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Process Automation & Development
Fast and flexible adaptation of business processes to new situations is critical for the success and future viability of companies. Whether it’s improving the customer experience, making changes to the business model, or global crises which force companies to act, Scheer PAS enables change and innovation immediately!
Learn more in our whitepaperProcess automation means that a task or process is automated and no longer runs manually. This is done by software and mainly concerns digital processes and tasks that are classically done on a computer.
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Here, we not only make a low code / pro code development environment available, we support the complete DevOps Pipeline, including implementation, automation and monitoring. Finished applications and complete processes are continuously monitored, analyzed and optimized through process mining. The integration of AI services enables efficiency increases through automation and decision support (Decision Intelligence). Mobile working becomes the norm, whether in production, in the field, or in the home office.


The low code collaboration tool for model-based creation and management of microservices.
• Create processes with BPMN 2.0
• At the same time, carry out technical implementation in UML
• Use models directly as microservices (xUML)
“Whether it is onboarding in HR, complaints processes in service departments, request/application processing in public authorities, or forms in purchasing, these processes can only be mapped efficiently in home office, in mobile working, and in digital teams if they are digitized.”
Process Mining

See what’s really going on and intervene directly! Do you know
• how your processes really work?
• how well the involved IT systems interact?
• which workarounds, inefficiencies and performance gaps are present?
It’s time to find out!
The new normal – Too many digitization projects and not enough resources?

From digitization to automation – artificial intelligence makes processes more efficient
• Make business decisions based on a reliable dataset
• Free up employees from time-consuming administration activities
• Minimize error rates
• Significantly increase efficiency
All through direct integration of AI services in business processes