertise from operations, controlling or customer service is indispensable. Successful companies therefore rely on interdisciplinary teams that combine technological expertise with in-depth industry knowledge. By involving the specialist departments, solutions become practical, accepted and sustainable in the long term.
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3. Scalable architectures as a foundation
The technical basis is crucial for the future viability of the AI strategy. Cloud readiness, data availability and clean interfaces are essential not only for successfully launching AI applications, but also for scaling them. Companies must ensure that their data infrastructure is robust, flexible and expandable. Only with the availability of high-quality data and a well-thought-out architecture can AI solutions be rolled out efficiently and deployed across the board.
4. Active governance and responsible use of AI
With the introduction of AI, the requirements for ethics, responsibility and traceability are also increasing. Companies must establish clear governance structures to ensure transparency, quality assurance and compliance. Questions such as ‘How are the models' decisions made transparent?’ or ‘Which data may be used?’ must be answered at an early stage. Only through active governance can risks be minimised and the trust of stakeholders and regulatory institutions be gained.
The adesso approach: comprehensive support
In addition to these four success factors, experience shows that many companies need structured support. adesso relies on a tried-and-tested consulting approach that covers all steps: from the development of a strategic target vision to the selection of suitable technologies and the introduction and scaling of AI solutions. The focus is always on the question: How can the specific benefits for the company be maximised without overburdening operations?
Practical example: evm's AI journey
As the largest municipal energy and services company in Rhineland-Palatinate, the evm Group asked itself how it could use AI in a targeted and responsible manner. Together with adesso, the company developed a comprehensive AI strategy that took into account not only technological aspects but also cultural and organisational factors.
A key concern was the involvement of employees. Formats such as the ‘AI Café’ created a protected space for exchange and education to promote acceptance and reduce fears. At the same time, relevant use cases were identified in so-called interaction rooms, including the ‘letter checker’: a GPT-based web app that supports the creation of customer communications.
Within just six months, a viable AI strategy was developed, complete with a roadmap, backlog and initial lighthouse projects. evm benefited from a company-wide view of the maturity level, clear implementation recommendations and measurable results. For Christian Laus, project manager at evm, the structured and people-centred approach was the decisive factor: ‘The combination of methodological depth and practical relevance convinced us – we were able to achieve tangible results.’
Conclusion
The energy industry is facing one of the biggest transformations in its history. AI is no longer an optional tool, but a key lever for ensuring competitiveness and future security. Companies that maintain their business focus, involve specialist departments, rely on scalable architectures and take governance seriously are laying the foundations for a successful AI strategy. With a holistic consulting approach such as that offered by adesso, companies can follow this path in a structured and sustainable manner – and thus fully exploit the opportunities offered by digital transformation.
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