UiPath Agentic Automation Reviews & Product Details

I appreciate UiPath Agentic Automation's ability to combine AI, RPA, and human collaboration in one platform, which makes managing complex business processes smarter, faster, and easier. The integration of AI and RPA automates both repetitive and decision-based tasks efficiently, reducing manual workload and improving accuracy. I also find the initial setup relatively easy within the UiPath ecosystem, thanks to good integration support and user-friendly configuration options. Using it, I've been able to automate end-to-end business processes efficiently with tools such as SAP, Outlook, Excel, web applications, APIs, and databases. I would rate it a 9 out of 10 for its strong AI integration, scalability, and ability to automate complex business workflows efficiently. Review collected by and hosted on G2.com.

UiPath Agentic Automation could be improved with simpler setup and configuration for complex workflows, better debugging visibility for AI-driven decisions, and more detailed documentation for advanced use cases. Review collected by and hosted on G2.com.

I like using UiPath Agentic Automation because it's really helpful in automating business cases in finance and healthcare domains. It simplifies document automation, especially for PDFs that are unstructured or handwritten, achieving a 95% success rate, which reduces our day-to-day work and development efforts. I appreciate that as a senior developer, it has reduced the development effort significantly, especially in building the UiPath Agent by simplifying tasks like document and data extraction from four steps to just a prompt, saving us 50% in development effort and costs. The setup process is well-documented and structured, with resources readily available for implementing new features, making it smooth overall. Review collected by and hosted on G2.com.

One thing that didn't work well is the exception handling and identifying where exactly it is failing. Whenever the document was unrecognized or a new format comes, the system isn't always intelligent enough to identify where it is breaking and what the expected fix is. Review collected by and hosted on G2.com.

The UiPath Platform has significantly improved our automation efficiency and reduced manual effort across multiple business processes. Its drag-and-drop workflow, strong orchestration capabilities, and broad integration support make development faster and easier for our team. It has been reliable for both attended and unattended automation. The debugging tools, reusable components, and AI features have also boosted productivity and helped improve overall operational performance. Review collected by and hosted on G2.com.

UiPath Platform has significantly improved our automation efficiency and reduced manual effort across multiple business processes. The drag-and-drop workflow, strong orchestration capabilities, and integration support make development faster and easier. It works reliably for both attended and unattended automation. Debugging, reusable components, and AI features have also helped improve productivity and overall operational performance. Review collected by and hosted on G2.com.

I find UiPath Agentic Automation to be very good for our download and testing processes. The agent-centric automation gives us the flexibility to even analyze, reducing our dependency on the user a lot. It makes decisions on its own, and the initial setup was easy because the majority of the work was already handled by the UI Path team, so we didn't have to do a lot from our side. The product is also very user-friendly, which contributed to the ease of setup. Review collected by and hosted on G2.com.

An aspect that's not working well for me is the agent error and how it behaves when model changes occur. The way the agent reacts isn't based on any rule, and it seems like it has its own mind, which is concerning. Review collected by and hosted on G2.com.

What I like most about UiPath Agentic Automation is how it handles real-world complexity better than traditional rule-based systems. For example, in something like query allocation, routing tickets based only on basic rules or recency-based scoring often isn’t accurate because it doesn’t fully capture an advisor’s true expertise or context. With agents, the system can actually understand the nature of the query, evaluate past resolutions, and match it more intelligently to the right advisor.

That makes a big difference in both efficiency and quality. Instead of just assigning work based on static logic, it becomes a more dynamic and context-aware process, which leads to faster resolutions and better outcomes. It’s a simple use case, but it shows how agentic automation can solve problems that traditional automation struggles with. Review collected by and hosted on G2.com.

What I’d call out is more of a shift than a drawback. With UiPath Agentic Automation, decisions move from strict rule-based logic to more probabilistic reasoning. While this can feel less predictable at first compared to “if X, then Y,” it also enables more flexible and context-aware outcomes. The platform still provides strong visibility through logs, orchestration, and governance, so it’s not about losing control—it’s about adapting to a different way of working. Over time, as teams build familiarity and confidence, this shift tends to become a strength rather than a limitation. Review collected by and hosted on G2.com.

UiPath as an Agentic platform has changed how the automations would be working. The ecosystem that UiPath Agentic Automation has built makes it easier to monitor, run and see what goes in and out of the process. Maestro, as the name suggests is their most hyped product which makes the creation of Agentic workflows very streamlined and easy. It gives you the flexibility like no one else does. The audit trail which it generates is very self sufficient in itself. Review collected by and hosted on G2.com.

None so far have been found. The costing is one factor that is questionable. Rest everyone is loving how the products are evolving, with the introduction of AI, UiPath is on a fast ride. And we are all aboard it. Review collected by and hosted on G2.com.

I really appreciate UiPath Agentic Automation's ability to combine AI agents, RPA, APIs, and human involvement into a single intelligent automation ecosystem. It goes beyond just task automation, enabling end-to-end process orchestration for more dynamic and decision-driven workflows. The low-code development experience is another highlight for me, making it easy for both technical and non-technical teams to create and manage automations. I also like its strong integration capabilities with enterprise applications like SAP, Salesforce, Microsoft tools, and web-based business applications. Review collected by and hosted on G2.com.

While UiPath Agentic Automation provides strong capabilities, there are still a few areas that could be improved. One challenge is the initial setup and learning curve for advanced agentic workflows. Although the platform offers low-code development, configuring AI-driven orchestration, integrations, and governance for complex enterprise scenarios can still require experienced developers and architects. Another area for improvement is debugging and troubleshooting. When workflows involve multiple components such as AI agents, APIs, robots, and human approvals, identifying the root cause of failures can sometimes become time-consuming. More detailed diagnostics and simplified monitoring for agentic processes would help. Review collected by and hosted on G2.com.

I like that UiPath Agentic Automation combines AI-driven intelligence with automation, making it capable of handling complex business processes with minimal human intervention. It not only automates repetitive tasks but also makes contextual decisions, learns from data, and improves operational efficiency. Another aspect I find valuable is its user-friendly design and orchestration capabilities that allow businesses to monitor, manage, and optimize automated workflows efficiently from a centralized platform. Additionally, the strong AI-driven automation capabilities, scalability, enterprise integrations, and workflow orchestration are impressive, making it a great tool for organizations looking to optimize business processes and reduce manual effort. Review collected by and hosted on G2.com.

While UiPath Agentic Automation is powerful, there are a few areas that could be improved. Complex workflow configuration and AI model training can sometimes require significant technical expertise and setup time. In certain scenarios, handling unstructured data or exceptions still needs human review to ensure accuracy. Review collected by and hosted on G2.com.

I think UiPath Agentic Automation is user-friendly and very open to feedback from users. It's really great at sensing the pain points of developers and users, bringing in new features before they're even requested. This capability to address pain points proactively leads to better performance of tasks, which I find fantastic. The initial setup was straightforward and simple, making it a smooth experience. I feel that the UiPath Agentic Automation team deserves credit for these achievements, as the product tries its best to make things simple for the end user. Review collected by and hosted on G2.com.

I'm looking to see how UiPath Agentic Automation can keep pace with the fast pace at which AI is evolving and how quickly it can come up with features that are in sync with the rapid changes in the industry. Review collected by and hosted on G2.com.

I like how UiPath Agentic Automation combines AI, automation, and orchestration into a single platform that handles both simple and complex business processes effectively. It strikes a good balance between traditional RPA and intelligent decision-making, making the automation more adaptive and scalable. The platform is valuable because it allows us to automate processes that aren't fully predictable or purely rule-based. The initial setup was relatively smooth, especially for teams already experienced with the UiPath ecosystem and enterprise automation tools. Review collected by and hosted on G2.com.

In some complex enterprise environments, debugging and troubleshooting AI-assisted workflows can also take additional effort because decision-making paths may vary depending on context and input data. Better transparency and simplified diagnostics for AI-driven decisions would further improve maintainability & supportability. Review collected by and hosted on G2.com.