I used it in 2018 in a company that specialized in medical services. They used it for accounting and payments.

We used IBM RPA with the AS/400 IBM product. We have done a few terminal-based solutions for banking. We used it with their FileNet product for some workflow automation. We have done data entering with FileNet.

It's on-premises, but I've also used the cloud version. We have only deployed three projects with WDG. The first one is purely on-premises and the other two work with the cloud version. The on-premises one is within the internal infrastructure on top of VMware, and the cloud provider for the cloud version is IBM.

I started with version 21, and I'm currently working on version 23.

We use it mainly in more corporate situations where we need to establish on-premise or more complex and complicated processes that are horizontal on the device, like onboarding processes or procure to pay, where we have to combine different departments on the same trust.

The primary use case is the development of facilities using artificial intelligence, specifically Robotic Process Automation (RPA) to perform tasks across business systems and applications in much the same way as human workers do. 

IBM Robotic Process Automation is an RPA tool that is used to automate any repeated simple/complex tasks with ease. IBM Robotic Process Automation is one of the simplest RPA tools, having a simple user interface, and it is very easy to get hands-on with this platform. 

It has vast learning resources available, too. Use cases include extracting data from scanned PDFs. Using IBM Robotic Process Automation made it much simpler to scrape data from scanned PDFs and convert it into standard Excel format, as per requirements. We also use it for portal automation. AA makes web automation simple and our manual tasks have now been automated. Our portal is for making client bookings of the client. The bot reads the Excel file shared by the user and accordingly, makes the booking in the portal with minimum time and with high accuracy.

We use it for communication in a call center connected to banks. We work with remote applications.

We are using IBM Robotic Process Automation (RPA) for virtual business automation.

Our primary use cases for the IBM Robotic Process Automation solution are regression testing, monitoring, and cover cancellation.

One of the things that we're doing is trying to automate a lot of processes that, today, happen in a very manual way with paper. We're trying to take advantage of our human resources and apply them in better places, in more value-added activities that truly contribute to the customer experience. 

We are trying to automate a lot of the decision-making that we have, and a lot of the old-school processes that take many, many clicks and that robots can do a lot faster and better than humans can.

So far so good. The results that we've seen have been pretty positive. We are aiming, by the end of the year, to record about $10,000,000 in savings just by automating the processes that we have identified so far.

We're working with different clients from the manufacturing environment. We have implemented end-to-end solutions. We work on web automation and automation of invoices.

We are a solution provider and we have been working on selling the IBM RPA product during 2020. We are primarily dealing with the on-premises version because our clients are not willing to use the cloud because of issues with their data. We have a lot of banks as clients, and it is a problem for them to use cloud versions.

One of our primary use cases is creating chatbots for clients, such as financial institutions.

Other things that we can automate are tasks like dealing with incoming credit processes, and administrative processes such as invoicing. These are the processes that take a lot of time.

We have not generated any sales yet, but we have experience with the product and are working on selling it.

It's used at a high level by about 100 users. A few of them are customer agents and a few of them are in the operations team. Currently, the product is deployed on a container-based platform, called Cloud Pak. We have created containers for our solutions for Automation on the OpenShift cluster.

I use the solution to extract data from PDFs and upload it into Microsoft Excel.

In my experience, we've done IBM RPA implementations for payment processes and intercompany processes for our customers. Basically, the process is as follows: it interacts with the banking website and collects the necessary data for validation and approval in SAP.

We use robotic process automation for automating financial services processes, so back office processes for accounts receivable, accounts payable, etc. We are at the PoC stage at this point. 

The performance has been good. We are still in the early stages. One of the challenges that we have solved is helping to replace individuals with robots or bots, so we can free up capacity. We have not had any attrition; we have simply taken on more work. Therefore, it has been helpful. 

There are a lot of legacy applications which are not modernized in terms of exposing APIs or services. Those are the places we are using Robotic Automation a lot.

We have a client with a line of bars in the service/hospitality industry who wanted to have a system which takes a reservation for restaurants. They wanted to use IBM Robotic Process Automation software for this on the back-end. E.g., if a user wants to make a reservation, they can select a restaurant make if a table is available and at what time. On the back-end, IBM Robotic Process Automation will log all that data and create the reservation for the client.

For growth industries, the automation of call centers, service to the customer, these are the principal use cases.

We use IBM RPA to perform customer credit risk analogies. It analyzes all the information coming from the customer.

We have implemented this solution for our pattern rule-based high-volume finance and IT department. 

We use it for our customers who are looking to leverage automation or artificial intelligence. We mostly use the solution where there are a lot of people in backend operations, like BPOs. We try to leverage automation by moving work, shifting left.

We use RPA to test mainframe solutions because they never change.