We use Automation Anywhere for all R2R processes, including reconciliations, journal entries, and fixed assets. Our systems are set up in a way that requires a lot of manual processes. We redesigned the processes so that we could move to some rule-based ways of working. Then, wherever we could make it rule-based, we implemented RPA.

The benefit of using Automation Anywhere is the efficiency of operations and speed. Humans cannot work 24/7 on a task, but a machine can work continuously on it. The solution saved us a lot of time on various processes. We needed fewer people to work on those processes, which resulted in cost savings. For every one bot, we were able to save the effort of one and a half STE.

There should be a way to avoid recoding everything whenever there's an upgrade to the latest version. A lot of finance applications do not support Automation Anywhere. Many ERPs and finance tools do not talk to Automation Anywhere directly. If there are any updates or changes on the UI, you have to recode everything, which used to be a big concern area.

I have been using Automation Anywhere for seven to eight years.

We faced challenges while implementing the solution because we were probably among the first to do it in the R2R space. However, we were able to work through and overcome those challenges.

We have seen a return on investment with Automation Anywhere.

The solution's pricing is pretty decent. We get good rates since we work with platinum partners.

We have a development team, and our business users do not do the coding. I think it depends on how simplified your design is. We try to make things quite dynamic. If there is a matrix behind the automation that defines the rules, then the business users will handle that matrix.

However, the technical team will handle the coding of how that will translate into an RPA automation. We focus on the design to ensure that it doesn't get stuck.

AI is definitely the future, but it depends on how well you can integrate it with your processes. From a financial perspective, it is still evolving. I don't think anybody has cracked the code for end-to-end automation using artificial intelligence. However, we are using AI in bits and pieces and intend to expand on that.

I don't think we have integrations because Automation Anywhere works more on the UI. Essentially, you'll create a bot ID, which is a mirror of a human user ID. Any access that that human has is replicated to that bot. You don't necessarily need to integrate Automation Anywhere with your systems. It just sits in your VDI, and then it works like any human user would work.

Upgrading the solution was a challenge because it required a whole project and some coding.

Overall, I rate the solution a seven out of ten.

We obtain use cases from the business and optimize their solutions by implementing Lean Six Sigma methodologies to eliminate process waste. We then follow this with end-to-end automation that requires no manual intervention. Automation Anywhere is the tool we employ to achieve this.

Our goal is not to solve problems but to automate manual tasks previously performed by humans. Rule-based processes require minimal human decision-making and are ideal candidates for automation. By using Automation Anywhere, we aim to replace repetitive human labour with machine efficiency.

For example, a business user performs the same routine daily: logging in, analyzing Excel data, and responding to customer emails. This repetitive manual work is ideal for automation. We use the Automation Anywhere tool to build a bot that mimics these human actions. The bot logs in, processes emails, responds to customers, and completes the entire process autonomously, from start to finish.

We use generative AI to process emails by determining customer sentiment and intent: happy, inquiring, dissatisfied, or angry. The AI makes decisions based on email content and automatically generates requests or tickets in ServiceNow, assigning them to appropriate users. This automation replaces the manual task of sifting through thousands of daily customer emails, allowing employees to focus on higher-value work. The combination of generative AI and Automation Anywhere automates this process efficiently.

Automation Anywhere increased productivity by 30 percent.

Automation Anywhere has significantly re-emerged in the industry over the past few years. The platform has introduced numerous features and a robust cloud deployment pipeline. The initial focus is on a cloud-based architecture and a new structure supporting third-party coding languages like Python, VBScript, and VBA. Document Automation, formerly IQ Bot, simplifies document automation development. Additionally, Automation Anywhere acquired Shibumi, rebranded as CWE Manager, to provide a pipeline for automation and offer detailed performance metrics, including ROI, savings, and bot health for business users.

AI is the future, and automation is a crucial component. Our healthcare organization, which manufactures products like gloves and masks and provides in-house hospitality to patients across the US, has significant opportunities for automation and AI implementation. With six data centres globally and a new CIO focused on cost reduction, we're aggressively pursuing cloud migration to Azure and have partnered with Google for AI integration over the next five years. These initiatives aim to streamline operations, reduce costs, and enhance patient care.

Throughout my experience, I have integrated nearly 600 applications with Automation Anywhere, encompassing a diverse range of software, including desktop-based, standalone, and web-based applications.

Automation Anywhere has significantly reduced costs in my organization. For example, a team of 20 employees previously spent six minutes manually entering 20,000 Excel records into an Oracle application daily. This process consumed valuable time and resources, including Oracle licenses and employee wages. Automating this task eliminated the need for one Oracle license by accessing the database directly. Our automation solution processes 10,000 records in just 15 minutes, drastically improving efficiency and accuracy.

Integrating workflows requires careful consideration of automation complexity, determined by the number and type of applications involved and the number of interactions within each application. We assess applications based on web-based vs. standalone, legacy vs. automation-friendly, and the number of fields requiring input. A complexity score is assigned. Zero to ten is low, 11 to 20 is medium, and 21 to 30 is high, and corresponding timelines for development, testing, QA, pilot, and handover are established. Once timelines are set, we focus on securing application access for developers, providing necessary test data, and coordinating with business stakeholders for UAT testing. After successful UAT, the bot is deployed to production for a monitored pilot phase before full-scale implementation. This approach is standard workflow management practice in our organization.

The savings from automation depend on the specific automation implemented. Some automation may provide minimal benefits to the business. For example, if a new automation is introduced and the business user spends only two percent of their time per day on the related task, the savings may be insignificant. To evaluate the ROI, we calculate the costs over five years, including development, support, licensing, and infrastructure setup. In the first year, the focus is on investment and implementation. While savings may not be fully realized in the second year, from the third to fifth year, the business can expect significant returns due to reduced human labor. The automated process can be continuously enhanced to adapt to changing business requirements. My organization has achieved savings of approximately one point five billion over the past year and a half through automation.

Automation Anywhere's most valuable features include generative AI, similar to Copilot, which will significantly benefit developers; low-code or no-code technology; and document automation capable of extracting data from structured and unstructured PDF formats, presenting it clearly and easy to follow. An upcoming feature will also provide graphical representations or dashboards to illustrate cost savings, ROI, and FTE benefits achieved through process automation.

The Copilot recently integrated into Automation Anywhere requires significant refinement and additional features. Essentially, it still necessitates manual review, which is inefficient. For example, instructing Copilot to write code for opening and reading an Excel file generates necessary commands but still requires developer input to specify target data, column numbers, and desired data. This indicates a need for further training to enhance the bot's capabilities.

Integrating Automation Anywhere with existing systems often proves challenging due to the prevalence of legacy applications that are not automation-friendly. Unlike modern applications with easily identifiable elements, these older systems require creative problem-solving to develop reliable and error-resistant automation. This challenge is common across the RPA industry, necessitating innovative approaches to data extraction. For instance, utilizing software development kits, XML files, or APIs can be more efficient than navigating through multiple application pages. Additionally, implementing fuzzy logic scripts is crucial for handling data entry errors, such as name variations, to ensure accurate matching and process success.

The learning landscape for Automation Anywhere offers various certifications and training materials. While the community provides a platform for interaction and resource sharing, not all training content aligns with the specific needs of developers. Additionally, the community forum, though helpful, doesn't always provide timely or comprehensive solutions to user inquiries. The company's internal structure, with multiple product teams, can also complicate the process of obtaining support and resolving issues.

I have been using Automation Anywhere for one year.

I would rate the stability of Automation Anywhere nine out of ten.

Automation Anywhere is a highly scalable tool, particularly evident in its ability to handle user concurrency, as demonstrated in document automation. Its scalability is supported by robust hardware and software requirements, high-performance document and file processing benchmarks, and the capacity to increase or decrease resources to match fluctuating demands flexibly. Essentially, Automation Anywhere empowers businesses to adapt efficiently to changing needs.

Automation Anywhere offers tiered support levels based on partnership status. Gold, silver, and platinum partners receive varying degrees of assistance, including dedicated support teams and prioritized ticket resolution. While their services come at a premium, the benefits include timely responses and efficient problem-solving.

Neutral

I have worked in various industries and have experience automating processes using different automation tools available on the market, including VBA, VBScript, and Python.

Automation Anywhere, while a formidable RPA tool, currently ranks second behind UiPath. Both companies are industry leaders, continually innovating to enhance scalability and reliability. While Automation Anywhere has made significant strides in recent years, UiPath maintains a slight edge in overall market performance. Compared to other available options, Automation Anywhere remains a top choice due to its robust features and reliability.

The deployment process in Automation Anywhere is relatively straightforward. We export the package from one environment and import it into another. However, each organization has its own unique deployment standards, often involving processes like change advisory board approvals. Therefore, the actual deployment method will vary depending on the specific organization's guidelines and procedures.

The overall deployment time for a robot is five minutes. A team was involved in this process. As the developer, I was responsible for obtaining the necessary approvals and moving the robot code from enrolment to deployment. Other organizations may have specific teams dedicated to these tasks. For example, they might have their own Centre of Excellence team that handles all deployments. Therefore, the deployment process can vary depending on the automation and the specific organization. In my current organization, we handle deployments ourselves, while in my previous organization, there was a separate team dedicated to this task. Prior to that, a support engineer typically performed these duties.

Automation Anywhere's pricing is significantly higher than other RPA solutions. We recently conducted a small proof of concept with their generative AI integration and received a quote of $75,000 for one year. In comparison, Microsoft offered a similar solution for only $20,000. This substantial price difference makes Automation Anywhere one of the most expensive RPA options on the market, second only to UiPath.

I would rate Automation Anywhere eight out of ten.

I would rate the ease of use of Automation Anywhere as a six out of ten for someone without any technical expertise.

The learning curve for non-technical people is two months.

There are several areas for improvement in the implementation of Automation Anywhere. Many employees are reluctant to entrust their tasks to automation due to concerns about job displacement. While this is a common misconception, automation is designed to streamline processes and free up employees to focus on more complex and strategic tasks. From a development perspective, Automation Anywhere continually introduces new features, but there is often a lack of effective communication and training. To maximize the benefits of automation, developers should adopt a proactive approach, seeking creative solutions and considering the user-friendliness of automated processes.

My entire organization has close to 27,000 employees worldwide. Our enterprise team, consisting of 15 members including me, handles automation work for the entire organization. My team consists of six members dedicated to support activities, monitoring and assisting the robots. The remaining members are part of the development team, solely focused on development tasks.

Upgrading Automation Anywhere is a moderately complex task due to the numerous dependencies that must be carefully considered and planned for during any migration or upgrade. Yesterday, we successfully migrated our Automation Anywhere Control Room from version 32 to version 33. Prior to the upgrade, we underwent extensive preparation, including reviewing Change Advisor Reports, obtaining necessary approvals, and coordinating with the database team to create a backup of the Automation Anywhere database. Once these prerequisites were fulfilled, we proceeded to the server, uninstalled version 32, and installed version 33. The previously created backup was then integrated to ensure accurate data reflection in the latest version. While proper planning is essential, the upgrade process is neither overly complex nor excessively straightforward, making it a medium-level task.

We have a team of six dedicated to support and maintenance activities, managing approximately 250 automations across our organization. The level of maintenance required varies depending on the developer's experience and the complexity of the automation. Junior developers may create bots that are more prone to errors, leading to increased maintenance. However, senior developers or well-designed automations typically require less maintenance. In addition to support and maintenance, our team is also responsible for minor enhancements, bug fixes, and upgrades or downgrades of our automation systems.

We don't need to constantly monitor the bot as it runs according to its schedule. It performs its tasks autonomously, but manual intervention is necessary in certain situations. For example, if an expected input file fails to arrive at the scheduled time, the automation process will stop. In such cases, a support engineer must contact the business to address the missing file. Additionally, manual intervention might be required for downstream automation tasks, such as when a front-end UI changes on an application. These situations depend on the specific downstream application, business needs, and other factors.

I would highly recommend Automation Anywhere as a technology solution. I've been involved with it for nearly twelve years and have witnessed its remarkable evolution. From its early stages to its current state, I'm impressed by its potential for future innovation and problem-solving. Moreover, I've seen first-hand how Automation Anywhere has significantly benefited businesses by reducing costs and saving on full-time equivalent labour. In one instance, I observed how a single automation process could accomplish the work of ten people in just one hour.

I use Automation Anywhere to automate the data input process and produce the forecasting output.

We store our data in Databricks, which is sometimes shared via email. To automate this process, I've created a pipeline using Automation Anywhere that extracts CSV files from emails, uploads them to Databricks, saves the resulting table on a selected AWS page, processes the data, and feeds it into the model.

Automation Anywhere is user-friendly, with drag-and-drop features for nontechnical users.

The learning curve is no more than one month.

It integrates well with other tools.

Automation Anywhere saves us one month per year.

Automated data processing is the most valuable feature of Automation Anywhere.

I have been using Automation Anywhere for 16 months.

Automation Anywhere is stable.

Automation Anywhere is scalable.

Automation Anywhere supports automation to scale.

The technical support is good.

Positive

The deployment is straightforward and can be completed within one and two weeks.

Before implementing, we want to ensure we have all the support and collaboration.

Automation Anywhere is affordable.

I would rate Automation Anywhere eight out of ten because it is practical and user-friendly.

Coming from a startup background, we lack a formal administrative structure. This means we operate without established procedures and often tackle daily tasks, such as Excel updates or attendance tracking, on an ad-hoc basis. To address these challenges, we develop internal proofs of concept and present them to clients. In my previous role, I automated approximately ten web- and Excel-based processes using Automation Anywhere.

We implemented Automation Anywhere to address the challenge of manually entering data, such as transferring thousands of rows from Excel to a web application. When performed manually at a rate of 200 records per day, this process typically takes five days. By utilizing RPA technology, we can drastically reduce this timeframe to a matter of hours. Our primary goal is to minimize labor hours and enhance efficiency, enabling employees to focus on higher-value tasks like logic and content development instead of repetitive data entry.

The generative AI is helpful for jobs that fail. It will try to redo the same operation by implementing different numbers, and if it succeeds, it will automatically continue the process.

The task process, before and after Automation Anywhere, requires a series of actions performed by either a human or a bot. Previously, without automation, the process was identical. Rather than having employees sit at computers inputting the same data daily, automation allows for their redeployment to other areas such as administration, cash flow management, or payments. The goal of RPA is not job elimination but to enhance efficiency. While automation platforms can handle many tasks, they are not infallible and require human oversight. Regular maintenance and monitoring are essential for any automated process.

The initial learning curve for Automation Anywhere will be challenging because the drag-and-drop interface differs significantly from traditional coding. While packages are used, the underlying logic is expressed visually rather than textually. This transition may take one to two months as users acclimate to the new terminology and approach. Once familiar with the platform, developers will find it easier to construct automation processes due to their existing programming knowledge, which includes concepts like string operations, conditions, loops, and other programming language constructs. Although the terminology will be unfamiliar, the underlying logic remains consistent, making the platform more accessible over time.

The training takes at least four months for technical employees to learn, understand, and implement what they learn.

Automation Copilot is a valuable tool for streamlining daily tasks, but human oversight is essential during execution. For instance, if a sales representative quotes a package requiring managerial approval in a tourism scenario, the process should automatically route to the manager for confirmation via email, message, or another preferred method. While Automation Copilot is beneficial, it's crucial to incorporate a mechanism within the process to handle this manual intervention.

Organizations can benefit from Automation Anywhere's document, web, and Excel automation capabilities.

Automation and AI used to be a frightening prospect for our clients, who feared job displacement. However, they have embraced the idea after experiencing how these technologies can free up their time for more critical tasks.

Our organization has integrated Automation Anywhere with Epicor, Aurora, Dynamic 365, SAP, and Power BI.

Due to the numerous internal teams and domains, Automation Anywhere has been implemented across various IT departments within our organization. Multiple processes within each team have been automated using Automation Anywhere, from account management to application maintenance. These automated processes often involve handling documents, APIs, Excel files, or web-based interactions.

The most valuable feature is the back-end process automation. I primarily encountered this issue in back-end operations. To illustrate, consider the medical industry where I previously worked. ICD codes, a critical component, must be mapped by the administrative department. Traditionally, reconciling a single report was a manual, ten-hour task. Automation Anywhere offers a clear advantage over other market solutions by streamlining these time-consuming back-end processes.

Although the UI and elements are user-friendly, it is still difficult for business users without experience to understand how to use Automation Anywhere.

Automation Copilot has generated a strong foundation, but its analytics capabilities lag behind competitors. While Automation Anywhere offers numerous built-in dashboards, its data visualization options are limited. In contrast, Microsoft Power Automate provides extensive data manipulation and visualization flexibility, allowing users to create various chart types and formats. To remain competitive, Automation Anywhere must significantly enhance its data visualization features.

Licensing fees could be a barrier to entry for many potential customers interested in using Automation Anywhere.

A major drawback of Automation Anywhere is the lack of notification for all customers when upgrades occur. Without any information about these upgrades, it is difficult to determine specific details.

I have been using Automation Anywhere for five years.

I contacted technical support for problems related to the in-progress tab. In 2021 or 2022, numerous tasks appeared in the in-progress tab despite not running on the machines in real time. This led to the development of an API to address the issue. However, a new problem arose: when triggering the bot on runner machines, the bot was not actually triggered on those machines, yet it still appeared in the in-progress tab. This discrepancy persisted despite multiple reports, but the issue was resolved recently.

Neutral

The initial deployment is straightforward.

BotCity is a newcomer to the RPA market, currently holding ninth place on the top ten list. They are rapidly expanding and offer a unique advantage: no additional software is needed as long as the system supports Python.

I would rate Automation Anywhere seven out of ten.

Maintenance is required for server-based environments but not for cloud-based architectures since Automation Anywhere is self-hosted and managed by them.

We are using Automation Anywhere to automate our reports. We are an insurance firm, so we need to ensure that we send out notifications to our customers day to day to announce when premiums are due and so on. We're automating the process so that, rather than sending out manual messages to customers, we can automate these messages. 

We were manually tracking all the premiums and all payments that are due from customers and so on. Now, with Automation Anywhere, at least every month, on a certain date, we have the pre-trained notifications being sent out to customers. It's saving us time.

Before the installation, we had a manual process for notifying customers. We'd have to get an excerpt out of the system, get a CSV file, then have someone look at it, and manually filter, for example, what are the due amounts, et cetera. So all these processes have been automated now from our side.

Automating the entire process for us has been extremely beneficial. Earlier there had to be proper dedicated resources who had to take a report and so on, and it would take a lot of time. Our resource utilization has gone down drastically for this activity now.

It is kind of difficult for business users to use the product. In our case, we didn't really have any in house team who were able to process the mapping and everything. Now this is done by Automation Anywhere.

Being the end user, we didn't really have to get into a learning curve as such since our vendor partners were able to map everything for us as per our requirements. There was not much training that we had to do.

We have Oracle Finance incorporated with the solution. It's pulling our data directly for us. We do not have many use cases are in the inline environment. 

Automation Anywhere helped save time and costs. In our scenario, it has drastically helped us as there used to be a proper dedicated team who had to do these manual activities. That has been cut down, and the system is taking care of everything for us. 

Applications like Microsoft Power Automate do have zero-code systems. I've not done much research on Automtin Anywhere in comparison. However, if Automation Anywhere could also have something of that sort, that would be a game changer. I see that Microsoft has already added all sorts of AI capabilities that can support users who are trying to automate any process—including building reports. That will eventually help a lot. 

We've been using the solution for over three years now.

So far, we have not faced any issues. 

We only use the solution in our finance department. For us, the solution is scalable enough. I'd rate scalability seven or eight out of ten.

I'm not really raising any tickets with technical support.

We did not previously use a different solution.

I wasn't involved in the deployment of the solution. 

We do not really have any maintenance. 

The pricing is still pretty high. If I have to consider Power Automate from Microsoft, I have to consider that that application is covered in my Microsoft licenses, and that would still save me a good amount of money.

We didn't evaluate other options. 

We don't use any AI yet. Generative AI is something that management is still not really keen on focusing Automation Anywhere on. As AI advances, there might be some initiatives that might be pushed down from the CEO side. So far it's tough to pick up as AI is still at a very early stage from a use case standpoint for insurance. If there are some tools that are coming into play, we will then consider investing in them and maybe try to incorporate them in our current setup.

I'd rate the solution nine out of ten.

Gping with Automation Anywhere was an organizational decision. However, Power Automate would also do the job for most companies. If cost is a concern, users can still go with Power Automate under a Microsoft license. 

We set up a bot that works on the billing system. It uses RPA and generative AI to analyze the contracts of our B2B customers and check information in the IT systems, CRM, billing, etc. We compare and correct an invoice before it's automated to avoid wrong entries for our customers.

We run 14 projects in parallel, generating revenue efficiency, improving customer experience, and saving millions of dollars. Automation Anywhere affects the center of the business. 

In one case, we reduced the time spent on a task from 30 minutes to one minute. Before Automation Anywhere, we used to perform the tasks manually. These tasks account for 20 to 30 percent of the total. We can perform all these tasks in Automation Anywhere much faster than the old process. The tasks are fully automated. It's critical. We don't have more customer complaints about the wrong invoice in the B2B market.

Automation Anywhere's Pathfinder program has supported us to evaluate the maturity of our Center of Excellence.

It was easy to use Automation Anywhere's RPA through API connections, and it works well. It's easy for non-technical users to learn to use Automation Anywhere. We just finished teaching our telecom company last week with Automation Anywhere to democratize the solution. We made a bot for the company to give them the power of RPA and artificial intelligence. They love the tool. It's easy and low-code. I think it will be easy to do citizen development.

Our developers find Automation Anywhere's learning curve to be extremely short. We have good developers who can learn automation anywhere quickly. We have integrated AA with CRM, billing systems, external databases, and websites. It's easy to integrate because there are so many ready-made automations that you don't need to build. It's easy and fast.

Automation Anywhere could improve its integration with Python and other programming languages.

We started using Automation Anywhere last year and, from August to September, created a center of excellence in automation and AI. 

I rate Automation Anywhere nine out of 10 for stability. It's highly stable compared to other automation platforms. 

I work for a global enterprise, so they innovate fast. Automation and generative AI scales up incredibly quickly.

I rate Automation Anywhere support nine out of 10. They respond quickly and know what they're doing. We have a close relationship with our account manager and technical support. This relationship makes the difference.

Positive

We tried UiPath and Blue Prism before deciding on Automation Anywhere. We chose Automation Aware because of its support, which was better than that of other enterprises.

It's easy to deploy, install, and learn Automation Anywhere. We deployed it ourselves without the help of any integrators.

The pricing is comparable to other enterprise solutions in Brazil, such as UiPath and Blue Prism. The setup cost is nothing because we deploy it in the cloud. The licensing model isn't too difficult to understand like other solutions. 

I rate Automation Anywhere 10 out of 10. My favorite part of the Imagine Conference is the hands-on labs. They were impressive. Using generative AI and automation, I made a bot in three minutes. It's my first time here at Imagine, and it's a well-organized event with good information for automation customers. 

I would encourage people to come to the conference to build good relationships and network with peers. The technology you acquire here is crucial. 

Jersey STEM is an all-volunteer organization, which means that we have interns doing development using donated systems. The beauty of donated systems is they're free. The challenge of donated systems is that there's a lot of data that isn't correlated, and the systems don't talk to each other, so we use RPA to establish some communication between the systems and gather data into a central coherent location.

Automation Anywhere has helped our organization by giving us a relatively easy way to gather all the data we need. We have data from HR, volunteer-matching systems, and grants systems. Automation Anywhere has enabled us to automate data gathering and posting that data into usable forms.

Before implementing Automation Anywhere, we processed these tasks manually by getting data from websites, putting them into spreadsheets, and going from spreadsheets to databases. Attempts to automate that using other tools were pretty onerous. 

Automation Anywhere enables us to simplify the process and see results much faster. Previously, it would take six to eight weeks to get results. With Automation Anywhere, we're getting results in two to four weeks, which makes the business happy. When I say business, I must remind you that these are all volunteers with little time on their hands. They're doing this with full-time jobs. Our goal is to make their lives easier with Automation Anywhere.

Jersey STEM primarily uses Google, so we use tools like Google Sheets and Google Docs. The automations all have to do with the Google ecosystem. Additionally, we must integrate with all donated systems, including HR, volunteer-matching, and grant systems that are donated to us. Jersey STEM is building the data warehouse as we gather all that data.

In a volunteer organization, employee capacity and compliance are not the primary metrics. Because we have an all-volunteer crew, we don't have them eight hours a day. We only have them for a couple of hours a day. We want to do anything we can to better utilize those two hours a day so that they're not spending them moving data around in spreadsheets. 

I have some metrics at the top of my head, but they're a little abstract. Accomplishing what we've done so far with the bots in production would take 40,000. It's not a direct correlation of full-time employees because that's all work that would not have gotten done because they don't have time for that kind of nitty-gritty work. 

Automation Anywhere has saved us a lot of time but not so much cost because everything is donated. If you have volunteers and they're giving you two hours a day, it is better to spend time on intellectual work rather than repetitive mundane work. That's the big bang that Automation Anywhere gives us.

Automation Anywhere's ease of use is the most valuable feature. We have interns doing RPA development, and it takes them about four weeks to get advanced-level certification. And within four weeks, they're productive. It's user and developer-friendly, robust, and scalable. We started in March with four bots in production. We have four more bots about to go online, which is pretty quick in the RPA world.

At Jersey STEM, we haven't put Automation Anywhere directly in front of business users. We don't have citizen developers because most processes we tackle are back-office automations. In the fullness of time, we will put citizen developers to work. I'm confident they will pick it up fast because Automation Anywhere does a great job of simplifying the process of building automations.

The learning curve for Automation Anywhere is quite simple. I had four interns do some basic training online. We did a three-day course with them to get them the advanced training, and they were productive within four weeks. They are in the process of building more bots. At this stage, we may be in danger of having them run out of work because they're working so fast.

Integration is the primary reason that Automation Anywhere process-building is so simple. All the building blocks are handed to us. It removes the guesswork of what has to be connected to where. We can pay more attention to the logic of the process rather than the mechanics and infrastructure of the process.

The only thing I would advocate for is making Automation Anywhere's developer environment Mac-enabled because many of our graduate students are coming out of school with Macs. Everything else in the Automation Anywhere world is built for Windows.

We've only been using Automation Anywhere at Jersey STEM since March of this year.

Automation Anywhere has been rock solid for us. We have had no issues.

We have yet to find out the limits of Automation Anywhere's scalability because we're only starting. We have a control room with one attended bot runner. I can imagine that within the next year or two, we'll need to scale up. Given the way Automation Anywhere is architected, I am confident that scaling up won't be a problem. 

Deploying Automation Anywhere was relatively seamless. I've been using Automation Anywhere since version 10 and was a solution architect for version 10 and version 11. An on-prem deployment requires a computer science degree to understand because there are so many factors involved. With a cloud deployment, everything was done for me. The only thing I had to do was provisioning and configuration. It made life a lot easier. I could complete it on my own in about two weeks.

It's too early, but the ROI will not be measured in dollars and cents. It will be measured in our ability to get data faster. For example, if we have a base of volunteers waiting to connect with us, we can connect with them much faster. If there are grants to be had, we can get to those grants a lot faster. 

The difference between a volunteer organization and a typical business organization is that our funding has to come from outside. We have to find it. Help comes from outside. We have to find it. The return on investment is getting there quicker.

We purchase Automation Anywhere through a service partner that's also helping us with those costs.

I rate Automation Anywhere nine out of 10. It's a solid nine and a half because I don't give out tens. 

The Imagine event has been highly informative and useful for me. It's informative because I'm learning all about the generative AI coming down. That's been the focus. It's useful in that I've made lots of connections this year. When folks find out about Jersey STEM's goal, they're interested in volunteering. I have a whole bunch of new people to talk to who will help us with our future endeavors.

The Imagine experience is a full-on fire hose of automation, but it's a lot of fun. All the presentations have been geared to keep people's attention and to be entertaining. It's a brave new world, and there's a wow factor here.

I would invite folks in my field and other volunteers. It would be self-serving because our volunteers would make more connections, get more people to help, and also learn about the possibilities of where we could take Jersey STEM from a data infrastructure perspective.

We have a pretty big shop nowadays. We have 324 automations in production. Our use cases were concentrated on loan services. Most recently, our initiatives have been targeted in the control space - automating the things that make the bank go around and seeing that the bank is in a good position every day. 

We have a backlog in the hundreds, automation is not something that we'll finish anytime soon. It's definitely a marathon to finish all the things that we need to do.

In 2017, there was a lot of hype around RPA. They paved the way for us to see those benefits, and we continue to grow every year. 

In those early days, we had 28 automations in our first year. We thought we were pretty proud of that number. In 2023, we created over 100 automations in a single year and moved those to production. The volume and the increased capacity for our businesses improved. The employee engagement, when we talk about bots now, is much better. It's "how can we help?" There are no real concerns of "They're going to replace our jobs." Over seven years, our automations have grown, and we've matured with them. 

There are several aspects that we value. The control rooms, monitoring the performance, and making sure everything is up and running has been a great feature. From the design and capacity of the developers' perspective, the intuitive interface is excellent. It's a workflow-driven design session. Following the flow of the users alongside the code makes for an easy automation that everyone can understand.

Automation Anywhere brings in and changes the way we do process automation. Everything was very manual beforehand. We'd have to do batch processes where integrations of systems were pretty costly and took a lot of time. Mapping database fields from screens down to the next system was more difficult versus with Automation Anywhere, you get the visual input of the screens. You can click on those fields and not have to do the data mapping or extract them. You can correlate them to other systems almost instantly individually. 

Automation Anywhere is easy to pick up for business users. Initially, we trained 45 people. Whoever raised their hands, we said, "We'll train you." About 65% of those initial trainees were from the business side. A couple of years later, we noticed that the people who created the automation did really well. They were receiving promotions. Then, all of a sudden, we didn't have the people to support our automation needs since those original trainees moved up. We made a shift and said, "Hey, business users, you want to come to technology? We're going to centralize development." 13 said yes, and we kept building out. Now we're a team that's 40-strong.

The learning curve is pretty quick. Automation Anywhere provides a lot of training courses to support you and there are individuals assigned to your account. The learning curve is short from our standpoint. We spend two weeks with anyone who comes in, whether they're a previous developer or a business person. We find that simple automations can be completed within that training period. Within six months, some of the most complex items people are able to handle.

Right now, our 324 automations touch around 120 different systems. Our core platforms are integrated. APIs are being used for SharePoint or imaging systems so  thatwe don't really have a reliance on the UI. With the integrations, we just continue to grow. 

The integration of Automation Anywhere into our workflows, APIs, business applications, and documents is great. There are several phases to this one. Automation Anywhere, just the design, the tool, allows you to jump in with workflows initially and lay out the complete automation, and then you can get into the details. For us, it's particularly powerful as it aligns with the different systems that we work with, as well as providing connectivity to the underlying systems, seeing the screens to get into the details of that workflow, making for a great design process for our automation.

Our automation program has positively affected our business in terms of employee capacity and compliance. It's affected all areas. When we think of the capacity, I can go back to 2020 in the early days of COVID and with a payment protection program specifically. We had 9,000 tellers who no longer were going into the bank. We pivoted to an SBA program and had those 9,000 tellers calling a variety of small businesses. We still needed 1,000 more people to do the due diligence. That's where RPA shined. We were able to fill that capacity gap and immediately become one of the top three players in the space. 

When I think of just day-to-day employee engagement, we're focused on the controls of the bank. Those happen maybe once a month, once a quarter, once a year. So those are activities that you really have to prep for and document really well. RPA does the same thing over and over really well, and those controls are assured to be done and executed in the same fashion over and over.

Automation Anywhere has helped us save on both time and cost. When we think of we run around 750,000 hours of runtime on bots per year. That would be a significant amount of employees. That's about 450 to 500 employees' worth of work done every day. Just the overall capacity provided by automation would be hard to replace.

Automation Anywhere's ability to provide Automation at scale is impressive. We've obviously pushed that limit. We're at 324 automations. That's over 4200 tasks executed every day. From a scale and monitoring perspective, we know which bots are running, which ones may be going slow, and which didn't run. The ability of the control with room to monitor allows us to jump in and help out when necessary. That is paramount to our success. 

Automation Anywhere helps us find value. We do use professional services from time to time to augment both our capacity and capabilities while finding new ways of doing things. This is a very fast-moving environment. The things that we did five years ago are gone. We threw them away. We upgraded to new versions and have new capabilities. Keeping up with the latest and greatest is always a challenge. There are also new ways of development and sharing those findings, whether it's a webcast or part of the Pathfinder program; we're always curious about what's next with the product.

The tools are fundamentally solid. However, when I think of self-healing, such as automation with a new prompt or a new Windows patch occurring, being able to handle those kinds of things on top of what Automation Anywhere already does and that automatically click through and do the reboots that are necessary to just have a clean run would be ideal. That way, no one has to wake up in the middle of the night and adjust something. That would be amazing. 

Our company has been using Automation Anywhere for seven years. I've been using Automation Anywhere since 2017.

From a stability perspective, whether it's servers or virtual desktops with agents, we have very few issues. We have multiple servers and have never experienced downtime. We have had one or two nodes go down based on hardware issues, however, it's resilient. 

We're now at 324 automations, and it definitely scales. The screens prioritize things, and you have dashboards that say what's working and what isn't. Those types of activities help drive us to where the problems are and show us what we need to resolve them.

Technical support is solid. We pick up the phone and call and create tickets. We get responses almost instantly. We've had many nights trying to figure out how things work on our network or looking at logs. They've been great about jumping in any time we've asked for help. 

Positive

We did not previously use a different solution.

Throughout the history of development, people have tried to automate things. We've never used a tool that had the control room and the features, the scheduling, and the complexity that it could handle. When Automation Anywhere packaged the whole bundle together, that was the differentiator that really drove us to it.

When we think of ETL, all the standard tools, whether it's SQL or Oracle, we still have all those. However, for speed and simplicity and getting things to production fast, we'll leverage Automation Anywhere.

Many other options often require a data expert. You have to go to database tables to do automation or ETL-type activities, and you have to schedule that and know if there are conflicts within other systems. Plus, if there's downtime, you may not be able to run pieces. It's true coding. There is testing that's also required and the delivery time is not measured in weeks. It's measured in months. We'd all like everything to integrate seamlessly. That said, the real world comes into play, and I'm glad we have Automation Anywhere to fill everything out. 

Setup for us was probably the longest lead time. We're a bank, so we always have to scan the code base. We want to jump in, understand the connectivity, and understand how things are going to happen. There are a lot of planning-type activities before the install. We started in 2017 with version seven of Automation Anywhere. We went through version ten, then moved on to the A360. Each experience became better and better.

We have a PCI-compliant installation as well as our normal normal network.

Our experience deploying Automation Anywhere was seamless. From a server perspective, we run about a dozen servers in four dev IT QB production environments. We'll continue to do the first servers in dev and move to migrate them all the way through production. For any issues that we have along the way, customer service is right there with us to troubleshoot.

We've seen an ROI via hard saves. We define a hard save as someone having to leave the bank or a contract has to leave. We are net positive in our spend. We've managed to prioritize the highest use cases from a cost-saving perspective.

We find it comparable to other products out there. I wouldn't say huge differentiators from that perspective. 

We looked at autoIT to look at for specialty use cases. 

The very first bot that was rolled out was on my team. I've been able to see the control room and the code in progress and evolve over the years has been a pleasure. 

I'd rate the solution ten out of ten.

From an RPA perspective, it has all the core functionality. We can automate the bank's systems. The reliability, performance monitoring, and development time are excellent. In 2017, it used to take us six to nine months to develop. That was slow. Fast-forward to 2024, and it takes six weeks, plus or minus two weeks depending on complexity, to deliver an automation. 

We were in finance before, so all of our use cases have been in finance. Recently, we have grown out to IT. Our use cases now encompass HR, IT, legal, and everything that we can.

There have been numerous improvements in the organization. We have saved hours and time and hard dollars. In the first year, we saved over half a million dollars. That was about six months of time. After that, we have done at least three million year over year, and we have increased that very much. As far as time saved, it is well over 10,000 hours in the first year alone, and we continue to grow. This year, we are projecting 30,000 manual hours saved.

Prior to the implementation of Automation Anywhere, we had lots and lots of manual work. People would go into Excel and copy data from one master sheet to many sheets. They would compile data. They would take lots of time to do these things. Today, they can go in, press a button, and launch it. They can download hundreds and thousands of invoices, whereas previously, they used to do it manually. One of our use cases saved two people four days a week of time, which is 32 hours each. We now do that automatically in six hours.

The learning curve is initially a little daunting, but after you are in there and you understand how it works, it is very seamless. It is very easy to pick up and very intuitive, and then from there, it is pretty much you go and get your hands dirty.

The tools that we integrate with Automation Anywhere so far have been Python scripts and PowerShell. We have got Power Automate and Power Flows from Microsoft. We are starting to do some cognitive RPA. We are implementing OpenAI through Azure. We have got a lot of that going right now.

The integration with all of the documents and APIs is very seamless. There are packages available in the store if you do not have the integration built-in out of the box. They are available to everyone. Everything that we have been able to use has been just drag and drop. We can just pop in our credentials and be done.

Automation Anywhere has affected us in a positive way in terms of employee capacity and compliance. We have not had to backfill roles. We have not necessarily replaced people, and that is by intent. We did not want to replace people, but we also did not want to have to backfill people. We wanted people to focus on things that they value and be more productive instead of doing mind-numbing things that get no value, but they just have to do it.

Our time and cost savings have been immense since the beginning. In our first year, after we started launching the bots in June or July of 2019, we saved half a million dollars and 10,000 man-hours. Since then, we have grown more than 70% year over year. This year, we are on track to go up to about 40,000 man-hours saved and more than three million hard dollars saved.

They have been able to provide automation at scale pretty well. We fired up and started off with only three production machines. We are now up at five. Officially, we were going up to seven as of next week. We have heard about people here at the Imagine conference who, for example, have hundreds, so the point is proven, and the facts are there. They can scale up very quickly.

The main Automation Anywhere Program offering we use is Pathfinder. We have not utilized our partner services or anything like that, but Pathfinder has been great. Their user groups have been great. To be able to focus and see the product launches beforehand has always been advantageous. The ability to see that has been good.

The features that we found most valuable have been just automating manual processes. We are able to integrate and work with applications that users typically work with. That has been the best feature for us right now. 

Some of the biggest improvements they can make are with the interface. It can be improved in terms of usability or searching for something. For example, icons are hard to find. Typically, you jump into the search box, but being able to go in and find things quickly with the eye could be very valuable.

We have been using Automation Anywhere since 2019. It has been five years.

The stability of the solution has been great so far. It has been very resilient. Obviously, it depends on how you build it. You can obviously make a bad solution and it is going to be bad, but the uptime has been amazing. We have not had any issues with the cloud service since we moved to A360. It has been great since then.

I would rate their technical support an eight out of ten. There is some room for improvement. A lot of that depends on who you talk to. You have a great person and you have a not-so-great person. 

On the client support, so far, their service has been a ten out of ten. We have had amazing reps who I have worked with, and I have nothing bad to say about them.

I did not use a similar solution previously.

We use a mix of on-prem and cloud devices. We are exploring Microsoft Azure to go to it soon, but we are not using it today.

The deployment experience was a little bit frustrating at first, but I was not the one involved. Our architects were having issues, but we engaged with the Automation Anywhere solutions engineers. We were on the phone for maybe an hour or two hours and they fixed it. The deployment was great.

Our ROI is time saved and money saved. This has just been massive, and we continue to grow. We will be growing in the future, especially after this year.

There has been a half-million-dollar return on investment in the first six months alone. We will be up to three million this year. That is our projection, and I think we are going to exceed that.

The evaluation was done before I got here, but I know the company did evaluate UiPath, Blue Prism, Kofax, and a few others. They evaluated the top Gartner Quadrant applications.

My favorite aspect of the Imagine event is being able to see what other customers are doing, not just networking but seeing the presentations, the breakout sessions, and seeing how other companies are doing the same challenges and maybe way better. It is a good time to go and reach out and ask them how they are doing something or how they are scaling up. For example, one company here has managed to scale up to more than 800 bots. They do something with Azure where they turn on a machine, and it is very cost-effective. That is solving some of the problems that we have.

The Imagine experience has been great. This is my second year here. It has been fun. It is helpful to learn. We have done a lot, so I really enjoyed the entire experience.

I got one of my direct reports here for the first time this year. Some of the things or the reasons I did tell him to come were:

• Being able to network
• Being able to learn from others and see how they do things
• Being able to talk to people who have the same challenges that we have and being able to figure out how to do it better

On a scale of one to ten, I would rate Automation Anywhere a ten out of ten.