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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
662
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 (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (2nd), 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 (22nd)
 

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.
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 been able to reduce the amount of repetitive tasks completed by operations, allowing individuals to move onto tasks which cannot yet be automated."
"With Discovery Bot, we can even have our business people enabled with process finding and do an evaluation on whether it can be converted into an opportunity."
"What I appreciate the most about Automation Anywhere is that the tool is very robust."
"Even as we were getting into RPA for the first time, I found it easy to understand this tool."
"My company uses AA extensively for internal BPO work as well as we refer and deploy it to the customer as a RPaaS model, helping increase productivity, reduce overall operational costs, and deliver fewer errors while proving to be a reliable workhorse during the COVID situation."
"My impression of the impact on visibility in the automation lifecycle is that we help to standardize the process and become more productive in those activities and visibility."
"The bot creation process is simple and useful. Whatever you need to do, it is there. If there is something else, there are the MetaBot functions."
"Document automation has notably reduced manual effort."
"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 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."
"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."
"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."
"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"The integration of AutoML features streamlines our machine-learning workflows."
"The most valuable features of the solution are that it is quite flexible, and some of the services are almost low-code, with no-code services, so it gives agents flexibility to build the use cases according to the operational needs."
"Vertex comes with inbuilt integration with GCP for data storage."
"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."
"Microsoft Copilot Studio has helped enhance my development process quite a lot."
"The use case involves intelligent code assistance, UI, UX, and integration parts."
 

Cons

"For smaller teams and during the onboarding, it takes a little while to figure out how to make things work."
"We experienced continuous bot disconnections in our environment."
"There's potential for Automation Anywhere to integrate conversational types of tools and AI into their tool set, which would be really valuable."
"We have done some automation of incoming documents, but it has been somewhat hard."
"One aspect I don't appreciate about Automation Anywhere is the way variables are handled. Many things seem to become a string, which makes it hard to code and keep track of items when everything's a string."
"To improve the product, one aspect that Automation Anywhere can work on is archiving legacy data effectively. Currently, data older than current versions remains on the server, slowing the system down."
"Setup and deployment of this product could be difficult for those without experience. These processes should be made easier."
"We have a new feature share in Automation Anywhere, but it does not migrate automatically from the previous version to the new one."
"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."
"Google can improve Google Vertex AI in terms of analysis and accuracy. When passing a very large context, instead of receiving vague responses, it would be better if the system could prompt users not to pass overly large prompts and provide clearer guidance on how to fine-tune Gemini for specific use cases."
"I'm not sure if I have suggestions for improvement."
"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."
"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."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"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."
"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."
"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."
"The price for Microsoft Copilot Studio can definitely be improved, as small organizations find it very difficult to manage the subscription."
"I feel that the pricing and licensing methods of Microsoft Copilot Studio are not very conducive."
 

Pricing and Cost Advice

"As our team size increases, we may get some more licenses for the tool."
"We have a three-year contract with Automation Anywhere."
"Our annual licensing costs are around $100,000 a year."
"When I started working on it, it was difficult to obtain a trial version (barrier to entry). Now, they have a Community Edition, which may make it easy to get started."
"The pricing is a bit higher."
"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000. That's what deterred us right away."
"We save approximately 10,000 hours per year."
"The price of this product is good."
"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."
"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."
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
Comms Service Provider
9%
Outsourcing Company
10%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
8%
Financial Services Firm
17%
Manufacturing Company
13%
Healthcare Company
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business158
Midsize Enterprise82
Large Enterprise558
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
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Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Microsoft Copilot Studio and other solutions. Updated: August 2026.
912,517 professionals have used our research since 2012.