I really like how Automation Anywhere Agentic Process Automation eases my job. The system is very innovative, and I appreciate the work done by the agents, which lets me orchestrate them instead of having to manually write code. Review collected by and hosted on G2.com.

Sometimes it goes into an infinite loop, and I have to review it manually. It would be nice to have one prompt to build the agent tech workflow automatically, not just configure it by myself. I would like it to go through everything, learn about it, and suggest what can be improved. I want proposals, like three options, to choose from. Review collected by and hosted on G2.com.

The best part is that it’s very fast and gives me accurate answers. It uses AI to solve complex tasks, can work independently, and has decision-making capabilities. Review collected by and hosted on G2.com.

Automation Anywhere doesn’t have a framework like UiPath does. Also, sometimes the bot agent may not work as expected, and we have to keep checking its version each time. Review collected by and hosted on G2.com.

I really like Automation Anywhere Agentic Process Automation for several reasons. The intuitive low-code development environment with its drag-and-drop interface and pre-built action modules is fantastic, especially for training citizen developers without a coding background. The built-in AI and intelligent document processing functions are incredibly impressive, accurately extracting information from various document types, which is crucial for our clients' real-world scenarios. Its seamless cross-system integration ability is a major highlight, as it works with nearly all common enterprise software, saving us project time and ensuring smooth workflows. Also, the agentic AI-driven autonomy stands out, allowing bots to adapt to changing scenarios and reducing the need for troubleshooting. Its scalable citizen developer ecosystem with robust governance is essential, promoting safe and controlled automation development. The end-to-end lifecycle management toolkit, with features like process mining and an analytics dashboard, is very efficient for consulting projects. Additionally, its compatibility with German enterprise software and compliance standards is a huge advantage, and I appreciate its strong technical support and regular feature updates, which help keep our solutions stable and future-proof. Review collected by and hosted on G2.com.

One noticeable drawback we encounter is performance degradation when a large number of bots run concurrently. For our enterprise clients that operate dozens of automated workflows 24/7 across different business departments, we regularly observe task delays and system lag within the platform’s monitoring dashboard during peak hours. This issue becomes far more prominent when APA is integrated with resource-intensive ERP systems and professional accounting software. Additionally, advanced agentic AI features remain difficult for citizen developers to master. Business users struggle with complex document classification and multi-condition rules, demanding extra training support. Its built-in reporting tools also lack flexibility. Users cannot create fully customized reports or set up automatic scheduled distribution, so teams have to export and rework raw data manually. Review collected by and hosted on G2.com.

What I like most is how it moves beyond rigid bots to AI-driven agents that can actually make decisions, not just follow scripts.

It also stands out for handling messy, real-world workflows without breaking when things change.

Overall, it feels more practical for complex work, not just repetitive tasks. Review collected by and hosted on G2.com.

What I dislike is that it can get complex and hard to manage, especially when setting up advanced workflows or integrations.

There’s also a learning curve and occasional bugs/inconsistency, which can make debugging frustrating.

And honestly, the cost and effort don’t always justify it for simpler, rule-based tasks where basic RPA works better. Review collected by and hosted on G2.com.

As an Automation QA,Automation Anywhere Agentic Process Automation helps in automation testing by reducing manual work and speeding up repetitive test tasks, It can automate test data preparation, execute repetitive workflows and validate business processes across different applications. This saves time,improve test accuracy and allows QA teams to focus on more complex testing. Review collected by and hosted on G2.com.

Some features take time to learn, especially for ne users, Debugging complex automation workflows can be difficult, sometimes the platform s slow when working with complex process, error messages are not always clear so finding the root cause can take time. Review collected by and hosted on G2.com.

I like that it combines AI agents with process automation to handle complex workflows, make context-aware decisions, and streamline end-to-end business processes while keeping humans in the loop when needed. Review collected by and hosted on G2.com.

The main downside is the added complexity. Setting up, governing, and maintaining AI-driven workflows can require more expertise and oversight than traditional automation, especially during initial implementation. Review collected by and hosted on G2.com.

I like how Automation Anywhere Agentic Process Automation handles unpredictable workflows. The agentic framework allows the bot to reason through changes, adapt to variable inputs, and complete processes without needing human intervention. The biggest value is the massive reduction in IT maintenance and bot downtime. It means our automations are incredibly resilient, achieving the scalability promised, allowing our IT team to focus on building new solutions instead of maintaining broken bots. I also appreciate the seamless integration with our CRM and ITSM tools, making processes efficient. Review collected by and hosted on G2.com.

I find there's definitely a steep learning curve when moving from basic task recording to building true agentic workflows. It requires more technical know-how than I expected, which makes it tough for non-technical business users like me to get started without heavy IT support. I think it would be great if they provided simpler, step-by-step onboarding guides or more intuitive error explanations for beginners. The documentation is heavily geared toward developers, and as a business user, I often struggle to understand the 'why' behind certain model configurations. I need simpler, business-friendly documentation that explains how AI logic works in plain English, not just technical specifications. Review collected by and hosted on G2.com.

I really like the intelligence, flexibility, and ease of use of Automation Anywhere Agentic Process Automation. The biggest advantage for me as a QA analyst is that the bots handle dynamic scenarios and variations effectively, which reduces the amount of rework and constant changes needed in traditional automation. I appreciate the control room visibility because it gives me a centralized view of bots, execution logs, and performance, making it easier to track issues and debug failures. The low code approach is another aspect I like because it allows me to understand and work with bot logic without needing deep development expertise, improving collaboration between QA and development teams. I also value the platform's ability to scale and integrate with multiple systems, enabling us to automate end-to-end processes rather than just isolated tasks, which brings significant value to our business. Review collected by and hosted on G2.com.

Debugging and error visibility can be challenging because when a bot fails, it's not always very clear what exactly went wrong, needing multiple log reviews and scenario reruns. The learning curve for advanced features is steeper, requiring more technical expertise for complex workflows. There are some performance and stability issues, where bots sometimes need additional handling to avoid failures, especially with dynamic data or UI changes. The initial setup and configuration are slightly complex and time-consuming, especially in an enterprise environment. Lastly, although it executes processes faster, it doesn't automatically fix inefficient processes, so proper process design is crucial. Review collected by and hosted on G2.com.

What stands out to me is its ability to move beyond rigid, rules-based tasks and into autonomous, AI-driven workflows. The platform blends standard Robotic Process Automation (RPA) with advanced Large Language Models (LLMs), allowing digital workers to reason independently, adapt as variables change, and carry out end-to-end processes without human intervention. Review collected by and hosted on G2.com.

requires heavy trial and error with prompt engineering and is not as immediately "plug-and-play" as advertised. Common grievances include complex and expensive enterprise pricing, steep learning curves, brittle UI automation in dynamic environments, and occasional agent connectivity bugs Review collected by and hosted on G2.com.

I like the out-of-the-box integration adapters with the enterprise tools we have and the capability to build AI-driven automation workflows with a human in the loop. I also love the low-code platform capabilities to build automation workflows. The initial setup was pretty straightforward with vendor guidance and out-of-the-box integrations. Review collected by and hosted on G2.com.

I feel there is a huge learning curve for the teams to build complex end-to-end automation workflows with the AI agents built in. I feel some self-learning videos and more intuitive documentation would accelerate this learning curve. Maybe having more real-world automation use cases implementation with self-guided tutorials would help the users. Review collected by and hosted on G2.com.