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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
663
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 (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
8.6
Number of Reviews
12
Ranking in other categories
Indexing and Search (2nd), Search as a Service (3rd), AI Agent Builders (4th), AI Software Development (10th), AI Customer Support (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.
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.
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

"Automation of such tasks helped in clearing the bandwidth of the users and requestors alike and saved a lot of to and fro just asking for the latest data."
"Automation Anywhere has helped save many man-hours in my organization by letting us automate monotonous and repetitive tasks."
"We are getting some phenomenal straight through processing, so we took what would have taken 30 to 35 people and are able to do that a little bit more accurately with about six."
"We have been able to take resources that have been doing manual work and putting them into more productive work."
"I strongly believe that the UI which we have is a good advantage for Automation Anywhere, as it is easy to understand, so a person who is new to Automation Anywhere can easily understand and start their journey with it."
"For a tool that can be fun to use and make people's job better on day one, that is the most valuable feature."
"Automation Anywhere helped our organization to get our training and implementation needs successful by providing both community edition and partner edition. Automation Anywhere seamlessly handed off exceptions to employees from Automation Anywhere bots."
"When this technology first came to market, I thought it was about robotic things, which we cannot do, however, when I started to learn about Automation Anywhere, it's completely different; it's a user friendly tool with drag and drop commands and a person just needs technical, logical thinking."
"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."
"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."
"It provides the most valuable external analytics."
"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"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."
"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."
"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."
"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."
"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."
"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 positively impacted our organization, especially in terms of productivity for both us and our customers."
"Productivity has really skyrocketed."
"Glean Platform has increased productivity by at least one hundred hours per week for my organization."
"Since I have joined, I have built around ninety agents with Glean Platform, and it has saved our organization around twenty-seven hours a week for each user, and it has also positively impacted our ARR."
"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform."
 

Cons

"IQ Bot should have an easier way to tag the document's source after extracting information from the document. (Which group does the document or a transaction belong to)."
"Automation Anywhere's stability could improve. It isn't completely stable, but it's getting better daily."
"I would like to be able to look at the steps that are completed as a process is running."
"IQ Bot does have some limitations."
"Some of the things I have not appreciated about Automation Anywhere is that when I was setting it up at the beginning, it was a bit complex and it required some technical knowledge for me to set it up; however, there was documentation about its use that helped me in setting it up, but mostly the setup is a bit complex."
"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."
"In the debugging mode, it writes all the logs to text files, but it doesn't ever clean them up. We had one that got to 200K, and it bogged our whole machine down. We couldn't figure out what was going on until we found out that we had a 200K file sitting out there. We would like some sort of maintenance on the log files going forward."
"For my organization specifically, the challenge is with Automation Anywhere upgradation. We have more than 100 bots that were developed five years ago."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"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."
"The tool's documentation is not good. It is hard."
"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 would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"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 think the technical documentation is not readily available in the tool."
"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."
"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."
"In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or something which can configure whether AI should be used in this specific search field or not, or in this specific node or not, because currently it's using AI in all nodes which sometimes messes up the output."
"Also, the latency that the platform offers is a little high right now; what I have noticed is that on a particular query, the user has to wait a long time in order to get responses."
"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."
"Sometimes Glean Platform gets slowed down."
"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."
"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."
 

Pricing and Cost Advice

"Initially, they charged a premium, but now the rest of the vendors have increased their overall pricing and Automation Anywhere is not that high at this time. It's pretty viable."
"We have a few licenses. They cost roughly $10,000 each."
"The pricing strategy for us is one license for development. It is more complicated than that depending on the options you choose."
"I am using that Automation Anywhere Master Certification for version 11. Recently, this has been updated in Automation Anywhere University. Until this month, it's free to use. There are no charges. That's why I would like to complete it this month."
"The cost of Automation Anywhere is high in Turkey due to the weak economy."
"It's somewhat pricier than some of the other tools that we've used, and the breakout between the different applications is also somewhat costly. If they can make it a little more cost-effective or bundle packages a little bit more, that would be beneficial."
"We have saved customers 400% in terms of time saved by implementing this product."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"The solution's pricing is moderate."
"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"
"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
15%
Manufacturing Company
12%
Construction Company
10%
Outsourcing Company
10%
Manufacturing Company
9%
Financial Services Firm
9%
Outsourcing Company
8%
Computer Software Company
7%
Financial Services Firm
18%
Manufacturing Company
13%
Outsourcing Company
10%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business159
Midsize Enterprise81
Large Enterprise554
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?
In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or somethi...
What is your primary use case for Glean Platform?
I use Glean Platform as an enterprise search tool and I am a power user of agents, so I mostly use this on a day-to-d...
 

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
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Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Glean Platform and other solutions. Updated: June 2026.
906,852 professionals have used our research since 2012.