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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 monitor it from an operational and also a compliance point of view.
4. Reuse the task sequence and enhance it with contextual information to get a comprehensive view of your RPA landscape – accessible to all relevant stakeholders.
5. Finally, pitch your RPA success to management to ensure buy-in, ownership and a budget for future growth.
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