01
Before anything is automated, it has to be clear what should be automated.
I analyse workflows β through structured interviews with the people who
live the process every day, or through process mining based on existing
system data. Ideally, the results flow into a professional process
management tool where processes live and are maintained and
continuously improved β as the foundation for governance, risk & compliance.
02
Automation is more than a single tool. Depending on the requirements, I combine
low-code/no-code platforms, classic workflow automation, robotic process
automation, intelligent document processing and decision management β all the
way to AI agents that make decisions on their own. The latter are the icing
on the cake: powerful, but never the only tool. The right mix always depends
on the process at hand.
03
The work does not end with go-live. A holistic system continuously measures
whether automation actually delivers: shorter lead times, fewer errors and
freed-up capacity for employees. Only when these effects become measurable
does the real Return on Automation materialise β and that is
exactly what guides my work.