RPA and Process Mining

ProcessGold delivers a solid process platform

to identify and develop RPA (Robotics Process Automation) opportunities.

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RPA has been traditionally limited to user-led standard, repeatable and transactional activities.

However, the actual process is often more complex and system driven.

Many processes are now system led, supported by big data sets. Traditional RPA techniques of observing and automating user-led action are not sufficient to accurately automate processes end-to-end.


RPA excellence now needs more inputs

To deliver full automation across end-to-end processes, new techniques are required to read server data alongside user-led action.



How Process Mining Reinforces RPA

Robotic Process Automation (RPA) makes your processes take your working speed to the maximum, and that is why it is on top of minds at the moment. The main reasons to use RPA in process optimization: quality improvement and cost-effectiveness.

But when does Process Minig come into play and how can you implement both techniques at the same time? Watch the full video explanation on how Process Mining and RPA can benefit from each other.

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RPA Implementation Case

ProcessGold delivers deep analytics on both system and user-driven process activity to identify all automation opportunities across the end-to-end processes.

Implementing ProcessGold alongside your RPA tool will help you:

  • Identify the processes that will benefit most from RPA.

  • Accelerate and monitor the delivery of RPA alongside process improvement opportunities.

  • Reduce or reprioritize RPA efforts when processes have been standardized and streamlined.


MENZIS - 2nd largest health insurance company NL.

Customer and operations (140 employees) department is taking care of 1.1 million declarations per year.

Problem: No insight in declaration processing, it seems is to be too labor-intensive.

Solution: Identified top 3 care providers to close contracts with and identified top 3 measures to automate process from 65% to 80%.

Result: Reducing manual activities of 33%, rework of 10% and throughput time of 52%.

Cost savings: Potentially dozens of employees.


A health insurer uses RPA to automate 80 percent of manual declaration processes.

Process mining identifies the types of care where results can be achieved quickly. This immediately leads to an automation degree of 62.8 percent.

More types of care are added in various improvement cycles. In the end, 76.5 percent of automation was achieved.