Individual development with AI

AI systems that fit perfectly into your processes

Individual AI solutions create space for the essentials: they take the pressure off teams, speed up decision-making and make complex processes manageable. Instead of adapting to standard software, you get a solution that fits seamlessly into your processes – and grows with your requirements. This results in a real gain in productivity that is measurable.

Standard solutions often fall short in complex structures. Where systems are branched, data from different sources needs to be merged or specific processes need to be mapped, specifically developed applications are required. They structure information, link processes and control workflows in a targeted manner. They are not tied to a specific technology – whether cloud, on-premises or hybrid environments. Individual AI solutions structure information, link processes and control workflows in a targeted manner – open to technology, scalable and exactly where you need them.

„We implement tailor-made AI solutions that integrate seamlessly into your existing IT landscape and automate business processes – quickly turning your vision into a tangible reality.“

Jonas Fladung, Teamlead / Principal Consultant

Customized AI solutions that solve real problems

Whether in industry, project management or customer service – the use of AI pays off wherever large amounts of data need to be processed, decisions prepared or processes accelerated. Here are a few specific examples:

Intelligent maintenance in the energy sector

In wind farms, AI-supported applications detect at an early stage when a fault could occur – before a failure occurs. The systems continuously analyze sensor data, localize potential faults and automatically inform the responsible service teams with specific recommendations for action. This saves maintenance costs, prevents downtime and ensures a reliable power supply.

Automated customer inquiries in B2B support

Support receives dozens of technical queries every day – often with similar patterns. An AI-based solution automatically records, understands and prioritizes the requests. Recurring problems are answered directly, while more complex cases are intelligently pre-sorted. The result: shorter processing times, relieved teams and more satisfied customers.

Supply chain analysis in production

When supply chains are under pressure, speed counts. An AI application continuously analyzes all relevant parameters – from delivery status to weather data – and provides early indications of potential delays. This allows companies to take proactive countermeasures and avoid bottlenecks before they occur.

These examples show: AI not only brings technical precision, but also real added value in day-to-day business.

Some of the AI technologies we work with

Customized applications - from strategy to implementation

Successful applications are not created by chance. They are based on a clear analysis of the processes and the precise development of each individual component. From strategic planning to implementation – these six steps create the basis for AI solutions that control processes in a targeted manner.

1. AI strategy and consulting

It all starts with an analysis: workshops are held to identify potential, define suitable use cases and work out the data strategy. This creates a clear roadmap for implementation that is precisely aligned with the requirements. Decisive questions: Where does AI bring the greatest benefit? Which processes can be optimized?

2. Proof of Concept & Prototyping

The applications have to prove themselves. The first prototypes are created within a few weeks – clickable models that depict real scenarios and can be tested directly. User feedback flows directly into further development. This step shows which applications prove themselves and how they can be integrated into ongoing operations.

3. Product development & integration

Tailor-made AI solutions are created from a combination of machine learning, deep learning and backend and frontend development. Whether chatbots, recommendation engines or image recognition systems – each application is developed in such a way that it fits seamlessly into the existing system landscape and specifically improves processes.

4. UX design & AI interaction

Systems are only successful if they are intuitive to use. UX/UI design creates interfaces that make complex systems understandable and promote acceptance. The focus is on human-centered AI – applications that not only work, but are also understandable.

5. Data platform & cloud architecture

The technical basis is customized – whether Azure, AWS or on-premises. Structured data landscapes, data lakes and clear interfaces ensure that information flows and ML models work reliably. Open to technology and scalable.

6. Operation, monitoring & training

After implementation, the focus remains on operation and further development. Monitoring, retraining and practical training ensure long-term quality. This turns a project into a solution that delivers tangible results during operation.

Every company is unique - your AI solution should be too

In a personal meeting, we will find out where AI can really support you and your company, which processes will benefit and how applications can be created that fit exactly. Let’s talk about what your processes really need. Please feel free to contact us, we support you with experience, strategic vision and practical solutions.