Process.Science

Process.Science is revolutionising the way companies analyse and optimise their processes. As the leading AI-based process mining platform, they offer ready-to-use plug & play process apps for all relevant business areas – from purchasing and production to sales and compliance.

Process Mining is a specialised form of data analysis that makes it possible to visualise and analyse real business processes based on their digital traces. Learn more about Process Mining. This technology reveals hidden inefficiencies and highlights specific optimisation potential.

The platform is characterised by its unique integration into existing BI systems. Unlike traditional Process Mining solutions, Process.Science works seamlessly with Microsoft Power BI and Qlik Sense. This enables companies to continue using their familiar working environment and to retain existing authorisation structures. The platform is available both on-premise and in all common cloud environments, ensuring maximum flexibility and security.

A particular feature on our road map is the AI-powered action point detection, which automatically identifies optimisation potential in processes and provides specific recommendations for action. Developed in collaboration with leading universities, this science-based technology enables companies to implement rapid and targeted improvements.

Implementation is carried out without long lead times – in most cases, the first insights are available in less than four weeks. Through direct integration into the existing IT infrastructure, Process.Science minimise training requirements and maximise user acceptance. Companies can work productively immediately and benefit from our solution.

Whether large corporation or medium-sized company - Process.Science supports companies in their transformation from a well-functioning to an outstanding company. Customers particularly appreciate the combination of state-of-the-art AI technology, ease of use and flexibility in implementation. Discover our success stories. With Process.Science, companies will find the relevant levers for their process optimisation - efficient, integrated and future-proof.

• Banking: Optimisation of credit processes and compliance workflows
• Logistics: Supply chain optimisation and supply chain efficiency
• Production: Increase in manufacturing efficiency and quality assurance
• Consulting: Data-driven process analysis and optimisation consulting
• Retail: Optimisation of ordering processes and merchandise management