RPA Quality: Check out these RPA requirements
With Robotic Process Automation (RPA), processes are automatically processed much faster and 24/7. Sounds good. But if the automation is not carried out correctly due to poor quality, it is of no use – and you are busy troubleshooting. The following aspects of quality therefore belong on every RPA requirements list…
If you want to roll out automation company-wide and install it “at the employee base”, quality assurance is a big challenge. The first step is to opt for a central automation platform instead of many decentralized silo solutions. In addition, the automation solution itself should offer high quality and quality assurance functions. A few quality requirements for RPA solutions #1: Evaluate automation potential Before you start with the concrete implementation of process automation, the very first question should be: Which processes are suitable for automation and bring the highest return on investment? A few RPA solutions have already integrated such a process evaluation. On a heat map, for example, the processes are positioned according to the traffic light colors red, yellow and green – depending on their suitability for automation and the resulting added value. #2: Guarantee the quality of RPA implementation RPA solutions are used company-wide by various users with totally different skill levels. This means that the quality of the created process automation varies greatly. Therefore, check what possibilities the RPA solution offers when it comes to enterprise-wide deployment. How does the solution carries out quality checks and approval processes, is there perhaps a user guidance through the various project phases, etc.? #3: Quality assurance functions A quality-oriented RPA solution has various quality assurance features, such as functions and mechanisms for error detection and handling. Four of these quality assurance functions are briefly presented here as examples:
  • Automatic error analysis: A so-called “debugging” function continuously identifies weak points in the automation process. And in the best case, the solutions offers information to the user how to optimize and improve the existing automation workflow.
  • Testing: Software developments are put through a test phase before they go live. A high-quality RPA solution makes testing a fixed step: Every automation process automatically runs through the testing process before commissioning.
  • Audits: Audits are a common procedure in companies to check compliance with standards. The same should your RPA solution do: integrated audit steps in the solution check whether the developed automation process meets certain quality standards.
  • Scenario handling: A good RPA solution is able to handle different scenarios of a process flow. Different branching options can be defined, this is important for self-healing mechanisms.
If you consider the subject of quality and quality assurance when selecting RPA products, you will not only get more for your money – you will also significantly increase the stability of your process automation. In return, you will be rewarded with fewer failures and breakdowns during operation. The automation platform XceleratorOne (X1) enables all phases – and all participants – of an RPA project to be controlled centrally through comprehensive lifecycle management. Using a methodology for user guidance, X1 guides users through all phases of process automation in a goal-oriented manner including many quality assuring features and functions, thus ensuring a high level of automation quality. Learn more about how Lifecycle Management RPA leads to high quality across the enterprise.