Energy & Utilities

Modernizing critical infrastructure – while operations continue

Energy & Utilities – Software Stability Under Regulatory Pressure

The energy market is facing far-reaching transformation requirements that demand a fundamental adjustment of IT infrastructure. Regulations such as the Energy Sharing framework (June 2026) and the solar package are increasing complexity in billing and operational control. In that environment, historically grown legacy systems and monolithic architectures are reaching their practical limits.

Addressing those technology challenges calls for a combination of Agentic Engineering, enterprise AI, and targeted system modernization. The priorities are clear: stabilize IT landscapes from SAP IS-U to grid management, increase process efficiency through straight-through processing (STP), and build the software agility needed to absorb regulatory change at pace.

Key Challenges

Rising regulatory implementation density. New market rules such as energy sharing (June 2026) and dynamic pricing models require substantial software agility. Rigid IT structures make timely delivery harder, increase administrative overhead, and raise the risk of compliance gaps under frameworks such as the EU AI Act and NIS-2. Autonomous AI agents can reduce the effort required for development, testing, and documentation of new tariff and market logic – enabling faster responses to regulatory change while lowering dependence on scarce specialist resources.

Scaling data processing for metering rollouts. The continued rollout of intelligent metering systems is driving a massive increase in data volumes. Many existing systems were not designed for those frequencies, which raises IT operating costs (OPEX) and can affect the performance of business-critical core processes. Targeted refactoring of SAP IS-U and billing landscapes keeps systems stable under rising data loads without letting maintenance costs grow disproportionately.

IT/OT convergence and grid intelligence. Connecting business IT with operational technology requires new security and integration concepts. Without a resilient integration architecture, decentralized resources create friction and potential instability across the landscape. Industrial AI – predictive maintenance, optimized load forecasting, and real-time grid analytics – depends on a sound IT/OT foundation and AI deployments that align with the EU AI Act and NIS-2.

Resource bottlenecks around legacy systems. System demands are increasing while the availability of specialists for specific legacy technologies continues to decline. That concentrates knowledge in a few individuals and slows the modernization required to improve operational efficiency. Conversational AI can reduce pressure on customer service by automating standard requests tied to complex billing scenarios, freeing capacity for higher-value work.

What We Deliver for Energy & Utilities

We combine deep utility-domain expertise with AI-first engineering to help energy companies manage the IT-side impact of market transformation. Every engagement draws from six proven offerings:

Regulatory-Ready Software Development. We deploy autonomous AI agents to accelerate the full software cycle – development, testing, documentation – for new tariff models, energy sharing logic, and dynamic pricing. Faster delivery at lower cost, with reduced dependence on scarce specialist resources.

Grid Operations AI. We implement industrial AI for predictive maintenance, load forecasting, and real-time grid analytics. Conversational AI handles high-volume customer inquiries around metering data and billing – STP cycle times under 5 minutes versus the 72-hour industry average.

SAP IS-U and Billing Modernization. We modernize SAP IS-U and billing landscapes incrementally toward a clean-core architecture. Targeted refactoring ensures stability under rising metering data loads. AI-accelerated code analysis and migration reduce timelines from years to quarters.

IT/OT Integration and Security Architecture. We design and implement resilient integration architectures that connect business IT with operational technology – from SCADA platforms to smart meter gateways. Full data sovereignty, NIS-2 compliance, and EU AI Act conformity built into every layer.

AI Governance and Compliance. We ensure that AI deployments in critical infrastructure environments meet EU AI Act high-risk requirements, NIS-2 obligations, and energy-sector-specific security standards. Architecture reviews, risk classification, and audit-ready documentation – delivered as a standalone assessment or integrated into delivery projects.

Managed Operations with Continuous Regulatory Adaptation. We run modernized utility platforms with SLA-based operations and reserved modernization capacity. Continuous implementation of regulatory change – dynamic tariffs, energy sharing, solar package pricing – with KPI-driven progress aligned to energy transition milestones.

Energy Experts

Personal contacts for modernizing critical infrastructure.

Dr. Christian Rehn

Dr. Christian Rehn

Managing Director & Principal Engineer

Ingo Schnabel

Ingo Schnabel

Principal Engineer & Senior Software Architect