Robotic Process Automation services have long been known to help businesses save time, eliminate manual errors, and boost employee satisfaction rates. The increasing demand for automation has put a higher emphasis on RPA, given its ability to seamlessly automate complicated processes without errors.
However, RPA services can only help businesses automate efficiently if the right practices are followed during implementation and maintenance. Inaction or negligence here could require a large time investment from developers, as they would have to debug the code and manually spot errors.
In order to avoid that, what are some best-practices that you can follow?
Keep a Record of Everything
Developers must maintain thorough documentation of the processes that are being automated. The document, commonly known as a Process Definition Document (PDD) may include the developer’s aim, thought process, and workflow definition, among other things.
A PDD also includes the exact steps needed to complete a task from start to finish. This serves as a holy grail that can also help the organization train new recruits and make teams more project-ready. At the same time, given that the document contains information about error handling and exceptions, it helps businesses manually fix issues in times of exigency.
Breakdown Processes for Streamlined Workflow
Businesses generally automate processes that are complex and/or time-consuming. This also makes it likely that you’re automating complex steps that require a lot of actions. The key here is to ensure that they spend time and consider designing the layout. A well-segmented workflow with good design and easily readable code helps in increasing the understandability of the process, to stakeholders other than the developers.
This, mixed with each process having its own dedicated workflow, allows independent testing to take place, and also promotes collaboration by helping multiple developers to work on one process.
Include Logs to Have All the Data You’d Need
Logs are time-stamped files that record information, and send error notifications and cautionary notes associated with automation. The addition of logs enables developers to have end-to-end data about every business action taken. Developers can have a bird’s eye view of the tasks performed by bots as well as employees, with access to vital information such as log-in status, log-in ID, day of task, steps performed, etc.
Apart from being of great use for compliance audits, logs also help businesses keep track activity and perform early course corrections, if and when needed.
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