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AutoGen vs Gemini Enterprise Agent 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
633
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)
AutoGen
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
AI Agent Builders (9th)
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)
 

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.
Marián Lojka - PeerSpot reviewer
Sr. Manager, Data Architect Accenture Technology at Accenture
Framework has streamlined multi-agent monitoring and now delivers clear, actionable log insights
I appreciate the AutoGen Studio team builder, which is good, but it could be even better. I do not understand the versioning from Microsoft; the version is 0.4, which has been available since February 2025. There are already multiple platforms on the internet for creating AI agent systems, and I think AutoGen is not as mature as it could be. The challenges that other customers might encounter while setting up this solution include understanding how the framework works. The documentation is somewhat available, but it is not perfect, and there are not many running examples because it is new. There is no community yet, so you might be dealing with issues specific to how to use the framework properly to achieve the desired outcomes.
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.

Quotes from Members

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

Pros

"The core functionality, the ability to automate these tasks and to interact, both with our own in-house software solutions as well as with our customers' and vendors' solutions and portals, has been incredibly valuable for us."
"We have seen AA bringing immense value to the clients once operational."
"Automation Anywhere's support has been great since we signed up for gold support last year."
"This product has helped us a lot by improving and growing the business in different domains."
"This RPA solution really stands out because of its functionality, scalability, and stability, offers very good technical support, and is always innovating with new features that speak to various operational use cases."
"The saving of efforts within my project has been to the tune of 20% as of now and I am sure that it will improve as we explore the tool more and automate many more processes."
"At run time, Automation Anywhere can let you know which line of code the bot is running and what it is doing. It is very clear."
"Automation Anywhere is a valuable tool, as a developer I can do whatever I want: if I want to do automation with the web, Windows, mainframe, or SAP applications, we can do whatever we want with automations using Automation Anywhere."
"The features contributing most to operational efficiency with AutoGen are part of the framework that allows you to create AI agents in an accelerated way and the communication between those agents in the same manner."
"The support is perfect and fantastic."
"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."
"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 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 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 AI possesses multiple libraries, so it eliminates the need for extensive coding."
 

Cons

"We do not have a precise area that needs improvement, but sometimes while running bots that traverse through different websites, the screen hangs or takes time to fully load."
"It would be great if they could do more third-party Salesforce integrations into the RPA side, which would be helpful."
"When dealing with a large number of variables, uploading them directly from an Excel sheet to Automation Anywhere is not supported."
"AA has many features but the issue is with the loss of overhead on computing resources. For example, if the bot is encrypted, the bot should decrypt it first then act accordingly. If there are issues with the logic in the bot, there will be a lot of computer memory overload. There should be an additional feature for cloud functionality."
"We would like to have more ease of use for the operations team."
"Automation Anywhere risks falling behind by focusing solely on Robotic Process Automation when competitors offer more versatile and adaptable solutions that integrate AI for a more intelligent automation experience."
"Because I am using an older version, I am rating the scalability as a seven out of 10. I feel a lack of convenience when I try to scale it."
"Intelligent automation is currently a buzz and I would love to see more innovation in this segment."
"I do not understand the versioning from Microsoft; the version is 0.4, which has been available since February 2025. There are already multiple platforms on the internet for creating AI agent systems, and I think AutoGen is not as mature as it could be."
"I'm not sure if I have suggestions for improvement."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"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."
"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'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 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."
 

Pricing and Cost Advice

"The setup cost depends on multiple factors, so you need to get details before choosing."
"Our advice is that anybody interested in this product should negotiate product bundles in order to reduce the cost of installation and setup."
"The pricing is a bit higher."
"The licensing fees are approximately $10,000 USD for between five and ten users."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable."
"The licensing cost is approximately $4,000 USD, which is a seed license."
"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."
Information not available
"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
Financial Services Firm
17%
Manufacturing Company
9%
Construction Company
8%
Computer Software Company
8%
No data available
Financial Services Firm
10%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business150
Midsize Enterprise82
Large Enterprise532
No data available
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
 

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 needs improvement with AutoGen?
I appreciate the AutoGen Studio team builder, which is good, but it could be even better. I do not understand the ver...
What is your primary use case for AutoGen?
My use cases for AutoGen involve using it as the framework for building agentic AI systems. AutoGen is a framework fo...
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...
 

Also Known As

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

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Information Not Available
Find out what your peers are saying about UiPath, n8n.io, Microsoft and others in AI Agent Builders. Updated: May 2026.
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