A solid RPA platform
requires an understanding of how RPA software will interact with business applications in an enterprise IT environment over both the short and long term. It’s important to configure all the RPA infrastructure components (such as servers, databases, virtual machines) in such a way that the robots can perform smoothly regardless of the volume of work. Too often RPA operations are hindered by persisting issues of connectivity, access, RPA software upgrades or missing dependencies.
RPA development and production activities are very dependent on a stable RPA platform that allows each member of your robotics center of excellence to deliver their work on time and at the best quality. At the same time, a robust platform helps create confidence in RPA from the business side.
Proof-of-Concept RPA environments have very different requirements compared to an enterprise environment that is secure and able to scale. However, ensuring the right configuration of the RPA environment during the pilot phase will allow you to continue expanding RPA throughout the organization and save time, money and effort in the long run.
Digital Workforce RPA system architects have extensive experience in designing and setting up RPA infrastructure in various customer environments both on premise and in the cloud.