Our journey started with the migration initiative. We had to migrate some processes from our legacy RPA solutions. Next, we started expanding to finance and HR, including integration with other platforms like ServiceNow and Salesforce. There are multiple teams within Paramount, like CBS News, CBS Studios, and Paramount Plus, so we've worked with them to find opportunities to build automation. We've explored multiple use cases that deliver a solid ROI, with a focus on low-code and now-code solutions.
Agentic Process Automation System (Now Certified for WorkSpaces)
Automation Anywhere, Inc.External reviews
External reviews are not included in the AWS star rating for the product.
Digital and effevtive automation
Automation anywhere an encrypted platform
Easy tool for creating automated workflow processes
Assess user-friendly the Automation Anywhere platform is for both technical and non-technical users.
Manual and Repetitive Tasks: RPA is particularly useful for automating mundane, rule-based, and repetitive tasks that are often time-consuming when performed manually.
Efficient, Optimized and digital Automation
OCR,
Elements Attributes
Detection model
Getting more details of a web page
That we dont have to miss single step which customer do in everyday life
Automation anywhere uses RPA and AI which allows businesses automate processes.
scalability to handle complex tasks
Excellent product for digital automation
Automation Anywhere uses RPA and AI that enables business automating end-to-end processes.
Enhancing accuracy and consistency in task execution, reducing errors.
Enabling the ability to scale operations without significantly increasing the workforce.
Providing an opportunity to optimize processes and improve overall efficiency within the workflow.
It helped us consolidate our systems be eliminating some mundane tasks involved in integration
What is our primary use case?
How has it helped my organization?
We have hundreds of application systems at Paramount, including legacy platforms. The merger required us to consolidate many of these systems, so there were many opportunities to use automation. One challenge we faced was that this process required someone to integrate the systems manually. It involved a lot of repetitive, mundane tasks to bridge those gaps. Automation Anywhere helped us accomplish those tasks.
The framework that previously existed was an on-prem solution. The transition to the cloud was a huge change. The second change was redesigning and refining existing processes. While we were undergoing migration, we talked to various customer groups and decided to revisit the processes and maybe remove some things that were unnecessary. We optimized processes and took the opportunity to revise what was on the existing legacy platforms.
There's a lot of buzz around generative AI, so we are considering that on an organizational level. At the same time, we are focusing on orchestrating end-to-end processes, not just the AI. We are having conversations with tech and business groups about solving enterprise-wide problems, and we can add AI into the mix when necessary.
I think there are many opportunities to add AI to existing use cases like legal, corporate, finance, and AI. Hopefully, we will start bringing more AI use cases to production, but we are still in the review and proof of concept stage. Still, the leadership is interested, and they've done a lot of research on AI, and we have a separate InfoSec team that must review everything. The VMware team also must review the technology. All of these AI technologies must undergo a stringent vetting process. I'm not part of that, but we share ideas and try to understand what's happening. Data analysis is a critical part. We must ensure that our data doesn't go outside the model, but we're open to any opportunity to improve our solutions and test out what makes sense. We'll try that and see how the end users respond.
What is most valuable?
Before switching to the cloud version of Automation Anywhere, I worked with v10 and v10, so I appreciate the core functionality and the fact that it's a low-code solution. That is one of the key elements that differentiates Automation Anywhere from other platforms and one of the reasons we have been able to achieve success.
It's accessible to business users with few technical skills. We've been able to add on to our current framework and build on our existing library of reusable components, allowing developers to build their automations quicker.
The time needed to learn Automation Anywhere has varied, depending on the user. We've taken on a large number of Cylance and Cisco developers. Some can pick it up quicker, but others take a little longer because of their prior project commitments. It's all over the place. It depends on how much time they can devote to learning the solution.
What needs improvement?
Many requested improvements are already on Automation Anywhere's roadmap, like a better governance model for AI systems. We also want to see more releases for autopilot/co-pilot from a generative AI perspective. We're expecting Automation Anywhere to release those in future updates, and as long as they maintain consistent improvement in their core functionality, I believe that will lead to success.
We have established connectivity with so many applications, so we build reusable components. We identify an application that business users might want to build, so we have a framework ready by the time they're ready to get onboarded and start developing. Automation Anywhere provides a seamless experience for utilizing those packages. They need to keep adding features so the solution doesn't stagnate. One example is email automation. There need to be multiple options for authentication available.
Automation Anywhere could add more tools to track the processes and ROI, so we can get a better understanding of the cost savings and compliance. We heavily track those metrics and make them available to the leadership for review.
For how long have I used the solution?
I have used the cloud version of Automation Anywhere since 2021, but I worked on the previous versions before that in past roles as a consultant.
What do I think about the scalability of the solution?
Automation Anywhere is highly scalable. That's one of the most significant advantages. We usually build a process on a smaller scale and then extend the capabilities. The scaling is relatively seamless.
How are customer service and support?
I rate Automation Anywhere support eight out of 10. We've had a great experience with tech support. They've helped us with significant challenges we've faced and worked with us on feature requests and bugs. We've had lots of collaborative discussions.
How would you rate customer service and support?
Positive
How was the initial setup?
Automation Anywhere is easy to deploy. Some processes can be deployed in a week, while the more complex processes may take four to six weeks. We have release controls in place, so everything is streamlined. All the deployment testing is handled before the automations go live.
Upgrading is simple because we're on the cloud platform. We don't need to upgrade anything. Maintenance takes place on the partner's side because the bot engine is installed and maintained there. We only need to install the latest packages to test the new features when they are released. That takes a little time.
What other advice do I have?
I rate Automation Anywhere eight out of 10. They have a lot of expertise with ERP solutions, and the core features are keeping pace with the market. Automation Anywhere is incorporating new components like generative AI and planning to release a new governance model, so there is constant innovation and the company is working to make things better for business users and developers. It's a competitive product that's easy to deploy and maintain.