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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
641
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
920
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.
Pethuru Chelliah - PeerSpot reviewer
Chief Architect at a energy/utilities company with 10,001+ employees
Developed and deployed AI agents through a unified platform that supports integration with enterprise systems
We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models. We have to do some fine-tuning, hyperparameter optimization, and other optimizations to enhance the performance of the AI models. We are not fully leveraging the automation being provided by Google Vertex AI for building AI models. Google Vertex AI has to be enhanced to support agentic AI system development. AI agents have to be developed through Google Vertex AI. Additionally, RAG support, vector database support, knowledge graph support, integration with enterprise systems such as ERP, CRM, PLM, MES, and other enterprise systems need improvement. Automated workflow generation and automation could also be enhanced. At this point, we are completely satisfied with the features and functionalities of Google Vertex AI platform, but as we move towards autonomous systems through agentic AI paradigm, Google Vertex AI platform needs to be improved to facilitate agentic AI system design, development, deployment, monitoring, observability, governance, and security.
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 are using it for scripting, and it is end user based with screen captures. It is a bit easier to use than any of the other tools out there."
"It is a great solution."
"An easy to deploy and learn automation tool that can save resources, effort and money."
"I have enjoyed using all the features of this tool, not just one feature, e.g., object cloning, Excel automation, and the web recorder."
"We have definitely experienced an ROI in terms of saving, for example, the costs of service delivery contracts have come down because of our use of automation and it saves me around $100,000 a year."
"Automation Anywhere helped multiple clients to save a lot of data entry time and have automated almost every repetitive task, and AA Control Room helped to manage the operations of both attended and unattended automations and have helped a continuous run of the bots saving hundreds of thousands of dollars."
"We got the solution because of its ease of use with the API call, avoiding the use of developers."
"The most valuable features of this solution are its scalability, security using the credential vault, and ease of use for business."
"The support is perfect and fantastic."
"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."
"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."
"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."
"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."
"With just one single platform, Google Vertex AI platform, we can achieve everything; we need not switch over to multiple tools, multiple platforms, as everything can be accomplished through this one single platform for integration with existing workflows, systems, tools, and databases."
"The integration of AutoML features streamlines our machine-learning workflows."
"The features I have found most valuable in Google Vertex AI are Gemini's large language models, which are currently among the best, and the vision tool of Gemini, which I consider quite good."
"The ROI on all of our RPA use cases is from a throughput perspective, with processing time improvement anywhere between 70 percent faster to 300 to 400 percent faster, and for the right processes even up to 7X to 10X improvement, including a use case that saved a year's worth of FTE time in a month's worth of development, testing, and deployment."
"The gain has been perceptible from the first moment, as human errors have been noticeably reduced to almost zero."
"The most beautiful activity is sentiment analysis, where we can predict the good reviews and the negative reviews."
"if you are a business user, even if you don't have a technical team, you can install the second version of the Community edition, which is StudioX. This is specifically made for business people who don't have a lot of ideas about technicalities. This is a great feature."
"UiPath is the most innovative tool for RPA and pushes innovation a step forward in every upgrade, making every FTE job much easier so that business users feel more comfortable and can focus on more productive work after their process gets automated."
"We have nothing bad to say about UiPath."
"The key benefits are the reduction of the non-litigated tasks for our clients."
"The most valuable feature of UiPath is if you set a form and there's an interaction with the user, it's easy and fast to build than the other RPA tools. Additionally, it is simple to use the connectors."
 

Cons

"In A2019 the dependencies that are being downloaded take a longer time that should be reduced. Migration utility should be provided so we can easily migrate from lower versions to higher versions."
"For someone who does not have technical skills, using Automation Anywhere is quite challenging because it is primarily meant for the technical aspect, though it can help with basic data entry tasks, such as invoice processing and other repetitive back office operations."
"A2019 should have more improvement for developers, as it was in v11.x."
"The local support in Brazil could improve. While it has gotten better in the last few months, we've struggled as a global company trying to contact them sometimes."
"What we currently have with Fortress IQ needs to mature more, and I say this since people spend weeks creating PDDs documentation."
"We have used the technical support. I am quite unhappy with the support part."
"It would be helpful if Device Credentials can sync with Active Directory so that for the IT policy case that requires periodic password resetting, there is no need for a human to input manually into each Bot Runner machine."
"Automation Anywhere can be improved by working on the next step with GenAI process automation and the agents."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"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."
"The tool's documentation is not good. It is hard."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"I'm not sure if I have suggestions for improvement."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"I would like to see higher end AI type features natively in UiPath. Some native integration over time would help."
"My opinion on how UiPath Platform can be improved is that I dislike cloud or web apps in general, so getting all of the cool cloud features for Studio Cloud into Studio Desktop would be my biggest priority, however, that's a personal vendetta against web applications."
"In terms of areas for improvement, UiPath Platform needs to address the high licensing costs in India, making it difficult for small teams to estimate and manage the expenses."
"Some more features for the newly developed mobile version would have a great effect on the future of the product."
"The ability to search for activity lines in your code in the outline view would be great."
"We've had a little bit of back and forth whenever we have an issue and some of the solutions we got back were pretty boilerplate-type answers."
"I could use more standardized features, retail-style, things that I could use off-the-shelf. Right now, all this requires quite a bit of adaptation in bespoke work with UiPath, which they've done very well. But looking at it after having used it, I would get stuff that is prepackaged from them, if they were any."
"I would love to see UiPath create a reporting application that you could deploy on the side and feed data directly into it. That would be an amazing tool to have. Microsoft has this data migration interface, so if you create an automation, it checks everything going into it."
 

Pricing and Cost Advice

"The licensing cost is approximately $4,000 USD, which is a seed license."
"There may be room for the product to be more competitively priced to excel in the market."
"The cost is anywhere between $10,000 and $100,000."
"We have seen about a 10 percent monetary savings."
"There is an annual subscription for Automation Anywhere."
"Its usage is expensive for us because my user base is mostly in Manila and KL. The unit cost of labor is cheaper there than in the U.S. or Australia, which puts a bit more stress on how to get a positive ROI while continuing to use it."
"On average, a bot runner in Automation Anywhere can cost $5,000, while in Microsoft Power Automate, you can get most of the same functionality for $100."
"Roughly, as of today, it is around $250,000 annually."
"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 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"
"The solution's pricing is moderate."
"We are set up for annual licensing and will be taking the time to renew."
"UiPath is expensive."
"Our client saw ROI after one month. They realized after we showed them the first process that three people would be free to do other stuff."
"No matter how much you complain about the price of a SaaS product, it's still cheaper than building your own data center and other infrastructure. That's my perspective as someone who works for a company that does digital transformation. The price is cheaper than building and deploying your own solutions."
"The licensing model could be improved. UiPath charges more if you increase the number of components. It should be included within the premium licensing. We have 100 percent end-to-end automation for some of our processes. However, we're limited by the licensing from fully automating all of them. We can't use all the features."
"One of the downsides to UiPath is the cost of the enterprise version. It is a little bit on the higher side."
"Kapow has dynamic licensing, which is something that we would really like to have, so we could scale up at peak hours or peak times of the month. This is when we really need to throw more robots at some processes. To my knowledge, that is not possible with UiPath at the moment."
"UiPath's cost is a bit high compared to other RPA tools."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Manufacturing Company
10%
Financial Services Firm
10%
Computer Software Company
8%
Comms Service Provider
7%
Financial Services Firm
12%
Manufacturing Company
11%
Construction Company
10%
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: June 2026.
902,495 professionals have used our research since 2012.