
What I find most remarkable about UiPath Agentic Automation is its ability to automate complex end-to-end processes, even those previously impossible due to their unpredictable nature. AI agents can analyze unstructured data, make autonomous decisions, and execute tasks without constant supervision, significantly expanding the scope beyond traditional RPA. This allows employees to focus on strategic activities while the agents process information at higher speeds and generate real-time insights. The platform is highly scalable, incorporates curative agents that automatically correct errors, and provides integrated governance with advanced security and access control measures. Furthermore, the agents self-monitor and continuously improve, making it easy to calculate an accurate ROI. Review collected by and hosted on G2.com.
Based on my experience with UiPath Agentic Automation, the most notable drawback is the high cost of licenses, which makes it difficult to justify for smaller projects. I have also faced a steep learning curve, as effective use of the platform demands advanced technical expertise. Setting up complex scenarios or handling edge cases has proven to be especially challenging. Additionally, I have observed that the platform uses a significant amount of computing resources, often resulting in slow performance on standard computers. There are also some limitations when it comes to process compatibility and version control. The main challenges I have encountered include the complexity of development, the difficulty of integrating unstructured business data, and the shortage of highly skilled professionals required to operate the system. Review collected by and hosted on G2.com.
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