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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
6.8
Number of Reviews
665
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)
AutoGen
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
AI Agent Builders (11th)
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.
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.

Quotes from Members

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

Pros

"The integration is helpful. We have quite a few use cases where we've integrated with Microsoft tools and local record systems, such as SAP and Vertex AI."
"Automation Anywhere's most valuable feature is its seamless integration into procurement software, allowing for the automation of purchase orders, billing, employee travel details, and other tasks."
"With automation, you can reduce that effort to half an hour or an hour, so it will improve your efficiency and save you a lot of time, so you can improve your time in other work."
"When anybody talks about Robotic Process Automation, Automation Anywhere is the first thing that comes to my mind."
"With its user-friendly user interface, our developers are able to quickly pick it up."
"What I appreciate the most about Automation Anywhere is how easy it is to use."
"One of the most valuable features is the different possibilities it gives you to manipulate the interface screens that you're working with."
"We simply train the Bot by uploading sample files, and it then begins classifying, processing, and extracting the data within a short span of time."
"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 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 integration of AutoML features streamlines our machine-learning workflows."
"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."
"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 an out-of-the-box and very easy-to-use solution."
"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."
"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."
 

Cons

"We need a native way in Automation Anywhere's framework to tie all that information together, including AI dashboard, governance dashboards, and document automation results."
"I would like OCR for video and text using the IQ Bot. It should also be available in an email tag format."
"Sometimes, in Automation Anywhere, the recording process takes longer when capturing tasks on websites or applications, and there can be internal errors."
"There is a limitation with Automation Anywhere where if you want to build your own packages and deploy them, it is very difficult."
"For me at the very beginning when I started working with that, the technical setup was extremely complicated and extremely problematic, and we spent half a year to really make the software work."
"Currently, while working on the SAP part, I encounter some challenges, particularly not being able to extract the tree structure."
"Automation Anywhere has a lot of room for improvement. It is not customer-friendly."
"I would like to see extensive OCR capabilities in the next release."
"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 think the technical documentation is not readily available in the tool."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"Some of the tools should have more advanced settings available. Some are very locked into certain features and settings, and there is no customization."
"The tool's documentation is not good. It is hard."
"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."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"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."
 

Pricing and Cost Advice

"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"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."
"It depends. For example, for my group, we are centralizing the infrastructure in Paris. Our contract is signed with Automation Anywhere in France. The currency and the pricing of Automation Anywhere in France can appear beneficial and interesting for Germany and Scandinavian countries, but when we share our infra and are internally charging other countries such as Poland, Brazil, or some other country with a lower currency value as compared to Euro, it becomes less beneficial. They would prefer to sign the contract directly with Automation Anywhere because they will benefit from a price that is as per their local market."
"We have seen ROI on one of the process, but not on the other processes yet."
"The setup cost for this is onetime and licensing is based on your choice of product."
"The price is very reasonable."
"The solution itself is free unless we want to add the support option but we have to pay for the bots we use."
"We were required to purchase licenses and bot runners, which determined the permissible run times for the bots."
Information not available
"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."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
12%
Manufacturing Company
11%
No data available
Outsourcing Company
11%
Manufacturing Company
9%
Financial Services Firm
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise86
Large Enterprise561
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
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Find out what your peers are saying about UiPath, n8n.io, Microsoft and others in AI Agent Builders. Updated: October 2026.
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