Process intelligence instead of AI gimmicks
Intelligent automation along the value chain
AI is only effective in the process context.
That's why we analyze complete workflows and define where automation creates real added value.
We define
Starting points
We determine where a process begins and which triggers initiate automation.
Degrees of automation
We determine which steps AI takes over - and where conscious human decisions remain.
Escalation rules
Clear threshold values ensure that complex cases are handed over to experts in a targeted manner.
Man-machine handovers
Automation and human expertise interlock seamlessly.
Control mechanisms
Monitoring, validation and feedback loops ensure quality and stability during operation.
Typical effects
Reduction of manual tickets
Standard requests are processed automatically. Teams concentrate on complex and value-adding tasks.
Shortening throughput times
Automated process steps speed up decisions and processing. Time-to-resolution is significantly reduced.
Reduction of error rates
Standardized logics reduce manual sources of error. Quality is systematically assured.
Relief for specialist departments
Routine tasks are automated. Experts gain time for strategic tasks.
Not an isolated prototype - but a functional product.
A reliable basis for decision-making - not an innovation project in the dark.
Our difference
Many start with a use case.
We start with a business case.