Automation Anywhere Reviews

I have used it for multiple use cases across various domains. I started with automating use cases in the utility industry, such as customer billing and processing meter readings. Those were the initial use cases for which I used it. Currently, I am using it for a transport company in the U.S., where we process their invoice documents, perform three-way matching, manage their supply chain records, and handle daily billing bots. All these implementations have been successful.

For the transport company, we have identified a use case. Their ticketing team is manually processing all the incidents that occur during that day. We are now collecting all the documents and information about previously resolved tickets. We are creating a knowledge base out of it, and we will use that along with the AI agents that Automation Anywhere has. We will create an AI agent that will help take care of tickets by learning from the knowledge base. We are working on the PoC, and within the next quarter, we will be able to implement that.

We have implemented a Generative AI solution using Automation Anywhere and ChatGPT for email management. We implemented it for semantic analysis and sentiment analysis. One of our clients wanted us to create a bot that automatically fetches all the reviews from all of the social media platforms, including Twitter, and create a knowledge base within their own platform or database, whether the review is positive, negative, or neutral. For that, we leveraged the ChatGPT plugin along with Automation Anywhere. We created a bot that reads all their reviews, does semantic and sentiment analysis, and accurately describes them as positive, negative, or neutral.

We have not yet used Automation Co-Pilot, but we plan to implement several use cases. One use case involves integrating AI agents with Automation Co-Pilot for conversational AI. Users can input queries, and AI agents will run prompts to fetch required details directly in Automation Co-Pilot. This is particularly beneficial when the process SMEs need to verify post-bot run actions and address any data issues. Currently, the RPA support team is asked to rerun bots. We aim to enable SMEs to prompt bots for reruns, reducing response time from different time zones from five to six hours to immediate actions, significantly boosting productivity.

By implementing Automation Anywhere, we wanted to reduce the manual effort required for various processes for the clients. Previously, the client's accounting team had to collect all the bills, and based on the vendor, upload those to a particular portal. They daily receive bills for more than 250 vendors. We have now automated the process. There is no manual intervention. Earlier, this effort used to take more than 300 hours per month with more than ten people, whereas now, it does not take more than 50 hours per month, and they have only five people.

We have done integrations with Oracle NetSuite and Google APIs. We have done automation with ChatGPT and Claude AI. We are now leveraging Document Automation along with AI agents. We have also done integration with Anthropic. The integration is quite smooth and seamless. 

I have been using Automation Anywhere to automate repetitive tasks across various domains and organizations. We have developed a lot of automations in domains like finance, HR, and supply chains on a daily basis. Basically, we create bots using Automation Anywhere that replicate human actions. 

Currently, we are working on a business case involving agents who respond to phone calls, providing order dispatch status. The average call time is five to six minutes. By using AI, we are creating a chatbot so that a customer service agent can input details and quickly provide all the customer-related information. This reduces call times from five minutes to one or two minutes, which is something we are currently working on. We are also exploring AI use cases for things that are not structured or rule-based.

Previously, we were using legacy automation methods. We were using different platforms to automate the system by writing scripts. You get the best value from automation when you automate a process end to end. In a business process, multiple applications might be involved in completing the processes. Automation Anywhere provides better integration with applications. We can integrate multiple applications at the frontend or backend and complete our processes. Previously, we could automate only a few parts because of limitations in supporting various technologies, whereas Automation Anywhere helps to integrate all the applications and automate a process end to end.

I have integrated it with SAP, Salesforce, ServiceNow, Jira, Tableau, and a lot of Microsoft platforms. We have also had integrations with database and mainframe applications. The integration is seamless. They have packages for particular applications. If you want to work with Salesforce, they already have a package for Salesforce. You just have to connect Salesforce with a certain set of details and provide the API details. It is seamless and within a second, you get connected, and data starts to be exchanged with the application.

It saves headcounts, improves customer experiences, and provides time and cost savings. In some projects, millions of dollars are saved annually from a single bot. The response time for certain customer scenarios has also been made efficient.

I work in an automation Center of Excellence in health care, and I utilize it for everything and anything that is appropriate in health care. We have approximately 41,000 hours worth of automation that operates and handles tasks ranging from assisting with HR operations, such as leave of absence, to medication monitoring and much more. Our portfolio is quite expanded.

We are also jumping into the Co-Pilot world because we want to start embedding it into Teams, SailPoint, and some of the other tools. 

We are also looking at a unique use case. We have discharges, and there are certain types of prescriptions that are just extremely specialized as part of discharge. We have medication contracts. One of the things that we have going on in our organization is a buddy system and then an official request. The buddy system is essentially prescription denial appeals. We would like to use AI to search our contracts to figure out what is the standard for these medications and what are the denials and appeals that we can have prewritten and ready to go.

It was a response to COVID that prompted us to dive into scalable tools. We needed scalability and the ability to perform 10,000 or 1,000 or 200 tasks at any moment. No other software that we have had could provide such scalability and is built in a modular way.

It is unique and almost invisible. You do not realize its impact until you discuss it with users who provide positive feedback. We build automation, support it, and deploy it. When we meet with our users later, they have such good feedback about how impactful these things are to their path. For a nurse, not having to repeat a task 10,000 times has made a significant difference. Especially during COVID, it was truly helpful on the front line. Now, I also employ it with other powerful medication tools.

I was personally able to see its benefits as soon as I jumped into software. It was one of the most impactful and amazing tools for my day-to-day life because, at any point in time, I could design something, modularly build it, and deploy it. It can handle such amazing tasks, including things like templates and design and all other materials that we have for communications or activities, and produce them for me automatically. For me, personally, it made a huge impact right from the get-go, but as an organization, we definitely had to learn how to make choices on our use cases.

It has absolutely saved us time and costs. The whole point of the software is to develop something that at least on a use case basis provides value. We have many years of learning how to do our program. Over time, we have also been using it for other things, such as compliance. We have definitely evolved from just saving time or money to using this solution for everything we can use it for.

My main use case for Automation Anywhere in my current company is complex to describe, as I started in June. 

My primary focus has been restructuring the team, creating processes, best practices, and standards. I stopped the whole production, not implementing new automations or enhancements, ensuring we can scale up. 

One of the major business cases we have is invoice payments, where we handle a good number of invoices using IQ Bots. Eventually, we will migrate to Document Automation once we transition to the cloud, which is starting next month, May 19th. Invoice payments are a great use case since we receive different types of invoices from various vendors. 

We use Document Automation to organize information, restructure it, and then grab the information to save it into different systems of records. This is probably, from my perspective, one of the most important cases. Due to my seniority here, I haven't had the opportunity to know too much about the business cases beyond assessing the infrastructure. However, that is one of the critical automations from my perspective.

I've seen many benefits from using Automation Anywhere so far, including having around 50 automations running in production. I can't say right now exactly how much we're saving in dollars, however, there's a measurable benefit, as we work closely with the legal team that performs a lot of manual work, and we help them significantly. That's my main customer right now. Additionally, I have technology and finance as other critical customers, covering probably 80% of the company. As a financial institution focusing on financial advice, we are about to open a digital bank in the next few days.

Our primary use cases with Automation Anywhere revolve around process discovery, where we've used that with many clients to identify areas of opportunity for automation, map those out, and build the core automation to drive the new modernized processes. We originally had done a fair amount of work with robotic process automation types of opportunities in and around revenue cycle with health system clients, ensuring that they get paid appropriately for the services they render.

One of the really interesting use cases that moving into agentic automation brings to the table are more complex use cases, where we can work with things such as medical necessity denials, where payers will deny or downgrade the payment that they provide to the health systems based on a set of medical necessity criteria. 

The introduction of the agentic capabilities allows us to ingest that denial letter, along with the criteria for medical necessity that's required to be met to be paid, and then work with the medical record itself, so the agent can scan the medical record to find out why it's denied matching to the criteria that's required to support it and determine if the criteria are met. If so, it can then draft a letter. 

Traditionally, that's been a highly manual process that requires a clinical resource, which tends to be very expensive, and they can do only about 10 a day or 50 a week. With this kind of automation, the draft letter is provided to them for review and confirmation, allowing them to increase productivity by multiples across the impact and giving them the opportunity to work more effectively in terms of the span of denials, because most health systems never even get to all of them, determining whether they'll take the time to do it based on labor intensity.

With all the things happening with AI in the market right now, one of the big challenges that clients have is ensuring the quality. There are fears around AI that people have about whether the AI will hallucinate and those kinds of things. Having a partner like Automation Anywhere, a company that is known in the industry, is a leader in the industry, brings a lot of credibility to how people look to solve those problems and drive that comfort level. 

Customers also are looking for the kinds of solutions that help enable their workforces to be more effective. Agentic capabilities bring a lot to that. If you think about not just the traditional labor savings, but how you can elevate the performance of the employees that will still be there, the agentic AI brings a lot to the table for those kinds of solutions as well.

Our main use cases for Automation Anywhere are anything that's end-to-end automations. We initially used to do finance and HR only, however, eventually graduated to different verticals and departments. Our use cases have been predominantly high-value, high ROI, and anything that can be repeatable, algorithmic, and automated.

Automation Anywhere has significantly improved our ability to automate both standard and complex business processes. Initially, we focused on traditional rule-based automation to streamline end-to-end workflows in functions like finance and HR, which delivered strong ROI.

More recently, we’ve expanded into HyperAutomation where we have used Automation Anywhere to orchestrate the end to end AI solutions. These tools have allowed us to tackle tasks that previously required manual intervention by enabling role-based, persona-driven agents that make near human-level decisions with human oversight 

Our use cases for Automation Anywhere primarily started with finance and accounting, order-to-cash, supply chain processes, and then reporting areas, and now we are going towards more end-to-end automation. 

The main challenge or objective I am looking to solve with agentic process automation is that APA, again, the next step after RPA, is we're looking at more cognitive, probabilistic and cognitive solutions using NLM, which is also self-healing, self-learning. 

The primary use cases start with procurement, payment or customer management, order management cycle.

Automation Anywhere's features benefit our company since we deal with a myriad of customers, and we're talking about different security protocols, requirements, and we are a global company. That puts us in a position where we have to comply with the local regulations of each country. Automation Anywhere follows the same protocols, and they are compliant on GDPR and other areas, making it easy for us to expand.

Our primary use case for Automation Anywhere began with order processing, specifically the order-to-cash process, where we manually enter orders from the customer through PDFs and other methods. 

We started from four bots and have grown to close to 60 bots at this point, expanding significantly from two or three processes to ten times that scale over the last five or six years.

Our document automation, specifically with IQ Bot as part of the automation, has significantly improved efficiency and proficiency, allowing us to be currently engaged in proof of concept initiatives aimed at further advancing the document automation process with generative AI.

Document automation has indeed been beneficial in handling large volumes of documents in our organization, where we process product-related data sheets that range from 80 to 120 pages, efficiently extracting data that would take a human several hours to read manually. I can confidently say that document automation saves us time, as it takes human effort significantly down from five to seven minutes manually per PO. It is being executed much faster by the bots.

One of the notable benefits we've realized from Automation Anywhere is a significant reduction in errors when processing data, which improves both revenue accuracy and operational efficiency.

In the age of agentic AI, the big challenge is moving to the next step. We are currently running all RPAs now. So robotic automation is the key for us now, and we are moving to the next generation of automation, which is agentic processing. We need a helping hand to make sure that our company strategy and the goal can be achieved with this agentic automation. This year, we have had a big push from our leaders to be involved, more and more, on agentic processing. That's a focus for us. 

As we evolve from RPA to APA, we are at the early stages. We're just moving over. The first step we are taking is a document automation with AI capability on top of it. That's our first step that we are doing at this point of time. Eventually, we'll get there, but it's really early.

We are using some AI. There are 20 to 30 tools at this point. So we are trying to bring in Automation Anywhere into one of those ten. It's in the evaluation phase at this point. There's a big team working on it. We want to get the right tool both legally and via a vetting process before we can bring any tool into the company. That's an ongoing process.