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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
661
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

"This solution is easy to use and easy to learn compared to Blue Prism, UiPath, and others."
"We have a lot of clients who use AA bots in their own process. Automated that are automated require less human input. AA bots save lots of time, increase efficiency, deliver accurate output, and provide consistency which improves the overall function of processes in different domains."
"Technical support for this solution is the quickest and the best."
"TestingAnywhere is a scriptless automation tool which is easy to learn and implement, with many effective features such as creating test cases using web recording, object recording, image recognition, Smart recording, or an editor."
"We automated these processes so they will be processed automatically, and users will get the end result for validation—it is basically time-saving for them."
"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."
"The benefits include a reduction in tedious tasks and manual handling of tasks and time savings."
"Automation Anywhere (AA) is really fast on the development side. It's an efficient and intelligent RPA tool, with a good engine and good connectors."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
"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."
"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."
"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 integration of AutoML features streamlines our machine-learning workflows."
"Vertex comes with inbuilt integration with GCP for data storage."
"It provides the most valuable external analytics."
"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this 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."
"Life became so easy when we started using Glean Platform."
"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 best features Glean Platform offers include the ability to create my own agents, for example, I created a self-service agent for my stakeholders, so rather than email me, I sent them a link to an agent where the agent asks them questions and drills down to exactly what they need, and then I get a qualified response from them."
"Glean Platform offers excellent user interface design and integration capabilities with other platforms."
"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."
"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."
 

Cons

"Automation Anywhere has a lot of room for improvement. It is not customer-friendly."
"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."
"There should be a way to avoid recoding everything whenever there's an upgrade to the latest version."
"Anything that can be done to increase the stability from a system standpoint in regards to large-scale systems, which are being used by a number of applications, e.g., Salesforce or Workday."
"Regarding my experience with the pricing, setup cost, and licensing of Automation Anywhere, I have some concerns about the product licensing model."
"It would be great if they provide installation documents that are easier to understand, place more focus on capturing the fields, and most importantly, concentrate more on the OCR capability."
"We had initial hiccups, like any new process. It took us six to eight months to sort the product out."
"Setup and deployment of this product could be difficult for those without experience. These processes should be made easier."
"The tool's documentation is not good. It is hard."
"I think the technical documentation is not readily available in the tool."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"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."
"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."
"There are multiple ways in which Glean Platform can be improved."
"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."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"Sometimes Glean Platform gets slowed down."
"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 is that the licenses were expensive, and it was hard to convince the company to adopt based on that."
 

Pricing and Cost Advice

"The cost is anywhere between $10,000 and $100,000."
"The cost for scalability is much cheaper than developing a new system."
"We have saved customers 400% in terms of time saved by implementing this product."
"The cost of this solution is a little bit high, but it is worth the price."
"We are not receiving the right information about their features, e.g. Automation Anywhere University, or anything that they are selling. They need to improve their documentation."
"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."
"Our costs are approximately between $5,000 to $10,000 per license."
"On a yearly basis, our licensing costs are about $80,000. There are no additional costs beyond the standard licensing fees."
"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 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."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
10%
Comms Service Provider
10%
Outsourcing Company
10%
Financial Services Firm
9%
Manufacturing Company
8%
Comms Service Provider
8%
Financial Services Firm
16%
Outsourcing Company
14%
Manufacturing Company
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
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.
912,930 professionals have used our research since 2012.