This blog article is part of our RPA (Robotic Process Automation) blog series and deals with scaling RPA utilization within a company by implementing an RPA factory along the defined guidelines of the Target Operating Model.

The benefits of a working RPA environment are immense, however the implementation of a large scale RPA landscape harbors it’s very own challenges and pitfalls. Capgemini has accumulated years of experience utilizing RPA factories for large implementations and mastered these challenges countless times. This article will dive into the factory aspect of Capgemini’s best practice approach and shed light on the working mode within these expansions.

Maintaining and slowly expanding on an existing and well-structured RPA environment is comparatively effortless. The challenge is getting there. Capgemini advises its clients to take the factory approach. This approach entails the practical application and scaling of the Target Operating Model which was defined in the previous stage. An RPA factory is set up along the guidelines provided by the Target Operating Model (e.g. structure, roles, processes) and consist of both process experts as well as RPA developers.

Usually there is a clear responsibility split within a factory. While the process experts evaluate and document processes for their RPA potential (e.g. using our ESOAR method* and data mining tools) while the developers concentrate fully on designing the required artefacts. These mostly independent tasks allow for a depended scaling of each side when needed and enables a rapid implementation mode while still being able to quickly respond to changing requirements and fix newly occurring errors.

There is no one golden way to set up a RPA factory: some clients prefer to have all resources in house and on site, others decide to outsource as many tasks as possible. Both are valid approaches and Capgemini is happy to help you determine which organizational structure is best suited for your company.

It does however take time to build up all the required resources in house. This is why Capgemini has spent years setting up their own RPA factories around the globe. Our seasoned RPA developers work according to the specifications of your Target Operating Model, will help get your RPA factory off the ground and provide you with a first, solid base of artefacts to expand on. As your dedicated experts slowly emerge we will gradually transfer responsibilities and tasks to them and into your defined target structure. This ensures a smooth transition while the process evaluation, documentation and artefact design stay on track.

Another benefit of Capgemini’s in house RPA factories is that they are able to absorb any short term spikes which might occur when a large number of artefacts need to be updated due to a substantial change in system user interface or the existing landscape is expanded by a new system.
For a factory to work and properly scale, it is essential that it is rooted in a solid Target Operating Model. This is its foundation and it will be a constant source of trouble if not set up correctly.

As an holistic service provider Capgemini can ensure that your RPA journey will be smooth and efficient from PoC over Target Operating Model all the way to full blown RPA factory.

*Capgemini best practice for process optimization (Eliminate, Standardize, Optimize, Automate, Robotize)

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About the author:

In his position as Consultant, Bastian Brakensiek advises clients in topics around process optimization with a focus on Robotics Process Automation (RPA) and Artificial Intelligence (AI). He is part of the Corporate Excellence and Transformation Team in Germany and the Netherlands. If you have any further questions, please don’t hesitate to contact the author Bastian Brakensiek.