Make RPA successful with a process-driven approach
Many RPA initiatives fail because the value achieved doesn’t even cover the
costs of gathering the process knowledge, plus implementing, refining and
maintaining the robots. Also, many automation opportunities are missed as the
wrong processes are automated - and there’s no structured, comprehensive
approach to managing the robotic landscape.
In fact, it is not enough to just implement a robot. What you need is a
best-practice solution covering all phases of automating processes. Then added
value is guaranteed by having a holistic view of the end-to-end processes.
This makes RPA itself a process: Process-driven RPA.
1. Use AI-based insights from process mining to identify and prioritize the
right automation opportunities.
2. Apply intelligent task mining to auto-discover the actual task sequence on
a click level.
3. Derive the working robot with only one click; refine and continuously