When deploying RPA solutions, what is considered a best practice?

Conducting thorough testing before deployment is vital in RPA solution implementation because it ensures the solution operates as intended in a controlled environment before being exposed to actual business processes. This practice helps identify potential issues, bugs, or performance bottlenecks, allowing for necessary adjustments. Thorough testing encompasses various scenarios that the RPA bot might encounter, thereby minimizing the risk of errors during execution, which can lead to delays, inefficiencies, or disruptions in business operations once deployed.

By thoroughly evaluating the solution in a testing framework, organizations can validate that the RPA bots can handle edge cases, exceptions, and various data inputs effectively. This step is critical for maintaining operational integrity and achieving the desired automation outcomes. Furthermore, it increases stakeholder confidence in the deployment and promotes a smooth transition from development to live operation.