UiPath Robot EMEA

I have completed multiple projects with UiPath Platform, and the current one I can discuss is Azure Sync, which syncs files present in SharePoint to the Azure container.

For the Azure Sync automation in my daily workflow, SharePoint is maintained by multiple projects and multiple users who upload, delete, or edit files. Since not everyone can access the Azure container and it should be stored as a backup, the bot syncs files every day with two triggers: morning and evening. Whatever users do to the files in SharePoint is synced to the container as well. If a file is edited, modified, or deleted, the same action happens in the Azure storage container to maintain a backup of everything occurring daily.

I can also discuss a project where I worked on KYC verification for credit card appliers with UiPath Platform. I used Document Understanding and APIs to verify images and Aadhaar card numbers, PAN card numbers, and other information.

The agents are now trending with UiPath Platform, and the activities available are numerous compared to other tools I have worked with. I believe UiPath Platform is the best compared to others.

Document Understanding has been helpful in my projects with UiPath Platform.

Document Understanding assists me in KYC verification, where it extracts images, signatures, names, dates of birth, and other information.

UiPath Platform has helped improve our ROI. Most cases have reduced time comparatively.

UiPath Platform helped convert a project's time limits from four hours to 20 minutes, which is a great benefit to the company.

It has reduced human error and freed up employee time. Humans make mistakes that bots will not make, thus reducing errors.

In my current process with UiPath Platform, I experienced an issue with a SharePoint activity and raised a ticket with the UiPath support team. The initiative was good—they came with a call and all—but the issue did not resolve even after two to three months. The support team may need to improve response times and resolution effectiveness.

In documentation, providing examples along with how the activity works would be more helpful.

I have been using UiPath Platform for four years.

UiPath Platform is stable.

It is impressive to see how UiPath Platform's scalability works.

UiPath Platform's customer support is very good. I rate the customer support an eight on a scale of one to ten.

I have been working in RPA for five years. Previously, I was working with Automation Anywhere and now I am working with UiPath Platform.

I evaluated Automation Anywhere before choosing UiPath Platform.

I have seen a return on investment where the bots converted time from four hours to 20 minutes.

The experience with pricing, setup cost, and licensing for UiPath Platform is higher, but it can be justified when compared to other platforms.

I worked with Automation Anywhere and switched to UiPath Platform because users are picking UiPath Platform rather than Automation Anywhere comparatively.

AI agents have been improved regarding UiPath Platform's governance and security.

I have come across UiPath Academy courses and certification courses. Academy is the most valuable resource.

The events and DevCons conducted by UiPath provide significant value to me as part of the user community.

UiPath Platform is easy to learn since it is low-code and no-code. However, it is a vast product with much to learn.

I rate this review a nine out of ten.

I works primarily with Maestro Flow, Agents and IXP to consolidate data from multiple systems during a booking process. Documents are gathered and combined, then IXP extracts the relevant data, which is routed to the Action Center for human review. Once validated, a transformation agent takes over before sending the data to the end system. This blend of humans, agents, and system data substantially cuts manual effort while keeping a human-in-the-loop checkpoint for data validation.

This combination of Maestro, IXP, and agents has enabled projects that would previously have been rejected as infeasible using traditional automation approaches. Many prior proof-of-concepts using conventional methods failed, but this integrated approach has had a positive impact at the organizational level and helped win more projects, despite an initial adjustment period.

IXP (document understanding): Previously, extracting data required extensive training and annotation of documents. With IXP, the process is prompt-based—upload a document, write a clear and precise prompt, then validate and refine. This is especially valuable in scenarios involving 150+ document templates where traditional training-based extraction isn't feasible, since collecting and annotating that many document variants would be impractical. Extraction quality depends heavily on how well the prompt is written, but the time savings over traditional document understanding are substantial.

Maestro (process orchestration): The standout feature is the ability to retry a failed transaction at the point of failure rather than restarting an entire multi-step process. For example, in a 10-process workflow, a failure at step 10 (e.g., an application login issue or maintenance downtime) can be retried directly, without rebuilding the recovery logic that frameworks like REFramework would typically require. Maestro also provides visibility into all running instances and includes livestream demo capability, which has made it easier to showcase workflows to business stakeholders (previously this required screen-sharing from a VM; now it can run unattended with live visibility. Live stream

• Studio 2025 interface: The redesign to mirror Studio Web has made the IDE less user-friendly than previous versions, at least during the initial adjustment period.
• Action Center row duplication: When reviewing multi-column, multi-row data (e.g., 15–20+ columns), users currently must manually re-enter every field for each row even when only one or two values differ between rows. A "duplicate row" feature would let users copy a row and edit only the changed fields, saving significant time. Without it, some users abandon the review and reject records outright.
• Storage bucket timestamps: A feature request has been submitted to expose the write date/time for files in storage buckets.
• Regex visibility in Action Center: Validation conditions written as regex expressions are currently visible to end users in the Action Center UI. Ideally, only a human-readable label should display, not the underlying technical expression. A feature request has been submitted for this as well.

I have been using this solution for four to four and a half years.

IXP had some early model limitations, but recent model versions have performed well with no significant concerns.

Scalability is good. I can leverage all the systems in one ecosystem. All the services in one ecosystem, which is really good.

Support tickets typically result in a direct call from an agent, along with an email trail, ensuring unresolved issues get followed up.

I have not used any other applications. I have gone through the platform of Blue Prism a bit, but I only prefer UiPath Platform and prioritize it as it is a market leader.

Considered straightforward, especially for those working on live projects. Best practices take time to learn, but the core logic is easy to pick up.

We are a partner with UiPath.

Strong ROI, primarily through freeing up FTE capacity previously spent on manual tasks. The combination of agents and IXP enables automation of more complex tasks, including autonomous decision-making, which extends automation beyond conventional use cases.

No info.

When comparing to other platforms, I would suggest 10 out of 10, because it brings the whole ecosystem in UiPath Platform, from building apps and agents and LLMs, everything is available in one platform, including the orchestration.

UiPath Platform brings the whole ecosystem in a single platform, from the Studio to orchestration, from the apps and the dashboards and also Maestro, extraction, LLMs, everything is coming under one platform. Now I can do some basic apps or dashboards within UiPath Platform, which is really helpful. Overall, when I see this ecosystem, it is all interconnected and it is useful. UiPath Platform is very much user-friendly when all the services are coming under the orchestrator or the Studio Web or Studio and it is all interconnected. I do not have to go for any other platform to get all those. It is really an amazing solution.

• UiPath Academy is considered a mandatory, high-value resource for staying current on both new and legacy features, offering practical, example-driven content useful for beginners and experienced developers alike. That said, hands-on project experience is viewed as more valuable than academy content alone.
• UiPath community (workshops, meetups) is seen as a major differentiator, helping users stay current and experiment with new features.
• Agent usage is still limited—so far used mainly for a simple name-mapping/conversion task via database lookup. Proof-of-concept work with agents has gone well.
• Agent trust layer / data trust layer: Data security is good, with masked data feeding into LLMs ensuring strong data privacy.

UiPath Platform is primarily used for bank reconciliation, which I built, and we have a product built on UiPath called Accuric that we sell.

My specific example of how I used UiPath Platform for bank reconciliation involves receiving bank statements via email from banks on a daily basis. These statements are consumed and placed into a designated folder where all attachments are compared to determine whether they are XLSX, CSV, or another format. Once this is done, I use UiPath Platform to remove all unnecessary columns and create a unique code. I also download the report from SAP to compare it with the ledger in the bank statement. I use multiple rules in bank reconciliation, including direct UTR match or date and amount match, along with thirteen additional rules. Finally, I provide a summary to the business stakeholder so that bank reconciliation is completed daily and maintained monthly, quarterly, or weekly, with the final report sent to stakeholders.

Regarding my other projects, I have used Agentic AI where I built many useful projects, specifically a comparison between a contract and a PO, which automates the manual matching process using Agentic AI within UiPath Platform.

The best features UiPath Platform offers are the user-friendly UiPath Studio, many direct-use activities, a great user interface for Agentic AI, and the unique UiPath Maestro, which is not available elsewhere.

The user-friendly interface has helped my team and me greatly, as new employees find it very easy to code using UiPath Platform compared to other automation platforms, which speaks volumes about the quality of the user interface.

In addition to the features I previously mentioned, I have encountered Process Mining and Test Manager, and I have built several manager testing platforms and use cases. I also leverage AI Center for human in the loop, and recently, IXV for Document Understanding with invoices, receipts, and PO samples, making it easy to train new documents with available machine learning models.

UiPath Platform has positively impacted my organization because it stands out as the go-to RPA for all types of automation compared to other platforms like Automation Anywhere, Blue Prism, and SAP BPA.

I believe UiPath Platform can improve its licensing costs, which are currently higher than competitors. If UiPath Platform provides more competitive licensing charges and offers built-in solutions for Agentic AI or Agentic that target enterprise-level automation, that would be very helpful.

Regarding UiPath Platform's AI capabilities, it has introduced governance and security, which I learned about at an event. However, I suggest that if it could receive certification directly from its own platform rather than relying on others, that would enhance its credibility.

As previously stated, I believe the pricing, setup, and licensing costs are slightly higher compared to the market, so a more competitive offering would be beneficial.

UiPath Platform is stable.

UiPath Platform's scalability is very good, allowing us to handle many users and projects, and REFramework helps us manage increased transaction volumes effectively.

Customer support has been very good. I have raised many queries and received timely responses, which have been beneficial in resolving issues, although a few problems took longer to address.

I was using Pega Systems before I switched to UiPath Platform due to its superior automation capabilities and the continuous support that UiPath Platform offers for legacy systems.

I am a partner with the vendor.

I have seen significant returns on investment as I have saved a lot across many projects. For one of the major bank projects, the time saved was almost eighty percent compared to manual processing, reducing the workforce from four employees down to just one employee overseeing the bot.

Before choosing UiPath Platform, I evaluated Power Automate and Automation Anywhere, but compared to those, UiPath Platform's activities and features were much more extensive and easier to use.

I have completed almost every new platform course from UiPath Academy, particularly with UiPath Studio, and the biggest benefits have been the hands-on learning and practical applications.

Being part of UiPath Platform's user community and attending many of the community events organized in Bangalore has been very useful, and I believe we require more community involvement.

I am using Agentic AI automation to achieve full automation containing all the required intelligence, which helps a lot to optimize processes.

For challenges, I am mainly using Agentic Automation related to finance and the P2P process, which requires validation and human involvement, particularly for processing unstructured documents that are lengthy, where human error can be a concern. Using Agentic AI helps in addressing these issues effectively.

I would rate this review nine out of ten.

My main use case for UiPath Platform involves automating multiple processes which include email automation, web automation, desktop application automation, Excel automation, and database automations.

A recent automation I built is the Salesforce case migration to user applications using UiPath, and it involves Power Apps for human approval, incorporating human in the loop aspects. We need to extract the cases from Salesforce, perform a few business validations, and then migrate the data to other user applications. This automation involves UI automation, email automation, and Excel automation.

In my opinion, the best features UiPath Platform offers include the Studio IDE, which is an integrated development environment using a drag-and-drop workflow designer, low code functionality, a rich activity library, VB.NET expressions, a modern intuitive interface, the Orchestrator as a central management hub, Document Understanding which is AI-powered, Process Mining, and Task Mining for document building. Furthermore, cloud deployment and scalability, as well as integration capabilities, are critical features.

I find myself relying on the Studio IDE for development the most. I use my Studio IDE to build automations and then utilize the Orchestrator to manage my build process, as well as manage my bots, triggers, schedules, and monitor transactions. Document Understanding also stands out as it helps us extract data from structured and unstructured format files.

I believe Task Mining is one of the hidden gems of UiPath Platform, allowing us to capture screenshots with a click and easily prepare our PDDs.

UiPath Platform has positively impacted our organization by providing major productivity improvements through automating day-to-day tasks.

I don't think there's anything to improve since UiPath Platform is already at the top of the list.

Regarding UiPath Platform's AI capabilities, its governance and security features stand out, including the AI governance framework, Document Understanding governance, model versioning, data management, performance monitoring, model explainability, retraining controls, Orchestrator level controls, process audit logs, user activity tracking, compliance reporting, and exception tracking. There are also aspects like AI decision transparency, confidence scores, manual review workflows, decision logs, and explainable AI features. However, there are gaps and concerns such as limited AI explainability and no native AI governance policies, which require manual configuration for sensitive use cases. The security posture is solid with infrastructure security, enterprise-grade encryption like AES-256 for data at rest, TLS 1.2+ for data in transit, multi-region deployment, DDoS protection, network isolation, and role-based access control, alongside data protection and residency options across multiple regions like Europe, US, and APAC.

I have been using UiPath Platform for the last six years.

The UiPath community is large, and I find great value in it since we receive assistance whenever we encounter issues with logic or code. The community forum is a reliable help source at any time, making it a great community.

The solution has significantly reduced human error and freed up employee time, which allows us to increase our automation to nine FTE for one of our clients.

I have worked on UiPath Platform Master POC, and I find it quite interesting.

UiPath Platform gives accurate results.

In my organization, we deploy UiPath Platform using public cloud.

We use UiPath servers for our deployment of UiPath Platform.

I have gone through UiPath Academy courses to learn about new products and features released on a day-to-day basis and quarterly updates. As a developer, I renew my associate diploma every year and pursue professional diplomas on the Academy, including courses on Document Understanding and UiPath Apps.

I am not using Agentic Automation in UiPath.

I have not utilized Communications Mining in UiPath.

I do not have experience with pricing, setup costs, or licensing.

I definitely advise my peers to use UiPath Platform daily to automate their tasks.

My overall rating for this review is 8.

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.