Automation has transformed large-scale data pipelines and now protects sensitive information
What is our primary use case?
I work in the cloud infrastructure department where I automate Python codes and decode ETL pipelines. My usual use cases of Automation Anywhere involve handling large volumes of data that come into the data warehouses, so I manage the data around the ETL pipelines. I ensure with the codes, Kubernetes, and Terraform that everything runs smoothly without any interruptions to the stakeholders. This is my daily work.
What is most valuable?
The features of Automation Anywhere that I appreciate the most involve moving data exactly as needed. For example, I was working in the payment department where we have sensitive data, and when collaborating with colleagues from different departments, I had to ensure what data should be visible to them and what data should not. In that process, we use some tools to define that process and make available only sensitive data.
Other than moving data with Automation Anywhere, I have also appreciated the dashboards and infrastructures. I appreciate the dashboards because my main work focuses on this. I was working in multiple departments, and when I moved to this project, we were in the migration from AWS to GCP. There is a good understanding of those things. We have different engineering departments, and I was working half with security and half with the cloud.
In assessing the flexibility of Automation Anywhere's truly universal orchestration for integrating with different systems and models, I see that it's a kind of e-commerce company right now.
In evaluating the capability of Automation Anywhere's Automation Process Architecture, or APA, for improving orchestration in AI projects particularly, I mention that there are millions of records in the data when we are processing it to the data warehouse. For that, we need Automation Anywhere to replace a few people, making it easy to process the data. For example, if we have to sit and automate each dataset separately by hand, it will take a lot of time to handle the millions of records. With Automation Anywhere, it will automate everything. It's smooth, effective, and very quick. It will make it easy to maintain websites and everything in the backend team, and filter out the errors and everything will be automated.
The introduction of APA has helped my organization in closing the AI ROI gap, as we have certain AI models coming to market, and every company needs to be adaptable to that. Even small companies are including AI because it is making the process smoother, easier, and more efficient. That's the main reason for the importance of this development. Last week I spoke with one of the vendors, and they also echoed this. They demonstrated the sensitive data of the customers and how they are handling it with the help of AI and the dashboard and department infrastructure, which is why it is very important right now.
What needs improvement?
In terms of areas of Automation Anywhere that could be improved or enhanced, as I previously mentioned, it's mostly when processing the data pipelines. There is a main role where we are processing the data, and that is where it plays a key role.
For how long have I used the solution?
Before using Automation Anywhere, I did not use a different technology for the same use cases.
What do I think about the stability of the solution?
In assessing the reliability and stability of Automation Anywhere, I find it was nice. Currently, I am working where, for example, a customer has a ticket. I have to go through that and fix it while checking if there is anything on the related dashboard and infrastructure. If there isn't, I need to hand it to the firewall department, as they have to take care of it from there. In the process of taking care, there is a wall between them and me; they cannot fix the problem that I can, and I cannot fix the problem that they can, because there are different departments, different laptop servers, and everything. To build and maintain that, we need a developer.
Over the time that I've worked with Automation Anywhere, I have experienced downtime, crashes, or performance issues. Crashes happened before when I was working, and I have seen many downtimes. We worried a lot, and cost optimization is very important in the projects. We have to contact the supervisor or leads available on shift, take care of it from there, discuss it in team meetings, and proceed. I have to reach out to my lead first, then they will handle everything.
What do I think about the scalability of the solution?
In terms of how well Automation Anywhere scales with the growing needs of my organization, I can confirm it scales well, particularly to process millions of records.
Since starting with Automation Anywhere, we have expanded the usage, and the process was smooth. Through AWS Glue and Redshift, if we have, for example, a million records, doing it manually would take about a year. With automation, we can complete the process in one or two days or three days, but we need to define the categories of which department should go where. There are different factors we need to build in before processing the data. Then it will go smoothly, taking around fifteen to twenty days.
How are customer service and support?
I often communicate with the technical support and customer service of Automation Anywhere, and it was nice. Whenever I call them, they pick up. There's a little waiting time, but once they get connected, they do a good job troubleshooting the system. I would rate the technical support of Automation Anywhere a ten.
Which solution did I use previously and why did I switch?
Before using Automation Anywhere, I did not use a different technology for the same use cases.
Which other solutions did I evaluate?
Before choosing Automation Anywhere, I did not evaluate other options or other vendors.
What other advice do I have?
Centralized governance across agents and systems in Automation Anywhere is beneficial for maintaining consistency in my operations, and while I'm not currently working on that in this project, I worked with it in my previous project with Axis Bank. I worked with different departments on that, and I got the chance there.
Regarding whether there is anything else that I would like to improve, I have nothing further to suggest at this time.
I am aware of the pricing and licensing of Automation Anywhere for my company, and sometimes there are spikes and regular traffic. At those times, we have to go through the developers. That is a developer department, so it's not my area, unfortunately.
Automation Anywhere is deployed on cloud in my organization. My overall review rating for Automation Anywhere is nine.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Powerful Low-Code Orchestration Across Agents, Bots, and Apps
What do you like best about the product?
low code capabilities and orchestration across Agents, Bots and business applications
What do you dislike about the product?
User experience building capabilities for creating custom interfaces to show decision support tasks
What problems is the product solving and how is that benefiting you?
Building workflows for End to end business process transformation
Streamlined Automation with a Few Rough Edges
What do you like best about the product?
I like how Automation Anywhere Agentic Process Automation automates complex workflows without making the process feel complicated. Its user-friendly interface and smooth deployment are great, and it integrates well with different tools. It significantly reduces repetitive manual tasks, improves efficiency, and lets the team focus more on important work rather than routine activities. I also appreciate that the initial setup was fairly smooth, and the documentation and support team made the onboarding process simpler. It works well for managing automation needs across multiple teams and scaling operational workflows efficiently.
What do you dislike about the product?
One area where Automation Anywhere Agentic Process Automation could improve is troubleshooting during complex workflow failures, as debugging sometimes takes extra time. Some advanced features also require a learning curve for new users. In a few cases, integrations with third-party tools needed additional customization, and better reporting dashboards with more detailed insights would make monitoring easier.
What problems is the product solving and how is that benefiting you?
I use Automation Anywhere Agentic Process Automation to automate repetitive SOC and IT tasks, which saves time, reduces errors, and speeds up responses. It improves efficiency, allows the team to focus on critical work, and supports integration with various tools for smoother operations.
Smart Automation That Goes Beyond Basic Bots
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
It mainly solves the problem of manual, repetitive, and error-prone work, especially in complex workflows that involve multiple systems and decisions.
For me, that means less time spent on routine tasks and fewer mistakes, since the system handles them automatically.
The biggest benefit is it frees up time to focus on more important, strategic work instead of day-to-day busywork.
Streamlined Automation with Robust Capabilities
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
I use Automation Anywhere Agentic Process Automation to automate manual repetitive tasks like data validation and report checking, increasing accuracy and consistency. It handles process complexity and decision-making, adapting to various scenarios, which improves process reliability and scalability, minimizing manual oversight and enhancing control and monitoring.