How do you or your organization use this solution?
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I am using this tool to automate one process in a Citrix environment. The process is used to launch one website from which data is captured. After this, another application is opened and the data is pasted into it. The result is our final structured data.
We primarily use this solution to automate manual processes of limited or negligible value in terms of up-skilling personnel.
I work in the logistics industry. Right now, we have different processes and use cases that we are using it for. * It is extracting information, partial information, and real information. This is one type of use case. * We also use it for the company accounting related information that we are doing. * We get different types of rates from different windows. We are using it for that process. These are the high-level three use cases that we are currently working on.
We normally use automation to interact with SAP applications. Our platform is entirely built on SAP. We are mainly a manufacturing company. We interact with SAP and do a lot of things, like invoicing, entering the value in SAP, and so on and so forth.
We are planning to introduce a bot for every employee in the organization. There are around 9,000 employees in our organization. We are trying to introduce a bot for each one. That's our use case currently. We are working on how to improve their day in, day out life, how to make them work efficiently, removing repetitive tasks from day-to-day work, and give them important tasks/solutions that they are supposed to work for.
In our own company, we are using it for own employees. They are building bots for our own employees.
It has made our life easier during the interim process with what we do in the banking sectors.
I have overall 10 to 12 years of experience in RPA. I started RPA doing VBA. That seemed like I needed coding, and for coding alone, I wasted more time. I came to know Automation Anywhere, which is a product that automates RPA processes in an easy manner. I was interested to learn it. I had an opportunity to attend training for Automation Anywhere for almost one month. I started with version 10.5. It was really interesting. From the beginning, before I interacted with Automation Anywhere, I thought that I would also need to code something using the details, then it will take more time. That is not the case. If I want to automate something, I can easily drag and drop. There is any function that I need for a business case or some critical thing that I need to automate, then we can create a condition, have a API, use Excel automation, or do everything together.
I have had an opportunity to work on Automation Anywhere a lot. I have worked from version 8 of Automation Anywhere through versions 9, 10, now 11, and they are going to launch a new platform A2019. I have also worked on other modules of Automation Anywhere, like IQ Bots, MetaBots, Bot Insights.
In our company, we are following a different structure in this case: How we are going to develop the tool and what are the key nodes that we need to concentrate on. Though, we always concentrate on this type of information. Lastly, we are talking about the accuracy of the output. These are the scenarios that we are coding all the time.
I am leading a team of RPA COE. I'd like to explain something about the organization. We are a pioneer in mortgage real estate. For more than 20 years, we are serving US based clients and mortgage banks. The main purpose of using the Automation Anywhere is to have something which is more than RPA that is artificial intelligence. We wanted to combine all these skills so our client can get all the benefits. We do not want to train our bot constantly. We want to have something which has a self-learning bot. This is why we opted for Automation Anywhere and are using IQ Bot. Because we have a machine learning compounded into it, which means by using this tool, our bot is self-learning so we don't need to train again. That was the primary reason.
We have headquarters in London and we also have a presence in the US, Dubai, and a global development center in Hyderabad. We specialize in digital services such as our own chatbot platform, and we are also working on a specific OCI platform called PixTract which would complement existing RPA tools as well as many other projects which are relevant in this scenario. As we are a partner of Automation Anywhere, there are quite a few use cases that we believe can provide good solutions for most organizations. We are looking at showing that Automation Anywhere is a good solution in terms of automating a lot of centers out there. There a lot of mundane tasks which happen in such centers and which include a lot of processes. I believe that automation can really do a lot of justice [in such cases]. It could be invoice processing in insurance or it could be claims processing in any type of insurance. [It can be used for] automating a lot of manual processes. I see a lot of areas where we can actually do it. As we speak, we are talking to an insurance company. We are planning to have a PoC on their invoice automation and I see great potential with it.
We have quite a few use cases that we have built. Not one, but many. I see a lot of value in the cognitive part of it: the IQ Bot. In the traditional RPA market, people have been doing it for a very long time now.
In the digitization space, Automation Anywhere has some of the new bots, which are really good. This is making the invoice digitization as a use case quite helpful. The user interface is very interactive and easy to use. At the same time, for giving results, it looks very impressive. That is the use case that we are working on currently. That is one of the best use cases that I have dealt with from Automation Anywhere.
When we started using Automation Anywhere, it was the elimination of mundane tasks, to free up employees who were doing repetitive tasks, and to ensure they could do better quality work. So, we started off with the finance department, where we permitted our accounts payable, as in the billing process. Now, we have slowly moved on to other departments, like HR, quality, and projects.
I've been part of multiple bot automations ranging from different sectors from finance to retail to banking over four years during which I have implemented multiple bots. The primary use case for Automation Anywhere is something related to financial and banking operations. Because the financial and banking operations are something which we do repetitively and need to be done with a lot of time. A perfect use case for RPA is something which is repetitive and has a lot of work. Use cases in the financial and banking sectors are something where we have multiple invoices to process multiple transactions. These two sectors are important sectors as use cases for RPA.
We are using Automation Anywhere for multiple automation processes. There are multiple clients with KPMG who have many automations going on. In finance and accounting companies, they ask for report generations and record fetching from some data source type of tasks. They want it to be fetched and exported into forms, charts, etc. using automation. The task will happen when triggers are required based on some data sources. It is the data that will be exported and sent over mail. These tasks are mainly focused on organizations.
We'll be discussing our implementations for Salesforce and using Automation Anywhere to automate sales for processes within the organization. We focus mainly on sales and BFSI.
I started my career in RPA tools. It's five years for me working in RPA. I have automated different type of use cases in different businesses, like finance, insurance, banking, capital marketing, and manufacturing. There are a lot of areas where I have implemented use cases using the Automation Anywhere tool.
I have worked across many different type of RPA use cases that we have done, starting with finance, manufacturing, and banking. The use cases are tremendous. There are many. Thankfully, being a technical person, I've also learnt a lot about business processes. Personally, in my career, I have not just developed my technical expertise, but also using RPA and the Automation Anywhere tool, I have engaged a lot of vision as to how the business and the finances process work across different direct industries so far.
Processes which have a decision making and do not have any required rule-based are considered for automation.
I lead the automation team in UI. In the UI, we automate mostly PDF and shared devices, then most web applications. For large volumes, we mostly automate PDFs.
I actively participate in doing all the data analysis and robotics things in the company. I work for a Genpact. Its a Genpact India, which is privately maintained. It's a US-based company. We work for a different type of a client. It's not only about healthcare. We work for a financial domain and financial development domain. We deal with different types of analysis, where we apply all types of robotic automation processes along with machine learning algorithms, if required. It all depends upon the client and what they require to done on their behalf. This solution is all about robotic process automation (RPA), which we deal with. We know that in real life, we have hectic work day-to-day and the volume is increases. Doing manual intervention leads to error. That's why everywhere it feels like we are implementing robotic process automation. In a traditional way, we used to use that RPA console, but this tool helps us do RPA and saves us time, improving our quality. This is required at any level to get a better ROI.
We use it to develop bots. Use cases: We do Excel operations if we have to download any file from a portal to do any Excel operations. We send these outputs to our business customers. Bots are specific for each customer.
When we started Automation Anywhere, it was a rule-based automation. All the rule-based used cases we could automate. Now, with the upcoming version, it includes AI and Python, so we can go ahead in our roadmap and start automating dynamic used cases too.
We generally do stuff to automate websites and SAP that we have in our company.
We did the PoC in 2016. It was mainly in the services process. We were more focused on the company billings, where there were multiple subprocesses and sub business units. We have did the complete landscape of more than 15,000 FTEs. We are talking around 153 different work types. As the main lead, I was to provide the real-time support to the customers who needs us to fill out required details. That was a completely repetitive task. We decided to conduct a PoC on that, which we did.
I'm responsible for the digital practice within the tax business. We are building a lot of our solutions using the Automation Anywhere platforms, both with IQ Bot as well as the regular RPA, in which we offer it to our clients. I belong to the tax practice. My role is to see how we deploy technology to increase the efficiency of tax departments and help build new revenue streams from technology in the process . We work with our clients offering digital solutions in the tax space. That's really what I do for a living. We have had a lot of success using Automation Anywhere products. We've actually built a few solutions that were done on the EY cloud, which are offered to clients as a managed service.
In Concentrix, my role is as an asset manager. It's very much focused on the RPA practice globally, which is why we come from enablement to delivery and support. End-to-end is something that is managed by me. One thing I really like about Automation Anywhere is the product has actually taken leaps in the last three years. We started with the conventional RPA type of use cases. But, in the last two years, with the help of IQ Bot, and what I learned today about this Attended Automation 2.0, I think they are addressing vital key challenges that we have faced so far. The description on top of the description is what their model is. They're partnering with us in this journey of transformation. The type of technology advancement that they have done will certainly help us a lot.
I work for KL University as an associate professor. I take care of internships, placements, and industry connect. I'm the associate dean of internships, placements, and industry connect at KL University. In our university, we have started a center of excellence in association with Automation Anywhere. This robotic process automation tool is very important in terms of distal transformations. The majority of students are doing a lot of robotic projects with the help of the bot that we have established in our university. Another way that this tool helps is professors are doing a lot of researching initiators in terms of automation, wherever there is automation, there is the possible usage of RPA.
For us, it was about driving process efficiencies. We have an awful lot of processes that need to be completed when we are placing candidates in roles to ensure that the engagement for both the candidate and the client is successful. So, that might include compliance activities, ensuring candidates get paid, and ensuring that work places are safe for people to turn up to so they can go home to their families safe at the end of the day.
We are discussed specifically the IQ Bot from Automation Anywhere which has excited me a lot because of the functions that it brings. They are really commendable because I have seen a lot of other software and solutions which are not giving that much accuracy in terms of the output. But, IQ Bot has been one of the top-notch solutions that I have seen in the OCR field, which covers a lot of the areas where we can transition unstructured data into structured data. This can be utilized in many use cases, like accounts payable, T&E processes, and so on and so forth. That's why I'm very excited to talk about IQ Bot.
We started off with accounts payable type of processes. That was our proof of concept. We built that within two or three months. It was highly successful, then we got a high level of endorsement from the wider organization. From there, we moved into academic processing where there's a lot of opportunity around the processing of student results, assessing students for admission into the university and handing out offers to students. There are a lot of things in that academic space which are highly manual. Often, these take quite a long time to process, so there's a clear benefit to the student by reducing the cycle time, which has led to great benefits for the organization.
I will be talking about some of the leading products from Automation Anywhere, which is their RPA Taskbot and IQ bot. Being a consultant and partner, we have implemented successfully some solutions for Automation Anywhere using IQ bot and Taskbot.
We use this solution for automating tasks such as: * Manual journal entries on monthly closing * Travel and expense claims processing * Net sales monthly closing checks * Logistics master data maintenance for every new shipment * Vendor creation on master data for every new demand * Order confirmation reminders automated for vendors
We use this solution to automate the following task: * Open MS-Excel-File from Folder * Update the data with keystroke-command * Wait for calculation of the result * Save the file * Loop the command above for each file in the folder * Send email-notification to the task owner * Send Quality Check to task owner (.pdf-command) * Error handling (where applicable)
We use this solution for building RPA to automate business & finance processes.
We mostly use it on engineering processes. We also use it for finances in SAP — uploading, invoice creation, etc. But we have mostly focused on our engineering processes. An example from the finance area is when we need to invoice a customer. We open our SAP account and upload all the data into SAP, create an invoice, and send a notice to the finance team that the process has been completed. They then move the process further along. It's a daily type of operation, whenever such requests come. We are using the on-premise version because the cloud version (A2019) is not out yet.
We are using it in all departments: management, sales, human resources, IT, and customer service.
The primary use case would be to do automated processing using Excel with an application, even SAP. We use it for extracting data tables, clicking on data, recording records, and extracting the records table. We use it for all the Excel operations. We updated Automation Anywhere already to version A2019 with all the Excel operations.
Our use case is spread across multiple areas: * We are using it in finance: automating the month-end process. * There are a lot of review processes that happen every week. We are in the middle of that. * We have a product lifecycle management process that when we close the books on a product, information needs to go into multiple systems. We have another bot in system for this. These are the three things that we have in production right now.
Our primary use for the product is to automate business processes. Mostly this means financial processing. We have a lot of use cases in finance. For finance alone, we have 30+ bots in production. Other bots are for a variety of other business uses like the supply chain, networks, and business processes. We have 400+ bots in production as of now, all together. We have automated business processes, like finance, supply chain, network systems, and payment systems. We are using it on-premise and migrating it to the cloud at the end of the year.
Our primary use case is for our shared service center that is located in Kuala Lumpur and Manila. These are our key target areas.
We use it more in finance and HR processes, such as payment processing or validation of data. It is used to validated data from two different systems or putting that data into an application. There are multiple use cases.
There is not one specific use case in the sense of what we use the product for. In the broader scope, it would be automation. But right now we have several applications. We started our journey with the tool in 2017, and we have automated several processes in finance, IT, and engineering. In finance, for example, we have automated cash application, billing processes, reporting, payment processing, and we are using IQ Bots to automate our invoice processing. We completed the pilot, which provided us with phenomenal results. So we tested with a small entity with 30000 invoices and around 300 suppliers with a high level of success. The character extraction capability of IQ Bot is much, much better than the other OCR (Optical Character Recognition) engines that you have in the market today. So we are completely pleased with that, and we are planning to upscale our invoice automation processing.
I have automated HR, hotel, and some IT processes. I have also automated processes in SAP.
We are currently doing automation on the ground level. There are a lot of unexplored areas of RPA (different scenarios) that we have not captured yet.
We are an Automation Anywhere partner and we use it in the finance domain, in areas like B2B or B2C, etc. We also use it in HR and other domains for our clients. We have used it for vendor-invoice processing and recruitment. Those are our two major use cases as of now.
Our use cases for this solution are all related to Telecommunication Companies (Telcos) because these are our prime customers. We also use this solution to automate the support system. Some examples of use cases are service creation, service deletion, getting complaint details, ticket booking, and ticket updates. We have created unattended bots to handle these processes.
We use it to automate repetitive tasks. When an employee logs into an organization and their work is mundane (doing a repetitive task), I personally feel that it will take a toll on their motivation. We have to do something better as human and it should be more creative. Any repetitive task has to be automated. This improves the morale of employees and will bring out a lot of creativity in them to make more decisions. This is how people start to innovate and how companies grow.
Currently, we are focusing more on finance, shared services, and interpretive related ideas. For accounting and finance statistic, we have reconciliation specific processes, such as rates uploads into systems. The majority of our development is on SAP and Excel. We are focusing on the financial services area, so our use cases are more related to finance and accounting. These are the use cases developed by the development team. We are using an on-premise deployment model.
The primary use case is for day-to-day activities. We are also automating the activities that the SMEs are doing. We are an agriculture-based company. We have automated finance, HR and MDM for B2B. We have automated more than 300 processors within a year and a half.
Primary use case of Automation Anywhere is financial accounting reporting use cases. We use unattended bots for all the financial reporting. We have also done some use cases in master data management (MDM). These are the things that we did early last year. For the next year, we will be primarily focused on cognitive automation. We've already started with IQ Bot exploration. We will be looking into the new version of IQ Bot.
The primary use case is automation in respect to the financial sector. We have been operating with trades across globe. Right now, we have been upgrading to version 11.3.2. Two months prior, we had been using version 10.7.5.
I belong to the learning and development department, and this solution is part of our capability. We do not have only a single use case. We work on POCs for SMEs, handling the automation of modules such as Vendor Master and journal entries.
We started with finance use cases. Some of our biggest success stories have been with collection correspondence strategy around AR and the cash application. We also focus a lot on the financial close process to the month-end processes. These are the biggest areas of focus. We are starting to look at AP in finance. Beyond finance, we're also trying to look at the sales processes. Finance was sort of a pilot. We are now looking at sales processes starting from the customer order handling to services, and how we can enrich the experience. Our goal is to enhance the customer experience. We have a suite of technology products. Most of the time, there is communication between various products. We get a number of emails from our customers that we send out. E.g., our system is based on some criteria that sends emails out to customers. Therefore, there is a lot of user interface level interaction. However, we always look at the problem statement and work through that.
The primary use case is data extraction: How to extract the data and run the components alongside it. I have been using version 11 Community Edition, which is good. After coming to Bangalore and this morning session, they showed an example of A2019, which is the latest version. That is a game changer. What we did not have in the previous version has included in this version. I had a little preview of all the changes, and I'm pretty impressed by it.
We use this solution for quality and GXP. We are a pharmaceutical company and have marketed products that are about to be shipped into the market. Part of our process is a compliance check of those products. We have specifications ready, and we have the parameters with which it has been manufactured, and we have to compare those to ensure that they match. This compliance check is what we have automated using this solution.
My primary use case is collecting data from the latest sources, whether it be a spreadsheet or PDF. I have used Automation Anywhere in my current and previous organizations. In my current company, we have been successful with pushing the solution through and getting management buy-in.
I have done a lot of use cases. Recently, I have done SAP automation. I worked with MS Excel, a web application, a Windows application, and a mainframe application. We automated three to four applications at once. We automated them in a row where one application's output would be input for another application. I have done development and production support. I have helped organizations with integration.
We have many use cases for this solution. These include use cases from our life science, procurement, and HR departments. More generally, it is used for our regulatory and life science tasks, and some finance as well. We have a huge roadmap that includes a lot of processes that need to be automated. For example, some of our processes are related to clinical trials and the drug development process. They include verifying documents and entering a lot of data that has to be processed. The automation reduces the effort and time it takes to complete these processes. We have a mix of technology in our environment, including legacy systems and new technology.
We have processes in our company that are manual and redundant. We need to reduce the time and improve the efficiency simultaneously. These will be the best use cases for automation.
We work in a very complex type of environment. We do a lot of data analytics and strategy consulting work. The work that we have automated so far is our legacy suite of applications, doing all the reporting, data extraction from different web sources, and collating the information, then publishing to websites. We use RPA or the Automation Anywhere tool to orchestrate the whole process. We combine it and integrate it with other API and Python solutions to help get the data from a particular source, whether it be an FTP source or AWS environment. Then, we make those validations using Excel. After that, we do our QCs and validations, then publish or submit the reports. We partner with a few other vendors as well for different use cases based on the type of clients that we are working with.
We use this solution to assist us in the collection of data. We have patients who fill out an application that contains information based on the affliction that they have. For example, a migraine patient or a diabetic patient will have different sorts of information contained in the application. It starts with them giving us information. There are no regulations that govern the format of what they give us. Based on what they give us, we provide them with our application. Our overall goal is to give them a better quality of life. We use MetaBots to ensure that the data goes into the proper channel and in the proper pattern.
We are working on implementing automation for a financial use case. Every time somebody travels they have a lot of receipts and they come in different formats. We would like to automate the processing of these receipts. We have a team in the US who have implemented this, and we would like to do the same thing here in India.
There are a lot of templates where details come in different formats. There is no way this can be totally automated without the human intervention, but human intervention takes a long time. We are trying to figure out what software to use, so we can automate the entire process without human intervention and the data transfers without errors. We also need faster processing of the data to happen at a higher level.
We have multiple uses for this solution. We are from a biopharmaceutical background. We are the global technology center for AstraZeneca Biopharma and AstraZeneca Oncology. We have many use cases, but one of the primary uses is for all of the business processes. We do the automation, we apply the tool and simplify the work. We currently have more than sixty or seventy bots in place, including in HR and in finance. As an example, one of the cases we were working on is industry best practices and industry innovators. We reduce the time that scientists spend on manual tasks and put them on more value-added work. Another example is with adverse effects, where people who take medication can have an adverse reaction. If the customer reports their reactions, it gets automated. We have several teams and we are not centralized, we have democratized it. We have different sequences; they have their development team, and we manage the Centre of Excellence.
We are in the banking domain. We use Automation Anywhere for loan processing to support its journey from each state until the loan is approved. We focus on title commission. We are trying to remove the human repetitive component, bring in automation, and help humans do value-added jobs. Up until August, we were using version 10.5. Recently, we migrated to the new version 11.3.2.
We use this solution for updating manual tasks such as downloading, processing, and uploading. An example of this is manual posting, where the customer is asking for money to be posted. For example, let's say that some extra money is posted by mistake. That has to be reconciled and be pushed back to the actual owner. Another example is bank transfer, where the customer is requesting money to be transferred from one bank to our bank. We generally interact with the customer and the bank, and there are several transactions that need to be completed. We now have this as a Complete Conditional Automation, where depending on the status, one of several sub-processes will be triggered and completed.
Primarily, we have it deployed across multiple verticals in finance and are looking to expand that to other areas, like engineering and supply chain within the organization. We use the RPA solution and are looking to explore the IQ Bots.
In our banking center, we are using Automation Anywhere for loan settlements, credit card transactions, and reconciliation forms. It has been easy to use.
We are in the retirement industry. We use it for application-based automation. We are trying to mimic our operations to redundant business users' tasks, like clearing claims and loans. We are using version 10.7. We are currently trying to upgrade to version 11.3.
The primary use case is for generating letters. Most of the use cases are HR-based. The company we work for is the Mahindra Group. When an employee requests letters, they go through the HR department instead of requesting the letter from the bot, Genie, that is already in place. Going through the HR Department creates a manual process across the group. We have completed a POC directly from Genie. We implemented the RPA so that once the request is received from the employee, the letter is generated and sent to the person through email. This reduces the tedious manual work required. With the completed POC, we have an RPA that we have showcased. When you request a letter directly from Genie, within a minute or two you will receive an email with an attachment of your requested letter.
We wanted to automate as many business processes as possible within the finance organization since the office that we work in today is called the finance transformation office. We transform all the business processes of finance for a better, simpler, scalable finance organization. We are constantly pursuing transformation of the finance organization as far as Cisco's changing dynamic business models. We are a predominantly product-oriented organization. We transformed our business models from products to software and subscription-based business model.
My day-to-day activity was to take data from invoices and put it into an Oracle DB. I have already automated banking uses, which deal with some of the invoices. The second case solution which I had worked with was multi-bot architecture. We have certain kinds of applications spread across our organization and the data coming into that organization is common. We made a solution as a multiBot: one Bot is working on one application and we have hundreds of applications. So a hundred Bots work together on the same set of data to integrate it. The applications are different. Say one is Oracle, one is SAP (System Analysis and Program Development) and one is Salesforce. In the way we implemented this, we segregated the workload into parts: part as a master Bot, part as a worker Bot and part as the closure Bot. The master Bot will work on the input part of the data set, the worker Bot will work with the individual (designated) applications, and the closure Bot will consolidate all the data and feed it back to the designated user. This was the plan for our architecture.
Our primary use case is working with different applications, like Excel and SAP. We get the data and reports, then produce results with Automation Anywhere. For IQ Bots, we're still working on it for data extraction. I think version 11.3 is good, but I am looking forward to working with version A2019.
We are using this solution to reduce the time and management required for the completion of manual tasks. We are also teaching our students how to create bots for automation. For example, if you have a simple copy and paste operation to complete in an Excel sheet then it might take one or two minutes. It's small but if you have a large amount of data and the task has to be repeated many times, then it is very helpful to have the bots. Using automation technology in any company is very useful for both customers and the company. I use the Control Room and we also write the code.
We primarily use this for customer data management. We use this tool to help perform transformations on our data.
Our primary use case for this solution is in finance. We have a lot of things that we are trying to automate, including performing operations in Excel. We are using IQ Bot for one of our use cases. I am currently trying to prioritize use cases to fit different scenarios and make the best use of this solution.
We've done a lot of automation with the product in the last two years. We started with accounts receivable processes in finance. I would say like AR function is one of the most mature functions in the product right now because we almost automated all the aspects of accounts receivable. We have also started looking at automating the accounts payable process as well. I've only mentioned finance at this point, but we also have done a lot of automation with IT, as well as with procurement. Right now the penetration is higher with the support functions but we are also looking at different ways to automate. For example, we would like to use automation technology in core engineering. We also want to be expansive and do projects beyond our current boundaries — outside of just India. We've already done a small PoC (proof of concept) with a company in China and we also automated three small processes with a U.S. entity. We use it daily and have done projects with the support functions, such as financial services, IT, and procurement support. We have 50 to 60 processes that have been automated using RPA in all three areas put together. This is the breadth and extent of what we have automated. We are using the on-premise deployment model.
We are a solution provider and we use this solution to help our customers with internal processes. For example, we help them with the automation of information processing tools.
We have ITMS (IT Service Management) and there are a lot of support tickets which are coming into that service site. As an enterprise application, there are too many tickets to handle live. This system is being used by service desk employees to enable them to address all the issues that customers are facing which they are tasked to resolve. Because the number of tickets is huge, managing those services and change requests is complicated to handle manually. We use Automation Anywhere now to process these tasks wherever it is not necessary to use the API to process the handling of requests. If, for example, I have an application which does not have an API, but there is one activity where a user may need to be registered in that particular application for it to function, we use Automation Anywhere for that to supply the access. We get the data from the source data and use an Automation Anywhere bot to do the registration of the user into that application. This was being done by the service desk manually in previous instances, now it is automated using Automation Anywhere. We have had about 300+ live tickets at the end of every month before using Automation Anywhere. We just went live last month using Automation Anywhere bots to take care of processing some issues. The total number of tickets that remain live has come down to around 80 as of the end of this month. It might touch around a hundred at peak times right now. But over a short period of time, maybe around six months, these unresolved issues could become zero at the end of the month. We are just evaluating the numbers from the date when we went live, so it is not so accurate. Definitely, the goal is that the count will become zero, and that is the target. It seems to be working well so far. The other use cases that we have are open-ended right now. There are a lot of potential uses. For example, if a request comes into the service now to create a VPN account, we can automate that using Automation Anywhere. That work is in progress. Today that is a manual task where the service desk people raise another ticket to another team who will go there and create the VPN accounts. We are in the process of identifying certain processes that can be automated through a bot, as there are other services for internal support functions, like HR or IT. We are trying to take some of those services to automate them. In terms of the extensiveness, we have just started with that. We have around 10 new sketches that we have automated right now but we have around 13 to 14 sketches that we wanted to automate through this process. We are using the on-premise deployment model.
We are trying to automate a few of the processes that we did manually. Product setup is an important aspect, as we are using bots to do the setup for us. We used to do the setup manually about three to four months back.
We use it for our product setup and rating products on our website. We take raw data and manipulate it, then we feed the information to the bot. The rest of the process is automated using the bot.
We use this solution for automating our business processes that make up our daily operations. We have a set of steps that we follow for each of our processes. We devise inputs for these steps and then prepare them for automation. The automation then completes and publishes the results.
Our primary use for this solution is to use bots to automate our accounting reconciliations. So whatever reconciliation does not involve judgment or review and can be done by the bot using a series of steps. For those situations where it is possible, we are now using bots we created. This helps minimize a lot of the time as well as simplifying the reconciliation process. We have a dedicated system for Automation Anywhere. We deploy it on-premise.
I use it to develop for the HR domain, where I am using Oracle PeopleSoft and Salesforce applications. Mostly, I use the object cloning command and Excel operations. I work in a banking company. We use Automation Anywhere for global HR payroll operations and payslip-related automation. We have also automated hedge loans and credit card approvals. We use versions 10.3 and 11. Compared to 10.3, version 11 is good and easier to automate because they introduced more options. You can also automate complex things. They introduced the Control Room feature too. It is installed on-premise at our company.
We are using it for finance and logistics-related tasks in departments that we are automating. E.g., for finance, we are using it for cash and bank reconciliation. For logistics, we automated eBay billing for the government portal before any goods can come out of the airport or get inside the airport for any package. We are using Automation Anywhere to create the transits IDs for this. The product is deployed via internal cloud.
We are improving our monitoring service by enabling it with AA. Our monitoring team provides configuration and some accessories to our clients. One of these resources is monitoring our hosted application, check it's working state, e.g., the input and output processes health checks and resolutions. We are trying to use Automation Anywhere to monitor these aspects auto. One of our bots monitors logs and files to create an Excel report at the end of the day and mail it to clients so that they make their decisions better for their next level faster. We are using it on-premise.
The primary use case is for the financial services industry where we do tax credit for different departments. We do automation for them.
Being a bank, we have a lot of processes which we have automated. I am a Project Manager for HR functions. The majority of my processes are in terms of income and skills processing. Those are all automated.
Our company's main application is the SAP application, so we are trying to automate SAP and associated manual work processes.
Most of our use cases have to do with Excel reconciliations, data entry or capturing data and entering it into a different portal or reconciling into Excel.
We have many use cases. We are solving business problems for our clients. E.g., it could be as simple as doing data entry or creating a mashup solution with intelligent automation, which is a buzz word these days. It can also be as complex as having AI integrated with RPA. It depends upon a lot of use cases. This is what we are solving. We are the partners of Automation Anywhere, so we are solving our client's problems with Automation Anywhere as an enabler. In addition, we are a consumer of Automation Anywhere.
The primary use case is for automating regular applications. We will get data from users, then automate that application. An example of a process that we would automate: * We get a bank statement. * We would need to upload those records into the regular application. * We would need to update the invoice numbers into our regular applications. * We need to validate everything before uploading all the data.
Our primary use case for the development of business processes. For example, finance is using it to develop a lot of business processes. We use it on a lot of things. We are using an on-premise deployment model. We only use unattended bots.
We are in the financial business and we use this solution to help provide reports for management. We download data, perform Excel manipulation, and then generate reports. The reports are then sent to the higher levels of management.
I work with clients who are in banking, the financial sector, and the accounting sector. It mostly involves work with Excel, SAP, and BI. A typical use case starts with downloading data from SAP, manipulating it in Excel, sending relevant emails, and then receiving the responses.
We are currently using it for a lot of projects, like repetitive or manual tasks. We are building bots to free human beings from boring jobs/tasks. We are working daily on Automation Anywhere to automate our processes. We are using it on-premise. We are not using cloud for deployment. As of now, we are running it on our client machines. We develop automation on our desktops, then deploy our automation on our physical desktop using Automation Anywhere.
The primary use case for this solution ranges from the web scraping to working on more complicated applications, which are built in-house. For example, in the case where we would have to get into an application that is not automation-friendly, we would use the OCRs to recognize the fields, insert information into the application then extract some of the information. We also do a little on the database front. We are a solution provider for a back-end team who works on a different manual task. We tried the same type of flow automation using a Python and VB application, but we don't have the leverage of OCR which is available from Automation Anywhere. Most of the automation that we currently handle is that which has already failed when using the previous versions with the VBAs and Python. We are using this product on-premise, so we still haven't upgrade to the cloud.
Our primary use of this product as a solution is developing bots to automate tasks and processing. For example, we have financial bots and we have IT bots. We have been involved in developing and monitoring the bots for about one and a half years, mostly for finance and IT. A majority of the tasks were done by other teams. We have automated mainframe applications and integrated the tool with web-based applications and SAP. We have automated many SAP processes, including posting the entries and POs to SAP. We are currently planning to migrate those bots into the current version (11.3.2) to make the bots more stable. We are using the on-premise deployment model. We have multiple processes getting automated through this tool.
Our primary use is for automation of data management and repetitive tasks.
Our primary use for this solution is mainly to support our email vertical, so it helps automate the management of financial, commercial and operations between our multiple domains using logistics and libraries and data points. We just use it to get data from different sources and massage some data with some specific protocol. After that, we simply have to put back the data. It is a system for data treatment and to notify the proper business handler.
We serve different clients of ours helping them streamline or ease out with their day-to-day activities. There is a team who identifies which activities can be automated end-to-end. They prepare a proposal sheet, which comes to us, and we do the feasibility of it: How much of that activity can be automated. Then, we proceed from there. Currently, in our production environment, we are using Automation Anywhere version 11.3.1. In a beta test version, we are also evaluating the latest version, which is 11.3.2.
We use this solution primarily for transporting data from Excel to SAP.
Our primary use for this product is BOE (Bill of Entry affecting imports in India) analysis and processing. Previously, we were checking the inventory with checklists and two kinds of Excel validations, and sending the mismatches to have them reassessed in a manual process. Before four of us were working on the data reliability, and really three people were completely dedicated to this task full-time. We were repeatedly taking the Excel inventory and the Excel invoices we are getting from the different vendors, and then we would check all the attributes of the data. This would mean we had to review invoice numbers, invoice dates, currency codes — so many little things needed to be validated. The detail also had to be examined like the number of items, the SKU (Stock Keeping Units) numbers and check those against the item names by validating with a checklist. So after, we created a bot with Automation Anywhere for that issue to speed up processing. Now the automated checking time is reduced to 15 minutes. That's all.
We have a lot of business use cases that we are using this tool to automate processes for. These include different business verticals, like credit, fraud, enterprise operations, and marketing. Each team has a separate dedicated RPA (Robotic Process Automation) team of its own. We primarily automate processes for the banking and financial sectors. This means all credit related stuff, such as loan applications and operations. I'm working on enterprise operations. We have different business processes that our business folks handle manually and our job is to automate them using RPA and the Automation Anywhere tool. We are using the tool on-premise.
My company' objective in using this tool is to automate every rule-based operation possible. We're looking forward to automating anything that does not need a human to make a judgment call. We have automated most operations in several applications, including mainframe, Linux, web-based URLs, Citrix automation, and in Excel extensively. We have done a variety of projects but we are looking forward to growing more into other areas that we have not yet explored. The biggest value that I see from the product is the way it works in general. The unattended mode that Automation Anywhere promotes, works great. That is the best thing, I would say. It runs code that performs on a virtual machine unattended. No one gets involved in the triggers because the bot controls the tasks. When you use a person to manually monitor a task, such as getting a quality check done, automating the task to work unattended eliminates all the human effort. It's a solution that is quite simple and straightforward to implement and is available 24/7, 365 days. No disaster recovery is required as the server is always intact because processes run to assure uptime, security, etcetera. We are aiming to have 100% unattended runs. We don't want attended runs because it increases bandwidth which is not great for support guys and clogs the system. Also, you can have some unattended InfoSec (Information Security) breaches and things. We constantly aim to have the best. At the moment performance is not 100% but I would say it is constantly improving.
The primary use case is automation of processes for people services, such as data management of the employees, and financial processes, like reporting, financial reporting, and month-end closing activities.
We are a research-based company using cognitive automation. Our use cases are: * Security. * Card protection and banking. * Traffic management. All these applications require cognitive automation. We are here to explore how Automation Anywhere supports cognitive automation.
We have an ITMS Service Desk that has a lot of tickets coming to it. As an enterprise, there are too many applications there, which are being used by employees. This service desk enables them to address all the issues which they are facing, whether it is on the application, infrastructure, etc. There is a group who manages all these tickets coming through ServiceNow. These numbers are huge. To manage these services or change requests, we use Automation Anywhere when it is not possible to use either an API or do scripting. My company is using the latest version.
We need to automate business unit solutions in our office. As of now, there are a lot of requirements RPA within our organization with many verticals who require their redundant tasks to get automated.
We train students to find their own problems on a day-to-day basis, then use Automation Anywhere (or an RPA solution) to solve these issues. We are using the latest version.
We use this solution to automate tasks for which multiple steps have to be done. We do it a very large number of times in a day.
We primarily deal with a SAP business model. We use Automation Anywhere for logging into websites, entering data, moving information around, and sending emails to end users. We are currently using a cloud deployment model.
We are working with our clients using this solution. Often, they are automating some of their retail and marketing processes, including the generation of bills and statements in finance. Our clients are using a hybrid cloud, with their own VM environment. One of the recent projects that I worked on was for a complex financial process in a bank. It involved automating several manual processes. The data had to be retrieved from SAP by means of a file and then imported into an Excel worksheet. My suggestion included implementing an SQL server and then automating the process using this solution. Instead of the series of manual tasks, they now only have to verify the final result, and it makes life much easier.
We use it for the mail merge process, specifically for renewals. Each month, it could be a tedious process to check all the documents and PDFs for each iteration. The creation of a bot for these task leads to better than expected results.
We have many use cases for this solution including invoice processing, email processing, Excel file manipulation, and text file manipulation.
We use the product for our automation use cases. We provide it to our customers to automate invoices with IQ Bot and other things.
We use Automation Anywhere for product SLAs on the finance team. We are also using it for a difficult automation project. We have automated a lot of processes, e.g., claim processing and payments. It is currently deployed on-premise.
We are running the Control Room and the Bot Runners. Currently, we have two processes in production, and another three are currently under development. Those in the development stage are running efficiently, but there are bugs here and there. Even for the processes that are in production, we have constant involvement, where we bring them back for more development and then return them to the production environment. Our primary use case has to do with automating payment tasks. We process about thirty-five hundred invoices per month, which is a substantial amount. At the moment, we process about fifteen hundred, and our goal with automation is to reach thirty-five hundred. At the moment, about twenty-five percent of the volume is covered by the RPS side of things. The rest of the work is done by hand, and our goal is to reach seventy-five percent by the end of this year.
From started working on Automation Anywhere platform, primarily worked on contact center and telecommunication sectors. Now exploring our RPA solution/expertise towards different different sectors such as insurance, medical, transport, education and so on.
We use this solution for application automation in both web-based and Windows applications. Our automation is specific to the insurance and hospitality industries and has to do with automating email, PDFs, and updating them inside our ERP application.
From all the client data that we obtain, we have to provide reports and analysis along with field reporting. This is what we try to automate.
We are primarily using this solution for banking, healthcare, and Agile processes. We implement automation solutions for our clients.
I use automation for finance. For example, SAP, Oracle, and other applications. In the past nine months, I have automated approximately thirty-five hundred hours. Next year we expect to reach at least eighty-five hundred hours.
We use this solution primarily for financial use cases. We have a bot that monitors quotes and budgets for products that are in their lifecycle or have expired. All of the concerns for finance are automated.
We're using it across a number of departments. So far we have implementations for finance and cost-control, as well as operational and logistics uses. Our deployment is a hybrid solution. We have an on-premise component and some portions are in Azure.
We use it for back-office administrative business processes, within order-to-cash. We have an end-to-end process automation that supports customer billings. We also have task-based automations that process either customer credit memos, or credit and re-bills, working within SAP. We started with the solution on-prem and we have shifted to an AWS cloud environment.
Automation Anywhere is removing the boring, repetitive tasks from the workforce. I've worked on different models over different frameworks. I do the coding as well as the deployment side. I prepare documents and the user ID. Sometimes, if the user ID is not prepared, then I jump into the process to get it done. With the technical feasibility of the document, I take the technical feasibility and do an estimation to code the bot. I configure the bot, then code it according to the entity and get it reviewed from the client. Then, I run the bot through the Hapi port, as well as different scenarios which might come up. Once the client is happy, we have a couple of rounds of testing. We have a "You Ready" phase where we code for a few days and the client provides data. We run through the data and this give them the technical results. When they're happy, then we finally move the code over.
The tool is used to automate any business process. Some examples are: * If you want to download some data from a website or push some data onto a website. * If you work with an Excel application and want to automate it, or any Windows-based application, you can automate it as long as you know what the business process is. * If a person is doing a day-to-day activity and you want to automate that activity, you can use the Automation Anywhere tool to do it. I have worked with the Windows, Excel, and web applications, along with some SAP automation and how to automate that SAP data. I use Automation Anywhere to determine automation for how to: * Distribute the process. * Schedule the process. * Run the process. * Design the process. * Distribute the data for 1000 to 10,000 data points (in Excel).
The primary use case is for ticket creation. They send in an email, then based on the priority, it creates a different ticket in Jira as well as the ticketing tool. In the end, they must consolidate all the tickets, whatever it has created, and sends that information in an Excel sheet to the stakeholders. This was for an internal PoC.
Most of our automation happens on Automation Anywhere. While the automation is being done, we use it as a platform. Then, depending on the number of users/ bots needed, we apply for the corresponding licenses. The good thing about Automation Anywhere is that any process: 1. Which is repetitive, rule-based, and only requires you to do collect/ edit information on the application frontend can be automated. Therefore, Automation Anywhere makes for a good use case. 2.Wherever the process is deterministic, with no decisions to be made, you can use it. It can automate any processes where 3. Process is well established, standard, or stable, and there are not many changes in the process. For example, a simple task, such as logging into a website, launching a website and doing systematic steps on the website, can easily be captured to Automation Anywhere. I see lot of applications, especially in finance and accounting domain. You might have a lot of steps where you need to either extract data, repeat data, or collect data. All of those processes can be automated through RPA, and especially Automation Anywhere. You can use even automation from the server side, not just websites. The only constraint is that the process should not require human intervention and decision making.
Our primary use for this solution is the building of a digital workforce by implementing Robotic Process Automation to improve our operational efficiency. It is also intended to create capacity for our staff to focus on client-servicing matters, which are areas that require decision-making processes.
We use this solution for automating business tasks in certain areas of the organization (so far). This involves creating bots to handle mundane tasks, so employees can be freed to work on other tasks that require higher thinking skills. We installed the product locally with the vendor's help.
We use it for backoffice processes. We are part of a shared service, so we do billing, credit, collections, and those types of processes.
Cost savings. Cost savings to the client and business transformation makes life easy.
People are now trying to automate many different kinds of technology. They have use cases related to ARP, invoicing, and three-way matching, for example. We are seeing an incremental need for legacy systems which do not have an architecture in place or API integrations. Our customers are doing things like simple website scraping, bringing the data into Excel, taking that data and then putting it into their legacy systems. We are seeing customers that read a lot of invoices. Our customers have been using Automation Anywhere for a lot of integration purposes. They've been using it not only for process integration but for application integration as well.
Our journey starts from discovering and understanding what process to automate. That's where our deep domain and process expertise come into the picture. We leverage process mining technologies over there, partnerships with Celonis and TimelinePI. We take advantage of that. The journey continues from there to designing and developing automations. Automation Anywhere is the RPA platform we use for creating the bots in automation and along with that we also use many of the technologies including AI and ML. Toward this life cycle, we have a very structured approach of governing, monitoring, and tracking. Insights we gain from this governance, we apply towards automation strategy and implementations. We've done this for many clients across the globe. We are happy to share those experiences with some of you as well.
We are an IT services firm. We use it for simple processes, but also for complex. We usually take up simple processes for manual tasks, which are easy to automate. We have mostly done financial services: finance and accounting processes. That has been for the most part. We have also used it in HR and recruitment to find resumes online, and in other processes.
Our primary use case for Automation Anywhere is to help our clients achieve efficiencies in their businesses and capture revenue opportunities that they would otherwise miss, either due to lack of ability or lack of speed. We have automated a different variety of processes, anything from inbound communications, from clients to our customer. Those inbound communications have to be processed and digested, then acted upon, some of which can be straight-through process automated, which is a fantastic time savings for them. The ones that can't be, can be routed to the right folks in a very quick manner, rather than being manually read and inspected, then categorized and passed on. We have also addressed financial processes around invoice reconciliation or accounts payable. There are processed around sales. If you think about how people use Salesforce and spreadsheets and other systems around Salesforce. There is a lot of copying and pasting of data in and out of Salesforce, then into those other systems. We can make all that go away, so their sales reps can focus on selling. So, there are a lot of great use cases like that.
The primary use case for bringing in Automation Anywhere was to make sure that we take away the work which our resources don't want to do, they don't like to do, or they find that there is something more meaningful and useful they can use their time for. That was our primary factor.
The primary use case is hard to say. We have used it in a number of different areas in our company. We've used it for HR, IT, and our business partners on the front lines using the application. Therefore, our primary use case is hard to say, but basically what we try to do is automate the drudgery out of our business partners' lives. We have automated some of our HR applications, where there are certain courses. Because we're in a financial industry, we have to maintain certain certifications, etc. Some of that is automated where we help generate reports back to HR. In some cases, there are some very front-end, which are CSRs. We have processes automated for them so they have a less manual work effort. We have worked with our compliance area. Some of the things that we have automated there, because we are a financial industry, are political contributions where we have to be very careful. There are a pay-to-play laws in the US, so we've actually automated, which were very difficult because you had to go to all 50 states to download all the information. Trying to do it manually was probably over 8000 hours a year, and now, we're doing it with automation.
Our primary use case is anything that is structured data and highly repetitive. We also see a lot of gain right now in paperwork, so AR, AP, and record to report. The cognitive product seems to be doing a really good job, and the pace of that going fantastic. We have done a little bit of everything: * Oracle * Salesforce.com * Using Citrix, we did an order to cash. * In the IQ Bot world, we seem to be doing a lot of AR and invoice-to-pay (those are the two that we see the most). We will be moving into medical billing next. Since we have done some really good prototypes with medical records, I think we are ready to go there next.
We are a biotech company. We make medicines to cure cancers. We use Automation Anywhere for intelligence automation or robotic process automation. So, we use it finance, accounting, and supply chain. We are actual using it across multiple functions in the company. We have automated a number of processes in accounting and finance: month-end close, eliminating profits, reconciliation, some in HR, some in operations, inventory to sell, and various other finance and account processes.
One of the biggest challenge that everybody has, and all the customers are thinking, my process has no structure or doesn't follow a pattern. That is the biggest challenge that everybody thinks. Even though our human minds are very powerful, there is a logic behind it. We try to go to customers, and say, "There is a logic always, so how do we apply the logic? The Automation Anywhere product enables us to do that. What you are doing in a repetitive task, or even some of the aspects of cognitive processing, combine both of those things together and build solutions. We build solutions for the oil and natural gas industry, HR, finance, and a lot of industries that can actually help customers on their journey as well. What we have automated is taking on the automating process and making sure the automation process is touching all the components in a sequential fashion, then somebody is offboarding it. How do you make sure all the systems access either taking out or restricting it in a way that is one automation? We can only do that with Automation Anywhere because it has helped enable us to do that faster. There are a couple of other examples, e.g., loan processing system, where there are multiple documents coming in multiple formats. Structure on structure, and often, there are a lot of back office operations where this is happens and you are actually consuming the data, feeding it to your loan processing systems, or any other systems that you use. What we have used with Automation Anywhere is take those desperate applications which are coming in with the various forms of data with the intent that they are built-in with IQ Bot of Automation Anywhere, then combine them with the tasks that MetaBots from Automation Anywhere provides, and we were able to automate the process. So, how can we cut shorter on the areas of arrangement, decision-making, and error reduction? We were able to do that in one of the loan processing system applications.
We mainly use the bot to make our operation more efficient, save the effort of human beings, and reduce the overall cost to the organization.
Our use case is mainly finance related. We've used Automation Anywhere to automate a couple of applications with respect to statement analysis and daily manual processes. We check if the process is automate-able, meaning there is no human interaction needed, no judgments to be made, etc. If the process is a candidate, we then move forward and start automating. We also look into the systems involved, because some systems have restrictions with respect to automation.
We have many solutions, like Data Rebate, for example. We need to compare this information, regardless of the information that we save in the Experian databases, against information in government websites, in order to ensure that everything is up to date. The information of the company address, for example, took around 47 minutes to compare, while using RPA it now takes around 10 minutes for each one.
We are usually asked by clients to introduce the topic of RPA and bring it to life for them. We explore what the value proposition of adopting a new technology is for them. We typically enter the discussion with an agnostic view of tools, help them understand what the differences are between tools and capabilities, and then synthesize a business case for adoption of those tools.
Our primary use cases are mainly around finance and accounting, so invoice processing, AP processing, those sorts of use cases. It's a quite wide use case but that's where we focus.
We have several back office use cases right now that we are working on. Some of them are workforce management, IT provisioning, and deprovisioning.
We try to automate processes within the operations department of our company.
My primary use case with my current customer is automating various business processes used by a large financial institution.
We use it for automating manual processes that are done by people now, data-entry type tasks.
We use it for financial back-office functions, things like fee information, balance information, and account aggregation information.
Primary use case would be order-scheduling for us. What we do is we take internal orders and we schedule them with our customers. There is a lot of data that we're managing both in our systems and in our customers' systems.
We have a lot of use cases, mostly for repetitive processes. We have automated processes for loans, moving money across accounts, and transferring money between our institution to another.
As a partner, we can use RPA in many sectors including financial services and banks, technology and software, in communications, government, hospitality, and human resources. I have recently done two projects with Automation Anywhere, one for a large car manufacturer and the other for a bank. For the car manufacturer, we used it to copy and paste data from Excel sheets, with user entries according to customer. This process helped secure the digital workplace with verification and to integrate legacy systems with new applications. There was also a daily report on this automation. In the other project, we took data from a CSV file and validated it according to business rules and we then copied from the CSV and pasted it into another application. There, again, it was with specific customer data. We were able to implement data migration between banking applications and customer account management applications.
We use it enterprise-wide for HR, IT, and in the front-end of our transfer agency. The bot helps organizes certain HR classes, letting the organization know when classes have not been completed. We have uploaded certain fund model data to third-party portals. We can set up new accounts in less than a week, where it use to take months.
In our company, if you look at the SAP security area, there are a lot of user requests. There's a confusion around the rules. With Automation Anywhere, we can increase the automation capabilities and automate all the user-provisioning in that area.
The primary intention is to automate business processes where manual work is heavily involved, wherever it is feasible. That is our core objective. We want to free up our time and concentrate on what is very important for the business by moving processes to automation. We have automated pretty much everything: premium registration, claims processing, underwriting. We have touched upon many processes.
We have automated transaction processing, especially accounts payable, as well as document handling on the HR side, document-reading capabilities, and the downloading of reports from websites and sharing them with users. Transaction processing is our primary use case.
We mainly use it for development of finance operations, and it's been performing fairly well for the most part. We have 40 automations going right now and they run daily on the Bot Runner. We've automated journal entries, bank reconciliations, different claims-accounting - a lot of finance processes. For example, we created a system where accountants can drop in journal entries and the journal entries will be read and posted to our system.
As a partner, we've been serving a lot of customers with primary use cases in BFSI, healthcare, and oil and gas. We have automated some 30 or 40 processes including ERP, Financials, manual data scraping from various websites, offloading data from Excel into an application, etc. We've done quite a few.
It is our RPA platform. It is the main platform that we use for backups.
The primary use case is to automate any type of process, mostly for payments, wealth management, and loans. The bots replicate human behavior in front of a computer.
I'm using it for logistics with respect to Fintech, where we are dealing with the brokers.
We're an insurance company and we use it to automate what would normally be done person-to-person by hand. We're gluing together the applications, going from one to the other to collect information to process them.
We use it for every aspect of our company: Financials, purchasing, HR, etc.
There are multiple use cases. Primarily, we are looking at finance and accounting. So, we have been deploying bots, specifically in the area of account payable and cash applications.
The primary use case is automate processes which had delays or inconsistencies. We are focusing on automating back office tasks, such as financial process with financial documents and HR processes.
The primary use case is to automate business processes for a manufacturing company.
The primary use case is process automation. We have automated our reconciliation process. So far, it has performed okay.
We primarily use it for finance and marketing applications in our company, since we do a lot of our back office tasks at our company. We have automated in marketing, finance, our commercial organization, and are moving into HR. The tool performs very well.
We use it to automate IT processes.
The primary use case is from a compliance and regulatory standpoint.
The primary use case is for optimizing processes.
Our primary use case is the insurance of clients.
We use it for finance, and it performs very well. We have automated every finance-based operation, from collections to invoice processing. We have also worked to implement the solution with customer service, operations, and IT.
The primary use case is to save hours for all the manual stuff which is going on.
I have implemented it for multiple use cases. One of the use cases that it was implemented for is filling out timesheets from the managers. There are certain managers who have to allocate hours to multiple employees, around 40 to 45 employees. Each month, they decided how much time that they will allocate to each of resource. Using a robot, they can automatically fill in the timesheet on Zoho, which is the timesheet system that the company uses. Another use case was that we used to have certain lists of vendors who billed every month. They had a specific format to their invoices. Using bots to read through those invoices, we were able to pick up relevant data and enter it into the finance systems.
About a year and a half ago, we started making a business case for the software. We now have 15 bots running.
We have been creating a lot of bots for the finance department. At this time, we are trying to use the TaskBots and MetaBots, not IQ Bots. As of now, we have automated processes from the finance, accounting, treasury, and tax departments.
We have several use cases for Automation Anywhere: * Grab data from one site to another. * We run all cache processes through it. * We can get more information using IQ Bots.
We use it for our refund department. We use it to initialize payments and everything else that is a repetitive process.
We are using it to automate tasks. We have one bot in production. It performs okay.
Today, we use Automation Anywhere to build out the capacity within our organization. We use it to help us figure out opportunities, then remove some of the busy/transactional work, which employees don't want to be doing.
I have worked for two companies in the past who have used Automation Anywhere. Both primary use cases have fallen under finance and accounting, with a lot of finance and accounting based functions primarily for data processing: * Extracting data from different systems. * Aggregating data. * Doing analysis on data. * Porting data into other systems. * Doing accounting based functions, such as reconciliations and transaction uploads.
As part of our retail banking group, we are using Automation Anywhere for various processes within it. In addition, we are using it for our risk and compliance teams for money laundering investigations and fraud investigations. We are using it primarily to remove out the human element of various processes.
We have four core business areas: Energy, financial services, healthcare, and our internal corporate. We're spread pretty evenly across the four areas. We have automated a lot of processes serving human resources, legal, life sciences, financial services, healthcare (on the payer and provider sides), and IT. We're all over the place. We're still in the rapid expansion phase. The last six months have really been an explosion, so we're trying to keep everything under wraps and control it.
We have automated some fund management and fund reconciliation processes, which has been done successfully. The tool has been performing well.
We have a lot of systems filled with documents and PDFs, such as finance, accounts payable, and operations.
The primary use case is for automating our mortgage and loan origination processes.
The primary use case is for a number of different transaction-based systems that the company has.
Our primary use case is banking/financial. Processes we have automated include loans, ledgers, mortgage loans, and even some of the record management systems.
The primary use case is to free up people to do more cognitive tasks, taking those repetitive tasks and doing those for them.
We have developed apps for accounts payable (finance) to do three-way match.
My primary use case was for a project in Brazil, where we managed to download and extract all the invoices which were pending for my company and inputted them in our system. The tool works very well.
We have use cases in multiple groups: Supply chain, HR, and finance, which has three or four currently identified. We have already implemented a few use cases. E.g., we are automating the entire payment process for accounts receivable.
The primary use case is to automate processes internally for my company.
We use it to augment our staff and remove some of the manual processes in our business. Our team, consists of two college kids who are doing almost all the work, along with a couple of business people to help teach them what is going on. The ease of use has been pretty simple, or they would not have been able to catch onto it so quickly.
Our first use case was to program a bot which could do the work of approximate 30 people, taking around half a year to implement. We did that bot around a year ago. This bot was the best case scenario for Automation Anywhere, making it the perfect application for RPA in our corporation.
Right now, we have two business units which use it for automation, mostly for: * Back office * Shared services automation * Accounts payable * Accounts receivable * Most finance functions.
We have a variety of different use cases, specifically for marketing and finance. * Our first goal is to look at automating repetitive tasks. * Our second goal is to have Automation Anywhere scale from RPA into a more cognitive tool, providing higher value solutions to the business.
The primary use case is to automate complex processes without using a development team. We have had a lot of issues using Automation Anywhere and find ourselves stuck. We have an open ticket and are still working with them to resolve this.
The primary use cases are for card and HR automation.
We have soft and hard tasks that we have automated.
We want to automate our business processes.
I am using it with my work on our disaster recovery process. It has been performing well, so far.
We automate a lot of front office use cases.
The primary use case has been for automatic service transformation. We have automated back office and customer services.
We automate bots for our clients. We identify processes that our client need to automate. If we see that Automation Anywhere is the best platform for them, then we recommend it, and help them to implement some bots. I work with South American clients.
As a developer, I improve our company processes through automation. The company has been working with the solution for two years. In my area, we have approximately five bots running.
We have automated a lot of back-end processes. We started with easier tasks and are moving onto more complex tasks now.
Our primary use case is to improve cost savings or FTE usage through automation.
It is for my partner development. We primarily work in the insurance business. So, we do a lot of insurance back office operations. These are the types of processes that we have automated.
We are using Automation Anywhere to automation some of our menial processes. We have automated our pricing update and audit functions that we do as an operations team.
We are automating repetitive, manual processes that don't add value to people's work. Also, we want to improve our risk management through quality and efficiency.
It is primarily used for accounting apps. So far, it has been okay. It's for a small implementation. We have automated account reconciliations.
We wanted to have more automation around our customers' processes. We do claim insurance type processing. Therefore, we wanted a process for their first notice of loss and a lot of the government regulations that they have to handle.
Our primary use case is to automate manual tasks to free up space for more value-added tasks.
We are automating internal processes, mostly at the task level. We are going in and looking for manual work which can be reduced through the use of automation. Primarily, we have automated finance and cost control related expenses. We are still in the proof of concept and pilot stages.
We are using it to automate company processes all across our firm: finance, legal, compliance, and customer client account servicing.
Primary use case is automating data entry functions for accounting and general entry. That has been our primary use case. Since we've started, we have create about five bots (of which three work).
The primary use case is to automate our current exports and fraudulent transaction processing in the back office.
We have done a few use cases for the business, IT, and financials. The primary use case is for the business client.
We use it for multiple internal processes across multiple functions. We work with good people who have very defined goals and very defined approaches of how to execute and achieve their goals.
Our primary use case for it was financial back-end operations. We dabble in Automation Anywhere. We don't use it.
Accounts payable is our primary focuses for automation, and we are looking forward to this report. Thanks.
Generally, it is used in the banking and financial domains for Oracle and Java-based systems. We also use Automation Anywhere for integration where a third-party tool has to be triggered.
Our company is an implementation partner for Automation Anywhere, and XLNC Technologies is a consulting organization for whom I work. I am the head of delivery operations. We are working with around 14 clients who are on Automation Anywhere. We have been able to recommend and further resell starter and enterprise packs. Implementations performed by us scale up from one bot to 10 bot runners My primary use case for Automation Anywhere would be the one which yields higher ROI , has repetitive tasks to be performed and doesnt involve fuzzy logic for sure . Cases that we have achieved success are extraction of data from PDF's , SAP automation, AD Integration, Integration with CRM and Payment links, KYC documents and web scrapping. Listed are low hanging fruits and will boost confidence of the stakeholders in the RPA deployment , recommend to look at such use cases when looking at Automation Anywhere and its implementation.
This solution was originally introduced to help operations reduce manual tasks. After seeing positive results, we have now implemented this RPA solution in IT.
I deployed this solution mostly in the finance and accounting space. We had two primary use cases. One was automating the procured invoice to pay process and the other was automating the order to cash cycle, OTC process.
My primary use cases are where I'm dealing with a lot of raw data extraction and transformation so that the data can be used by other systems. An example would be getting the data out of PDF files, transforming it from semi-structured to structured and putting it into an extra-stable system like Excel or a CSV so that it can be used by other systems.
Most of our use cases are for primary supply chain management. We have a lot of business processes and back office automation that we do primarily for our product people and our finance team. Most of the work is automation done in supply chain management, product setup, and product administration. I have been using this solution for almost four years and one year at my current company.
We use it to automate all kinds of business processes. The primary use case is the RPA platform, even though they have the cognitive platform and the analytics platform. We use it for so many different things it's hard to focus on one, but it's automating business processes in our banking system. We're interfacing a lot with Excel, our ERP systems, some legacy systems, the databases, file folders, text files, CSVs. It's hard to pin down one.
We have so many use cases. One of them is in finance and accounts. We have customer billing portals where there are invoices and purchase orders. The bot goes through these and gives a roll-up of the billing numbers. It goes through each customer portal. One example of a customer is IBM. It goes to the IBM portal, it logs in with bot credentials to SAP Ariba, opens an invoice and matches the purchase order items with that invoice, line by line. It then posts that invoice for billing purposes in that customer billing portal.
The primary use case is within anti-money-laundering: To take alerted cases and gather artifacts on multiple websites or applications, and then to consolidate those into a single file, in this case in OneNote, and provide that to the investigation team. Primarily, this was all being outsourced because it's a lot of very tedious researching and collecting of the artifacts and consolidating them. Once that consolidation is done, those artifacts can be handed off in a structured format to another team which actually looks at the alerted information, at the details, to see whether it justifies the alert. They can make a decision based on the artifacts at that point. In addition, with the solution going out there and being visible, we've had interest from the insurance side that wants to jump in. They've got several use cases that they would like to do. The capital markets group has use cases they would like to get involved, and the bank itself has use cases that it is just beginning now. It has ramped up a team already and they're going to start wanting to jump in too. Even groups like DevOps and some other groups that are more cost centers are wanting to jump in. Anything they can do to lower their costs helps out the bottom-line dollar for the whole company. Looking at a company like ours, with so many different departments and processes and policies, and so many manual tasks, the use cases that we can have for both attended and unattended bots are pretty much countless.
We use it for robotic process automation.
We have used Automation Anywhere to develop different software bots. We currently use version 10.7 for Windows 10 and we are in process of migrating our version to 11.2. We have automated important processes like creation of purchase orders from attributes that are in a Sharepoint form, and upload of exchange rates in our ERP system from data that is available in websites (central banks). We look at automating processes that are manual, repetitive, and rules based.
We are a service department which handles toys and games. Currently, we are at the phase of selecting a representative from HR, Administrative, Accounting, and IT to develop our day-to-day operations. We have not implemented the solution yet. We have done the RPA for the tasks. We have developed it, but haven’t reached the stage of implementation yet. The PoC is done, and now, we are in the development.
Right now, we have about 15 to 18 use cases, from finance to project management assistance and business operations.
It’s mainly for back office tasks, such as accounting and supply chain management (SCM). Currently, we are implementing RPA for these back office tasks.
RPAs are often used in administrative processes, but we have applied it to our master data management for manufacturing. At manufacturing plants, there are not a lot of administrative processes. However, there are many tasks dealing with what we call our master data, so that’s where we have implemented RPA, to collect, search, as well as register the data.
Since we are an insurance company, there are many administrative tasks, such as, the enrollment agreement process, address change after enrollment, issuing of various certificates, making payments, etc. We wanted to automate these administrative or back office operations, so this is where we first started. After we verified that the products by Automation Anywhere can work with our organization, we decided to expand their use to the making of sales materials and business performance documents for our sales division, as well as administrative processes for our operations division. Other uses include compliance related matters and checking of anti-social forces. We are taking the initiative to automate all sorts of administrative tasks of the company with the help of robots and RPA. The solution has been implemented into 27 divisions.
Our primary use case is to automate all the back-end processes, which are accounts receivables, accounts payable, automatic settlement, and a lot of processes in the supply chains. Afterwards, we move onto the front-end transactions.