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Gemini Enterprise Agent Platform vs UiPath Platform comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Apr 23, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automation Anywhere
Sponsored
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
640
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (1st), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
Gemini Enterprise Agent Pla...
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
15
Ranking in other categories
AI Development Platforms (1st), AI Agent Builders (5th)
UiPath Platform
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
921
Ranking in other categories
Robotic Process Automation (RPA) (1st), Agentic Automation (2nd), AI Agent Builders (1st), Business Orchestration and Automation Technologies (2nd), AI Finance & Accounting (2nd)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
Hamada Farag - PeerSpot reviewer
Technology Consultant at Beta Information Technology
Customization and integration empower diverse AI applications
We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.
reviewer2761431 - PeerSpot reviewer
Manager Rpa at a retailer with 10,001+ employees
Significantly reduces manual effort and improves team workflows through automated ticketing
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"We have been able to take resources that have been doing manual work and putting them into more productive work."
"The product is easy to use. It is a good tool for developers and business users."
"The benefits we get from automation include faster and more accurate matching, running 24x7."
"AA provides multiple features such as Windows actions, Database actions, Conditional Actions, Files/Folder Actions, Loop actions, Internet actions, and Clipboard actions. I have used mostly all of these features."
"The initial deployment of Automation Anywhere is user-friendly, the wizards are self-explanatory, it is a very low-code environment that allows flexibility to explore based on the project's complexity, and overall I believe Automation Anywhere is a very user-friendly tool."
"Bot Insights is neatly integrated into the platform, which enables us to develop rapidly and train the learning instances using pre-defined domains over the purchase orders, forms, and invoices that need to be processed."
"When we compare other projects on other platforms versus Automation Anywhere, the technical support we are receiving in terms of efficiency, and even that they are giving us good price, this is what we are looking for."
"From an SAP point of view, we have in-built features. They have integrated everything together, so it's much easier for us to use that."
"The best feature of Google Vertex AI is the ease of use, along with the integration with the rest of the Google ecosystem and the way models can be made available outside Google through endpoints."
"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."
"The most useful function of Google Vertex AI for me is the ease of integration, as we can easily create a prompt and integrate it into our current system."
"The most valuable feature we've found is the model garden, which allows us to deploy and use various models through the provided endpoints easily."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
"It provides the most valuable external analytics."
"We extensively utilize Google Cloud's Vertex AI platform for our machine learning workflows. Specifically, we leverage the IO branch for EDA data in Suresh Live Virtual, employing Forte IT for training machine learning models. The AI model registry in Vertex AI is crucial for cataloging and managing various versions of the models we develop. When it comes to deploying models, we rely on Google Cloud's AI Prediction service, seamlessly integrating it into our workflow for real-time predictions or streaming. For monitoring and tracking the outcomes of model development, we employ Vertex AI Monitoring, ensuring a comprehensive understanding of the model's performance and results. This integrated approach within Vertex AI provides a unified platform for managing, deploying, and monitoring machine learning models efficiently."
"I find the solution easier to use than other platforms and it's a user-friendly way to automate."
"The best thing about UiPath is that it is fairly easy to understand and learn how to use it."
"Ease of deployment means that business benefits can be developed quickly and easily."
"UiPath Academy courses... are our entire training platform. We brought people who are not IT-savvy, complete laymen who were not in IT at all, into our platform of technology. To do that conversion, the Academy had to be very strong."
"It is easy to go to the code level and write automations that only require a couple lines of code."
"This is definitely a solution that I would recommend."
"We saw anywhere from three to five times ROI, based on the business processes that we were able to automate, and its ability to enable the organization to do more with less."
"UiPath saves time both from the perspective of a developer and an end-user."
 

Cons

"The capability of understanding and extracting documents is not very good."
"I would rate Automation Anywhere's support a four out of ten because the support is horrible for all customers."
"The data migration could be better."
"AI would enable improved automation and faster training times that would be reduced from one month to one week."
"Automation Anywhere could use to be more stabilized."
"Unwanted windows are popping up. We have to train a bot to recognize the window if it comes up, know what it is, and click it. If it is interrupting our bot, I just want to avoid that window, because I am getting failed logs."
"They should make the product smarter. The bot we use right now is kind of fundamentally basic loop-based. We really want to see a little bit more advanced capability, that way we can undertake more comprehensive tasks."
"Investment effect is almost none, unfortunately."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"It takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"I think the technical documentation is not readily available in the tool."
"Google Vertex AI is quite complex to navigate and to start services with, as I need to do a lot of iterations to finally activate the services, which is one major flaw, although it is powerful."
"The tool's documentation is not good. It is hard."
"There are definitely some changes I would like to see. I’d like to see, for example, more note code for applications."
"I would like to see more machine learning features and capabilities for more accurate OCR."
"There is significant room for improvement in UiPath Platform, particularly regarding my use cases."
"I want our relationship to be better because of the nature of what we do."
"Processing PDF images with the manual PDF feed does not work very well."
"The Form Builder for back-end robots needs to be a web portal instead of a full desktop application."
"The reporting part of Orchestrator could be improved. For example, UiPath could automatically email us if there are errors. Adding this feature would help us."
"Extending the UiPath studio in terms of UI and functionality would improve this solution."
 

Pricing and Cost Advice

"If you are looking into Automation Anywhere, get the Community Edition and play with it."
"The certifications are free of cost."
"Whatever investment, licensing, and resource costs together are put in for development and delivery, we are still at an ROI of 250 percent."
"We are not receiving the right information about their features, e.g. Automation Anywhere University, or anything that they are selling. They need to improve their documentation."
"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"As far as costs, it depends on your use. We started with a basic department pack, which is over 10K. The additional costs depend on the scale of the engagement and how it pans out. We customize to our needs on the go."
"In terms of pricing, this is a good product."
"It is reasonable, but it can always be a little bit cheaper."
"The solution's pricing is moderate."
"The Versa AI offers attractive pricing. With this pricing structure, I can leverage various opportunities to bring value to my business. It's a positive aspect worth considering."
"The price structure is very clear"
"I think almost every tool offers a decent discount. In terms of credits or other stuff, every cloud provider provides a good number of incentives to onboard new clients."
"The pricing is fine and the features are good. Still, the pricing could be a little lower."
"We got purchased the basic minimum package and it was around $35,000 USD, annually."
"UiPath's licensing could be cheaper and more dynamic. The licensing can sometimes feel high, especially for smaller companies, but generally, the pricing is reasonable when considering the time saved and corresponding costs."
"The licensing costs for the unattended bots are a little too expensive."
"The cost could be lower. The pricing is not transparent, so we don't always know if we really are getting a good price."
"UiPath has a free community version."
"Traditionally, Automation Anywhere and Blue Prism are the biggest things competing against UiPath. Those are usually what most of the clients lean towards, if they see a cheaper licensing option. Clients choose UiPath because it's easier to deploy and learn within their teams."
"They give it away in the community edition for free, so I use it at home."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
11%
Construction Company
11%
Computer Software Company
7%
Financial Services Firm
10%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
Financial Services Firm
12%
Manufacturing Company
11%
Construction Company
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business154
Midsize Enterprise82
Large Enterprise536
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business250
Midsize Enterprise145
Large Enterprise677
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
What is your experience regarding pricing and costs for Google Vertex AI?
I purchased Google Vertex AI directly from Google, as we are a partner of Google. I would rate the pricing for Google...
What needs improvement with Google Vertex AI?
Google Vertex AI is quite complex to navigate and to start services with, as I need to do a lot of iterations to fina...
What is your primary use case for Google Vertex AI?
Google Vertex AI has been utilized for Vertex Pipelines. I have not utilized the pre-trained APIs in Google Vertex AI...
Best RPA tools for IBM iSeries
I can only speak to UiPath since that is the only RPA solution that I have used. I know that there are specific packa...
RPA that Bots can run without centralized control?
Yes, Attended Bots which can run without centralized control Module. RPA Tools like Automation Anywhere, uiPath ,Pow...
How do I choose between UiPath and Microsoft Power Automate?
Microsoft‌ ‌Power‌ ‌Automate‌ ‌is‌ ‌intuitive‌ ‌and‌ ‌easy‌ ‌to‌ ‌integrate‌ ‌and‌ ‌use.‌ ‌I‌ ‌like‌ ‌that‌ ‌there‌ ‌...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
Vertex, Google Vertex AI
UiPath Maestro, UiPath Apps, UiPath Agent Builder
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
1. Accenture 2. Deloitte 3. PwC 4. IBM 5. Capgemini 6. KPMG 7. Ernst & Young 8. Infosys 9. Cognizant 10. Wipro 11. Tata Consultancy Services 12. HCL Technologies 13. Genpact 14. Tech Mahindra 15. DXC Technology 16. Atos 17. NTT Data 18. CGI 19. L&T Infotech 20. Hexaware Technologies 21. Mindtree 22. Mphasis 23. Virtusa 24. Syntel 25. Zensar Technologies 26. WNS Global Services 27. Hexaware Technologies 28. Larsen & Toubro Infotech 29. Persistent Systems 30. QuEST Global 31. Sonata Software 32. Zensar Technologies
Find out what your peers are saying about Gemini Enterprise Agent Platform vs. UiPath Platform and other solutions. Updated: April 2026.
900,644 professionals have used our research since 2012.