UiPath Platform Reviews

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 cases involve a variety of requirements coming from different OEs. Therefore, we cannot define a single use case, as there are multiple use cases depending on the service being provided.

One of the key use cases on the UiPath Platform is providing a user-friendly front end for UiPath automations. This allows business users to submit requests, view results, and interact with workflows without needing direct access to UiPath Studio or Orchestrator.

In addition, we provide services that support master flows. Many business users rely on these master flows to streamline their processes. Currently, my organization is not using AI Agents or AI Coded Agents; however, we plan to incorporate these capabilities into our workflows in the near future. This will enable business users to develop and test solutions more quickly, deploy them to Orchestrator efficiently, and execute processes faster. We have already received a demonstration of these capabilities from the UiPath platform vendor and our Technical Account Manager, and the initial feedback has been very positive.

To provide some examples of the workflows we observe on a daily basis:

1. User Access Request Workflow
Employees request application access through the UiPath Platform application. The user completes a request form, which is then routed to the appropriate manager for approval. Once approved, the UiPath process creates or updates the account and displays the status back to the user through the application.

Value Delivered:

• Eliminates email-based requests and manual tracking.
• Improves visibility of request status.
• Standardises the access management process.

2. Service Desk Request Portal
Employees submit IT support requests through the application. The UiPath Platform automatically creates a ticket, gathers relevant diagnostic information, and enables users to track the progress of their requests directly within the application.

Value Delivered:

• Improves employee experience.
• Enhances ticket management and tracking.
• Reduces manual effort for the IT support team.

These are just a few examples of the workflows currently being considered and observed within my organization. As adoption grows, we expect additional use cases to emerge across different business functions and services.

Some of the best features I can highlight in the UiPath Platform include its low-code development capabilities, which make it easy for developers to build and deploy automations. The drag-and-drop workflow design significantly reduces development effort and accelerates delivery, making it one of the platform's most valuable features.

Another key capability is AI-powered Document Understanding, which extracts data from invoices, forms, emails, and other documents, significantly reducing manual data entry. Document Understanding is one of the most valuable features for automating document-intensive business processes and is widely used across my organization.

UiPath Apps enable business users to quickly build business-facing applications on top of automation workflows, providing a user-friendly interface for interacting with automations. The feedback we have received indicates that these applications effectively bridge the gap between business users and backend automations, making automation solutions more accessible and user-friendly.

UiPath Orchestrator provides centralized management of robots, queues, assets, schedules, and monitoring, ensuring strong governance and operational control. It offers excellent visibility into automation performance and provides a single platform for managing automation operations across the organization.

The platform's integration capabilities work well with enterprise systems such as SAP, Salesforce, ServiceNow, Microsoft 365, web applications, and legacy systems. This broad integration ecosystem helps reduce implementation complexity and enables seamless connectivity across business applications.

AI Center allows organizations to deploy, manage, and integrate AI models into automation workflows, extending automation capabilities beyond rule-based processes.

Additionally, Process Mining and Task Mining help identify automation opportunities by analysing real process data and user activities. These capabilities assist organizations in prioritizing automation initiatives based on measurable business value and operational insights.

Considering all these features, including low-code development, Document Understanding, UiPath Apps, Orchestrator, integrations, AI Center, and Process Mining, I believe Document Understanding has had the greatest impact on my team. It is used across multiple business regions to automate the extraction of information from invoices, claims, forms, emails, and PDF documents.

This capability eliminates a significant amount of manual data entry effort and delivers immediate value to operations teams, especially when combined with AI models and human validation workflows. Its ability to handle both structured and semi-structured documents makes it one of the most widely adopted and impactful features used by business users across my organization.

In terms of improvements, I believe monitoring and governance are key areas that need further enhancement. The utilisation of licenses and platform units should be more transparent and easier to monitor at the tenant level. Currently, there are challenges in obtaining clear visibility into license consumption and platform unit utilisation across all tenants. Improved monitoring and reporting capabilities in this area would help administrators manage resources more effectively.

Another area for improvement is version management. More flexible version control, including enhanced support for semantic versioning, would be beneficial. This would allow users to clearly differentiate between major releases, minor releases, and incremental updates. Features such as version comparison, release tracking, and simplified rollback options would improve overall application lifecycle management.

Additionally, debugging and troubleshooting capabilities could be further enhanced. Root cause analysis can often be time-consuming, requiring extensive log analysis and investigation. More detailed diagnostics, real-time monitoring insights, and improved logging capabilities would help identify and resolve issues more quickly.

Performance optimisation for large-scale automations is another important area. Faster execution times, improved scalability, and simplified maintenance for complex automation workflows would provide significant value to both developers and business teams.

Further improvements in AI-powered Document Understanding would also be beneficial. Enhancing extraction accuracy for complex and semi-structured documents, while simplifying model training and maintenance, would improve automation outcomes and reduce operational effort.

In addition, providing more out-of-the-box dashboards, analytics, and ROI reporting capabilities would help organizations better measure automation adoption, platform utilisation, and business value. Enhanced reporting capabilities would make it easier to demonstrate the impact of automation initiatives to stakeholders.

Overall, the main areas where I see opportunities for improvement are:

• Enhanced version management and application lifecycle control.
• Better debugging, diagnostics, and monitoring capabilities.
• Greater UI customisation options for UiPath Apps.
• Improved performance and scalability for large automation solutions.
• Enhanced AI accuracy and simplified model training.
• More comprehensive analytics, reporting, and automation ROI dashboards.

These enhancements would make development, support, governance, and platform administration more efficient. Among them, improved debugging, monitoring, and operational visibility would likely have the most significant impact on day-to-day support activities and overall user experience.

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 are still in the process of gaining more experience with advanced automation capabilities and exploring Agentic AI features within the UiPath Platform. Currently, my organization has not yet adopted AI Agents or Coding Agents in production. However, we plan to introduce these capabilities in the near future, and I am confident that they will significantly enhance our automation landscape.

Our primary objective is to provide business-friendly front-end applications for automations. UiPath Platform works particularly well for request and approval workflows such as access management, employee onboarding, invoice processing, and service desk requests. The integration between UiPath Apps and automation processes is strong; however, we would like to see improvements in version management, richer UI customization options, and enhanced monitoring capabilities in future releases.

Among potential improvements, enhanced monitoring and operational visibility would provide the highest value. Better diagnostics and support insights would reduce support effort and help resolve production issues more quickly, which is critical for platform operations.

UiPath Platform has had a significant positive impact on my organization by reducing manual effort, improving operational efficiency, and enabling teams to automate repetitive tasks. This results in faster processing times, increased accuracy, and better business outcomes. For example, Document Understanding greatly reduces manual data extraction and validation activities, allowing teams to process documents more efficiently while improving data quality.

Additionally, UiPath Apps provide a simple and intuitive interface for business users to interact with automation solutions, increasing adoption and improving the overall user experience. From an enterprise perspective, the combination of Orchestrator, Apps, AI capabilities, and governance features enables end-to-end automation with strong visibility, scalability, and operational control across the organization.

AI capabilities are not always 100% accurate and can occasionally produce incorrect results. However, they provide good accuracy for many common business use cases, particularly in document extraction, classification, process automation, and assisted decision-making scenarios. The models generally perform well on structured and semi-structured documents, helping reduce manual effort and improve productivity. Accuracy may vary when working with highly unstructured documents, poor-quality scans, handwritten content, or industry-specific formats. Continued improvements in model training, exception handling, and confidence scoring would further enhance reliability.

Within my organization, UiPath Platform is deployed in a private cloud environment hosted on Azure. The platform is hosted within a subscription owned and managed by our organization. Previously, the solution was deployed on-premises, with physical or dedicated virtual machines and an on-premises Orchestrator setup. Today, we leverage UiPath Automation Cloud capabilities, and our virtual machines are dynamically provisioned and configured to connect to UiPath Orchestrator.

Currently, we provide two service models:

1. UiPath Platform as a Service (PaaS)

In this model, we fully manage the Azure virtual machines within our subscription and perform all operational activities related to infrastructure, maintenance, and platform management.

2. Orchestrator as a Service

In this model, we create and manage tenants and user groups while allowing customers to choose their preferred infrastructure. Users can utilise AWS, Azure, hybrid cloud, or organization-provided machines and have the flexibility to select the UiPath Studio versions that best suit their requirements.

The Platform-as-a-Service offering is supported by an infrastructure team that assists with virtual machine management. Challenges occasionally arise when Microsoft releases updates or organization-wide policies are applied to machines, potentially affecting system behaviour or appearance. In the Orchestrator-as-a-Service model, operational challenges are fewer; however, users must comply with organizational governance standards, including restrictions on downloading certain file types and applications.

From a learning and enablement perspective, platform engineers currently receive primarily platform-related training, whereas many available courses focus on development activities. Whenever new features are introduced, our Technical Account Manager provides demonstrations explaining the functionality and associated business benefits. We also make use of recorded sessions and live training events to strengthen our platform expertise. Additional platform-focused learning paths would be highly beneficial for platform engineers.

The UiPath community also provides significant value through webinars, workshops, training programmes, and product demonstrations. Some sessions are available free of charge, while others require registration or payment. Access to recorded content is particularly useful for ongoing learning. Additional workshops focused on platform administration, real-world use cases, and hands-on operational scenarios would further enhance the community experience for platform teams.

Regarding Communications Mining, we use it to automate actions and responses based on message content. This capability analyses emails and customer communications using AI to identify intent, classify content, detect trends, extract data, prioritise work items, and enable automation opportunities. The primary benefits include reducing manual effort, improving response times, and efficiently managing large communication volumes. Areas for improvement include increased accuracy for niche business terminology, simplified model training, and more comprehensive analytics dashboards.

With respect to Coding Agents, they are not currently enabled within my organization. Based on my understanding, their primary purpose is to assist with code generation, code reviews, documentation, and troubleshooting activities. Coding Agents have the potential to significantly improve productivity by reducing manual effort and accelerating development activities. Improvements in contextual awareness across large projects and enhanced understanding of enterprise-specific frameworks would further increase adoption.

UiPath Platform has also improved operational resilience within my organization. However, one area where improvement is needed is incident communication and outage management. In the past, our team has occasionally detected service issues and raised support cases before notification was received from the platform provider. Earlier detection, proactive communication, and timely notifications would improve the overall support experience for platform teams and business stakeholders.

Overall, UiPath Platform is a strong end-to-end automation solution that helps reduce manual effort, lower operational costs, and deliver substantial ROI for high-volume, repetitive processes. I would confidently recommend UiPath Platform to organizations looking to scale their automation initiatives. The platform provides significant business value through AI capabilities, enterprise governance, and automation tooling, with continued improvements in monitoring and platform management expected to deliver even greater value.

My recommendation to new users is to begin with simple, high-impact automation opportunities, establish a governance framework early, and gradually scale automation across the organization. Leveraging UiPath Academy and other learning resources is highly beneficial. As maturity grows, organizations should explore AI-powered capabilities such as Document Understanding, Communications Mining, AI Center, and Agentic AI solutions to maximise business value and return on investment.

Regarding UiPath's AI capabilities, the platform provides several valuable features. AI-powered Document Understanding significantly reduces manual effort by automating document processing activities. Governance is supported through strong role-based access controls managed centrally through Orchestrator, along with audit trails and monitoring capabilities that help satisfy enterprise governance requirements.

Additional capabilities such as Generative AI and AI Center help automate more complex, decision-driven processes. Features such as data masking and secure handling of sensitive information are also valuable when dealing with confidential business data. One area for improvement would be increased clarity and granularity in permission management across deployments, making administration and governance even more effective.

I have rated this review eight out of ten.

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 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.

We use it for synchronizing inventory, and we also have club operations, various use cases, downloading, and sending reports to the document reprint. My main use cases for UiPath Platform include many use cases across a lot of departments.

By leveraging Agentic Automation, we have achieved ROI. More importantly, we have enhanced customer experience and team member experience. For example, the Agentic workflow I mentioned helps the IT help desk team ensure tickets are more streamlined, consequently reducing delays in responding to tickets.

We've used Agent Builder, IXP, and Maestro for orchestration. We have created context-grounded searches or chatbots using context grounding, and we also use context grounding within an Agentic flow where a bot or agent reads ServiceNow tickets to determine whether it has been assigned to the right work group. If it has not been assigned correctly due to human error, it automatically reassigns it to the right group.

I would assess Agentic AI's ability to extract data points as effective. We created an agent for the purpose of extracting data, though not in a document. We created what we call an email conversation agent that engages with a customer, vendor, or someone in an email conversation with a set goal of extracting specific data points for an action to be performed subsequently. The one automation we have deployed in production involves the agent interacting with team members to collect data points and create a ServiceNow ticket.

We appreciate almost all features of UiPath Platform, with one of the most successful ones being the use of Coms Mining. Most of the new features related to AI have all been good, and we use Agentic. We have already created a few agents and have started to use Maestro for a few flows, though we are not yet there to orchestrate an end-to-end workflow.

We have good ROI from the automations we have developed with UiPath Platform, which far exceeds the investment in the platform. It has saved us tens of thousands of hours in manual effort, making the team members happy to pursue other things of value.

The one thing I would recommend to improve is pricing, which is a big challenge. One suggestion from the Product Advisory Board was to provide a calculator to help predict next year's budget for AI units or platform units needed. This calculator could indicate trends and projections for the upcoming years.

I have been working in my current field for seven years.

I would assess the stability and reliability of UiPath Platform as needing improvement. Despite healing agents, we haven't tried screen play yet. 

My major pain point remains pop-up windows, UI changes, and related issues, which is why I have a four-member support team working daily. They address roughly 50-plus issues every month, and I want to see a reduction in these issues before I comment further on the platform's stability.

We have not really scaled yet. That is in the picture right now. We would to scale, however, I am unsure how open the organization is to that scaling. We still need to see the proof of value for our current efforts. 

My evaluation of customer service and technical support has been excellent. We have a dedicated TAM who participates in our weekly meetings and is present during my meetings with citizen developers. He is always prompt in his responses, and tickets on the customer portal are addressed within 24 hours, often with someone either calling or emailing us with solutions.

Positive

Prior to adopting UiPath Platform, I was not using another solution to address similar needs at my current workplace, however, I have worked with Blue Prism in the past. UiPath Platform is far superior compared to other tools in this market space.

Initially, we started off with on-prem, and we moved to the cloud after I joined. It was a little challenging. One of the big challenges that I see in migration or deployment is when there are upgrades. So, for example, Windows upgrades, and recently we had an upgrade from Windows 10 to Windows 11, and a lot of things started failing, including some of my citizen developers' automation. There are quite a few challenges when it comes to deployment. I would say on the whole, it takes time. That said, we've been able to get there.

My returns at this point are around four to five times the investment we made in payments to UiPath Platform. I have seen a return on investment with UiPath Platform.

For now, I would say 90% of my ROI comes from past automations we've developed, not even with Agentic. The automations we've created thus far are responsible for driving the ROI, and I anticipate this will continue for the next couple of years until we create some critical Agentic and orchestrated workflows.

My experience with pricing, setup costs, and licensing is that pricing is very complicated. With so many consumables and platform features, a bit more simplicity in pricing would probably be appreciated. For instance, separate pricing for SAP testing, and separate pricing for the newer version of the test platform or test cloud, should be included within the platform pricing. It would be ideal to have one big payment for the platform and then consumption-based pricing as a la carte.

The advice I would give to other organizations considering UiPath Platform is that, while the platform offers many features, it can feel overwhelming. Start small with the features you most prefer, such as automation, which is the most straightforward and ROI-generating function. Ignore AI, agents, or Coms Mining initially; just use a bot for something simple. Then, leverage that experience to enhance your automation. I still recommend starting with task automation and later expanding to orchestrated workflows, which might take a year or two to achieve. Patience is key. 

I rate UiPath Platform overall as a ten out of ten.

Right now we're splitting our main use cases for UiPath Platform between supply chain and finance with some rev cycle. Within finance, what we've automated includes invoicing for non-patient billing for third-party clients, particularly as it interacts with PeopleSoft, so users don't actually have to have access to PeopleSoft. We've automated them being able to get their invoices, and within supply chain, many automations are around purchase orders and updating statuses and things like that.

Since we're still on-prem, the Orchestrator feature of UiPath Platform has been key in us being able to monitor and see exactly what is going on with the automations. We also find it really valuable that we can automate not just Microsoft, but also PeopleSoft and other applications.

Since using UiPath Platform, we're now able to process between 15 to 18 million dollars a month in invoices that are coming through automatically through the automation. It's not relieving us of FTEs, however, it means that these people aren't having to spend the time to do it, so they're able to focus their work on other beneficial items and it's less prone to error.

My team all has to go through UiPath Academy, as we have a citizen development program, and everyone who goes through the citizen development program has to go through UiPath Academy before I give them their licenses. The biggest benefit we've seen from using UiPath Academy is the fact that the lessons are still out there, so if you need to revisit something or if you're unsure of how to do something, the forum can help, Copilot can help, but it's better to go back to what UiPath said in the training.

We are part of the UiPath Community. In terms of the value that we've gained by being part of the UiPath user community, we really enjoy being able to access what's going on in the forum, and having the opportunity to attend some of the local UiPath events. Pittsburgh doesn't have as much going on with their team or group, but the opportunity has been there in the past. It's beneficial to see what other people are doing at those events because it's very easy to think you're in a silo, especially within healthcare, so it's nice to see what others are doing.

To make it a ten out of ten, it would help if they understand that we don't work 24/7, so we're not going to respond immediately when they send an email asking for a response.

The company has been using UiPath Platform since 2019, and I took over the group in 2020.

Once we upgraded to 23.4, any of the stability issues we'd been having with 20.20 went away, so far it's been very stable with UiPath Platform and its robots or automations.

So far, we've been able to manage scaling with UiPath Platform, however, our biggest issue isn't around UiPath, it's around the resources to help scale it and support it.

I would evaluate customer support or technical support from UiPath as great, as they've been very responsive. Having the TAM has helped. It escalates support tickets when we've had to file them.

Positive

I was not part of the team that selected UiPath, yet at that time, they were also looking at Blue Prism.

We just did a big upgrade last year. We went from one of the lower versions to a higher version. We went to 23.4, and we've been on 20.20. So we did a big jump, and we could not have done it without our TAM. We absolutely needed the technical account manager. The way the company has set up some of their firewall security, et cetera, was challenging. And so trying to navigate that to make it work with you with what UiPath is doing has probably been the biggest hurdle. It's not necessarily that UiPath is difficult. It's just trying to make sure everybody understands or is willing to talk to each other.

At this point, we consider ourselves break even. We're a small team, so we're not able to do as much new development since we're all focused on trying to do maintenance and support of existing automations.

Regarding my experience with pricing, setup costs, and licensing of UiPath Platform, because we haven't grown as fast as we would like, UiPath has been willing to accommodate that stagnation. We're kind of holding steady, which has been appreciated.

Our organization is very heavily invested in Microsoft, and they are pushing Microsoft, however, we're holding firm for UiPath Platform. We do use Power Automate, so there's a big community for that. Our company has 90,000 people, so they definitely have a big investment in Power Automate.

We're not cloud-based yet, but we are moving to the cloud in the next six to eight months, so we don't use agentic AI at all currently. We are planning to start looking into what we could do with agentic AI once we transition to the cloud.

Based on my experience with UiPath, my advice to someone considering it is to make sure you have a good TAM. You absolutely need it, and understand everything involved, including policies, governance, security, and administration. 

I would rate UiPath Platform an eight out of ten. Some items we're looking at aren't available until we move to the cloud. On-prem is a little more limited.

My main use cases for UiPath Platform are office automation, business, and accuracy.

The feature of UiPath Platform that I appreciate the most is the Desktop Studio. The Desktop Studio allows quick developments, and the IDD is fine, with search being great. It's easy to show, and it's quick to handle.

My thoughts on UiPath Platform's user community suggest that a lot of content seems outdated and old now that gets referenced. The community experience for the AI is limited because putting the error codes into the community search field doesn't return many results. However, a lot of information from pre-AI, before 2022, is still accurate and helpful, but the cutting-edge content just isn't in the community yet.

There should be better training on UiPath Platform. I wish I could search UiPath IXP training and have a course pull up as the first result without having to dig through a bunch of links, dead-end links, and random things. Easier access for training would be ideal.

I have been using UiPath Platform for seven years.

I assess the stability and reliability of UiPath Platform as excellent, with uptime always being 100%, and I've never noticed it being down for any reason. I've never had to submit a ticket or be in the red for downtime, so it's been great.

UiPath Platform scales appropriately with the growing needs of my organization, as if there's ever a need for more licenses, we can always get that and adapt, adding unattended bots or more units or consumables as needed. 

We have not expanded usage significantly yet, as what we have is suitable for our needs right now, but as more business units and business people see what we're doing, I'm sure there'll be a bigger need for more licenses and everything.

I would evaluate customer service and technical support as lacking; we're on the Bronze tier support plan, which is honestly miserable. Every time there's an issue, I receive one email a day, with replies coming at midnight.

When I was working on the AI content, it was brand new to me. I emailed support with the error code about what was going on, but they replied with troubleshooting steps I had already completed. They then emailed again with another step that didn't help, forgot my ticket, and didn't communicate for days. I had to contact our sales agent to get a person on the phone to help me, and the issue was resolved in 30 minutes to an hour, demonstrating that they took a support ticket that could be settled quickly and stretched it over 10 days. It was not great.

Positive

Prior to adopting UiPath Platform, we were not using another solution to address similar needs.

We pushed Agentic AI to production in early September and so far, we've saved roughly 72 hours. It's processed 400 emails, specifically 400 purchase order emails that we use it for.

I have seen return on investment with UiPath Platform. We have roughly 30 automations, some that run once a quarter, some once a month. Mostly they run throughout the day, saving us around a thousand hours per month, and we have done that for the past seven years or so.

When comparing UiPath Platform, I didn't evaluate much positively or negatively as it was already selected when I joined, and I got put into it.

My advice to other organizations considering UiPath Platform is to definitely attend Fusion, as there's a lot announced and many things to learn, especially for small shops. There's only so much you can learn while you develop and handle everything else, but there are many hidden elements that some tribal knowledge helps you learn. 

My overall experience using UiPath Platform's Agentic Automation capabilities indicates there's a lot to learn. I couldn't find much training on it. I looked on YouTube and within the UiPath community, and a lot of help came from our sales rep who connected with us and helped us along.

I would rate UiPath Platform overall an eight out of ten.

We have about 62 bots running in production today and saving around close to 600,000 hours a year of manual work. 

UiPath Platform features have benefited our organization significantly, as we have about 62 bots running in production today and saving around close to 600,000 hours a year of manual work.

The features of UiPath Platform that I find most valuable are the unattended bots, which is what we mainly use, and then we dabbled into attended bots for a while. The unattended bots have been most successful for us so far. 

UiPath Platform can be improved, as there are many capabilities we can utilize. The upcoming Agentic AI is going to expose many opportunities for us. There are features such as UiPath Apps, which we have not been successful at implementing in our company due to limitations, as we want to give control to the user community to run their own bots, however, at this point we haven't been able to fully implement that.

Additional features I would want to see included in the next release of UiPath Platform are the UiPath Apps and, along with Agentic AI, there are many use cases for the attended bots. If improvements can be made to attended bots, that would be beneficial asthere are many use cases in our company that we haven't explored yet.

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

UiPath Platform has been working effectively for us. Apart from some minor hiccups, which would be expected with any software, the experience has been positive. Regarding reliability, there have been no complaints.

I have not experienced significant downtime with UiPath Platform. At one point, we had an issue we thought was related to UiPath Platform performance, however, we discovered it was the underlying software we were interfacing with. Even then, UiPath Platform provided the right support to help us. Overall, there was only one instance of downtime in four years, which did not create any significant impact.

UiPath Platform has been scaling very effectively with the growing needs of our organization. We have been able to meet the needs of the organization even though we are growing every year.

Technical support from my experience takes considerable time to respond. Most of the time, by the time they get back to us and we work through it, we either figure it out ourselves or find answers in the community. 

On a scale from one to ten, I would rate customer service and technical support as a seven. This rating reflects that customer service has been good, however, technical support, due to the few experiences I had, lowers the overall score.

Positive

Prior to adopting UiPath Platform, I was using Automation Anywhere. We went with them for a year or a year and a half, and then we switched over to UiPath Platform.

The challenges we faced with UiPath Platform were initially related to working with a vendor service provider to implement our first couple of bots. These challenges were more aligned with the service provider's situation than UiPath Platform itself. Eventually, when our team started growing and we adopted it at a bigger scale, we found that what we had done at POC was coming to fruition.

I have seen a return on investment with UiPath Platform. With 62 bots saving 600,000 hours, we are around 500,000 plus, on target to reach 600,000 this year. This translates to $50 an hour or $18 an hour depending on how half of the work is done in the Philippines, which we count for around $20 an hour, and whatever is in San Diego, where our company is based.

I haven't been directly involved in the pricing, setup cost, and licensing of UiPath Platform, however, I have been informed. My manager, who is a director, handles all of those aspects.

Before selecting UiPath Platform, we considered Blue Prism, and then Automation Anywhere was implemented for a year or a year and a half before we switched to UiPath Platform. What stood out in my evaluation process was that the capabilities UiPath Platform provided were significantly more than what we had with Automation Anywhere. As soon as we switched over, our benefits almost tripled in the first year.

When giving advice to other organizations considering UiPath Platform, I would emphasize that starting POCs is very important. Having been on both sides as a consultant before joining this company, we had some POCs which did not work out very well. 

At our company, the POCs we selected were the best. Even today, those POCs turned into bots which give us more return on investment. Choose your automation ideas wisely, give adequate time, and manage stakeholder expectations. 

I rate UiPath Platform a nine out of ten.

My primary use cases for UiPath Platform are around investment type data, where we normally work with business units needing to pull in data where an API is not readily available. 

We have not started testing use cases as we are governed heavily by compliance, and we have what's called an RAIC council, so anything involving AI or LLMs has to go through them. We submit an intake form and wait for approval before we can start working on it. 

That being said, we have two potential use cases that we've already submitted the request to start testing out agents and AI within some workflows. I can share some details about those use cases, which are really centered around extracting data from very unstructured documents, as the structures frequently change quarter over quarter, making it quite complicated.

I have realized benefits utilizing UiPath Platform, and specifically, this year alone from January until last week, we have saved about $650,000 for the firm, with close to 5,000 hours saved by diving deeper into pulling investment data.

The features I find most valuable within UiPath Platform are the logging and controls, and the ability to bring value to the firm extremely quickly due to the low-code, no-code functionality. 

The biggest benefit I've seen from UiPath Platform Academy courses is the understanding of the REFramework, which is critical for proper coding, exception handling, and routing to support groups. My engineers with engineering experience often fly through the first part, but pause at the REFramework, where I explain the importance of mastering it.

Understanding the REFramework allows the firm to properly implement try-catch systems and route exceptions effectively, which is beneficial for ensuring everyone can jump into code they didn't deploy and understand how it flows together. It sets the framework within the company to support development and maintenance. If implemented correctly, it will not break and will bring stability to the process.

I am part of a UiPath Platform user community. Being part of the community allows me to network with other firms, share challenges, wins and losses, and seek support whenever I'm stuck with something, which is valuable for problem-solving. This exchange of information helps us to not divulge proprietary information while still offering support.

I did not find support helpful.

I have been using UiPath Platform for about five years.

UiPath Platform itself is very stable while the instability lies in the architectures it interacts with, meaning issues can arise from the VMs and networks managed by different teams, yet overall it is very robust and reliable. The underlying infrastructure causes the perception of unreliability, but removing any VM or network issues reveals no significant problems.

UiPath Platform scales very well with our growing needs, particularly with Gen 3 Windows 11 servers, making it much easier to add more instances and resources compared to the previous architecture.

I have used UiPath Platform support before. I did not find them helpful at all. The support team often cannot understand custom automations we've built, which limits their effectiveness; for instance, when I reported a simple issue about elements not being recognized, they responded with "It works on my end," which was not helpful. I would have preferred support to offer a screen share to truly understand my situation rather than leaving me to figure it out alone.

I would rate UiPath Platform support a seven out of ten. The support would be a ten if they were proactive in testing requests on their end and offered follow-up communication, lending customers guidance rather than leaving them isolated.

Positive

We considered UiPath Platform alongside Blue Prism and Automation Anywhere, and we chose UiPath Platform because it seemed more user-friendly and easier to adopt.

When I first started in RPA, we did not fully understand what we were getting into. We had heard of the RPA technology and decided to go with UiPath Platform because it is best in class. Once we began developing our first use cases, the value became clearer, especially related to ROI from saving hours and dollars.

The architecture of the robots themselves was not hard for me to deploy, as I did not focus on that aspect.

From January until last week, we have saved about $650,000 for the firm. That's close to 5,000 hours saved by diving deeper into pulling investment data, which elevated the ROI.

I do not control pricing, setup costs, and licensing of UiPath Platform; that is handled by someone else.

We have not used any other tools, however, we do have Power Automate for small use cases. The right tool for the right process is our approach; however, our major processes are all within UiPath Platform because of its robust capability to log, control, and orchestrate.

I do not yet utilize agentic automation capabilities or agentic AI from UiPath Platform to achieve those, as it's strictly all RPA for now. We are in the process of trying to start developing more agentic, less RPA, and more agent-type workflows. We've been looking forward to having the capability that Maestro offers for case management, which will be a huge game-changer for my firm, as we've been searching for a suitable tool for two years.

Our enterprise firm does not require certification for engineers, however, within our investment side, it's a requirement. I had my advanced developer certification years ago, and all of my engineers have their certified engineer certifications. Anyone joining my team has to go through the academy and prove completion of the certification.

My advice for someone considering UiPath Platform is to clearly understand RPA, agentic work, and assess interoperability with other external systems before choosing a platform, as UiPath Platform typically comes out on top. I'm optimistic about future developments. I appreciate UiPath Platform allowing us to use our own LLMs, so thank you for that flexibility. 

I have rated UiPath Platform ten out of ten.

I have utilized all the spheres and all the domains of UiPath Platform while automating processes in the industries of banking, manufacturing, telecom, and shared services. I have automated processes for each department of these organizations, including finance, accounts, HR, IT, and security.

When automating things, I follow the approach of understanding whether any other more stable, integrated API is available for the system before implementing RPA. I try to implement that first and then incorporate RPA into the improved process. I have done attended automation, unattended automation, and human-assisted automations.

The most attractive feature of UiPath Platform is that it is user-friendly and now it is well accepted and available in all parts of the world. If you want to understand anything, it is not a big deal in comparison to other products. Its usability is quite easy for anyone who does not have technical knowledge but still can use this software based on the business process they know.

UiPath Platform stands out for me because of its usability, its diversification, its integration, and having multiple options for the same thing in different ways. For example, you have the option of sending email not only through Outlook but through multiple options. This diversification sets it out. Additionally, its magnitude allows it to deal with any kind of large process. Recently I completed an automation where there was an invoice with more than a thousand PDF pages, and UiPath Platform was still able to process that invoice, extract the data, and feed it into the ERP system.

UiPath Platform's stability is far better compared to any other RPA product. For scalability, I rate it seven out of ten because it is highly scalable as far as you want, provided a person is willing to spend money on it.

UiPath Platform pricing is high. Whenever an organization tries to opt for UiPath Platform, the real question comes regarding its price. It is too high, and most of the time, business cases fail because of its high price. When utilization is considered, UiPath Platform is far better. Only organizations that have big budgets are able to utilize this project; otherwise, their costs are high.

Pricing can be improved, and one important thing is that if they have designed the product so that the latest versions are available, then they should give a heads up to all their customers that from now onwards, this will be the latest version and the previous version's activities are not supported by us. This way, people can be encouraged to use only the available new activities instead of the older ones.

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

I would give five out of ten. It is mediocre.

A person coming to a meeting to discuss any scenario should not tell us that this is not their domain. Even if that is not their domain, they should take that person with them for the technical support because we are there to ask them instead of just getting the answer that the person is not available and that we can deal with this later. This is not the way.

Additionally, they have increased some prices while providing support. If we have to have a meeting with them, they have started charging for that. I think this is wrong because UiPath Platform is already expensive, and this will increase its cost further.

I used to use UiPath Platform community previously, but after AI-generated tools such as Copilot of Microsoft and ChatGPT, I prefer using these tools because they give an exact answer to your question instead of lingering on multiple things on the internet. I prefer using these tools because even if I want something, it gives me the source, indicating that this is from the source.

Return on investment is all about your planning. If you are planning to get the return on investment, then you have to choose only those cases which will give you a benefit in terms of time-saving. If someone is making a business case of time-saving as well as error handling and critical processes, then return on investment will be very low.

At the initial level, I have selected some five processes and defined the return on investment, which should be properly documented and accepted by the customer. What happens practically the next day when the bot is live is that people say they thought the return on investment could have been ten percent, but practically they are getting one percent. This should not happen. Things should be locked in from the start. If we plan properly, we can definitely get a return on investment of more than thirty percent.

I have used UiPath Platform, Automation Anywhere, and Power Automate of Microsoft.

I would rate Automation Anywhere second because it has improved itself in the past few years. Power Automate is a product which is more focused and related to Microsoft. If an organization is Microsoft-driven, it should use Power Automate, but it cannot handle big magnitudes and complex data. If we talk about diversification, complexity, and variety, UiPath Platform stands out in comparison to any other product. Though it is an expensive one.

UiPath Platform Academy is good and it helps to learn, but honestly, there are some questions in their course whose answers are wrong. For example, I have witnessed that they ask a question in their academy to select multiple answers from the following options. Someone selecting multiple is wrong, but they are telling in their solution that the answer is only one. Similarly, in the previous course, the answer was different and in the next course, the answer was different. They should review their test and exam questions.

For Agentic AI and AI both, I can answer consolidatedly that people want to use it, but people are not sure what they want out of it. For example, IT security is a thing and it has humongous policies in its domain. Whenever I try to ask people to start using Agentic AI in IT security instead of just the lengthy IT security approval process, we can create an agentic bot which can tell that your parameters given for this particular thing are correct or not. If they are correct, simply go ahead. If not, then reject the case. This can increase efficiency. Practically, such cases are not there for people to accept them to automate. The reason being there are two fears: one, people still do not trust AI. Secondly, people still believe that if everything will be automated, what will they do? This is a fear of loss.

One more thing regarding Agentic AI which is very important that we have to tell people and even our customers is that agentic is not a robust and quick solution. To implement a proper solution of AI, whether Agentic AI, Generative AI, end-to-end AI, or any other AI solution, it takes time, sometimes more than a year. People believe that they have invested money on it, so they get the return the next day. This will not happen. This is also important to communicate.

I would rate this review overall at seven out of ten.