This Blue Prism Best Practices: The Ultimate Guide (2022) will help you to build a highly configurable, secure and reliable bot for your business process by –
Have you finished your development and getting the result you expected? Have you done RPA code review with utmost importance?
Even if we do with utmost importance there are certain areas where we fail to quickly check the quality of RPA code and best practices which later causes Bug or Production issues.
Sometimes it also results in inefficient BOT which makes more error than completing the task successfully. (Yes, it’s true…)
To reduce post-deployment defects and costs, its highly imperative to build quality control checklist before putting any bot into production.
Based on my experience, I have listed my RPA Design recommendations for RPA which serves as a quality control checklist.
In case you are looking for building Robust RPA solutions these quick checks will help you to reduce post productions issues and provide better ROI for your next automation.
Not only this it will also help you to adhere to compliance, security and audit challenges.
Let’s look at different areas of quality checks.
Adheres to the high compliance and security standards that each industry demands requires comprehensive checks to build Secure Robotic Process Automation. As the cost of failure in this sector can result in the incurrence of huge fines and even lead to legal action by federal agencies.
Here is quick check you need to ensure in your RPA project implementation.
If you fail to plan, you plan to fail. This holds true for RPA as well. It’s not advisable to jump on development without documenting your process.
Documentation of process depends on practices and guidelines followed by COE(RPA) and it differs organization to organization.
But here are some common minimal checks you need to do to ensure your RPA documentation are in line with best practices and guidelines.
Quality of bot development process and scaling the bot velocity is the topmost concern for many CoE (RPA Center of Excellence). The major challenge is the highly tedious task of manual reviews of RPA Workflows which involves Hundreds of Variables, arguments, activity, components, objects, process etc.
A well-designed process will help to minimize the operational issues and in-turn returns better ROI.
Here is quick check you need to ensure at the Process level.
Objects are building blocks of Process and they support the better reusability & modularity of the process design. You must check following at object level to ensure standard design practices.
Application Modeler is the embedded capability within Object Studio where the configuration to interact with Application UI elements exist. These elements are identified by the robot with the help of selectors (aka element attributes), which can be configured and updated to make them unique for each element.
It acts as the robot’s eyes, telling it where to find the item that needs to be clicked, copied or key text into.
You must check followings at application modeller level to ensure selectors don’t break when moving to production environment.
The common habit seen across is to cover the only the happy path of the process while building the bot but there may be many cases where the process gets halted.
Errors like failed logins, nonexistence directories, or no more disk space stop bot to perform its task.
Exceptions like a timed-out application, bad data, or a new screen within the application also halt the processing.
Whether it is business or application exception – Process should be designed to handle the exception and react accordingly.
For example, if a business exception occurs on queue item number two, the RPA bot should log the exception and prepare the environment to process queue item number three.
The bot should recover from exceptions and continue processing all the transactions. If an unexpected error occurs, the robot should notify a human operator via email and include a screenshot of the error message, when the error occurred, important argument values and the source of the error.
Here are a few quick checks you should do to ensure proper exception handling.
Over the past decades, many challenges of RPA tools and technology maintainability has been simplified through various design principles and best practices guideline set by CoE. This has helped in improving the average handling time of bot and directly improve your return on investment (ROI) by saving Operation cost of the control room.
Hence, it’s important to put efficient practices while designing the process and architecture of RPA bots.
If you thoroughly review the code and ensure that the above-said points are covered in your process design. It will help you to build a highly configurable, secure and reliable bot for your business process by –
Thanks for reading.