Automation Anywhere Reviews

I have been involved in multiple use cases for Automation Anywhere where we deal with healthcare professionals, event organizing where the bot manages event organization, reimbursement, and contracting processes. Additionally, I have worked with processes where trial capabilities of healthcare and medicine process-oriented functions have been established in the organization. Regarding the actual use case in the organization, the molecule discovery part was significant, where the RPA bot helped organize all formulas and rule-based processes involved in molecule discovery. These are the main high-level processes I have been involved in, all with high-value outcomes.

The flexibility of Automation Anywhere's Truly Universal Orchestration in integrating with different systems and models is evident since automations have been developed across multiple regions for 150 countries, covering all aspects of the processes in the organization, starting from healthcare professional automation to molecule discovery and document automation processing. This includes extracting key handwritten signatures and handwritten documents needed for invoice processing and completing reimbursement processes. The results of 150 bots are a testament to the reliability and stability of the bots in handling the entire dimensions of all processes.

Since I have been using Automation Anywhere from 2017 onwards, my most favorite feature would be the web scraping part, which is stable and reliable enough to orchestrate any kind of process that is involved at the organization level. The second most valued feature would be the intelligent document processing capability, called IQ Bot in the beginning. These are the two main features that I have valued most throughout my entire experience.

The web scraping feature of Automation Anywhere has been beneficial because most of the processes involve application interaction from the data level to the presentation level, and that is where the web scraping feature came into play as a crucial part for any kind of process that we were trying to automate, from simple form filling to payment approval processes. Everything involved navigation of screens, traversing between different fields, and multiple table interactions in the UI, which are not simple enough to work with, but Automation Anywhere was capable enough to bring stability and reliability to work across the dots and connect them, achieving high-value automation results.

I assess the reliability of controls to prevent infinite loops and retries in Automation Anywhere's deployment as excellent because Automation Anywhere provides the most reliable if-else conditional statements and loop retry functionality to handle any amount of data involved in the process. The data volume can reach up to 10,000 to 20,000 records in invoice processing or other processes involving document processing. In terms of stability and accuracy of document looping and retrying, I believe the platform scores 10 out of 10.

I believe Automation Anywhere can be improved by leading in the direction of seamless integration with the LLM models that are readily available today in the market. As LLM models are easily accessible as open source outside Automation Anywhere, I want to understand how Automation Anywhere would accomplish this on their platform to address the enterprise-level problems that exist today and create a mesh, which we call an agent mesh, to address each problem in different areas of the enterprise organization.

My name is Mohan, and I work in the pharma healthcare industry as a senior consultant. I have been using Automation Anywhere from 2017 onwards.

Prior to adopting Automation Anywhere, I did not use another solution to address similar needs.

In my experience, deploying Automation Anywhere is one of the easiest processes compared to other RPA tools. They call it Bot Lifecycle Management, where you build code with a no-code, low-code strategy, then place it in the version control of Automation Anywhere, known as the control room, and configure it as a package or extract and traverse between one environment to another. This is simple and easy for any new developer, and I find it to be a good feature.

I have seen a return on investment with Automation Anywhere, as we have achieved a value of 10 million for a single process in one year, helping that team to accelerate more and bring value to the organization.

The alternate solutions I considered before selecting Automation Anywhere included custom solutions with the available approved LLMs described in the organization.

Centralized governance across agents and systems is beneficial for maintaining consistency in my organization as it functions as a command center for a particular center of excellence of the bots. The system custodian looks after the entire global region of the bots, understands the pain points of each region, and assesses how the system and platform should be upgraded based on the needs of the organization and regional gaps. This approach has led us to build a center of excellence for RPA bots and work towards achieving that.

The option to buy, build, or bring your own tools and models has influenced my organization's automation strategy by allowing us to explore any models available in the market on an approved model level. We try to work with the approved models described by the organization and then explore through multiple tools and cloud platforms like AWS, where we can train, deploy, and explore the models.

The deterministic and agentic blended execution feature of Automation Anywhere affects the accuracy and efficiency of our processes. In simple terms, the deterministic approach is nothing but the rule-based, pre-planned steps involved in the processes. We use all the Excel-based commands, web scraping commands, and API commands to work with the deterministic approach and then try to integrate this particular set of solutions with the agentic part. I have not explored much on the agentic part, but this is the approach we use.

My advice to other organizations considering Automation Anywhere is to focus on the ease of doing things, even when the problem statement might be very complex in nature, and how to view and approach the vision of that problem to solve it in the simplest way that everyone can understand. I would rate my overall experience with Automation Anywhere as a 9 out of 10.

Earlier, I used Automation Anywhere for RPA whenever I needed to automate manual tasks or daily business-as-usual work. However, with the introduction of agentic capabilities, I am now solving more complex problems that go beyond deterministic automation by incorporating logical reasoning.

I have used both Automation Anywhere's deterministic and agentic blended execution features in one of my use cases. I cannot disclose the specific use cases, but I applied agentic capabilities where I needed to perform logical reasoning in understanding intent and maintaining context, while using the RPA part for regular automation to address one of my problems.

The features of Automation Anywhere that I like the most are Document Automation and native cloud offering.

Nobody wants to get locked into an ecosystem. If I want to host the solution somewhere, the native cloud offering is going to give me the freedom to use this at any cloud provider. The other feature I value is Document Intelligence or Document Automation. Although OCR has existed for a long time, it requires a lot of accuracy. With the Document Automation feature of Automation Anywhere, I get almost a good level of accuracy, and this helps a lot for full automation.

One of the benefits my organization has seen from these features is productivity in two ways. I am able to save a lot of time because of the automation. I do not need manual intervention anymore; manual intervention has been cut down by ten to fifteen percent. The productivity gains have been substantial.

I will rate the flexibility of Automation Anywhere's truly universal orchestration in integrating with different systems and models an eight today because bringing the agentic capability also comes with some complexity, and the world is evolving with this. Automation Anywhere has reached a high level, but there is still some scope for improvement, which I am very sure Automation Anywhere is working on and will be able to reach a ten.

Creating additional features depends on how the industry is moving. If something new comes into the market, I would definitely need to integrate it. However, based on today's conditions, Automation Anywhere is working very well. The only thing is that agentic capabilities are something that are evolving. I need the integration and the connector to be very smooth to use the features. Sometimes I need to navigate multiple places to figure out which features are available, which requires toggling here and there. The situation could be improved better by bringing some UI enhancements.

I have been using Automation Anywhere for three years.

My experience with deploying Automation Anywhere is that some things are very straightforward. For example, if I need to do GUI-based screen capture or some automation work, I can do it very frequently and very easily. However, when it comes to the agentic capabilities, there is still a gap where I need to figure out how the token consumption is happening and how my agents are talking with other agents. For example, when I was trying to bring some authentication, which I am not able to disclose the name of, I struggled a lot. I almost spent two weeks to get that authentication done because it was a third-party integration. The native offering is very good, but when I need to integrate with third parties, sometimes I face challenges.

Scalability is directly proportional to organizational growth. If there are more users and more processes running manually in the company, I am converting them into automation cycles and automation processes over time based on process priorities. With the scale of the system and the scale of the organization, Automation Anywhere is also scaling proportionally.

Any organization has to think about what to buy, what to build, and how they will be able to leverage the existing infrastructure or bring new things in. For example, if I have a good number of resources and all the capabilities, I will definitely put focus on building. However, if there are some ten features, why should I reinvent the wheel when these features are commonly available in the market? I should go for those features which Automation Anywhere gives as a default part of the package and use them. The ability to bring your own model is very important because nobody wants to be stuck with one model. I am part of an AI team where I head the AI function, and I need to make models and machine learning models every day. I need to fine-tune them and have the flexibility to do research and development with the models and bring my own models. These features help a lot because I do not have any locking. I can bring my own models, use the native feature of Automation Anywhere, and stitch them together to get the outcome.

The decision process is simple. I need to first evaluate how many team members and how many processes are running today in the organization manually. It should not be that only two members are doing the whole process and I need to bring automation. I should be very careful if the number of people doing the same thing daily is high and the volume is high, then I need to bring this automation. Then I will be able to automate the things and convert manual processes to automated processes. I will be able to use agentic or simple RPA. However, these are the criteria which I would suggest everyone go by before deciding to implement automation.

For any automation to be a success, I need to define the process very well. I am thankful that the process feature and process mining and process discovery feature of Automation Anywhere helps to do one level of check to identify the processes which are part of daily activity and part of business-as-usual. This helps a lot.

There are a lot of controls given in Automation Anywhere's native application. I am able to put guardrails and thresholds so that in case nobody is able to harass the system or do anything wrong, and if it crosses the threshold, I can stop it. This feature is already part of Automation Anywhere.

Governance is a very important question and something which is the need of the hour. Today, when agents come into the picture, I have a lot of integration ways. Whenever I want to integrate some third-party system with Automation Anywhere, I need to do integrations. Governance will be the key to drive everything. The centralized governance which Automation Anywhere offers is a very important and key offering. I am able to see how many runners and loaders there are, how my APIs are doing, what my threads and agents are doing. I am able to track it and govern it. If something is going down or going wrong, I am able to stop it. This is one of the important features.

I rate Automation Anywhere an eight today because, if I speak only about basic RPA and basic automation, I can give it a ten. However, with the new evolving features such as document automation and AI coming into the picture, Automation Anywhere is doing great, but there is scope for improvement. Also, many systems are available in the market now, and getting the integrations and connectors is not an easy job, which Automation Anywhere is already doing. Overall, I can give them an eight as my rating for this review.

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.

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.

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.

Before using Automation Anywhere, I did not use a different technology for the same use cases.

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.

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.

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.

Before using Automation Anywhere, I did not use a different technology for the same use cases.

Before choosing Automation Anywhere, I did not evaluate other options or other vendors.

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.

My primary use case for Automation Anywhere was accounts receivable automation, where bank statements arrive by email in different formats and the process requires collecting attachments and normalizing transaction data, checking dates and amounts and removing duplicates, and after this we have to prepare valid records for SAP and the bot should also capture posting outcomes and prepare a reconciliation report so that the business end users can get a wide view and a report on what the bot has done and what the outcome is.

Handling different email formats and attachments in Automation Anywhere is straightforward; we just need to add the Outlook configuration tool and use its activities, and as soon as we get an email from a respective user, we use regex and download all attachments and place them in a shared folder where the bot will have access to it and can start processing the workflow.

I utilize document automation in my current processes, where data comes in semi-structured or unstructured documents such as invoices, and at each stage, there are multiple activities that we need to perform, crucial for the document processing workflow.

We have not implemented agentic blended execution, but at the POC level, we have implemented the agentic blended feature, where we would actually need agents for the brain to think and respond when small parts of human intelligence are required.

Automating back-office processes and automation workflows has positively impacted my organization, as before automating, the human effort has been significantly reduced, and we can cut off three to four hours of their work per day and reduce it by using this bot, reducing the daily task from four hours to 30 minutes and saving three and a half hours per day or 70 hours over 20 working days.

I have worked on document automation, specifically where the data arrives in semi-structured or unstructured documents such as invoices, and the workflow extracts fields, applies validation rules and routes uncertain results for review, especially in finance, where we need to validate invoice number, supplier, date, currency, amount and any available purchase orders.

Automation Anywhere has helped us achieve significant automation goals, as before automating, two to three humans performed the same task and using Automation Anywhere, we cut down the daily task from four to five hours to 30 minutes.

Document automation has saved around 30 hours a week and around 200 hours per month, helping us significantly in reducing time.

Automation Anywhere offers many best features.

A couple of the features that stand out to me the most are the Control Room, which helps organizations control production access and avoid mixing development changes, as separating the roles helps organizations control production access and avoid mixing development changes, and the workload management, which handles independent transactions into work items, and each element is really helpful.

With respect to analytics, Automation Anywhere also provides packages where we can add more analytical features; for example, once we complete performing a reconciliation or automation workflows, we require an analytical report for business end-users so that they can have a better understanding of what the bot has performed.

Governance and security are important for an organization, as when we create an agent and deploy it on a server, we must be very careful because data governance and security are paramount, and Automation Anywhere provides governance and security where one can believe and adhere to it.

Regarding Automation Anywhere's AI capabilities, the accuracy and reliability of output is very high, especially with the healing agents, which is beneficial when certain selectors have been changed.

I used Automation Anywhere's AI Agent Studio when it was in staging phase, in the pre-deployment phase, and I had a good experience working in the AI Agent Studio where we can provide user prompts, system prompts, and knowledge base that acts as context around the agents.

Automation Anywhere is best, though it could bring more edge cases where users can interact with conversational agents and coded agents; it is still effective.

With respect to the user interface, everything works well, but the community expects more clear documentation with respect to use cases and end-to-end use cases, so one can understand how to handle these scenarios effectively.

Automation Anywhere has been significantly improving and working on additional cases and improvements they can come up with.

I have been using Automation Anywhere for two years, and it has helped very much, proving most valuable when it comes to automation, with relevant capabilities like Control Room and other tools where we can use it and perform exact automations.

Automation Anywhere is stable.

Automation Anywhere's scalability is good, as scaling requires both execution capability and design that allows work to be distributed across multiple bots.

The customer support is very good, as they are supportive and resolve issues we face within two to three days.

We have been using UiPath as well, and both offer RPA development and application integration, document processing capabilities, where I test the same workflow on both platforms and compare the development effort.

I have seen a return on investment, as we have been reducing manual effort and a four to six hours task that a human completed, the bot is doing in 30 minutes, showing significant improvement when automating a workflow.

With respect to pricing, I evaluate it as a full cost of ownership and I believe it is not too high, as a high volume process can justify higher costs if the measurable savings are strong.

Before choosing Automation Anywhere, we would evaluate it with UiPath and compare costs to determine which platform offers the best value for our needs.

Automation Anywhere is deployed in our organization on a public cloud for internal use, while for client services, we deploy it on-premises, where they would have their own servers and dedicated laptops.

For our public cloud deployments, we predominantly use Azure and AWS.

I would advise starting with stable and repetitive processes and establish a stable version control environment, securing credentials and handling exceptions effectively to ensure success.

I would rate Automation Anywhere a nine out of ten because it has helped us in each and every aspect by improving the ROI and reducing the human headcount, as it has all the relevant capabilities to improve automation outcomes.

My main use cases for Automation Anywhere include document processing, payments, and customer pharma-related automations.

Some additional examples of my use cases are vendor invoice processing and intelligent document processing and payments for the normal people who are in the pharma domain in the United States and other regions.

Document Automation is used in our current process.

AI governance for maintaining compliance and data integrity is very much required to maintain the integrity and data integrity of our organization. We don't want to have any loose ends in the organization. For the effective utilization of an AI agent and to use it in the way it's supposed to be used, governance is very much required.

The impact on efficiency from Document Automation is significant. We are trying to get some data from the PDFs, and that is where we use this automation and document automation. We are trying to get data from basically unstructured PDFs. This has given us approximately 70 to 80 percent of savings. With respect to efficiency, there is almost close to 90 percent of efficiency, and with respect to the cost saved per person basis, it represents approximately 70 to 80 percent of an FTE.

To improve Automation Anywhere, I feel that the recent launches are not marketed to the granular level yet. There are some restrictions where I need to connect with the Automation Anywhere team to get some things resolved or gain access. Detailed documentation and an easy approach or easy access to all the latest releases would help.

I have been using Automation Anywhere for seven years.

In the age of Agentic AI, I think the biggest challenges for my organization are scalability and the cost metrics for the agents.

Before adopting Automation Anywhere, I did try other tools very similar to this, such as UIPath and even Blue Prism to some extent. I found Blue Prism to be more costly than this at that point in time, and I don't think it's used anywhere now. However, I feel Automation Anywhere is at par with respect to UIPath and has even crossed it in some areas right now with the leverage it is providing concerning the flexibility of the functions.

Regarding the pricing, I think it's high, and it's the same for the setup cost and licensing. Automation Anywhere has moved to the SaaS environment, and with the latest release I saw today, we don't need the dependency on a bot agent or a virtual machine to run a couple of applications. This approach is what we were actually waiting for because previously, the Automation Anywhere license was tied to one virtual machine per license. The licensing cost and the virtual machine costs are high for the company when the resource pool is larger. Now we are going to the cloud instance, which resolves that problem.

The main challenge and objective I am looking to solve with Agentic Process Automation involves a couple of applications which are on the legacy side, which could not be feasible for the current set of Automation Anywhere features, but they are a very good fit for the AI agents. I am trying to explore that.

Agentic Process Automation has helped me achieve the automation goals that I needed. They achieved it by getting the APIs, which means the overall turnaround time for an automation reduces drastically. I can directly build an automation in a couple of days if I have the API. If I don't have the API, then I need to follow the approval workflow. That takes some time, and then I need to get access to applications, follow the workaround, and see the available options in Automation Anywhere. That is a workaround which everyone should try to avoid.

I have started to use the AI Agent Studio to build these automation processes.

I am currently exploring this further. We have very limited access to Automation Anywhere in our organization right now. The licensing cost is very high, so we are trying to use it wherever it's necessary only and not on a learning perspective yet.

Governance is very important for my organization. It has to follow the organization's standard policies and all. Governance is very much required. We don't want to use an AI agent and do some unnecessary work which could lead to a huge loss to the company going forward. We also don't want to do any repetitive tasks by the agent. Governance and cost metrics are required.

The feature meets this need for the company.

We have not used the Autopilot capability or Automator of Automator AI yet.

I don't use the COE Manager. I don't personally have that level of access.

Deployments were a bit difficult earlier. We had to follow some set of procedures. We had to move from Dev to QA to Prod. The file movement and the code movement were not so easy earlier. However, with the cloud instances, we can directly deploy it, and testing has also been very easy nowadays.

With the last three versions, I can say that deployment has improved. Basically, when it moved to A360 versions and above that, the improvements became evident.

This review receives a rating of nine out of ten.

My main use cases for Automation Anywhere involve its strength in the banking sector, as I worked in the banking sector earlier. Currently, I am working in the healthcare domain, and I strongly believe that the UI which we have is a good advantage for Automation Anywhere. It is easy to understand, so a person who is new to Automation Anywhere can easily understand and start their journey with it.

Before using Document Automation, I worked with IDP, Intelligent Document Processing. Now they are adding the AI service also. Earlier, it would automate only semi-structured data, but now it has improved accuracy and can handle unstructured data as well.

In every organization, there are many process use cases where there is human intervention, and if we implement Automation Anywhere or any RPA tool, we can save money and exclude humans from the flow. It will save money, which is the main benefit. We can utilize the same time for different activities, such as upgrading skills.

I utilize Document Automation, which helps us extract semi-structured data and unstructured data, where we can exclude human intervention. This helps with document extraction.

Regarding the experience of deployment, we are observing deployment issues when new versions are released, such as being unable to deploy and some bot launchers crashing.

For my organization specifically, the challenge is with Automation Anywhere upgradation. We have more than 100 bots that were developed five years ago. When Automation Anywhere upgrades their software, they release new packages. When we are using lower packages, the performance and service become very slow, which was not expected. When we want to upgrade, it will be challenging for us.

One improvement I would appreciate is enhanced services. When we are running any specific process for a long time, the services are getting slow, which is a drawback I found. We need to improve speed and accuracy.

I have been using Automation Anywhere for five years, and I am still using it.

Before adopting Automation Anywhere, I used another solution called UIPath, but only for one year.

I am aware of the pricing, setup cost, and licensing. The license is favorable compared to other RPA tools in the market. Comparing it to UIPath or Blue Prism, it is favorable.

When comparing UIPath and Automation Anywhere, both have similar behavior with drag and drop functionality. However, with UIPath, you have to do some syntax work. In Automation Anywhere, it does not require syntax, so it is directly drag and drop options only.

When using Agentic Process Automation, my main challenge was agentic automation. We can learn Agentic AI, but the problem is identifying use cases where, when using Agentic AI, it needs to be value-added, such as saving money or reducing costs. The problem is when using Agentic AI, the cost will be very high compared to manual processes.

Regarding Agentic Process Automation, I do not currently have real-time experience with it, so I cannot comment. However, I want to utilize Agentic APA in the future to add value to my organization.

I am not utilizing AI Agent Studio in the process.

In my organization, the importance of AI governance is significant. When utilizing AI services, the main concern is security. As we are currently part of the healthcare domain, our main priority is the security of customer data. When passing data to AI, we take care of customer security. This is the main consideration with AI, but it will help in the future to reduce time, manual intervention, and improve speed and accuracy.

I do not have much hands-on experience with the AI governance feature in maintaining compliance and data integrity, as I do not have much experience with AI Studio and Agentic.

Regarding Autopilot capability, I do not use it.

I do not utilize Automation Anywhere's CoE.

In terms of improvement for Automation Anywhere, I do not have many comments at this time, as it is good in its current state. I would rate this review as an 8 out of 10.

The main use case for Automation Anywhere is where we see a repetitive task that needs our valuable time, and we automate those regular repetitive tasks through Automation Anywhere, which is useful because it can be used on any platform and can be integrated.

A specific example of a repetitive task I've automated with Automation Anywhere is when we want to trigger some task at a certain time and day, which we can easily accomplish through the automation.

Regarding our main use case, one of the critical tasks we have is to get an email notification whenever the log view indicates something in red.

The best features of Automation Anywhere, in my opinion, include its web-based management system that provides end-to-end automation for businesses, which I find to be a significant feature, offering a balanced outline for automating complex tasks.

The web-based management system is beneficial because it can be accessed as a web app from anywhere in a lightweight and easy-to-use manner, which has greatly helped me in my day-to-day work.

Automation Anywhere has positively impacted my organization by reducing team involvement and making monitoring and actionable tasks easier for us, and I'm proud to share that we signed the single largest outcome-based deal in Automation Anywhere history, showcasing its usefulness.

I have seen improvements across the board since using Automation Anywhere, and I can definitively say that it has saved us time, reduced errors, and improved team efficiency.

I believe your team has done a great job with Automation Anywhere, and while I don't see major issues, enhancing the web view UI would be beneficial.

I have been using Automation Anywhere for almost four plus years since I started working, which is about three years ago.

Automation Anywhere is stable.

The scalability of Automation Anywhere is excellent, allowing for easy adjustments whenever needed.

The customer support has been great and I am thankful for the multi-channel access to contact them.

We previously used some traditional tools lacking modern features, which is why we switched to Automation Anywhere, where everything is modern and orchestrated.

I have certainly seen a return on investment, and I would say we are achieving a five times return on investment.

My experience with pricing, setup cost, and licensing has been standard, as I believe those aspects are well-established.

Before choosing Automation Anywhere, I did not evaluate other options because it is my first choice, as I find it to be a cool tool.

Automation Anywhere has certainly helped us achieve our automation goals by automating the tasks we perform manually every day, making it a critical and important part of our use case.

I have had very limited use of the AI Agent Studio, but we have started working with it, and I think it's a great add-on, and we should look at and learn more about it.

AI governance is quite important in our organization, and I find that the AI Agent Studio's compliance feature aligns well with our needs.

I utilize Automation Anywhere CoE Manager, and I find it greatly impacts visibility in the automation lifecycle.

We utilize document automation in our current processes, and it is efficient and productive, increasing our productivity significantly.

I have measured the time saved by using document automation, and every week, we see substantial benefits.

I estimate that we save approximately ten to twenty hours each week through document automation.

The biggest challenge for my organization in the age of agentic AI is to ensure sensitive information remains private, and Automation Anywhere helps us align well with that goal.

The main challenge I aim to solve with agentic process automation is to deploy a smart and intelligent agent that mimics my own decision-making processes.

I would assess the flexibility of Automation Anywhere's truly universal orchestration as highly adaptable, managing to integrate seamlessly with various systems and models.

The data advantage provided by the Process Reasoning Engine due to its extensive training on enterprise processes is indeed impressive, and I would like to emphasize that.

I would rate this review a nine out of ten.

My main use case for Automation Anywhere is to automate business processes across different teams at FedEx Office.

I automated our toner replenishment program at FedEx Office. The bot reads all the toner levels at all of our printers in all of our stores nationwide, and when the toner levels get low, the bot will order replacement toners for the stores from our store warehouse.

Automating the toner replenishment process made it so that the store managers didn't have to monitor all of the printers in the store's toner levels, so it's an automatic system that replaces it and takes that process away from the store managers. It also saves the company money by managing all of the toner inventory in all of the stores, so we can reduce the amount of toner in the stores needed to just what they need.

The best features Automation Anywhere offers are its ease of use and easy to learn. It allows a person without a lot of coding knowledge to be able to make a process that becomes automated and brings business value to the company.

In my own personal experience, I don't have a lot of experience in coding and programming, but I was able to do the training and learn how to use the software really quickly and easily. Now I'm able to work on my own and meet with other teams to automate their business processes.

Automation Anywhere has positively impacted my organization by providing a lot of hours and dollars saved for many business teams across the company, and it helps spark ideas for people to look at their own business processes and learn how to automate them from end to end.

There should be more documentation on how to integrate into the back-end systems as that's our biggest pain point.

I have been working in my current field for seven years.

Automation Anywhere is stable.

Automation Anywhere scales really well. We can add it to different servers as we need.

The customer support is great. We currently have platinum support and they're available any time we need them.

I would rate the customer support a 10.

The reason I give that number is because of the great customer support we get from the Automation Anywhere team and the outputs that we get from using the software.

We did not use a previous solution.

Another team handled all of the pricing, setup costs, and licensing.

Automation Anywhere helps to automate our whole processes end to end so that multiple steps can be automated without having to hand off different business processes to different teams.

Automation Anywhere has definitely helped improve people's job capabilities. It's reduced the time they've had to work on projects and it has definitely improved the cost benefits for our teams.

I would say approximately over 10,000 hours saved a year with over 40 million dollars saved.

We looked at UIPath and Yext before choosing Automation Anywhere.

I would advise others looking into using Automation Anywhere to definitely take a look at it and start generating a list of ideas and processes you'd like to automate as early as possible so that you can start working on them and get immediate results. I would rate this product a 10.

My main use cases for Automation Anywhere include both chat services within finance, invoice processing, and IT Service Management, as well as industry-related use cases, specifically focusing on healthcare. Revenue cycle management is one of the key areas where we implement solutions, and in some of my previous experience, I worked extensively with Telco organizations, improving order to activation lifecycle. Anything related to telecom processes has been a core use case as well.

A good example is when I was working on invoice processing, many tasks had to be manual. RPA used to solve some aspects, such as posting invoices into the ERP, but when it came to dispute resolution management, substantial context and reasoning were needed. Agentic Process Automation is now able to examine multiple documents at once, whether it be a purchase order or goods receipt, and it can analyze contract documentation to understand contract language, sending dispute-related emails to vendors and suppliers directly. This was one of the very first use cases where I started seeing success, and since then it has been constantly growing into other areas.

I utilize Document Automation in my current process, depending on the use case. Invoice processing is one example that heavily relies on Document Automation.

Automation Anywhere has helped me achieve my automation goals.

The cloud-based nature of Automation Anywhere CoE Manager has been beneficial. We are able to put it in the hands of business users for them to input ideas, and then for the CoE team to review the pipeline of automations and make decisions on approving the entire governance lifecycle, which has been helpful.

I use Automation Anywhere's AI Agent Studio for my automation processes.

My experience with the integration of AI Agent Studio has been very positive, specifically because I can connect with multiple systems via APIs, and the main advantage with AI Agent Studio is that I can also tap into traditional RPA workflows if I want information from a legacy system. That integration is also possible compared to other traditional AI agents.

AI governance is very important in my organization, and AI Agent Studio is improving its compliance with it. Initially, I struggled with metrics, starting from token consumption to see how exactly the agent took a particular decision. It is improving and is not fully mature yet, but all the new features regarding governance give me hope that I will soon get a complete picture of how we are leveraging the AI agents.

Compliance and security are embedded within Automation Anywhere platform, and we also have the controls to implement guardrails. This allows us to restrict PII information from being passed to the system and to the cloud, giving us good control in managing compliance and data integrity for the organization.

Document Automation impacted efficiency and productivity, as it immediately started helping me process unstructured data.

The main challenges I faced when I started using Agentic Process Automation was that earlier RPA used to solve anything rule-based, but I always hit a roadblock whenever reasoning and decision-making had to be done. The entire growth of Generative AI helped, and at the same time, Agentic Process Automation allows us to provide access to a lot of context to the agents, processing unstructured information and reasoning, so that we are able to solve many more use cases compared to traditional RPA.

The biggest challenge for the organization with Agentic AI mainly revolves around how efficiently we conduct evaluations. As we all know, whenever it comes to generative AI, there tends to be hallucinations, and we cannot be 100% sure the agent will always be right. Therefore, how efficiently we are benchmarking the performance of the agents and the overall governance is crucial, ensuring that none of the mission-critical processes go wrong due to an incorrect decision by an agent.

Automation Anywhere influenced the automation programs and the tracking of ROI.

Automation Anywhere can be improved by making it much more unified. Technology is changing rapidly, and as tech leaders, we often get lost on where the real value lies. Therefore, I want Automation Anywhere to stitch together multiple features and product lines into one single platform where I can manage the entire AI stack, rather than having multiple tools, including other AI productivity tools.

My experience with pricing, setup cost, and licensing has been mixed. Sometimes customer adoption of the Agentic features has delayed projects, specifically due to pricing-related concerns as the market evolves. Selling bots and RPA-related licensing has generally been straightforward, but Agentic-related licenses require much more due diligence, making it challenging to navigate the buying cycle due to pricing factors.

Before I used Automation Anywhere, I considered and used programmatic related automation, such as Python-related and heavy code solutions. Now, with Automation Anywhere, we sometimes lean into other solutions depending on the customer's preferences, especially if they gravitate towards specific SaaS products.

In terms of approximate time savings, traditionally processing an invoice took twenty minutes, but with all of this—not just Document Automation, but with all the other features—we are able to cut it down to less than five minutes, achieving almost a seventy-five to eighty percent efficiency gain.

I started using Automation Anywhere in two thousand eighteen, so it has been almost eight to nine years now.

My experience with the deployment has been good, with no issues there. There has been no downtime with the platform—though every deployment has some challenges depending on how effectively it is handled in the production environment—the availability rate from a platform perspective has been very good.

The decision to change to Automation Anywhere was initially based on ease of use and the quicker realization of value compared to other tech stacks, and this trend continues with many more AI features.

I use Automation Anywhere's Autopilot capability, but not extensively, because Autopilot sometimes gives a skeleton, and beyond that, substantial engineering goes into building the solution. Many times it has always involved building from scratch, but that is changing. The feature around using a cloud-like interface to start building code is going to definitely start saving some time.

Automation Anywhere's CoE Manager serves as a centralized area to track the entire initiative, including how many use cases we have and whether we are trending in the right direction or not, which has been very useful for visibility and automation lifecycle impact.

Automation Anywhere can be improved by making it much more unified. Technology is changing rapidly, and as tech leaders, we often get lost on where the real value lies. Therefore, I want Automation Anywhere to stitch together multiple features and product lines into one single platform where I can manage the entire AI stack, rather than having multiple tools, including other AI productivity tools.

In terms of approximate time savings, traditionally processing an invoice took twenty minutes, but with all of this—not just Document Automation, but with all the other features—we are able to cut it down to less than five minutes, achieving almost a seventy-five to eighty percent efficiency gain.

I would rate this review a nine out of ten.

I have been using Automation Anywhere for the past 1.5 years to reduce manual efforts that we incur every day in our cloud environment.

We are using Automation Anywhere in AWS. We basically receive a few reports from multiple vendors every week and use Automation Anywhere to check if the files have arrived or not. If the file is not available by the expected timeline for each vendor, we need to send an SNS notification to them to trigger that, because if we do not receive that, our subsequent pipelines would fail.

We have some vendors that upload certain reports every week from Monday to Friday. We have close to 29 external vendors uploading all such reports to us, and we need to make sure that the report is available there. Using Automation Anywhere to assume a temporary IAM user, which is session-based access, ensures that the file is available there.

My use case emphasizes that Automation Anywhere has seamless integration with AWS, especially in terms of sessions.

We are still exploring new use cases where we can fit Automation Anywhere into handling certifications, recycling, or if we design a format of incidents with so-and-so user, so-and-so account, so-and-so role, and so-and-so issues. We are working on that to handle all such incidents using specified shell scripts or existing automations executed by Automation Anywhere.

Automation Anywhere reduced a lot of manual effort in the use case we already implemented. We used to have only six to seven vendors, and now we have close to 46 vendors, with each vendor bound to share a couple of files every single day, which means we are looking at around 85 to 90 files every day. It is very difficult to keep track of all of them manually.

Automation Anywhere reduced the FTE cost, human intervention, and the time it takes to notify the respective consumer, providing almost immediate notifications, which is not the case with manual processes. The incident resolution time is practically reduced from two hours on average to under 15 minutes.

Automation Anywhere helped me achieve my automation goals as it reduced turnaround time, cost, human intervention, and increased overall satisfaction levels for our customers.

We have still not explored Automation Anywhere to its full potential, so I will restrict myself from commenting on improvement areas at this time.

I have still not explored Automation Anywhere fully, but I would like to try it for personal projects. I have registered for the trial period to utilize its capabilities and gain a comprehensive understanding of what Automation Anywhere as a product offers to its customers.

There is no business relationship with this vendor other than being a customer.

I do not have any small or specific improvements in my mind at this point in time.

I have been using Automation Anywhere for the past 1.5 years to reduce manual efforts that we incur every day in our cloud environment.

Automation Anywhere is stable.

At this point in time, we are pretty much happy with Automation Anywhere's scalability and the benefits it is bringing for us.

So far, we have not raised any support tickets with Automation Anywhere customer support, but I strongly believe they will meet expectations.

We primarily used the in-house AWS application, but they did not provide great benefits to us.

We use Lambda functions, but considering the scale of the project, we have many Lambda functions running in our accounts that hit threshold limits, leading us to switch to Automation Anywhere.

The setup is easy. Regarding pricing and licensing, we are not directly paying for it since we use the product provided by the end customer, and I believe the pricing is somewhat justified.

The implementation team was provided to us by my customer itself, and I do not have those internal information available.

We have a reduction of two full-time efforts with Automation Anywhere.

The setup is easy. Regarding pricing and licensing, we are not directly paying for it since we use the product provided by the end customer, and I believe the pricing is somewhat justified.

I am looking for solutions that can showcase great builds using Automation Anywhere, especially in AWS Cloud or Azure Cloud, making it available to others as open source, so that users of AWS Cloud or Azure Cloud can benefit the most.

The biggest challenges are data governance, security, plagiarism, and using license code. With Automation Anywhere, we have not explored its full potential, so I cannot comment on how it can help in this case.

I suggest others curate their automation needs and consider using Automation Anywhere to implement them smoothly, focusing on specific use cases rather than large, interconnected automation projects.

Automation Anywhere is currently handling around 46 vendors, which is a number that has increased by 16 since we started using it, starting with 30 vendors, and we are satisfied with its ability to handle our increasing vendor count.

AI governance is pretty much required, as the general tendency of humans is to provide all information to tools, necessitating a clear segregation of what can be provided to AI tools and what can be copied from that.

I gave this review an overall rating of 7 out of 10.