No more typing reviews! Try our Samantha, our new voice AI agent.

Azure AI Foundry vs Gemini Enterprise Agent Platform comparison

Sponsored
 

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
637
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)
Azure AI Foundry
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
16
Ranking in other categories
AI Development Platforms (5th), Low-Code Development Platforms (9th), Integration Platform as a Service (iPaaS) (12th), AI Agent Builders (3rd)
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.
Sudhakar Pyndi - PeerSpot reviewer
Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees
Document processing has accelerated contract reviews and enabled rapid development of AI-driven supply chain solutions
With regard to security, compliance, or governance features in Azure AI Foundry, this is something that we have started looking into, primarily using Microsoft Purview for our governance, data governance. There is this new module called DSPM for AI, and we are exploring it while trying to operationalize it with different policies and so forth, but we're still not where we want to be on the governance, AI governance side. It's a process and a path, and we are trying to work through that right now. Azure AI Foundry can be improved from the governance perspective, as a lot can be done. The promising part is the recent announcement on the Foundry control plane. A couple of days back, there was an announcement regarding it bringing in some of the gaps that were on the platform, so it's a really positive direction in terms of where it's going. More governance is what is lacking, but the control plane will really play a big role there.
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

"Automation Anywhere has helped in automating business processes for simple to complex business cases and also helped in understanding, learning, and discovering new automation ideas."
"Simply tagging variables used in the bot, can provide automated real-time dashboards that are presentable to management showing them a complete view of how the bots are performing."
"It's very easy to use. It helps streamline manual processes."
"It saves time. It has saved 4,000 to 5,000 hours for one large complex process."
"We have saved 60 to 70 percent on operations."
"I love the Bot Store. I encourage a lot of my staff to use it, because it changes the game and the time that it takes to build automation. It has a lot of reusable things that you can use off the bat."
"The data capture feature is very valuable. I know there are also some elements where you have to be able to incorporate AI, but I haven't gotten to that level yet."
"It most benefitted us in converting daily routine tasks into automated processes at minimal cost with available infrastructure."
"The most beneficial feature for enhancing our customer experience is that it is easy to use for them and for us to implement."
"What I appreciate most about Azure AI Foundry is that for a single agent flow, the platform provides the ability to build agents quickly, which demonstrates the ease of use for a single agent workflow."
"The features of Azure AI Foundry that I appreciate the most include the containment of all the agents and the ability to see all agents in a single dashboard and to have access to all of them from one portal."
"The most beneficial feature of Azure AI Foundry for enhancing customer experience is the ability to use Azure Functions to call things outside of Azure AI Foundry, making it more comprehensive as a feature."
"With Document Intelligence, we just went through Foundry, enabled Document Intelligence, and we were able to get everything done in less than 90 days for the complete end-to-end solution we built on that."
"Having Azure AI Foundry as a tool has benefited our organization significantly because our team has five data scientists, and this type of tool makes everything much faster."
"Azure AI Foundry has helped me reduce the time taken for AI app and agent development significantly because it takes over a lot of the infrastructure work of connecting to these models."
"In my evaluation process, I found that Microsoft Azure AI Foundry is much more accessible compared to AWS on model selection and the capabilities of using Document Intelligence versus Textract were much better."
"Vertex comes with inbuilt integration with GCP for data storage."
"It provides the most valuable external analytics."
"The support is perfect and fantastic."
"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 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."
"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."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
 

Cons

"We have found that the passwords are not very stable in terms of their accuracy. We could only get 70 percent accuracy in these cases. Our clients require more accurate results. We are working toward this."
"There are occasional bugs in the system but technical support is quick to address them and deliver solutions, patches, and upgrades."
"I would like more with OCR and data capture. We are partnering with IBM to help bridge this gap, but Automation Anywhere should continue to expand on their product line and provide these capabilities, as well."
"I have seen that the South American support is not as good as it should be."
"While the ease of use for non-tech users is good, it could be improved."
"I attended and successfully completed the certification for the Document Automation Masterclass. For this, we tried to automate handwritten documents, but it was not successful. I believe there is room for improvement. This was the only use case we had in the last couple of months where we attempted this and did not get the desired results."
"We have some ERPs tools which are not compatible with Automation Anywhere because they are legacy systems. We find that Automation Anywhere does not work with these at times. Just enabling the usability of Automation Anywhere on some of these legacy ERPs would help us, as we struggle regularly with this issue."
"The IQ Bot could use improvement."
"My experience with deploying Azure AI Foundry is that, at this point in time, given the limited capabilities available in Foundry, we built pro-code agents, hosted them, containerized them, and deployed them."
"Azure AI Foundry can be improved by adding educational features."
"Azure AI Foundry could be improved with better integration within all the other tools from Microsoft."
"I would appreciate it if Microsoft could improve Azure AI Foundry by releasing new features immediately because sometimes we have to wait for weeks or months to use them."
"Even though I have only been utilizing Azure AI Foundry for the past four months, I think the understanding between Copilot Studio and Azure AI Foundry is still somewhat unclear regarding which one to use when and why, and how they complement each other is a journey we are currently undertaking."
"For Azure AI Foundry, there is no actual clear pricing structure, which can be confusing for customers to understand, as every feature that you activate has its own price, and it is not very clear sometimes to define the pricing."
"Right now, because of the UI and the complexity of it, it is complicated and cumbersome, and I think figuring out how to simplify that would probably make it a faster process."
"I find that the online documentation can sometimes be confusing, requiring extensive searching through multiple articles to locate specific information."
"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."
"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."
"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."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"I'm not sure if I have suggestions for improvement."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"I think the technical documentation is not readily available in the tool."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
 

Pricing and Cost Advice

"Our pricing a year ago was $600 per license."
"We generally follow the Gain-Sharing Pricing model, which enables the customer to start getting the RPA benefits right from day one of their implementation."
"Licensing costs range from $50,000 to $200,000."
"We have seen a return of investment because it takes less time to market in our current process. I would estimate a times savings between 20 to 30 percent."
"The cloud-based version comes at an increased cost, although our clients are happy with the new features and have not complained about the pricing."
"Cost-wise, it is fine. A lot of medium businesses prefer Automation Anywhere. The development cost is also lower."
"The pricing of AA is similar to UiPath."
"Its price is competitive with all other products in the market."
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 solution's pricing is moderate."
"The price structure is very clear"
"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."
report
Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
899,258 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
11%
Computer Software Company
7%
Financial Services Firm
13%
Outsourcing Company
13%
Manufacturing Company
11%
Retailer
8%
Manufacturing Company
10%
Financial Services Firm
10%
Computer Software Company
8%
Comms Service Provider
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 Business2
Midsize Enterprise2
Large Enterprise14
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 is your experience regarding pricing and costs for Azure AI Foundry?
I would need to ask my technical team about my experience with the pricing, setup costs, and licensing.
What needs improvement with Azure AI Foundry?
The platform's effect on my management of privacy, performance, and compliance across different regions is quite comp...
What is your primary use case for Azure AI Foundry?
My main use cases for Azure AI Foundry include deploying AI applications to perform document comparison, translation ...
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 Azure AI Foundry vs. Gemini Enterprise Agent Platform and other solutions. Updated: May 2026.
899,258 professionals have used our research since 2012.