My business Analysis team describes the cases, and my architect team works based on that. I look into how this architect team is working to fulfill the requirements of my client.

Our use cases mainly are for the financial domain. We are working for an international organization. The automation that we are building is going to be utilized in various projects for tracking the expenditures of projects, managing the budget, and maintaining the planning. The information is then returned to the core finance providers. 

We have integrated it with TMX and the public finance model. Government Resource Planning or GRP is integrated. We have implemented a lot of triggers to give all the information to various points.

We have our own architecture. It is able to take the information from the core engine, API engine, or triggers from databases or data pipelines and execute the process based on the defined logic. It is able to give information to various process owners using the workflow.

In most places, the processes are scheduled automatically, so it saves time because we are not executing any process manually. For example, we are able to get information about the utilization of the funds given to a particular country for a specific purpose. It triggers an alert if the funds are being spent in a particular area that is not allowed based on the business logic.

Being able to implement automation is valuable. We take the business logic and provide a solution to the client. Defining the intelligence pipeline is the most interesting and challenging aspect for me.

For us, nothing is complicated. It is quite easy. We have a competency and learning team that gives training to clients. It does not seem very difficult for them.

The approval process needs improvement.

We have been using this solution for approximately one and a half years. I do not directly use it, but my team uses it.

It is a private server farm where we have implemented AWS because the governments do not allow hosting on the cloud in most countries. This is a restriction from the government side.

We have two teams. One is the technical team, which is involved in network security and the server side. I am from the functional team where we are involved in all the services, all the applications, and all the databases. The technical team takes care of the software installation, maintenance, patches, and upgrades. We are only working on the application side.

I did not evaluate any other solution. I got the instructions from my company to use it.

We have a full-fledged deployment of automation in our organization, and we have a number of projects in the pipeline. There are definitely a lot of possibilities inside the organization, not only for me but also for my team members.

The main challenge currently is that we do not have proper resources, and the requirement of the client is very specific. Apart from that, I have not felt any problem with my team in deploying any of the solutions at the client site, so at this point in time, I cannot say that a specific technology is the best technology or that Automation Anywhere is the best. We are facing some challenges, and we are working on that. We are getting references of some of the other solutions, and we are working. We are doing the research every day and providing the solution to the client. Every day, it is a new challenge, and we are implementing the solution on the client site and understanding how to overcome those challenges.

At the moment, a person like me who is only working on one particular technology cannot compare it with other available alternatives in the market.

I would rate it an eight out of ten.

We use Automation Anywhere for our clients which consists of banks and a telecommunication company to automate their developing systems using bots. We receive the process definition documents from our clients and we developed a process that they need to approve before we can implement the automation.

With Automation Anywhere, we can automate high-priority projects first and gradually shift our focus to automating smaller, manually-driven projects.

It takes around three months to train non-technical people to use Automation Anywhere. We start training on simple Excel automation tasks and progress from there.

Automation Co-Pilot has helped increase productivity. The bots save three to five minutes for each small task per person and even more time on larger tasks. One bot can handle thousands of projects.

Automation Co-Pilot has helped save staff time for other projects.

Automation Anywhere successfully integrates automation into workflows, APIs, business applications, and documents. Everything runs seamlessly in the backend with no issues. 

Automation Anywhere offers valuable features, including command packages for PDF, Windows, XML, and Excel, as well as universal recording capabilities.

Automation Anywhere has difficulty collecting data from Citrix and Oracle applications.

Extracting customer addresses from Google that are not in a standard URL format is a challenge for Automation Anywhere.

I would like Automation Anywhere to make available more development tools, so our people can learn on their own and enhance their skills.

I have been using Automation Anywhere for just over one and a half years.

Automation Anywhere effectively automates our manual tasks at scale.

We clear up any issues in the testing phase, so once we are ready to deploy it is straightforward.

The solution itself is free unless we want to add the support option but we have to pay for the bots we use. There are two types of payment options: monthly or quarterly licenses for the bot agents. 

Between Automation Anywhere, UiPath, and Blue Prism I find Automation Anywhere to be the best with UiPath a close second.

I would rate Automation Anywhere an eight out of ten.

Upgrading Automation Anywhere is easy.

We use Automation Anywhere in multiple projects and multiple teams.

Maintenance is required for updating bots or if changes are made by the developers.

We have five to six people working around the clock who are responsible for the bot maintenance.

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. 

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.

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.

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. 

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. 

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.

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.

Positive

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. 

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. 

Vale is one of the largest mining companies in the world and Automation Anywhere is our primary process automation tool. We're using it globally across several branches and locations. There are multiple processes involved in mining, transporting, and shipping iron ore that benefit from process automation. We can also automate our corporate use cases, such as finance, HR, and back office processes. Automation Anywhere is integrated with our core company systems, including SAP solutions and some in-house applications we've built. 

Automation Anywhere enables us to standardize and replicate operations and processes. We have a lot of repetitive processes that are time-consuming to perform manually. We aim to increase productivity and save time for our business users. Over five years, we've saved about 68,000 hours. Automation Anywhere integrates well with our workflows and business applications. We haven't had any issues.

We see some cost savings, but we also tend to think of cost avoidance. We have some compliance and regulatory processes that need to be completed in a timely fashion to avoid fines and taxation on top of that. Our CoE is responsible for a critical portion of the automation. In addition to thinking of how we can automate existing processes, we create new processes. When you automate something that isn't optimized, the results aren't as good. 

We like Automation Anywhere's Citizen Developer program. We've been doing this for a while now. It helps to expand platform adoption within our company and encourage more people to use it. It has been good to see the engagement. We've done some events and hackathons and hope to do another one in November.  We like having an easy tool to share with our business users. 

It isn't hard for business users without technical skills to use Automation Anywhere. We've received positive feedback from them, saying it was an easy tool to learn, especially with the latest version. We set up a training program, and new developers can learn the basics in around a week and start programming bots in three weeks to a month. 

We are currently doing some PoCs for generative AI and trying to see if it fits, but we're also concerned about the safety of our users and information security, so our approach is always conservative. We don't want to do anything that creates unnecessary risk for the company. 

Our users would like more online community forums where they can exchange information. I would also like a better way to monitor and manage all the automations we have running within our systems because our CoE governance must be robust so we are always aware of what's happening.  

We have used Automation Anywhere since 2018.

There have been some changes in personnel over the years, but they have always been great people who provide excellent service and solve problems quickly.

We previously used Microsoft Power Automate.

The platform was not hard to deploy, but each company has its own security protocols to deal with. Once we worked through all the security requirements, it was straightforward. Automation Anywhere requires some maintenance. 

In the first year, we needed to adjust the size of the machines and optimize the bots. However, it hasn't required much maintenance since then. We developed some better processes in CoE governance to develop and track the bots, so it's much easier now. We set up alerts that send us messages when the bots have errors. 

In 2018, we looked at some other products on the market, but Automation Anywhere was a perfect fit. We didn't have any issues that Automation Anywhere couldn't solve. The critical factor for us was its ease of use. We liked the drag-and-drop interface and the low-code capabilities.

I rate Automation Anywhere eight out of 10.