Robocorp Reviews

Robocorp is similar to any other tool. The difference is that it has a great opportunity to inbuilt Python within the product so that we'll have many doors open for AI or chatbot, and also, what is coming is still years. It would be great if Python is the background for Robocorp. That's what my personal understanding is after seeing the product.

In terms of licenses, there is a return on investment in that area. Other products are charged based on the licenses. However, Robocorp is not doing it that way. They are charging based on a run basis. Therefore, in that way, the company might benefit in terms of license costs and the return on investment, considering what they are putting in and what they are getting out of it.

We are a full-stack company that utilizes Robocorp for our own projects and to deliver solutions to our clients.

However, my job role is less technical and more about business acquisition.

The deployment process is an area for improvement. It would be great if they could make it a bit easier in the next update.

We use the product for automating various processes, including order processing, data extraction, and other tasks.

Adapting to Robocorp is initially challenging, especially compared to drag-and-drop automation tools like Automation Anywhere and UiPath. Writing actual code in Visual Studio Code gives freedom but also requires a learning curve. If you don't have experience with programming languages like Python, it would take six to twelve months to learn. However, once proficient, it enables faster development cycles and the ability to achieve more than traditional tools allow.

We use Robocorp to automate processes for an insurance company client. They upload some Excel and CSV files to our shared folder, which we process and upload to their portal. 

We also use it to interface with our banking portal. We need to download all the line items from the insurance claims, such as patient IDs and information. We grab all the details and put them in an Excel spreadsheet. After that, we need to validate everything and push the information out to the appropriate people. The third use case is to automate deployment.

Robocorp is based on Python, so you can use Python scripts and create libraries for your use cases. Building libraries and custom scripts for a particular client and general use cases is easy. We can reuse those scripts for other clients, so we start seeing benefits quickly. 

Our clients have a lot of technical staff members who are proficient in Python. Once the solution is in production, we can hand it over to them and educate their staff to support it on their end. 

Our company is using the solution for test automations such as making a software that indicates a payment, data entry, and invoice or document processing. 

We have completed a partial automation with the solution and are thinking about implementing it. 

The solution is based on Python which makes it very valuable. It is easy to implement AI and data science with Python in comparison to CC-RX.

I use Robocorp for RPA development and maintenance. 

Robocorp has saved us lots of money and help us build our business using automation. 

I use Robocorp to automate payroll processes for one of my RPA projects. I am using Robocorp's attended automation features because the project involves sensitive data. 

As a developer, I found it easy to integrate third-party applications with Robocorp. I have previous experience with Selenium, and I found the Robocorp framework to be accessible because it uses Python and Selenium keywords.

We use this platform to build automation for the client. The automation is Python based. The projects always involve some sort of extraction, transformation, and loading of data while interacting with multiple web/desktop applications. 

Our entire RPA vertical is dependent on this platform. We have been able to build automation that runs for more than a day. There are no complicated licensing models which meant fewer discussions with each client. All they have to do is pay per the duration of the automation. It has support for pipeline creation from version control systems for deploying the code onto the platform which makes it easier for us to monitor any code changes. It also makes it easier to divide tasks across developers, thereby increasing the efficiency of the deliverables.