UiPath for SAP on AWS

UiPath Platform is used to automate repetitive business processes that require a lot of manual effort. The main uses include tasks involving applications, Excel, data processing, and report generation. These processes typically involve two to three humans and a lot of manual effort. By automating these processes, manual effort and human errors are reduced. The biggest benefit is that the automation can run consistently without requiring someone to perform the same steps every time.

One specific process that was automated with UiPath Platform involves a payment proposal at Sasref, which uses the SAP ERP system. This includes logging into ERP, downloading dumps from two to three transaction codes, reconciling it with the SAP system, and blocking for payments. Everything was automated by UiPath Studio and integrated with the SAP system. Manually, a finance analyst would require around two to three days to complete this task, but after implementing it in UiPath Platform, it was reduced to around two hours. Thus, two to three days of work was reduced to two to three hours, achieving the biggest ROI in terms of manual effort reduction.

UiPath Studio, Orchestrator, drag-and-drop development, low-code and no-code features have been used, along with various automatable web or desktop applications, including Document Understanding capabilities. Each feature has benefited the automation process by enabling the building of better automatable processes.

UiPath Platform has positively impacted the organization. It has provided benefits both internally and in client organizations where it has been deployed. The platform has given better return on investment by reducing manual effort and human errors. Processes that previously required people to repeatedly perform the same steps are now automatable, which reduces human errors and leads to significant return on investment.

The most valuable feature of UiPath Platform is UiPath Studio, as it makes it relatively easy to design and maintain automations. The drag-and-drop approach allows workflows to be built quickly while providing enough flexibility for developers to build more complex scenarios.

UiPath Studio is built in a way that makes day-to-day work easier and more efficient because it is easy for even a layman or a business analyst to understand. Concepts can be grasped quickly with a tour, and individuals can interact with UiPath Studio to build simple to moderate workflows or automations, which is a game-changing aspect. The drag-and-drop feature helps developers focus more on solving complex scenarios.

One area where UiPath Platform can be improved is the licensing and pricing model, which can be quite difficult to understand, especially regarding which licenses and capabilities are required as the automation environment grows. The UiPath team has been continuously improving their product offerings and documentation.

With respect to needed improvements, UiPath Platform has released good products like Maestro, Document Understanding, AIXP, and Agents, which are much needed in the automation platform. Now that artificial intelligence is booming, such capabilities in automation are required to reduce the human in the loop and place Agents where they can make decisions the way humans would.

UiPath Platform has been used for around two years in the current role.

UiPath Platform is stable. It is also scalable and handles a significant number of requests efficiently.

The scalability of UiPath Platform is impressive and it handles an increasing number of documents well without issues.

Customer support is good, and customers are generally satisfied. As long as they see a return on investment, they remain happy.

UiPath Platform has been used from the very beginning. There are competitors like Blue Prism and Automation Anywhere, but UiPath Platform has an edge due to its offerings, although the costing model is quite high in comparison.

A strong return on investment has been seen with UiPath Platform. Developing one specific process can yield a four to five times return on investment. If 10 lakhs is invested in that process, it can save costs equivalent to three to four human salaries, allowing the workforce to be allocated where human intelligence is more needed. About 90 percent return on investment is achieved from traditional automations. Regarding time, on payment proposal creation alone, around 1,000 hours per month are saved. With 62 deployed bots, approximately 600,000 hours are saved monthly, illustrating UiPath Platform's impact.

The pricing, setup costs, and licensing for UiPath Platform are quite high, making it challenging for many organizations to afford. The enterprise costs are particularly steep, and adding agentic artificial intelligence capabilities incurs additional token and artificial intelligence credit costs. The overall pricing and licensing model is a concern.

Other options were not evaluated. Every feature that UiPath Platform provides, including ease of development and broader automation capabilities for desktop and web applications, makes it preferable. The sophisticated modules and packages enable interaction with enterprise resource planning systems, optical character recognition, artificial intelligence, orchestration, testing, and human in the loop. Since all these features are available, it is natural to choose UiPath Platform.

One specific example of measurable metrics is the payment proposal automation in the finance department. Creating payment proposals in SAP used to require two to three days, but now it has been reduced to two to three hours, significantly cutting down the time taken to complete the workflow. Additionally, users can focus more on other tasks requiring human knowledge or intervention.

Regarding UiPath Platform's artificial intelligence capabilities, strong governance and security are maintained. Encrypted algorithms are provided for storing highly sensitive information in entities, showing that governance is on par with industry standards.

In terms of UiPath Platform's artificial intelligence capabilities, accuracy and reliability mainly depend on the artificial intelligence model used, especially for document understanding with machine learning technology. Confidence scores are provided for classification, optical character recognition, and extraction. If the confidence score is low, a human validates uncertain results, ensuring business rule validation is also performed. UiPath Platform's artificial intelligence capabilities are accurate for most use cases that have been applied, with models configured and trained with representative data. The accuracy percentage varies by use case and data quality. Confidence scores and human validation are appreciated as they are implemented if the scores fall below a certain threshold.

The solution has reduced human error and freed up employee time. This has positively affected the business by implementing purchase order extraction for purchase order and non-purchase order processes. Invoices are obtained from SAP, documents are classified, fields are extracted, and validations are performed based on confidence scores. Not every document will go through an end-to-end cycle, and approximately 50 percent of invoices will complete the cycle while some exceptions will need human intervention for decisions and reprocessing.

UiPath Academy courses have been used. The biggest benefits include timely updates on new features and thorough documentation that can be easily understood by RPA developers. The quizzes in the vendor academy assess understanding of features, allowing individuals to gain confidence in their hands-on experience.

UiPath Platform's user community provides significant value with a strong user and developer network of over 3 million users across multiple countries. A recent DevCon was attended where many representatives from various companies came together. The UiPath Forum allows technical questions to be answered by anyone with expertise, facilitating peer-to-peer solutions and product feedback. There are also rewarding sections where users can solve use cases and get rewarded, which is an excellent motivation.

Agentic automation has been used at a proof of concept level, where an agent was integrated and built and then incorporated into UiPath Maestro, integrating it with Google Drive for two-way matching. The reliability and potential decision-making capabilities of agents are noteworthy; they can make both correct and incorrect decisions. However, they effectively reduce human intervention and lead to better results in a shorter timeframe.

A few proofs of concept have been worked on building agents, such as an employee internet reimbursement agent. Each company has its internet reimbursement policies that differ between employees based on their rank. Instead of emailing the reimbursement manager, an agent can be triggered by uploading an invoice, check employee details and band, and determine eligibility for reimbursement according to company policy. This dynamic decision-making reduces human requirements significantly.

By leveraging artificial intelligence agents, significant flexibility has been found in accessing enterprise systems and data. It is important to control the agent's access and define the actions it can perform. Agents can interact with multiple tools and connectors without opening specific pages, directly calling sub-agents for decisions. This flexibility significantly reduces the need for human intervention.

For those considering using UiPath Platform, it is essential to understand why they want to utilize it. Given its enormous features and market plugins, if many features are planned to be used, it is an excellent choice that offers the best return on investment compared to other platforms. The pricing and licensing model can be high, so strategy should be developed on how to use UiPath Platform effectively to maximize return on investment.

UiPath Platform partnership status has been established. Certifications are provided through which applications can be made, exams can be taken, and certification can be obtained.

This review has been given an overall rating of 9 out of 10.

My main use case for UiPath Platform is for diagnosis to identify delays or problems. It helps companies manufacture computers. UiPath reads invoices, extracts required information, enters it into the company's system, checks the information, and sends emails automatically.

In my organization, what I find very useful is that UiPath reads documents, extracts customer and policy information, enters the data into the insurance system, checks whether required documents are available, and sends notifications automatically. This saves time, reduces cost, improves customer service, and helps focus on important work.

In my opinion, the best features UiPath Platform offers are automation, document understanding, AI plus automation, system interaction, monitoring and reporting, human plus robot work, cloud platform, and security.

I find system interaction the most valuable feature in my day-to-day work because it connects with different components, such as Excel, CRM system, emails, and websites.

I do not have specific suggestions on how UiPath Platform can be improved.

I have been working in my current field for four months.

UiPath Platform is stable and reliable, and it has a good monitoring system.

UiPath Platform's scalability is rated at 99.9%.

The customer support from UiPath Platform is rated at 99.9%.

I previously used manual processing and basic scripting before switching to UiPath Platform for its advanced capabilities, better integration, strong governance and security, and easier scalability, also providing better scope for combining systems.

My experience with pricing, setup cost, and licensing reveals that the main challenge is the complexity of pricing options and selecting the right plan. Overall, the investment is justified by the time savings, efficiency, and scalability of automation.

I have used UiPath Academy to learn automation and improve UiPath skills.

I use coding agents to help build or troubleshoot automations using UiPath Platform.

I have seen a positive return on investment from UiPath Platform. For example, automation has reduced processing time by approximately 30 to 40%, saving around 50 to 60 employee hours per month.

My experience with pricing, setup cost, and licensing reveals that the main challenge is the complexity of pricing options and selecting the right plan. Overall, the investment is justified by the time savings, efficiency, and scalability of automation.

Before choosing UiPath Platform, I evaluated other options such as Automation Anywhere and Microsoft.

I would recommend starting with a few high-volume repetitive processes where automation can show clear time and cost savings, as well as robust security.

I am exploring agentic automation to overcome challenges and complex decision-making, reducing manual work, and making faster decisions by combining people, robots, and AI agents.

For the specific use cases where agentic automation is being used to address these challenges, in incoming insurance claim documents, the robot can extract and enter the data into the system, while employees can handle exceptions of complex cases. This will reduce manual work, speed up the claims process, and improve accuracy by keeping humans informed.

Agentic automation has helped improve process efficiency and reduce manual effort. For example, in document and claim processing, I have seen approximately 40% improvements.

The approach to coding agent integration in UiPath Platform stands out because it combines AI agents, robots, and humans.

Adopting UiPath Platform for coding agents has measurably increased development speed and automation coverage, with development time reduced by approximately 30 to 40%, while troubleshooting and revision time reduced to around 20 to 30%.

Overall, UiPath Platform is a strong and user-friendly automation platform. My overall review rating for UiPath Platform is 9.5 out of 10.

I recently worked on a project where I was automating a process from a finance department in an organization. The process involved use cases such as customer treatment analysis. The process would be triggered by an email that the business user would send, and it would generate a yearly report comprised of months. The calculation would be done for each month range that the business would provide in the email. For each one, the calculation would be done, and for each year as per the request, these reports would be calculated. At the very end, a summary would be generated.

The unique thing I learned here is that this was a complex use case. The use case involved calculations for each field such as opening balance, sales, collections, closing balance, and credit limit. This is where it is challenging to calculate each item separately and add it into the Excel file. So that reduced most of the complex logics, and it was helpful while automating the process.

I am using agentic automation. We are exploring and using agentic automation to complement traditional RPA by combining people, robots, and AI agents for more complex and decision-driven processes. The key challenges are handling unstructured data. The overall goal is to move beyond or explore beyond traditional rule-based RPA automation and enable more intelligent, adaptive, and decision-making solutions.

I have worked with a couple of use cases. Currently, I am exploring deep automation to address these challenges, particularly where traditional rule-based automation is required. This is with UiPath Platform. The UiPath Platform agent approach helps me reduce manual effort while making the automation more flexible and capable of handling different conditions in real-world processes.

The first thing I would mention is accuracy. With RPA, we usually develop the ports according to the rules that the developer has provided. Whenever the business, users, or customers need the report, it will be ready with accurate data.

The solution has already reduced a lot of errors through UiPath Platform significantly. It has reduced the time employees spend on repetitive and manual activities. This has improved productivity by allowing employees to focus more on activities that offer higher value or higher priority.

UiPath Platform has given a very high or very major impact in my organization. This has given a very faster process of day-to-day activities in the offices. This has significantly improved the way we perform tasks in the office.

In UiPath Platform, I would like to see them bring more things. Recently the agent ecosystem has started and it has far to go. I want UiPath Platform to transform it so we can get the work done either by communicating with the AI agent or by providing prompts.

Regarding the platform, what I think about the core security is that I would like to say the AI capability is strong. I believe that UiPath Platform has very strong governance capabilities since it is providing centralized management. Overall, I find UiPath Platform's governance capabilities are effective and reliable.

Improvements are needed for UiPath Platform in areas beyond what I have mentioned previously. UiPath Platform is very comprehensive, but there are areas where improvements are needed. More streamlined integration between the different developer and administrator experience should be provided.

I have been using UiPath Platform for the last three and a half years.

UiPath Platform is stable.

The scalability of UiPath Platform is really good. It allows us to scale formation to multiple boards. The platform supports scalable solutions for different varieties without needing any changes to the existing infrastructure. The scalability is such that the platform allows me to build scalable automation.

Customer support was quite good. Customer support has been very good from the support team while addressing technical issues. They provide guidance and troubleshooting and everything. The customer portal is really good with UiPath Platform.

We were using WinAutomation, which was an older automation tool around ten to eight years ago. The licenses are no longer available, and there is a support issue with the vendor permission. We wanted to switch to a new solution, so I decided to go with UiPath Platform. UiPath Platform features such as scalability, orchestration, and user experience have been quite helpful while performing the migrations.

I have seen high return on investment obtained in the organization. In projects, I have seen typically around thirty to forty percent reduction in terms of manual effort. For example, let us say that a process previously required around six to eight hours of manual effort per day. This is reducing it a lot. Roughly thirty to fifty hours of time for a single process are being saved, allowing the voice to focus on critical tasks. The main financial benefit is capacity rather than directly reducing costs. Overall, it has significantly reduced manual effort and improved productivity.

Regarding other platforms apart from UiPath Platform, there are options such as Automation Anywhere or Blue Prism. However, UiPath Platform is the global leader in terms of automation and provides a lot of services. UiPath Platform's applications in terms of enterprise orchestration and integrating applications, the scalability, and learning resources are quite good compared to other services. UiPath Platform is a global leader in terms of automation.

While adopting coding agents, it has significantly improved the development speed by reducing the time required for research or the time writing the course from the development side. Based on my observations, I have seen an estimated around twenty-five percent improvement in the overall product development involving the use of agentic automation and regular sessions and troubleshooting.

There is a very comprehensive licensing model which supports different automation requirements. The licensing is really good for all the use cases. The pricing is compared to service providers. The cost can be relatively high, but for organizations with multiple boards for the AI capability, the flexible license options and the ease of scaling use cases by using UiPath Platform are beneficial.

I am exploring agentic automation further. The primary user interaction is through the assisted coding tool, as well as directly by building the code by integrating tools such as LangChain or LangGraph. For example, a coding agent can analyze UiPath Platform workflows and issues and suggest improvements needed in the loader. It can also directly help me generate code which I can use in UiPath Platform and can provide me the VB dot NET code. By leveraging agentic automation, I have been able to improve efficiency and reduce manual human intervention and handle processes in a more effective way. In initial use cases, I have seen approximately eighty to thirty percent reduction in manual effort around automation and around ten to fifteen percent improvement in the signal from the overall process time. Agentic automation is powerful, and I can see a lot of potential coming in it. I rate this review an eight out of ten.

My main use case for UiPath Platform is for continuous integration and continuous delivery management.

In UiPath Platform for DevOps, we use it for pipeline automation. We have integrated UiPath Platform with Azure DevOps, since we are using Azure. We are also using GitHub Actions. We have automated our build, test, and deployment automation packages. We also do automation testing such as UI, API, and regression testing for our applications. Additionally, we have automated several operational tasks.

We have been using the platform for end-to-end business automations for some of the IT teams and some of the automation workflows. Most of the automations are broader in scope, helping us support DevOps and CloudOps in both the cloud and on-premise environments.

Basically, we are using this tool to create our application for different clients.

UiPath Platform has good documentation processes, machine learning models, and generative AI integrations, which are the best features I have seen in this particular tool. There is a dedicated testing suite available. Cloud-native architecture and flexible deployment options are key advantages. One of the most important advantages is that it integrates with Azure DevOps, Jenkins, and GitHub Actions, which most of the team uses for Bitbucket and CI/CD pipelines. These are some of the most important features being used by DevOps engineers.

After using UiPath Platform, one of the most significant achievements is that our manual effort has been reduced. We now have faster processing time; instead of taking hours, tasks can be completed in minutes. We have also received better compliance and detailed audit logs. Regression testing effort has been reduced compared to before. Early detection in the CI/CD pipeline, which was not previously available, is now very easy. Software quality has improved significantly, and the release pipeline has been greatly improved. For example, if a task previously took fifteen minutes per document, it has now been reduced to four or five minutes. UiPath Platform has helped my team make fewer mistakes and save time on repetitive tasks. Our efficiency has increased considerably. Our output has increased from what it was previously, allowing us to utilize more time on different initiatives. Resources that were previously required in greater numbers are now needed in smaller quantities. Time that was previously spent in greater amounts is now spent in lesser amounts. Therefore, there have been significant improvements for the application and resources after using this tool.

There are a few limitations that I have seen so far. The licensing has high costs for some of the maintenance. Some advanced features need to be added. The infrastructure is more complex in nature at this time, though it can be reduced later. There are a few performance limitations, but overall the platform is performing well.

I have been using UiPath Platform for three plus years now.

UiPath Platform has worked very well because we have been consistently increasing usage and scaling it in a vast way.

As of now, we are not reaching out to anyone for customer support. We are just using open-source information available over the internet and then working with the same.

I have not previously used a different solution before UiPath Platform.

I did not evaluate other options because once I joined this organization, I have been using this tool directly.

I have been using many features and automations using UiPath Platform. For example, I am even using UiPath Test Cloud. There are many features which I have been integrating with my applications, and our team is using them. UiPath Platform is one of the best tools in the market for our use case.

Regarding UiPath Platform's AI capabilities, it has good features such as role-based access control (RBAC), single sign-on (SSO), and Azure AD integrations. This tool is compatible with most applications and features such as CyberArk, HashiCorp, and Azure Key Vault. These are the latest technologies being used by most major companies for governance features and security.

UiPath Platform has very good accuracy, with high accuracy when compared with other UI elements. There are regression testing through automation, SAP testing, web application testing, desktop testing, UI testing, API testing, and end-to-end UI testing. These are very accurate, with accuracy rates greater than ninety to ninety-five percent.

There are few YouTube videos and Udemy courses available. These courses have definitely helped us when we were unsure of certain features. We have learned about features from these resources.

I would definitely advise UiPath Platform because it is one of the best tools I have used in my organization. It has many features such as Kit, Studio, different types of test suites, and numerous other features available, with community help and much more support. My overall rating for this product is 8.5 out of 10.