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Gemini Enterprise Agent Platform vs Glean 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
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)
Glean Platform
Average Rating
8.4
Number of Reviews
11
Ranking in other categories
Indexing and Search (2nd), Search as a Service (4th), AI Agent Builders (4th), AI Software Development (14th), AI Customer Support (4th)
 

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.
Ananya Bl - PeerSpot reviewer
Data Analyst at Capgemini
Daily orchestration of complex ai workflows has boosted my research and automation capabilities
Orchestration primarily decides which agent handles which part of a task and manages errors, retries, and complete state while maintaining the workflow effectively. On the orchestration side, branching, looping, and human approvals support non-linear workflows in production environments with real-time access. Through refined and improved prompts, this helps in closing the loop with actual users. One unique feature that stood out is that every step in the workflow can pause or recover from failures. Instead of finishing the entire agent in one go, this approach is interesting because if there is a minor change in a previously completed step regarding the state, I can re-edit and restart from the beginning. This is truly impressive.

Quotes from Members

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

Pros

"For most of the cases that we have worked on, the application has been stable."
"Within less time than it used to take, we can automate a complete Apex task."
"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 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."
"RPA is a feature that really helped eliminate errors during the execution of structured business processes."
"At the most granular level, automating people's daily tasks has been helpful by freeing them up to do higher value-add activities, which is definitely beneficial."
"Because of the presence of Automation, it helped my company deal with banks in this field and to know many important processes in banks and private companies."
"This product makes my life easier."
"Vertex comes with inbuilt integration with GCP for data storage."
"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."
"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"It provides the most valuable external analytics."
"The integration of AutoML features streamlines our machine-learning workflows."
"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."
"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."
"The major impact that I have noticed is how business users are now being impacted and they are using the platform because they understand it easily."
"Life became so easy when we started using Glean Platform."
"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."
"The best features Glean Platform offers are mostly the view, which I think is very good, and what I find most helpful about the view is that the user interface is very good, making it very easy to chat with the chatbot and get all the material that I want in the way that I need it."
"Glean Platform has positively impacted my organization by speeding up a lot of repetitive tasks and making it easier for people outside of support to understand what kind of issues impact the support groups."
"When I searched for internal information spread across different systems, Glean Platform did centralize and retrieve that data for me effectively, giving me eighty percent accuracy."
"Glean Platform has increased productivity by at least one hundred hours per week for my organization."
"Productivity has really skyrocketed."
 

Cons

"We need a better way of getting upgrades or defect fixes. It is creating problems for us, as we have to go for a completely new version. Maintaining and managing existing bots, then coming up with new ones takes a lot of time. We would rather have a batch fix than an installation to an installation."
"The initial cost of Automation Anywhere, including license fees and integration costs, is high. It is challenging for business users to operationalize the tool independently."
"More structured and unstructured data collection will be a challenge. While we have the IQ Bot tool, the success rate at the beginning will be lower. It will be around 20 to 30 percent at the start because you need to train the bot at regular intervals. Of course, this depends on the data. This area could use be improvement."
"I would like to see GitHub or GitLab integration in the next version."
"I would also like to see better communication with their customer success teams. It often takes longer than expected when we submit requests for help or come across a problem we want to resolve. While I can appreciate that it sometimes takes a while to get the appropriate answer, it would be nice to be in constant communication about where they are in the process."
"The error handling command on this solution still needs improvement, especially when compared to other platforms that are doing very well."
"I would like to have a bot as a service platform on AA Cloud. This would minimize the installation process, and we wouldn't need to have all the hardware to support the platform in-house."
"There is a lot of scope for improvement in terms of stability. It is a concern, because right now we are close to 20 to 25 percent false negatives that are coming up."
"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 would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"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."
"I'm not sure if I have suggestions for improvement."
"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."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"Sometimes Glean Platform gets slowed down."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."
"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."
"I chose seven out of ten because if I could upload PDFs and have them analyzed, or have it integrate with my Gmail and help me go through my emails, that would be very useful, but I do not think it does that."
"Glean Platform can implement more models. The NLP creation could be a little faster, and while debugging is amazing, the routing also needs to provide higher quality outputs sometimes rather than extensive searching."
"There are multiple ways in which Glean Platform can be improved."
"My experience with pricing, setup cost, and licensing is that the licenses were expensive, and it was hard to convince the company to adopt based on that."
 

Pricing and Cost Advice

"Because it reduced the time duration of our processes, our costs went down."
"We are a partner of Automation Anywhere and find the pricing to be reasonable."
"The starting price, which is a one-off fee is a bit high and this may deter mid and small-sized companies from acquiring and decide to shun the platform."
"Considering the cost, it is a bit high, but worth the price because the output accuracy is high."
"The product starts at $10,000 and then it's up to you regarding how much you can consume."
"Including the AWS setup and everything per license, it costs us around $10,000 on an annual basis. I believe that is pretty reasonable considering the teams that we have."
"Automation Anywhere is expensive."
"We paid separately for the Runner and Creater components. The final cost depends on the structure of your environment."
"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."
"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
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
19%
Manufacturing Company
13%
Outsourcing Company
9%
Marketing Services Firm
6%
 

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 Business3
Midsize Enterprise1
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 is your experience regarding pricing and costs for Glean Platform?
My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there wa...
What needs improvement with Glean Platform?
I would appreciate a change to the color scheme of Glean Platform as a needed improvement, even if it is something sm...
What is your primary use case for Glean Platform?
My main use case for Glean Platform is general use at an introductory level.
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
Vertex, Google Vertex AI
Glean Work AI Platform
 

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. Glean Platform and other solutions. Updated: April 2026.
899,052 professionals have used our research since 2012.