Because AA’s developer environment runs entirely in a web browser, our IT team can avoid installing, updating, and maintaining heavy desktop software across hundreds of developer workstations. Review collected by and hosted on G2.com.

Intelligent document processing and the built-in process mining tools are often seen as less advanced than those in other RPA tools, such as Power Automate and UiPath. Review collected by and hosted on G2.com.

The solution has helped us to allow us to improve repetitive tasks, and we have created bots which perform repetitive tasks so that we can free our resources which can perform Productive tasks and increase our efficiency.it has also got less complexity so that non coder also can create bots Review collected by and hosted on G2.com.

I would recommend offering the solution as a web-based option instead of requiring a local installation, which can be quite challenging in complex environments. Also, it has less variety of activities for Excel. Review collected by and hosted on G2.com.

I use Automation Anywhere Agentic Process Automation to automate IT, SOC business tasks like alert handling, ticket creation, and workflow management. I appreciate how it helps reduce manual effort, improve accuracy, save time, and increase operational efficiency through AI-driven automation and smart decision-making. I like that it reduces manual work, human error, and response delay by automating repetitive tasks. I find its AI-driven automation and easy integration with multiple tools very beneficial. It helps automatically analyze task handling and repetitive processes, reducing manual effort. I also appreciate its strong automation capabilities. Review collected by and hosted on G2.com.

Automation Anywhere Agentic Process Automation is powerful, but the setup and customization can be complex for new users. Some advanced workflows require technical expertise, and troubleshooting can take time. Better out-of-the-box templates and simpler configuration would make adoption easier. Review collected by and hosted on G2.com.

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.