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Gemini Enterprise Agent Platform vs Microsoft Copilot Studio 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
636
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)
Microsoft Copilot Studio
Average Rating
7.8
Number of Reviews
5
Ranking in other categories
Chatbot Development Platforms (3rd), AI Agent Builders (6th), Business Orchestration and Automation Technologies (27th)
 

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.
Shrikant Pillay. - PeerSpot reviewer
Architect at kyndryl
Has helped automate repetitive tasks and streamline content summarization across teams
For analytics, I prefer using the Power BI platform instead of Microsoft Copilot Studio. When it comes to analytics, though it gives the right insight, the visuals are not of great quality, or sometimes they don't appear at all. For instance, when creating charts of sales on a quarter-on-quarter basis or month-on-month basis in a bar graph or pie chart, Microsoft Copilot Studio doesn't perform adequately. Anything requiring image creation or graphs and plots is not optimal. The graphing features are missing in Microsoft Copilot Studio. Although image creation is available, it lags at times, similar to any other LLM module. When creating content based on graphs or CIO presentations, these features are not developed to a great extent.

Quotes from Members

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

Pros

"We have some bots which are saving a week or month of multiple employees' times."
"It improved the task performance at a team level and improved productivity."
"With RPA, specifically with Automation Anywhere, it has really helped us engage with those clients and achieve the results that they want."
"It increased productivity; it raised the productivity percentage of individuals 20 to 35%, and we also saw cost reduction."
"The development of the company from Automation Anywhere V11 to a2019 was valuable. I found many important and new features, like changing the way we write code and programming. It became much easier and very flexible in version 2019A. It became very easy to use and the recording was also good. Excel became very good too."
"This product has helped us a lot by improving and growing the business in different domains."
"Overall, I would rate Automation Anywhere a nine out of ten."
"We have a plethora of good use cases saving good, hard dollars."
"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."
"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
"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 integration of AutoML features streamlines our machine-learning workflows."
"The support is perfect and fantastic."
"Microsoft Copilot Studio has helped enhance my development process quite a lot."
"Starting with Microsoft Copilot Studio for product projects, especially for POC and MVP, accelerates the creation and demonstration to clients, helping them interact with and understand the solution before discussing further improvements."
"The integration part in Microsoft Copilot Studio is something I really appreciate because it's very easy to integrate with anything, and the main reason we chose this Studio is its simplicity in developing and building workflows and interconnecting things, especially when it comes to public cloud; life is quite easy."
"We have achieved approximately 60 to 70% productivity gain using Microsoft Copilot Studio."
"The use case involves intelligent code assistance, UI, UX, and integration parts."
 

Cons

"The Help menu/description can be provided while hovering over actions so that it can help us better to know them."
"Autosuggestion of existing use cases based on the problem statement could use improvement."
"We had had issues with scalability. Recently, we had a use case which we were working on, but we could not do it because Automation Anywhere could not connect to the system."
"There is room for improvement in the stability of this product."
"Automation Anywhere could be improved by staying more current with Microsoft products through packages."
"I believe Automation Anywhere needs to improve on product quality. Sometimes it has intermittent issues."
"The analytical dashboard in the Control Room could use some improvement."
"They need to improve the REST Api documentation because it is not well detailed or clear enough for beginners, and they need to provide some out-of-the-box AI and ML functions such as image classification and object identification."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"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."
"I've noticed that using chat activity often presents a broader range of options and insights for a well-constructed question. Improving the knowledge base could be a key aspect for enhancement—expanding the information sources to enhance the generation process."
"I believe that Vertex AI is a robust platform, but its effectiveness depends significantly on the domain knowledge of the developer using it. While Vertex AI does offer support through the console UI in the Google Cloud environment, it is better suited for technical members who have a deeper understanding of machine learning concepts. The platform may be challenging for business process developers (BPDUs) who lack extensive technical knowledge, as it involves intricate customization and handling numerous parameters. Effectively utilizing Vertex AI requires not only familiarity with machine learning frameworks like TensorFlow or PyTorch but also a proficiency in Python programming. The complexity of these requirements might pose challenges for less technically oriented users, making it crucial to have a solid foundation in both machine learning principles and Python coding to extract the full value from Vertex AI. It would be beneficial to have a streamlined process where we can leverage the capabilities of Vertex AI directly through the BigQuery UI. This could involve functionalities such as creating machine learning models within the BigQuery UI, providing a more user-friendly and integrated experience. This would allow users to access and analyze data from BigQuery while simultaneously utilizing Vertex AI to build machine learning models, fostering a more cohesive and efficient workflow."
"The solution is stable, but it is quite slow. Maybe my data is too large, but I think that Google could improve Vertex AI's training time."
"I feel that the pricing and licensing methods of Microsoft Copilot Studio are not very conducive."
"The price for Microsoft Copilot Studio can definitely be improved, as small organizations find it very difficult to manage the subscription."
"For analytics, I prefer using the Power BI platform instead of Microsoft Copilot Studio."
"While Microsoft Copilot Studio can create documents and add information, it does not do so accurately, and this is an area that needs improvement."
 

Pricing and Cost Advice

"I don't know exactly what the pricing schemes are for the product as this type of negotiation is not my responsibility, but I think the basic pricing comes to $15,000."
"More than 40 to 50 percent of the IT budget will be for the cost of automation projects in the coming years since these projects enhance operations add value."
"We have saved time and money using this solution."
"In terms of pricing, it's not at all cheap, and that's a concern. The licensing cost is very high. While I don't know the exact prices of other tools, Microsoft offers the lowest pricing for its RPA platform compared to UiPath and Automation Anywhere."
"On a scale of one to ten with ten being the most expensive, I rate the price of Automation Anywhere an eight out of ten."
"If we talk about the automation RPA. it definitely has worked very well for us. I'm talking about giving good savings, about more than 180 FTE savings, after implementing more than 200 plus bots. It has worked well. As an organization, it has supported us very well, and also for our customers."
"The product starts at $10,000 and then it's up to you regarding how much you can consume."
"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."
"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 solution's pricing is moderate."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
10%
Computer Software Company
7%
Manufacturing Company
10%
Financial Services Firm
10%
Computer Software Company
8%
Comms Service Provider
7%
Financial Services Firm
16%
Manufacturing Company
15%
Healthcare Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business152
Midsize Enterprise82
Large Enterprise535
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business1
Large Enterprise9
 

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...
What needs improvement with Microsoft Copilot Studio?
While Microsoft Copilot Studio can create documents and add information, it does not do so accurately, and this is an...
What is your primary use case for Microsoft Copilot Studio?
Microsoft Copilot Studio is implemented for different scenarios, including straightforward and common scenarios. Howe...
What advice do you have for others considering Microsoft Copilot Studio?
The predictive analytics features in Microsoft Copilot Studio are rated at the highest level because there is the abi...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
Vertex, Google Vertex AI
No data available
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
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Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Microsoft Copilot Studio and other solutions. Updated: April 2026.
899,052 professionals have used our research since 2012.