Modernize your energy processes

Many energy suppliers still manage critical business processes via Excel spreadsheets, isolated systems, and manual workflows. The market demands more: rising customer expectations, regulatory requirements, and growing competition make digitalization unavoidable. Transform your data and customer processes – from consumption forecasting to automated data exchange according to EDA standards.

The need for action is measurable

45%

fewer service interactions.
Energy providers that consistently digitalize their customer processes cut service interactions by 40 to 50%, while increasing self-service usage two- to threefold.

>20%

lower service costs.
Successful digital transformations in the utilities sector cut cost-to-serve by more than 20% through fully digitalized processes.

25%

productivity gain.
38% of working hours in the energy sector can be automated or supported by generative AI – a productivity potential of 25% for the entire sector.

What to do

Turn the energy transition into a strategic opportunity.

From AI-driven forecasting to automated market communication: these are the levers that turn regulatory pressure and rising customer expectations into a real competitive edge.

Operational value through the use of AI

Artificial intelligence already delivers measurable value in the energy sector today. The biggest lever is forecasting: how much will your own power plants produce next week? How will your customers' consumption develop? The more precise these forecasts, the more accurately you can buy on the energy market and steer your generation. Our AI models process weather, load, and generation data to deliver forecasts that lower procurement costs and reduce market risk. Automate CO2 monitoring and certificate verification. Build the strategic foundation for company-wide AI adoption: with an evaluation framework for generative AI use cases and an operating model that anchors AI as a permanent part of your digital infrastructure.

Case Studies

See how our partnership with clients transformed their ambitious concepts into market-ready, successful software solutions.

Schulstart

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A case study on transforming analogue payouts into a highly secure, cloud-native system featuring Apple Wallet integration and a biometric KYC process.

Oberbank

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In just six months, &amp transformed Oberbank’s legacy workflows into a modern, interactive consultation experience. By shifting from unstructured notes to a smart web application, the new system turns documentation into a strategic tool with quantifiable results. Discover how pragmatic architecture can bridge the gap between core systems and modern UX.

froots

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Based in Vienna, froots is an independent wealth management service offering active portfolio management and bespoke investment solutions. &amp was instrumental in extending the froots experience to mobile, leveraging a hybrid-native development strategy.

Farmdok

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FARMDOK is a robust field management that empowers farmers with data-driven decision-making tools. It consists of a smartphone app that records tasks directly in the field and a Webclient for the creation and evaluation of reports. &amp played a key role in evolving FARMDOK.

Zuko

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Zuko is a free rental service for mobile street furniture. It works similar to a public access parcel box, but with folding chairs. This allows you to use public space, such as squares and parks, even more easily and flexibly according to your ideas. &amp developed an app that enables the seamless control of these physical lockers.

ampGPT

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ampGPT is a privacy-first LLM-Chatbot directly integrated into the familiar working tools - Google Chat. It is based on Azure OpenAI GPT, providing powerful functionality while ensuring data privacy. The chatbot has the ability to retrieve information from various files, including internal company resources. &amp built the tool from scratch in only two months.

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Ready to future-proof your energy processes?

Change in the energy industry isn't a question of if – it's a question of when. The earlier you modernize your data and customer processes, the bigger your lead over competitors who are still waiting. Let's define the next step together.

FAQs

Find answers to the most common questions about our work in energy industry digitalization.

How quickly can we see the first production-ready results?

For focused projects, a production-ready MVP is achievable within a few months – for regulatory interfaces just as much as for digital application flows or cloud architecture reviews. This requires a clearly defined scope. Our projects run in short release cycles, which creates early visibility and reduces investment risk.

How do you work with existing, grown IT landscapes?

Grown system landscapes are the norm in the energy industry and a good starting point. What matters is putting the existing infrastructure to targeted use. The first step is typically a cloud architecture review: analyze existing systems, identify cost drivers, assess data quality. From there, legacy databases and data warehouses are migrated step by step, supported by AI agents that analyze code and documentation in parallel and accelerate the rebuild, instead of spending months on manual refactoring work.

How do you handle national market interfaces and regulatory processes?

Regulatory interfaces are a core part of our energy projects. Our teams bring expertise from numerous projects across the DACH region: they regularly work with EDA infrastructure for energy communities, REMIT-compliant data processing for European electricity market platforms, and regulatory-compliant onboarding flows for grid connections.

How is AI actually used in software development on your projects?

AI has been part of the solution from day one on our energy projects. Specifically, we put AI into production today in four areas: forecasting energy supply and demand, automated control of home PV systems and EV charging, CO2 monitoring with automated certificate verification, and the strategic evaluation of generative AI use cases for energy companies. For the latter, we build structured frameworks with clear archetypes and an operating model that makes AI adoption scalable across the company.

We operate or are planning energy communities. What can you do for us?

Energy communities are one of our core areas of practice. Our platforms read energy production and consumption for all members daily via the EDA infrastructure, run virtual billing accounts, and handle monthly billing fully automatically. We also build AI-powered optimization logic that distributes surplus energy within the community in real time. We know the technical and regulatory requirements of this field from projects successfully delivered across the DACH region.

What sets &amp apart from a traditional software service provider?

Our work starts with strategic framing: which use case has the strongest leverage, where a cloud architecture review makes sense before the next investment, and how regulatory compliance gets built structurally into software. Our team knows energy systems from the EDA interface to the edge device, from AI forecasting to the Power BI dashboard. That combination of technical depth and strategic perspective is what makes the difference.

Still have questions?

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