UiPath Robot EMEA

Our main use case for UiPath Platform involves working across different sectors, including banking, finance, and manufacturing, as well as healthcare, where we automate processes such as bank account reconciliation and credit card reconciliation across forty plus units.

In the manufacturing sector, document understanding has helped us classify over two thousand invoices per month, significantly reducing the workload and improving accuracy when mapping data into our ERP system SAP.

By leveraging UiPath Platform, we have developed a use case with substantial data processing using IXP, allowing us to save time and improve ROI through structured and semi-structured document extraction and analysis.

In the healthcare sector, we have automated reconciliation processes that previously took one to three days down to just four hours, significantly reducing human error and improving ROI.

The best features UiPath Platform offers include its user-friendly interface that simplifies development for business users, strong integration capabilities with various tools, and robust document understanding that classifies and extracts complex documents effectively.

The ease of skill and training processes for document understanding is one feature that stood out to our team, along with its ability to understand multiple universal languages.

UiPath Platform positively impacts our organization by expanding from traditional RPA to integration services and agentic AI, which enhance decision-making capabilities.

UiPath Platform's approach to coding agent integration is efficient and reliable, taking less time to build applications while delivering quality results, making it a standout choice compared to other platforms I have evaluated.

One area for improvement in UiPath Platform is the steep learning curve for new users compared to those who have been using it for a while.

I have been using UiPath Platform for around three point eight years.

UiPath Platform is both stable and scalable, effectively deployed across a variety of clients and continuously upgraded to enhance business operations.

UiPath Platform is both stable and scalable, effectively deployed across a variety of clients and continuously upgraded to enhance business operations.

Customer support for UiPath Platform is commendable, demonstrated by how quickly they resolved a setup issue we faced in a manufacturing center within a single day.

Initially, we used Blue Prism but shifted to UiPath Platform due to its higher platform capabilities and efficiencies.

We have seen a return on investment with our cancellation process implementation, reducing workforce needs and achieving an approximate sixteen times improvement in processing speed.

The pricing and licensing costs for UiPath Platform are relatively higher compared to other products.

UiPath Academy courses provide extensive resources, enabling both developers and business users to stay updated on new features and capabilities.

Being part of UiPath Platform's user community offers significant value through access to a vast pool of knowledge and support, with quick responses to queries and shared learning.

By leveraging agentic automation with UiPath Platform, we have achieved notable results through decision integration in our existing RPA processes, which has enhanced our business workflows.

For those considering UiPath Platform, I advise choosing it for its scalability, reliability, and advanced features in both deterministic and agentic AI governance.

We maintain a partnership with UiPath Platform. I would rate this review a nine out of ten.

I have been using UiPath Platform for almost four years, and as a platform support engineer, I use this product in a support capacity rather than as a developer.

My main use case for UiPath Platform involves providing this platform to our internal customers by granting access, planning access control, enabling new products, and ensuring that robots are running in the correct infrastructure, particularly the robot runtime configuration part, which I deal with in day-to-day activities.

There are multiple specific examples of how I have helped internal customers using UiPath Platform. I suggest customers use our environment for all automation activities and agentic-related functions using UiPath, where I assist them in automating tasks that require human intervention or large, time-sensitive jobs involving multiple steps by providing suggestions and preparing the environment accordingly.

The activities involved in my platform support engineer role are understood to be day-to-day responsibilities that others must be aware of.

UiPath Platform offers several features that stand out to me the most, starting with Orchestrator, followed by the recently introduced Coded Apps, along with Maestro, Maestro Case Flow, Maestro Flow, Test Manager, Test Cloud, Document Understanding, and AIXP, all of which are interesting and utilized in our day-to-day activities.

Coded Apps makes the biggest impact for our team because it is very easy to use, allowing us to develop things quickly and effectively.

Apart from Coded Apps, I find the Autopilot feature also valuable for customers without a cloud subscription, as it is a powerful tool despite some limitations.

UiPath Platform has positively impacted our organization by reducing human tasks by approximately thirty to thirty-five percent, and we are trying to increase this percentage by adopting new AI features. This percentage relates only to the older Orchestrator and unattended robot setup, while we expect more results from the new features we have yet to calculate.

The reduction in human tasks has helped us save time and money, allowing us to utilize the remaining resources for other tasks.

UiPath Platform can be improved in several ways. At Allianz, we have raised multiple TAF requirements, asking for integrations such as AAD for Document Understanding and better utilization of platform unit resources, which currently lack visibility.

Regarding needed improvements, I wish UiPath would prioritize finishing the TAF requests we have raised and ensuring compatibility across all products, especially since the recently introduced Coded Apps currently do not work on the private link.

Regarding UiPath Platform's AI capabilities, I believe its governance and security need improvement. While I see recent enhancements such as the ability to disable individual models and track them, I still find room for improvement in governance, which I would rate an eight out of ten.

One improvement needed for UiPath Platform is the capability to run from customer environments. If UiPath could develop an environment that can be deployed in customer subscriptions, it would alleviate security concerns regarding data transfer.

I have been using UiPath Platform for almost four years, and as a platform support engineer, I use this product in a support capacity rather than as a developer.

UiPath Platform is stable, but we do experience some interruptions. Availability is around ninety-eight or ninety-nine percent, which is not quite ninety-nine point nine nine nine.

For scalability, I would say it fits most of our needs but still requires monitoring as we grow.

I have very good customer support since we have Platinum support.

I would rate customer support a nine out of ten.

Previously, we used Blue Prism, which lacked the freedom and features that we found in UiPath, prompting our switch.

I have seen a return on investment through saved time and money.

My experience with pricing, setup cost, and licensing has led me to believe that UiPath should reduce their tool's pricing and consider providing support levels based on customer purchase volume, particularly for larger implementations.

Before choosing UiPath Platform, we evaluated other options, but ultimately found UiPath to be superior to Blue Prism and Microsoft, especially since Microsoft was not very capable at that time.

My advice for others looking into using UiPath Platform is to first analyze the private endpoint capabilities, especially if security is a primary concern, and to consider all aspects, including the limitations and potential security glitches within UiPath products.

We are using Agentic Automation, but it is not security-capable, as agents need to be within UiPath, and the existing solution only provides VPN access, which is not suitable for production setups.

I am sharing the platform with our internal customers who are developing use cases using Agentic Automation; however, I do not have a detailed view of that area.

UiPath Academy primarily serves developers and lacks relevance for platform engineers, offering only limited courses. I believe more platform-specific courses should be introduced to benefit colleagues.

The value I gain from being part of UiPath's user community comes from the community events introducing multiple products. The last event I attended was great, featuring demos of various products.

I would rate this review an eight out of ten overall.

As a platform engineer and technical lead in RPA platform engineering, I manage the UiPath Platform end-to-end—including Orchestrator, tenant folders, robots, access provisioning, and permissions across components like Document Understanding, Maestro, iXp, and Data Fabric. A typical use case is accounts payable processing, where 200–300+ daily vendor invoices in varied formats (PDFs, scanned images) are handled through a Document Understanding workflow involving classification, extraction, validation, and a learning loop that improves the model from validation corrections. While the platform offers a vast range of capabilities—Studio/Studio X and the new browser-based development environment for automation building; AI-driven tools like AI Center, Communication Mining, and Autopilot; Action Center for human-in-the-loop exception handling; Apps for low-code UI interaction; and Process/Task Mining for process intelligence—Orchestrator remains the feature I use most and consider the true control tower of the platform. It governs queue management, credential and asset stores, robot scheduling, and folder-based segregation, enabling me to scale automation safely and reliably across hundreds of robots and multiple business units. Document Understanding and Action Center are close behind given their role in invoice processing and exception handling, but Orchestrator is what I touch every day and what transforms individual automations into a governed, auditable enterprise capability.

On the downside, while the new dashboard feature is a welcome addition, the validation and accuracy of the data it presents still need improvement. Version and upgrade management, though better than before, still demands careful planning to ensure compatibility across Orchestrator, Studio, and robot components—particularly in hybrid or on-premises environments. Licensing and cost transparency around the Platform Units model could also be clearer, especially in understanding how consumption is tracked and allocated at the organization level versus individual tenants. Additionally, the experience across Studio, Studio Web, and Studio X still feels somewhat fragmented, and greater design consistency and feature parity across these tools would help standardize development practices for teams with mixed skill levels.

Here's a rephrased version:

What really sets the UiPath Platform apart for me, beyond individual features, is how seamlessly the entire suite works together as one connected ecosystem rather than a collection of separate tools. A process idea can move from discovery and process mining straight into Automation Hub as a pipeline, get built in Studio, deployed and governed through Orchestrator, and enhanced with AI-driven Document Understanding—all end to end. That level of continuity is rare; many automation platforms offer strong standalone capabilities, but few match the degree of integration UiPath provides across the pipeline, and that's what I'd most want to highlight.

The UiPath documentation is like a bible for anyone who's worked extensively with the platform. From a user experience standpoint, I'd like to see continued investment in making Studio and Studio Web feel more unified. Switching between Studio, Studio Web, and Studio X for different use cases can feel fragmented, particularly when trying to standardize development practices across a team with mixed skill levels. A more consistent design language and closer feature parity across these tools would go a long way.

As a platform engineer, I've worked extensively across the UiPath Platform and identified several limitations, which I've logged as tickets—UiPath has confirmed these will be addressed in upcoming releases. The new dashboard feature is a welcome addition, though the validation and accuracy of the data it presents still need improvement and further review. On the upgrade and version management front, while the process has improved over the years, coordinating version compatibility across Orchestrator, Studio, and robot components—especially in hybrid or on-premises environments—still requires careful planning.

From a licensing and cost transparency perspective, I've seen the shift toward the Platform Units model, but I haven't found clear visibility into how Platform Unit consumption is tracked at the organization level. For example, if a tenant hasn't been allocated any Platform Units and an end user in that tenant tries to use one, it gets consumed directly from the organization-level pool. That kind of consumption visibility is what I've been looking for but haven't been able to find.

I have been using UiPath Platform for almost ten plus years.

UiPath Platform is stable.

The scalability, I can give it ten out of ten.

From a customer support perspective, I'd give high ratings—I have access to dedicated support where I can log my issues, along with an agent who helps translate and clarify the problem. Response times after submission are very fast; open tickets or cases are picked up promptly, and support is provided either via call or email. I'm confident that UiPath's product support team is among the best in the industry.

I was previously using Blue Prism, but the user-friendly approach and interface of the UiPath Platform, along with its continuous day-by-day progress and expanding capabilities, made me switch to it.

Blue Prism was one option among others. However, UiPath Platform was the best in the market, so I chose that.

The UiPath Platform community has truly brought out the best of the technology. Beyond the official product documentation, it's been a genuinely valuable resource for peer-to-peer problem solving—the UiPath Forum is often where I find real-world solutions faster than through formal support channels, with a strong base of best practices and a good number of active MVPs contributing there. The community also runs multiple events and local chapters; I've attended UiPath DevCon myself, which has been immensely helpful. For a platform team like mine, the community effectively functions as an extended internal knowledge base—it shortens the learning curve for uncommon problems and helps validate that our architecture decisions align with broader industry practice, rather than working in isolation. I'm confident it delivers real value, and I'd rate this overall experience a 9 out of 10.

My main use cases involve many options that are being asked by various OEs. We cannot say singular use cases, but there are many use cases depending upon the services. One of the many use cases in UiPath Platform is that we are providing a user-friendly front end for UiPath Platform automations, allowing business users to submit requests, view results, and interact with workflows without accessing UiPath Studio or Orchestrator directly. Some other use cases include providing services for master flow. Many business users are using master flow, and currently, our organization is not using AI agents or AI coded agents; however, we will be incorporating such features within our workflow soon to help business users develop and test courses quickly, deploy them to the orchestrator, and run processes faster. We have already received a demo for the same from the UiPath Platform vendor and our technical account manager, and everything seems good as of now.

I can explain some workflows that we are observing on a daily basis. One of them is a user access request workflow, where employees request application access. The user fills a form in the UiPath Platform application, and then the workflow goes for approval to the manager. After that, the UiPath Platform process creates or assesses the account status and shows it back in the app. The value we gain from this workflow is that it eliminates email-based records or manual tracking. Another workflow is the service desk request portal where internal IT support requests are created. In that workflow, employees submit issues through the app, UiPath Platform creates a ticket automatically, gathers diagnostic information, and the user tracks progress in the app. The value in this workflow is improved employee experience and ticket handling. These are some examples that we see.

Some of the best features I can mention in UiPath Platform include low-code deployment, which our developers find easy. The drag-and-drop flow design reduces development efforts significantly, which is one of the top features. Another important feature is AI-powered document understanding, which extracts data from invoices, forms, emails, and documents, significantly reducing manual data entry. Document understanding is one of the most valuable capabilities for automating document-heavy business processes used by all business users at our organization. UiPath Platform apps allow business users to quickly build business-facing applications on top of automations, providing a user-friendly front end for bots. The feedback we have received is that these apps help bridge the gap between business users and backend automations. Orchestrator provides centralized management of boards, queues, assistance, and monitoring, giving strong governance and control. It offers excellent visibility and control over automation operations. Integration with enterprise systems works well with SAP, Salesforce, ServiceNow, Microsoft 365 web applications, and legacy systems, providing a broad integration ecosystem that reduces implementation complexities. AI Center features enable AI model deployment and integrations into automation workflows. Process mining and task mining identify automation opportunities using real process data, helping prioritize automation initiatives.

Considering the features mentioned, such as low-code deployment, document understanding, UiPath Platform apps, Orchestrator, integrations, AI Center, and process mining, I think document understanding has had the biggest impact on my teams. It is used in most business regions, automating the extraction of data from invoices, claims, forms, emails, and PDFs. It eliminates significant manual data entry, delivering immediate ROI to operations teams when combined with AI and validation workflows. This feature handles both structured and semi-structured documents, making it one of the top features used in our Alliance environment by most business users.

In terms of improvements, I believe monitoring is a crucial area needing enhancement. The utilization of licenses and platform units should be better monitored at the tenant level, as we face challenges in understanding how many licenses are used and the platform unit utilization across all tenants. Additionally, flexible version management with improved version control for semantic versioning would be useful, allowing users to indicate whether it is another version or an incremental update. Moreover, improvements in debugging and troubleshooting are necessary since such tasks can be time-consuming, requiring detailed logs and monitoring insights to identify problems faster. Performance optimization for large automations would help reduce execution times and simplify maintenance. Finally, upgrading AI accuracy and training features in document understanding is essential, as is providing more out-of-box dashboards and usage analytics for automation ROI reporting to demonstrate business value.

The main areas for improvements include version management, debugging capabilities, UI customization in apps, performance for large-scale automations, and enhanced analytics or reporting. These enhancements would make development support and governance more efficient. Better debugging and monitoring capabilities would significantly impact day-to-day operations and support.

There are several improvement areas I suggest for UiPath Platform, such as better version management in apps, where users should be given the ability to control version numbers. This includes easier comparison between versions and rollback options. Enhanced monitoring and debugging are vital for better root cause analysis of production issues, and providing real-time data if problems occur will positively influence users' opinions about the applications. The performance optimization for faster loading and execution for automations and apps is another crucial improvement area. Higher extraction accuracy for complex documents and easier training maintenance of AI models are also needed. Overall, my main suggestions are for enhanced debugging, version management, UI customization, and continued improvements in AI accuracy and performance, to significantly enhance both developer and business user experiences.

I have been using UiPath Platform for the past six months.

UiPath Platform is extremely stable, especially with its shift from on-premises to cloud. The processes are faster now, and thousands of RPA processes run daily with minimal failures. The overall stability of UiPath Platform has increased from forty percent to about eighty percent.

UiPath Platform's scalability is robust. It scales well from small departmental machines to enterprise-wide deployments. Multiple robots can run in parallel; we are using multi-user machines and VMs to handle processes for three users simultaneously. The management is centralized through Orchestrator, supporting enterprise governance and security while easily handling large transaction volumes through queues.

Customer support has been notably beneficial, supported by documentation, community resources, and responsive engagement. Improvements can be made in reservation times for common issues, proactive communication, and enhanced guidance. As a platform engineer, I raise issues with the UiPath Platform technical support team, which resolves our inquiries on time based on ticket priority. The support team's responsiveness leads me to rate their support nine out of ten.

Customer support again receives a rating of nine out of ten. The overall support has been commendable, with documentation and community resources being helpful. Areas for improvement include faster resolutions for intricate product issues, more proactive communication on product updates, better guidance for troubleshooting advanced scenarios, and improved visibility for support status and root cause analysis.

I have not directly used a different automation solution, but I have evaluated options such as Microsoft Power Automate, Automation Anywhere, and Blue Prism. UiPath Platform stands out due to its strong experience, documentation, and understanding capabilities, as well as its large automation ecosystem. The extensive features offered by UiPath Platform give it a significant advantage over other applications.

In terms of return on investment, I can provide an example with invoice processing. Before using UiPath Platform, five employees processed a thousand invoices per month manually, taking about ten minutes per invoice, totaling approximately one hundred sixty-seven hours monthly. After implementing UiPath Platform and its understanding features, eighty percent of extraction became automatic, reducing processing time to two minutes per invoice. The total effort then decreased to about thirty-three hours per month, resulting in roughly a two-thirds reduction in manual effort and improved processing speed.

The setup cost and pricing receive a rating of seven out of ten, providing strong enterprise value through automation, AI capabilities, orchestration, and governance. The setup experience is generally good, yet pricing and licensing could be simplified. Greater flexibility in licensing options across products would enable organizations to better plan and scale adoption.

As feedback, I can say that we currently need to experience more in the automation side and explore Quotid agents in UiPath Platform to dedicate such features. Our Alliance organization has not started using such features yet but soon they will be used, and our automation workflows will be moved to another level, which I am sure of. Our primary purpose is to provide a business-friendly front end for automations. UiPath Platform works well for request approval workflows such as access management, onboarding, invoice processing, and other service desk requests. The integration with the UiPath Platform process is strong, but we would prefer to see better version management, richer UI customization, and enhanced monitoring capabilities going forward.

Enhanced feedback and monitoring would be the most valuable improvement, as it will reduce support effort and help resolve production issues more quickly, which is an important aspect.

There is a great positive impact from UiPath Platform in our organization, particularly in reducing manual effort, increasing operational efficiency, and enabling teams to automate repetitive tasks. This results in faster processing times and improved accuracy. For example, document understanding significantly reduces manual data extraction and validation activities, helping teams process documents faster while improving data quality. Additionally, UiPath Platform apps provide a simple user interface for business users to interact with automations, increasing automation adoption and improving the overall user experience. From an enterprise perspective, the combination of Orchestrator apps and AI capabilities offers end-to-end automation with strong governance, visibility, and scalability across the organization.

AI is not entirely one hundred percent correct, as it can make mistakes. However, the AI capabilities offer good accuracy for most common business use cases, especially in document extraction, classification, automation, and assisted decision-making. The models perform reliably on structured and semi-structured documents, which reduces manual effort and improves productivity. Nevertheless, accuracy can vary with highly unstructured documents, poor-quality scans, handwritten content, and industry-specific formats. Continued improvements in model training, exception handling, and confidence scoring will enhance the reliability further.

In our organization, UiPath Platform is deployed in a private cloud on Azure. We have a subscription owned by our end, where this platform is set up. It was earlier an on-prem setup with machines provided to users and an on-prem Orchestrator setup. Now it is cloud automation, where we are utilizing automation cloud features. All our VMs are dynamic machines, deploying new machines configured with the UiPath Platform Orchestrator.

Currently, we provide two types of services: UiPath Platform as a platform as a service and UiPath Platform as orchestrator as a service. For UiPath Platform as a service, we manage the Azure VMs entirely on our subscription, performing all A to Z activities on the machines. In the orchestrator as a service, we create tenants and groups on our end, allowing users to decide on the type of machine they can use—whether it is an AWS machine, Azure machines, or hybrid cloud machines provided by our organization. Users have complete freedom in choosing the VMs and the necessary UiPath Platform Studio versions.

The platform as a service we provide is complemented by our alliance team, which helps manage the VMs. However, we face challenges whenever there are Microsoft releases or organizational-level policies that need to be added to the particular machines, which might impact the appearance. In orchestrator as a service, there are fewer challenges, but users must adhere to our company standards, which include restrictions on downloading specific types of files or applications.

Currently, we as platform engineers are receiving mainly diploma courses on platform-level services, while most courses are developer-centric. Whenever a new feature is implemented, we benefit from demo sessions scheduled by our technical account manager, who helps us understand the usage and benefits of new features. Furthermore, we access recorded videos and live sessions to enhance our platform-level services. More platform-level courses would be beneficial for platform engineers.

UiPath Platform community provides value through workshops and webinars, allowing us to attend various training sessions. Some workshops are free while others require payment, and we obtain recorded content for reference. We receive live demos of new feature implementations before applying them at the organization level, which is beneficial. More workshops focusing on use cases and hands-on experience tailored for platform engineers would enhance the community experience.

Regarding UiPath Platform communications mining, we utilize it to automate actions or responses based on message content. This service helps analyze emails and customer communications using AI to identify intent, topics, trends, and opportunities for automation. Key capabilities include classification, intent detection, routing, prioritization, data extraction, analytics, and automation integrations. The positive impact is that it manages manual tasks, improves response times, and organizes processes for larger volumes of communication. Suggestions for improvement include better accuracy for niche terminology, easier model training, and more detailed analytics dashboards.

As for coding agents, they are not currently enabled for our alliance organization, but I understand their main purpose is for code review and documentation, as well as troubleshooting assistance. Coding agents can significantly improve productivity by automating documentation and troubleshooting tasks and can help reduce the manual work rate. Improvements are needed for context awareness across large projects and understanding enterprise-specific frameworks, which would further enhance coding agent adoption.

UiPath Platform has positively impacted our organization by allowing us to handle outages more effectively. In the past, whenever an outage occurred, we were the ones raising the case with the UiPath Platform technical support team before they noticed it. It should be identified by the UiPath Platform team first, then communicated to all business users and the platform team—this is a significant disadvantage of UiPath Platform Application Support.

Overall, I can say that UiPath Platform is an excellent application for strong end-to-end automation, reducing manual effort and operational costs. It provides significant ROI for high-volume repetitive processes. Therefore, I would recommend UiPath Platform to organizations looking to scale their automation efforts, as the platform delivers substantial business value through AI capabilities, enterprise governance, and external automation tooling, with further improvements in monitoring and management yielding even greater value.

I strongly suggest UiPath Platform to many users, as it offers numerous automation features. My advice is to start with simple, high-impact automation, build a governance framework, and then scale across the organization. Focus on establishing early governance and leverage the UiPath Platform Academy for skill development. As adoption increases, explore AI-powered use cases, such as document understanding and communication mining, to maximize ROI.

Regarding UiPath Platform's AI capabilities, we have to register this AI system in our environment. One of the positive impacts of AI, such as AI-powered document understanding, reduces manual efforts. The governance is managed through strong role-based access control, which is centrally managed via Orchestrator, including audit trails and monitoring that helps meet enterprise governance requirements. Other positive impacts include Gen AI and AI Center capabilities that help automate complex, decision-driven processes, and the API masking feature is very useful for masking confidential data embedded in the code. I suggest improvements in detailing permission margins across the ads deployment.

I have rated this review eight out of ten.

My main use case for UiPath Platform is business process automation, where I primarily see it being used to automate repetitive and rule-based tasks, especially when multiple applications or systems are involved. For example, it can be used for data entry, document processing, extracting information from emails or files, updating business applications, generating reports, and handling routine workflows. I also see a lot of potential in combining UiPath Platform automation with AI, where AI can understand unstructured emails or documents and make decisions, while UiPath Platform robots or APIs can execute the actual business process. So, for me, the main value of UiPath Platform is reducing manual effort, improving process consistency, and allowing employees to focus more on the tasks that require human judgment.

A specific example of a process I have automated with UiPath Platform is the document and data processing workflow, which involved receiving information from emails and documents, extracting the required details, validating the information, and entering it into other business applications. Earlier, a lot of this work had to be done manually, making it time-consuming and increasing the possibility of human errors in the process. With UiPath Platform, the repetitive parts of the process could be automated, where the bot could monitor incoming information, extract the required details, perform basic validations, update the target applications, and generate a status report. The biggest difference was the reduction in manual effort, allowing the team to focus on exceptions and tasks that require human judgment, making the process consistent and faster.

I see UiPath Platform as more than just an RPA tool; it fits into a larger workflow by connecting different parts of a process through its AI and API capabilities. I find the combination of Agentic AI and automation particularly interesting, where the agent can understand requirements and decide actions, while UiPath Platform handles repetitive tasks, providing a flexible and intelligent automation solution. Overall, I see UiPath Platform as a platform that reduces manual work, improves consistency, and enhances business processes intelligently, focusing on processes with real automation value.

Initially, while going through UiPath Platform, I struggled a lot, but after following tutorials, I understood it better. The features that stand out to me the most are the combination of RPA, workflow automation, and orchestration. I appreciate the RPA capabilities as they enable automation across multiple applications without completely changing existing systems. The document processing and AI capabilities are also useful for workflows dealing with unstructured information. Additionally, integration with APIs and different enterprise applications means automation is not limited to screen-based interactions. The Agentic AI capabilities are among the most interesting parts of UiPath Platform, where AI agents understand goals, make decisions, and utilize automation tools effectively. The orchestration and monitoring capabilities are also commendable, allowing central management of multiple automations during production. What stands out to me is how UiPath Platform integrates RPA, AI, and workflow automation seamlessly.

These features primarily help by reducing repetitive manual work, making day-to-day processes more consistent, particularly when information is collected from emails or documents and entered into applications. Automations can handle most repetitive steps, saving significant time for the team. AI capabilities are particularly valuable for working with unstructured information, as an AI agent understands content and extracts pertinent information without needing separate rules for every format. The integration with APIs allows automation to interact directly with backend systems, facilitating a smooth workflow. The biggest impact on the team is the reduction of repetitive work, allowing more focus on exceptions and analysis where human judgment is necessary.

The biggest positive impact of UiPath Platform on my organization has been the reduction of manual effort, making repetitive processes more consistent. For example, when a process involves collecting data and validating it, automation can handle those repetitive steps much faster than manually performing them. This saves the team time and minimizes errors. The key benefit is that team members can allocate less time to routine data entry and administrative work, allowing them to focus on analysis, exception handling, and higher-value tasks, leading to enhanced efficiency and consistency.

The main efficiency gain has been in reducing manual work in repetitive processes, where tasks that previously took several hours a week can be significantly reduced when automated. The automation processes multiple items consistently in shorter timeframes. Another improvement is the turnaround time; with background automation, tasks are processed continuously, reducing overall delays. Thus, the biggest efficiency gain is a combination of speed, time saved, fewer repetitive tasks, better consistency, and empowering the team to handle higher-value activities.

To assist freshers or new users starting with UiPath Platform, having better documentation or structured learning platforms would be beneficial. UiPath Platform is strong but can feel complex, especially for new users, due to numerous products, features, and configuration options. A simpler, guided experience would ease the onboarding process. Moreover, implementing AI and automation often requires considerable configuration and testing, so more built-in templates and best practice examples for common business scenarios would accelerate implementation. Overall, the focus should be on simplifying UiPath Platform and enhancing its transparency and integration capabilities for enterprise-level automation.

I have been using UiPath Platform for more than one year.

UiPath Platform is stable.

I consider UiPath Platform scalable because it supports starting with a few automations and expanding as business needs grow. I evaluate scalability on its ability to handle increasing transaction volumes and concurrent automations while maintaining performance and reliability. The primary advantage is the capacity to transition from single-task automation to broader, enterprise-wide automation initiatives.

Customer support for UiPath Platform is good, and the review sessions and documentation are helpful.

Previously, I used many different solutions to automate processes, some of which involved manual processes and scripts. The primary reason for switching to UiPath Platform was the need for a centralized, scalable automation platform. Handling automation with scripts or manual methods becomes challenging to monitor and manage as the number of processes increases. Additionally, UiPath Platform provides features beyond basic RPA, such as document processing, AI, API integration, and Agentic AI, giving us greater flexibility to address complex automation needs.

I recommend evaluating integration, security, governance, and maintenance needs before deploying into production, ensuring reliable automation with existing applications is crucial. Moreover, taking advantage of UiPath Platform's documentation, training resources, and user community can be immensely beneficial. There is a wealth of knowledge accessible through YouTube and other platforms, and learning from existing implementations can save considerable time. Overall, I believe UiPath Platform is worth considering if you have repetitive business processes and aim for intelligent, scalable automation. The approach should be to start small, measure value, and scale according to actual demands.

In our team, we are not utilizing any academic courses; instead, we primarily rely on open-source resources, YouTube videos, and various applications.

I do not have specific numbers, but I believe there has been a positive return on investment predominantly through time savings and increased productivity rather than reducing employee count. The key advantage is automating repetitive tasks that previously took hours for data entry and document processing, enabling employees to work on higher-value activities.

As I am working in the organization, I am not aware of specific licensing costs and setup costs, but I think these depend on the organization's size, number of users, and required UiPath Platform capabilities. Overall, while UiPath Platform offers robust enterprise features, organizations should carefully consider their use cases and the expected implementation rate before choosing a business model.

Before selecting UiPath Platform, I evaluated other options based on their support for actual business processes and the ability to integrate with existing applications. Reliability, scalability, ease of development, maintenance, security, governance, and flexibility of support were also critical considerations. Ultimately, I chose the solution offering the best combination of business value, reliability, security, scalability, and total cost of ownership, including licensing and maintenance costs.

One of the main benefits of automation has been the reduction of repetitive manual work, which also helps streamline processes. When employees repeatedly copy information between applications, errors can occur. Automating these steps with UiPath Platform ensures consistency in execution. This consistency improves productivity and turnaround time from a business perspective. The key benefit is not merely human replacement, but instead enabling team members to focus on critical tasks that require human judgment.

Using UiPath Platform, I find the user community quite valuable for learning, with one of the biggest benefits being the opportunity to learn from other automation professionals.

Using UiPath Platform Communications Mining, I can automate actions or responses based on message content. For instance, if we receive customer emails, the tool can analyze the message to classify requests, such as categorizing an email about a declined payment as a payment issue or an address update request. Based on this classification, the automation can take appropriate actions.

Monitoring the tone or sentiment in our messages helps identify and correct misclassifications and gives the team better visibility into our communication process and workflow performance. For example, if a payment issue message is identified, we can track its routing to the proper workflow or support team, flagging low-confidence messages for human review.

Currently, we are not using any agentic automations.

Workflow coding agents are particularly interesting because they assist in creating or troubleshooting automations.

UiPath Platform's approach to coding agent integration is straightforward to configure and integrate, where the main benefit of the Agentic agent is its ability to connect with existing systems. UiPath Platform automatically manages connections between different applications and processes, making it easier to establish end-to-end workflows rather than just automating isolated tasks.

Currently, I do not have any specific thoughts. I am learning and exploring UiPath Platform and RPA, and implementing workflows through Agentic AI. It is quite interesting. I would rate this review an eight out of ten.

My main use case for UiPath Platform is orchestrating workflows and processes. In finance and accounting, we have tasks that we do automatically. One of those tasks involves reading invoices, using Document Understanding, reconciliation, and purchase orders.

Using UiPath Platform for invoice reading has changed my workflow. Based on UiPath Platform features, it is quite simple and we integrated successfully. The specific feature in UiPath Platform that stands out to me as most helpful for my work with invoices is the automation builder. What I appreciate most about it is that it is easy to use, understandable, flexible, and developers can also use it.

UiPath Platform has positively impacted my organization. We used UiPath Platform bots proactively to check the servers, and if a service is down, we execute and reach transcripts before a human gets a notification. The best features UiPath Platform offers for server monitoring and automation include integrations of services, such as business and orchestration dashboards. That has worked well for us. We used it with other systems such as SAP and Oracle. We have not faced many challenges. It is simple and straightforward.

Regarding improvements, recently launched features continue to improve. Unique and ready-made license costs should be addressed. UiPath Platform should work on the licensing information. On the product side, I feel there is no need to improve since there are too many features.

Even with AI, the accuracy is not one hundred percent accurate. We can estimate around eighty to eighty-five percent accuracy. Regarding UiPath Platform's AI capabilities, governance can be set, and coming to the security standpoint, it is quite lagging, but UiPath Platform is providing improvements.

I believe they should work on licensing because most customers will be concerned about the licensing.

I have been using UiPath Platform for seven years.

UiPath Platform is stable.

Scalability-wise, we can increase the bots based on our job needs for specific jobs.

UiPath Platform's customer support is quite good.

Before choosing UiPath Platform, we evaluated other options and went with Automation Anywhere and Blue Prism.

We are not using the coding agents.

For relevant metrics, UiPath Platform will definitely provide return on investment. It is around forty to fifty percent return, extra return. If we invest one hundred rupees, the return follows accordingly.

Regarding my experience with pricing, setup cost, and licensing, this is the main area UiPath Platform should work on. UiPath Platform should focus on licensing. We are partners with UiPath Platform.

My advice to others looking into using UiPath Platform is that if your use case requires AI agents and RPA bots, then UiPath Platform is the best option to use. However, the licensing will be somewhat costly, though UiPath Platform will negotiate the pricing. I would rate UiPath Platform a seven on a scale of one to ten. I rate it a seven because whatever UiPath Platform is launching, the AI features and the efficiency are better.

My main use cases for UiPath Platform consist of major download Excel automation and PDF automations. I have done many use cases that extract data from different business users, such as Excel, CSV, text files, and PDF files. We are starting the data or using business logic to create the data in the required format, which is detailed for the business and shared back with them. It also involves entering data into different applications such as Oracle, Salesforce, and multiple internal organization applications.

Let me take a simple automation, such as an order entry, as an example. We get multiple orders from different customers in PDF format. I need to use UiPath Platform and Regex and Stream manipulations to extract the required data from PDFs, such as the processing date, invoice number, the number of items purchased, and the unit price of each item. After I extract those items, I create a CSV and then upload it into Oracle by concurrent programs or manually enter it into Oracle. Once the process is done, I need to gather all the data again, update it to a database, and create multiple Excel files to share back with the business to close the end of the process. That is how a simple PDF automation works.

In some of the processes involving PDFs, such as making a discount PDF, the PDF includes an IDR structured format. I study specific sections and use multiple regexes to extract the data needed. Based on the confidence levels, I create the data separately and combine it into a text to send it into a verac. The scanned PDF document takes more time and is more critical than a straightforward native PDF. I also work on UiPath Platform Restore Center on the website, where, if the selector is not available, I need to expect the elements and define selectors or fuzzy selectors to make it work.

The standard feature of UiPath Platform is UiPath Studio, which also includes a terminal and multiple cloud code extensions. This enhances the workflow, rendering a lot of work that used to take days into minutes or hours.

Previously, I used to code manually integrated templates, naming each activity and running all the code with multiple unit tests and debugging each flow. This took a significant amount of time. Now, since there are code extensions available, I can give a detailed prompt and get a workflow done quickly. The testing also occurs at a much faster pace, and if there are multiple validation errors, the RMID packages are already generated.

The modern activities have higher user engagement compared to classic activities, which had fewer features. The integration services are also effective, but utilizing the integrations and achieving scalability is straightforward since it operates on XAML, allowing me to create multiple XAMLs to enhance scalability.

We mainly use UiPath Platform because it is low code compared to traditional approaches when AI was not involved. UiPath Platform makes it easy to learn, create RPA workflows, push to production, and obtain code reviews since it is virtually a low-code platform. This year, we have improved our project delivery speed significantly, moving into a product with much less time than traditional programming languages.

Sometimes, we encounter system errors that could be resolved via support, but connection issues are more frequent in enterprise applications. However, these can usually be solved by raising tickets if you are part of an enterprise, though we are not, which makes it somewhat challenging. It is vital to ensure the connections of UiPath Platform are maintained because it has a larger community.

If UiPath Platform website included more features and documentation accessible easily, it would greatly enhance the experience. Instead of continually needing to raise support tickets, having a documentation hub where details can just be entered to retrieve required documents would be extremely beneficial.

I have been working in my field for seven years. Since two thousand nineteen, I have been working in this role.

UiPath Platform has proven stable and reliable for our enterprise automation needs. UiPath Platform consistently supports production automation, managing both scheduled and unattended processes. Its scalability extends well from individual automations to larger enterprise automation programs by increasing the number of robots, workflows, and processes. A key advantage of UiPath Platform is its ability to manage and monitor processes while orchestrating distributed execution across multiple robots, enabling effective handling of increased transaction volumes and onboarding additional business processes as the automation program advances. Overall, I rate UiPath Platform highly for both scalability and stability, especially in centralized governance, monitoring, and workload management crucial for enterprise environments.

The accuracy and reliability of the output from UiPath Platform's AI capabilities can be quite high. The effectiveness often depends on the quality of the input, content provided by the model, and the complexity of the task involved. For production enterprises, controlling the types of data pushed into AI is essential because AI relies on past data, and inaccurate historical data can lead to issues.

I would rate UiPath Platform customer support as nine out of ten. Overall, my support experience has been positive, particularly regarding technical issues. They provide useful troubleshooting guidance and assistance with related problems. The combination of UiPath Platform support team, documentation, and enterprise-level service have been beneficial. For more complex, environment-specific issues, the response varies based on the depth of investigation required. Addressing the response and resolution times for high-priority enterprise issues would enhance the experience further. Overall, I find UiPath Platform customer support to be a relevant and vital aspect of the enterprise platform experience.

Before standardizing on UiPath Platform, we evaluated other RPA and automation solutions, including Blue Prism and Power Automate. We also considered whether our processes could be managed through custom scripts or specific application interfaces. We selected UiPath Platform due to its stronger overall enterprise RPA capabilities, ease of development, orchestration, exception handling, scalability, integration, and governance. The developer experience, along with the availability of reusable frameworks, were crucial factors. Additionally, UiPath Platform's broader capabilities across AI document processing, communications mining, process orchestration, and agentic automation allow us to automate increasingly complex processes without resorting to multiple platforms. While we have utilized other automation technologies for specific tasks where they fit better, UiPath Platform remains the preferred platform for the majority of projects and large enterprise-grade processes. Our primary motive for transitioning to UiPath Platform was not simply to swap one RPA tool for another but to adopt a platform that accommodates the automation lifecycle from process discovery to assistance with automation and continuous improvement.

My advice for those looking into using UiPath Platform is to start with a clear, defined, high-value process instead of attempting to automate everything simultaneously. Identify processes that offer high volume, have potential for manual error reduction, and establish benchmarks for time, cost, quantity, quality, and error rates before proceeding with automation. First, ensure that your automation processes are standardized. UiPath Platform offers robust capabilities across RPA, orchestration, communications, and automation. Organizations should view the platform as more than just a development tool. I recommend early investigation into governance, reusable frameworks, security, exception handling, and training through UiPath Academy and Community to build team capabilities.

The solution has significantly reduced our human error rates. By determining repetitive and rule-based activities, we have addressed inconsistent processes. The primary benefit is the time saved for employees. Instead of dedicating time to repetitive tasks, employees focus more on exception handling, analysis, problem-solving, and higher-value activities. This translates into more consistent processes and faster turnaround times for all tasks, leading to standardized operations that function at an improved pace.

We have observed a positive return on investment from UiPath Platform. The primary outcomes are time saved, reduced manual effort, and improved processing capacity. We significantly decrease headcount, particularly in high-volume processes that once required employees to manually extract, validate data, and enter it into multiple systems. UiPath Platform automation manages the majority of these repetitive tasks. A process that previously took several hours of manual effort per day can now be accomplished with significantly less human involvement. Across various applications and automations, we see a thirty to forty percent reduction in manual effort and considerable improvements in processing turnaround time. For instance, a process for cancelling orders, which would normally take a day or six to seven hours, is completed in under thirty minutes with UiPath Platform and its automation scripts. This translates into returning approximately five hundred hours of capacity annually for a single process. Numerous other processes have also seen major time reductions thanks to using RPA and UiPath Platform, resulting in less manual data entry and faster turnaround times, enabling employees to focus on higher-value activities.

Our experience with UiPath Platform's pricing, setup costs, and licensing has generally been positive. While evaluating the platform for enterprise automation, the main issue with licensing has become complex, especially when transitioning beyond traditional RPA into digital automation or additional platform capabilities. Understanding which features are included in each license and how to scale is vital. Setup costs have been manageable due to existing infrastructure and enterprise applications. The larger investment typically involves solution design, development, integration, governance, and enablement. From a business perspective, the licensing costs are easier to justify when targeting high-volume, repetitive, and error-prone processes. Overall, I describe UiPath Platform as providing good value for enterprise automation, with simple licensing structures, clear packaging of AI capabilities, and enhanced productivity justifying the costs associated with usage.

I have been using UiPath Platform for seven years. Since two thousand nineteen, I have been utilizing UiPath Platform in my professional career.

We have utilized UiPath Academy courses since we began working with UiPath Platform because they offer a structured, hands-on learning path. They provide better development best practices and platform knowledge rather than relying on trial and error. For instance, we have gained significant insights in areas such as audio framework, call questionnaire queues, exception handling, debugging, and enterprise best practices. A significant benefit is the upskilling of new UiPath Platform capabilities, as we can engage with trial or beta versions and attend courses or meetups organized by UiPath.

I have participated in several connections to engage with UiPath Platform community, and communications mining has been valuable for classifying incoming communications based on content triggers. For example, emails and recommendations can be automatically categorized into service requests, invoice payment queries, access requests, compliance, and general queries. Automation can then route messages to the appropriate team, create tickets, or update business teams based on this information. For instance, an invoice-related email could be identified and directed to the accounts payable process, while an access-related request is routed to IT workflows. Messages that do not meet the required confidence threshold are reviewed by human oversight automatically. The primary value in communication management is turning unstructured communications into structured, actionable information to reduce manual email triage and processing requirements.

Monitoring the tone and sentiment of messages can highlight communications requiring immediate attention. Messages with negative sentiments or customer escalations can be prioritized and routed to the appropriate team rather than processed through standard workflows. This approach enhances responsiveness and is particularly useful for chatbots that possess the necessary judgment to manage message routing. Regarding agentic automation, we are exploring this capability to improve the limitations found in traditional user-based automation. Our main challenge is automating end-to-end processes that involve unstructured information, decision-making, and multiple systems, as predetermined rules are often insufficient. We aim to combine people, robots, and AI agents according to their strengths. AI agents will interpret information and make conceptual decisions, while robots will execute tasks across enterprise applications. Our focus includes managing exceptions, reducing manual decision-making, and enhancing orchestration across processes that were previously difficult to automate. The major benefit is transitioning from automating individual tasks to orchestrating complete business processes while maintaining appropriate governance, human oversight, security, and auditability.

We use agentic automation primarily for processes involving unstructured information or conceptual decision-making, such as email, document understanding, request clarification, and exception handling before executing deterministic UiPath Platform automation. A typical use case involves the agent interpreting incoming requests, identifying intent, and determining the appropriate workflow based on this understanding. Although human intervention is needed for approvals, our initial outcomes are positive, particularly regarding reductions in manual analysis and improved process speed. In pilot use cases, we observe approximately a twenty to thirty percent reduction in manual effort for processes involving structured communications and faster initial execution. We also witness consistency improvements since the classification and information extraction are performed systematically rather than manually. Agentic automation has enabled us to tackle processes that traditional rules-based RPA found difficult to manage, leading to major benefits such as reducing manual effort by around thirty to forty percent, quick identification of routing requests, and increased scalability allowing employees to focus on exceptions and higher-value work.

We employ coding agents such as Cloud Code and GitHub WorldPilot, OctaCodecs alongside UiPath Platform Development. These coding agents function as a developer test rather than fully automated developers. They aid in generating or refactoring code, reviewing project logic, conducting security evaluations, performing code reviews, troubleshooting components, and documenting workflows. The main issue they address for the team is that they reduce the time developers spend on development. By not starting from scratch for every implementation, developers can use coding agents to generate the initial version and concentrate on architecture, business logic, validation, testing, and production readiness. Since leveraging coding agent capabilities within UiPath Platform Development, we experience an approximate fifty percent improvement in development speed for suitable tasks, particularly for debugging code, documentation, and reusable components. The most notable impact is not simply the rapid code generation but also the shortened overall lead time for automation cycles, enabling us to automate complex flows at a much quicker rate than traditional approaches. I would rate this solution a nine out of ten overall.

My main use case for UiPath Platform is automations to develop bots for deterministic tasks.

An example of a deterministic task I automate with UiPath Platform is a report that we have to create, which is about developing a dashboard for customer satisfaction. At the end of every support call, a survey is sent to the customer, and when they respond, it comes to a survey platform. We run a report and curate it to different teams at HP. A human was taking about six hours approximately, and I developed a bot on UiPath Platform, which runs the report in mere eight minutes.

Regarding my main use cases with UiPath Platform, I have had a few other use cases, a few related to report generations itself and few sending completion reports. If you have to send a completion report at the end of the week or every week to a manager, we have automated that as well.

We are mainly looking at agentic automations for processes that involve unstructured information, multiple systems, or which require some level of decision making rather than just straightforward rule-based tasks. One example would be document processing or email processing. As an AI agent, an agent can understand the intent of incoming email, it can identify the relevant information from attachments or documents, it can classify the request and determine what action needs to happen next. UiPath robots can handle the repeated execution. Another area is exceptional handling. In traditional RPA, an unexpected scenario causes the workflow to stop. Somebody has to investigate what happened and then fix it. With agentic automation, an agent can analyze the exception and look for the available information and determine whether it matches a scenario or not.

We are also looking at data validation and reconciliation. When information comes from multiple sources, an agent can compare the information, identify the discrepancies and explain what appears to be wrong. Another use case can also be knowledge-intensive support processes. Instead of having an employee search through multiple documents to find an answer, the AI agent can provide the relevant information and provide a summary response. This will not just save time, it will also save a tech lead or a team leader's time.

One of the best features UiPath Platform offers is that it is user-friendly. That is one of the biggest strengths and its end-to-end automation capabilities, ease of use, and definitely strong AI integration. It is not just about automating repetitive tasks now; you can automate desktop and web applications as well. You can integrate APIs, handle documents, and now the latest capabilities to build AI-powered agents. I would also say that it has a low code approach so that even a beginner can start with UiPath Platform seamlessly.

Not necessarily a developer, but even a business user can develop automations. Those who are native to programming have the flexibility to handle more complex scenarios. This is because of the features that UiPath Platform has.

When it comes to how UiPath Platform has impacted my organization positively, I would definitely say it has reduced manual effort and improved process efficiency. The most stress is on the manual effort. It has helped us automate repetitive rule-based tasks, saves a lot of time. It reduces human errors because it is deterministic. It is black or white, there is no gray area. It always gives better accuracy and better consistency because the same process is executed in the same way every time. A human can make an error, different team members can make different errors, but a bot will not. Another positive impact is that our teams can spend more time on higher value work instead of those mundane repetitive tasks. Overall, it has made an impact on improving productivity and standardized processes.

One of the biggest benefits we have seen is freeing up employee time and reducing human error. Many business processes involve repetitive activities. There is no process that is free of repetitive activities. There will be some process, possibly like entering the data or moving the information between applications or giving an approval or the best use case is generating reports. Many teams spend a lot of time generating reports, which can definitely be automated because it is very deterministic. When these activities are performed manually, there is always a possibility of errors, especially when the workload is high. With UiPath Platform, we can automate these steps and make execution much more consistent. The automation follows predefined rules and performs the same steps every time. This improves efficiency as well as reduces effort. The time savings are definitely significant. Employees do not have to spend a huge part of the day just doing this. Rather, they can focus on exception handling, they can focus on analysis or any other decision-making tasks. From a business perspective, this has helped us improve productivity, turnaround time and process consistency. The impact is not just saving hours, it is about employee well-being as well. It is about using employee capacity more effectively while we have better consistency or better quality.

UiPath Platform is already quite comprehensive, but if I have to name a few areas that it can be improved, the first thing I would say is licensing. Licensing and pricing could be less complex, more affordable and more transparent, especially for the organizations who are just starting up or trying to scale. Another area that can be improved is that some advanced features have a steeper learning curve, making them more intuitive would help developers and business users. Finally, I would like to also say tighter integration between RPA, AI and agentic process, so it is easier to build intelligent end-to-end processes without having to connect multiple components manually.

One area that I would like to emphasize about the needed improvements is overall platform simplicity. UiPath Platform has a lot of capabilities, and it is something great that we all would like to stick to UiPath Platform, but sometimes finding the right feature or understanding how different components fit in together can take time. I would like to see better troubleshooting and debugging guidelines. In cases where automations fail because of integrations or environment-related issues, better guidance and better indication will be helpful. As agentic automations are becoming more important day by day, making these capabilities easier makes it easier to adopt and manage at enterprise scale that would make the platform even stronger.

I have been working in my current field for about eight years now.

UiPath Platform is very stable. That is one of the reasons for choosing UiPath Platform. The bots were necessary because of wrong input file or some business rule that was changed, but we have never seen the automation fail because of UiPath Platform. UiPath Platform is indeed very stable.

Scalability is a very good feature. Be it one user, be it ten users, be it hundred or a thousand users, we have never seen the performance dip. Scalability is one of the features any organization would opt for UiPath Platform. On a scale of zero to ten, I would give it ten.

Customer service is amazing, as good as UiPath Platform's community interaction. When you log a ticket, a UiPath representative will get in touch with you. When it comes to customer delight, UiPath Platform has a huge team who will come to your rescue for any kind of issue. Regardless of whether the issue is with UiPath Platform or not with UiPath Platform, they will document that and resolve the issue and give you an indicator to get it fixed. I would rate customer service as ten out of ten.

Before UiPath Platform, we used a combination of manual processes, scripts running, and some other automation approaches. The main reason we moved to UiPath Platform was those approaches worked well for individual problems. The major problem we had was when it came to scaling and managing centrally. A small script can automate one task very effectively, but when you have hundreds of processes across different teams, you need proper orchestration, monitoring and security as well. UiPath Platform definitely gives a complete enterprise platform with studio equipment orchestration for centralized management, so we could move from individual automations to a more structured automation program. Another reason was the ability to automate across different types of applications. Any organization will have a mix of web applications. There will be desktop applications, and some can be modern applications and some can be legacy systems. When it comes to legacy systems, it is very difficult, and UiPath Platform has a better edge. You can have the applications involving files, emails, APIs. UiPath Platform provides a platform for connecting to these different environments. As I said, UiPath Platform was easier to standardize across the organization, and we could establish common development practices. The switch was not necessarily because the previous solutions did not work; they worked for specific use cases. The main reason for the UiPath Platform switch is better scalability, centralized management and governance.

One of the metrics, the most important metric is ROI, return on investment. How many dollars have you saved? A bare minimum idea is not looking less than a hundred k dollars saving or at least five to six headcount saving. This is a huge impact. There is significant time savings. This is mainly because the tasks that previously took hours of manual effort, now can run automatically. The most important metric would be ROI, improving productivity, and having better efficiency. The biggest productivity improvement is that the team can focus on more value-added work rather than the same mundane tasks. UiPath Platform has impacted us with faster processing time and freeing up employee capacity.

We have seen a clear return on investment with UiPath Platform. The biggest returns come from time saved and increased employee capacity. For the processes that we have automated, I estimate that we typically achieved around thirty to forty percent reduction in manual effort. In some high volume cases, the reduction has been even higher. This translates into a significant number of employee hours saved. We have seen faster processing time, roughly forty to fifty percent in some workflows because the automation can run continuously without waiting for somebody to manually pick it up. From a financial perspective, we look at the ROI by comparing the automation and licensing costs against the capacity released or the reduced work. For that process with sufficient transaction volume, the investment has paid back relatively quickly and relatively well. One important point is that we do not necessarily view the benefit as reducing the number of employees. Instead, we use the capacity difference. The employees who previously spent several hours on a repetitive task can now do it much faster. Other than the activities, which require human judgment. I would say thirty-three percent less manual effort and forty to fifty percent faster processing time.

Overall, I would say the sentiment is positive from a capability perspective, but the cost structure can be a little complex. The initial setup cost depends quite a bit on the scale of the implementation. For a small proof of concept, the investment can be relatively manageable. When you move to an enterprise deployment with multiple developers, in this setup, you will have attended as well as unattended robots, orchestration capabilities and additional improvements.

We never looked into a different platform. With the buzz on UiPath Platform, we definitely got a sense of security, so we went ahead with it. We attended community meetups and we opted for UiPath Platform.

The advice I would say is to go ahead and have a look at your own applications and go ahead and brainstorm what your company's infrastructure is. Think about what predominant applications you use. If you definitely have a mix of web applications, I would definitely not think twice to opt for UiPath Platform. In terms of licensing, numbers, and pricing matters. I give this review an overall rating of nine out of ten.

There are many use cases, and the current one is vendor invoice management. Vendor invoice management is a process where we receive invoices from vendors, reconcile them, verify the check from SAP, and then post it on SAP. In UiPath Platform, we are using UiPath Studio and UiPath Orchestrator. For reporting, we are using UiPath Insights. We are also using UiPath Forms and Apps where human decision is required in cases of getting approval for verification. We use UiPath Forms on the Action Center, and post-approval, we get it posted on SAP.

UiPath Platform is helping us in categorizing workflows because we are using long-running workflows. We send a request to the human, and once the human approves or rejects, we take a decision. UiPath Platform Forms, long-running workflows, UiPath Orchestrator, and UiPath Insights dashboard reporting for each stage are used for this process.

There are many best features available in UiPath Platform. Currently, we are getting used to UiPath Platform Document Understanding, UiPath IXP, and UiPath Action Center. Going ahead, we have UiPath Platform Autopilot and UiPath Platform Agents, which is a pretty extensive list of useful features.

Document Understanding gives us the flexibility that with IXP, we don't have to train the documents. We just upload them and the AI does the work for us. We have all important fields in the invoice extracted for us. This reduces the manual workload and is very useful. The Action Center provides a user screen where all the data extracted by the agent or UiPath Platform is shown on the screen, and the user can decide whether this is correct. If it is not correct, they have the option to override the values there and we can continue. That is a good feature.

Agents are an evolving feature, and UiPath Platform is best suited for complex processes compared to other tools in the market. With other tools, we cannot code it for complex processes, but here, UiPath Platform gives us the feature to integrate any amount of complex processes. It has a lot of features with all modern things done with ease. UiPath Platform has brought us a lot of projects and is helping us in our day-to-day life. We have completely automated our HR system and everything is happening through UiPath Platform bots. There is a lot of positivity and people have become friendly with it now.

UiPath Platform can be improved by better handling of updates. Whenever there is something new, they keep forcing customers to upgrade. They should bring a feature that allows auto-translation for future updates to avoid the pain of upgrading every time they release a new package, as they remove some old features. This has to be addressed as it makes it difficult for users to keep up as new versions are approved.

The pain points include necessary updates to support documents or documentation. It would be helpful to provide real-time examples for a feature, usage, and configuration. While this is getting updated on UiPath Platform Academy, support documents updated with the latest information will be highly beneficial.

Redoing updates and manually updating the code for the latest features is necessary only because of these issues. Apart from that, everything looks good.

I have been using UiPath Platform for more than five years.

In the long run, we cannot judge something on the AI because it is still in the early stages. We are still not in a position to judge this appropriately. It is too early.

UiPath Platform gives a lot of options for scalability. We are using it and finding it very useful.

Customer support is quick, but sometimes they keep asking the same set of questions again and again, which delays the answers. Customer support is trying to support, but in most scenarios it gets delayed.

In our company, we directly started with UiPath Platform only. There were plans of using Microsoft Power Automate as well, but it is useful only for simple use cases. For more complex use cases, almost everything is done using UiPath Platform.

The ones mostly considered were Blue Prism and Automation Anywhere.

It was really easy because of our vendor. We had a partner who helped us negotiate the contract with UiPath Platform. The setup cost was not significant as we went directly with the cloud. The licensing was on a yearly model, which was fair and transparent.

We have used UiPath Platform Academy courses to transition for all new features such as the Action Center. Watching the exact videos helps us understand the exact steps, what to do, and what the outputs are. It gives us a good way to understand and learn.

There was definitely a lot of time saved with the RPA. We have stopped hiring in our product team and are managing with bots instead, which saves employee time. There are fewer errors and it allows a standard approach to follow as per the CoE.

You can go ahead easily with UiPath Platform after checking the pricing. Although the pricing is a little costlier than other market tools, you can leverage UiPath Platform components to reduce the workload on employees. It prevents new resource hires and makes the process more efficient and intelligent.

Governance and security are really good because we can implement guardrails now. You can bring in your model if needed. UiPath Platform gives the flexibility to integrate security in line with organizational needs.

Initially, the accuracy compared to local LLMs is good because they have integrated it with the cloud. Most things remain reliable.

We have not used it on a large scale yet, just for email classification and providing email responses. Going ahead, we plan to use more agents. Agentic use cases are deployed where fixed rules are better, and where scenarios are complicated, agents are more efficient.

UiPath Platform community is extremely helpful. You can post questions and receive support from experts around the world. This active community is a strong asset. I would rate this review as 8.5 out of 10.