E.ON standardises grid data on SAP S/4HANA to scale AI

E.ON has standardised grid data in SAP S/4HANA and migrated its core ERP to a cloud platform, the company reported. The work covered the utility’s energy grids, customer solutions and energy infrastructure units, and serves about 47 million users.

The programme replaced heavily customised legacy systems with a uniform architecture built on S/4HANA’s in-memory database. Engineers standardised data tables, removed redundant middleware and shifted core ERP functions to the cloud. E.ON says the changes sped query performance and allowed telemetry from grid sensors to be processed in near real time.

The engineering organisation led the project and rejected fragmented, highly custom builds to limit technical debt and maintain scalability across the enterprise. Standardising the software stack and integrating established packages into a single architecture were steps taken to improve system availability and support analytics and automation.

Company leadership required a clear business case before approving large technology expenditures. Engineering presented projections showing continued investment in infrastructure and software maintenance would be necessary to keep systems stable, affordable and resilient as grid operations digitise. Over five years E.ON reports a 77% reduction in IT downtime.

As part of the programme E.ON hired more than 1,000 technical staff. The recruitment included about 500 data specialists and roughly 300 cybersecurity professionals to manage data lakes, governance and security for operational technology systems.

E.ON changed its software development approach, ending isolated innovation labs and requiring developers to build features inside the core architecture so tools go directly into production. The company adopted a BizDevOps model in which engineers and business analysts design solutions together and line staff receive training to operate new tools.

The company is taking a cautious approach to AI. Rather than building a new in-house AI platform, E.ON is working with established technology vendors and focusing on narrow, defined use cases: customer service automation, predictive maintenance and operational optimisation. Grid sensors stream voltage and other telemetry to the central S/4HANA instance; machine learning models analyse those feeds to detect anomalies and generate maintenance orders ahead of failures. E.ON says those automated workflows reduce emergency repair costs and lower the risk of localised outages. Customer service automation has been embedded into core systems to reduce call centre volumes and speed incident resolution.

Centralised governance was implemented across business units. Administrators put in place unified IT management consoles, standard contracting frameworks and strict access controls to enforce security and control licensing costs while keeping procurement timelines short. The company says production stability, cybersecurity and governance are priorities when deploying new software to live systems.

Sebastian Weber, E.ON’s chief information officer, explained that internal readiness is required to raise operational velocity and sustain higher delivery rates. He added that investments, prioritisation, people and culture must be aligned to support the updated architecture.

Utilities commonly operate legacy ERPs with heavy customisation that hinder upgrades and create technical debt. By standardising data models, reducing middleware and moving ERP to the cloud, E.ON aims to shorten deployment cycles for new features, enable real-time analytics and make AI applications usable at grid scale. The company presents the programme as part of its broader objectives on growth, sustainability and digitalisation.