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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
662
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)
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 (4th), AI Agent Builders (4th), AI Software Development (8th), 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 Anywhere overall is a great tool for automation, as it provides a lot of flexibility to work with different other applications."
"Using Automation Anywhere saves us time, money, and eliminates errors."
"There are many features of Automation Anywhere that were found to be most valuable like WLM, PDF integration, Advanced Excel Commands, Terminal Emulator and its commands, Interactive Forms building features of A2019 which helped us in developing UI for our front office automation and integrate it with multiple rest APIs."
"Most of the features are valuable."
"Object cloning is one of the main features that are using. We are very happy with it. as It has enabled us to capture a lot of things on screen and use them."
"While RPA is the cutting-edge technology to bring digital transformation, the RPA as a service will reduce costs and increase efficiency with ease of deployment, less maintenance, and cheaper upgrade costs."
"The features that help us satisfy the needs of the customer to overcome mundane activities using task bots and meta bots are the most valuable along with the rich controls in the control room. The developer team is able to capture all the necessary steps without much hassle with the visual designer and the ability to test each step of automation has helped in delivering error-free automation to our customer."
"We have worked with various tools over many years and we believe that Automation Anywhere is one of the most stable platforms."
"It provides the most valuable external analytics."
"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."
"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."
"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 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 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 monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"Vertex comes with inbuilt integration with GCP for data storage."
"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 increased productivity by at least one hundred hours per week for my organization."
"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."
"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform."
"Glean Platform offers excellent user interface design and integration capabilities with other platforms."
"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 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."
 

Cons

"I am looking for artificial intelligence and machine learning. I hope that they introduce them in A2019."
"As a developer or user, I feel that the performance of the overall package could be made a little better or reliable. For example, if I'm opening up a heavy Excel file, which is uploaded in some shared drive over the net, and I have my box coded to open that Excel to do some work or formatting on it, and depending on the network load and the size of the file, this client version while trying to access that file becomes unstable at times. It goes into the hang position until a human being comes in, ends the task, and restarts it. Until this happens, it does not respond."
"Integration with secondary environments needs to be improved or enabled."
"I would like to have the MetaBot screen name title dynamic instead of static."
"I would like more integration with Microsoft Excel. More screenshots that can be integrated with Excel would help our customers too."
"Their license model needs to be improved. The biggest issue for me is that the license is tied to a person, and it is not something that I can pass if I want to use it for the first five hours and pass it on to you for the next five hours and so on. When we automate, the license is tied to me, and if you or somebody else needs to use that license, as a COE administrator, I need to transfer the license from person A to person B. This is something that I have always told them that should not be this way because you want to utilize your licenses effectively."
"The initial deployment and onboarding process was somewhat difficult, but once things stabilized, the experience became excellent."
"The improvements that we could see would be the increased stability of each A2019 releases and reduce the likely impact on existing features. We are also looking to see improvements in the upgrade and bot deployment processes to make them easier and less interaction with back end servers."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"The tool's documentation is not good. It is hard."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"I believe that Vertex AI is a robust platform, but its effectiveness depends significantly on the domain knowledge of the developer using it. While Vertex AI does offer support through the console UI in the Google Cloud environment, it is better suited for technical members who have a deeper understanding of machine learning concepts. The platform may be challenging for business process developers (BPDUs) who lack extensive technical knowledge, as it involves intricate customization and handling numerous parameters. Effectively utilizing Vertex AI requires not only familiarity with machine learning frameworks like TensorFlow or PyTorch but also a proficiency in Python programming. The complexity of these requirements might pose challenges for less technically oriented users, making it crucial to have a solid foundation in both machine learning principles and Python coding to extract the full value from Vertex AI. It would be beneficial to have a streamlined process where we can leverage the capabilities of Vertex AI directly through the BigQuery UI. This could involve functionalities such as creating machine learning models within the BigQuery UI, providing a more user-friendly and integrated experience. This would allow users to access and analyze data from BigQuery while simultaneously utilizing Vertex AI to build machine learning models, fostering a more cohesive and efficient workflow."
"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."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"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."
"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."
"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."
"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."
"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."
"Sometimes Glean Platform gets slowed down."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
 

Pricing and Cost Advice

"Costs savings have been seen by employing bots for multiple shifts instead of people."
"It is fantastic. It has been great. It is perfectly priced for the quality received. When paying for quality, that is exactly what you get."
"It looks like it will be right around $115,000, not counting IQ Bot, which we won't renew until later."
"Our company is investing a lot of money in Automation Anywhere. They have saved money wherever humans are working. They invest a lot of money in FTEs and other logistics, so the money saving is very pretty good with Automation Anywhere. While I don't know the exact figure, the tool is saving us millions of dollars as well as saving about 40,000 hours in the last year."
"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000. That's what deterred us right away."
"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."
"Their overall pricing falls in the middle of the market. Cost-wise, Automation Anywhere is quite expensive because of their analytics, IQ Bots, and MetaBots. For a standalone machine, the pricing is okay. When adding in the licensing for IQ Bots (or MetaBots), it can become quite costly."
"Automation Anywhere is expensive, making it more suitable for enterprise organizations."
"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."
"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"
Information not available
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
Comms Service Provider
9%
Outsourcing Company
10%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
8%
Financial Services Firm
16%
Outsourcing Company
13%
Manufacturing Company
11%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business158
Midsize Enterprise82
Large Enterprise558
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: August 2026.
912,517 professionals have used our research since 2012.