Digitalisation for the Energy Sector

No. Modern platforms scale with your organisation, from small municipal utilities to large corporations. What matters is not the size of your organisation, but a well-defined scope: you start with the processes that deliver the greatest impact – such as centralised customer service – and expand as required.

Utilities providers also benefit from industry-specific solutions and preconfigured templates that significantly shorten implementation time. We provide technology-agnostic advice and work with you to identify the solution that best meets your requirements.

Artificial intelligence automates routine tasks, delivers accurate forecasts and improves decision-making. In practice, this includes the automatic classification of customer enquiries, forecasting churn risks, recommending personalised tariffs or energy-saving offers, and intelligent case allocation in service.

Autonomous AI agents can handle standard requests independently or escalate technical issues. A clearly defined use case with a robust data foundation – such as load forecasting or service automation – provides a more effective starting point than launching a broad AI programme all at once. This makes the impact measurable at an early stage.

AI can automatically classify and respond to recurring service requests or route them to the right team. This connects customer, contract and case data with the relevant service channels. Standard enquiries, such as questions about invoices, instalments or meter readings, can be handled more quickly, while complex cases are passed to team members with full context.

Through open APIs and standardised connectors, we integrate your existing systems, including billing systems such as SAP IS-U or S/4HANA Utilities, as well as other billing and backend systems. Using integration platforms and low-code/no-code tools, you automate processes end to end – from customer enquiries and quote management through to billing.

In practice, the most common obstacle is not the interface itself, but inconsistent data across legacy systems. That is why every project begins with a thorough assessment of data quality.

Portals and automated notifications keep connection applicants and installation companies informed of the current status at all times. Changes in the processing workflow automatically trigger the relevant communication. This reduces the number of manual status enquiries handled by customer service.

The starting point is the services customers need most frequently – such as contract data, invoices, instalment payments, meter readings or service requests. The portal is then connected to CRM, billing and other backend systems, ensuring information remains up to date and processes can be handled without manual handovers.

Data from smart meters and intelligent metering systems is connected to CRM, billing and service processes via interfaces. This allows consumption data to be made available in the customer portal, used for service enquiries or analysed to develop new tariff and advisory offerings. Clear data models, access rights and reliable integration of the systems involved are essential.

Dynamic electricity tariffs combine current pricing and market data with metering, contract and consumption data. Digital processes handle tariff calculations, proposal creation and customer communication, while providing relevant information in the portal or customer centre. Consumption profiles can also be used to tailor tariffs and offers more precisely to specific customer groups.