According to Forrester Research, by 2021 there would be over 4 million robots doing office, administrative, and sales-related tasks. Although Robotic Process Automation is a driving factor in streamlining enterprise data processing by creating a digital workforce of software robots, it creates a new set of challenges. The RPA solution of today becomes the RPA headache of tomorrow.
When RPA initiatives deploy, they operate "without a safety net" — because they automate different software that is not inherently connected. An RPA robot is at the mercy of every change, security update, and each defect of any application it controls. These become significant obstacles that restrict the expansion of that digital workflow.
In this webinar, we discuss those obstacles and see in a live demonstration how Polarion ALM can be used by IT departments to accelerate the expansion of RPA initiatives — showing how ALM acts as the RPA safety net by centrally collaborating the near-constant change of enterprise applications.
RPA robots operate 'without a safety net' — they automate across disconnected applications and are vulnerable to every change, security update, and defect in the systems they control. ALM provides centralized change management and traceability, so when underlying applications change, impacted RPA processes are immediately identified and can be updated proactively.
Polarion centrally manages the near-constant change of enterprise applications that RPA bots depend on. By tracking the RPA Toolchain in ALM — modelling tools, target applications, and bot configurations — IT departments can trace the impact of any application change across all affected automations, shifting from reactive error notification to proactive defect prevention.
Yes. Instead of waiting for deployed bots to fail, Polarion enables End-to-End Testing of RPA processes before deployment. Test cases trace back to RPA process models, and defects are linked to specific application changes — enabling rapid root-cause analysis and Agile re-deployment on the backbone of comprehensive traceability.