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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

"From the customer's perspective, the biggest benefits are automation of the security and monitoring systems."
"There are multiple levels of cloning. In case screen cloning doesn't work, you can do object-based cloning or keystroke-level cloning, depending upon what parameters are available to you and what is the level of information that you capture. You can traverse between object cloning, which is the lowest form of cloning to a stroke-based cloning, which is like taking care of each keystroke-level which is made by the agent."
"Now, with the help of Automation Anywhere Bot it's being handle automatically, and work that would take one week is now being completed within an hour."
"Automation Co-Pilot helped increase productivity."
"The overall usefulness of Automation Anywhere is the most valuable aspect of the solution."
"The benefits include a reduction in tedious tasks and manual handling of tasks and time savings."
"Since it is based on the cloud, it is a highly scalable product. It is easy to deploy, has a very good UI, and the bots can be easily deployed with no issues."
"This tool provides us with easy accessibility for adopting the new process, as it is more user-friendly, and many new resources are able to grasp the tool and start doing the automation with ease, which is basically missing in the other vendors' tools."
"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."
"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."
"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 integration of AutoML features streamlines our machine-learning workflows."
"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."
"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."
"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."
"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."
"Life became so easy when we started using Glean Platform."
"Productivity has really skyrocketed."
"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 increased productivity by at least one hundred hours per week for my organization."
"I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform."
 

Cons

"Automation Anywhere could improve its integration with Python and other programming languages."
"However, maybe because this is a new version with a change in platform, it still has some bugs."
"AA sometimes poses compatibility problems with new web browser versions like Chrome."
"One of the main concerns with Automation Anywhere is the lack of a robust feature for capturing and managing information from the user interface, something competitors like Blue Prism already offer."
"Although the UI and elements are user-friendly, it is still difficult for business users without experience to understand how to use Automation Anywhere."
"The key area where improvement can happen is understanding the different perspectives and different industries that they're serving in terms of industry-wise use cases."
"In terms of improvements for Automation Anywhere, I would prefer to see more options in packages and pricing, including a breakdown of different features and products, which would allow us to select certain products while potentially skipping others as needed."
"MetaBots and Control Room may have some room for improvement."
"I'm not sure if I have suggestions for improvement."
"Some of the tools should have more advanced settings available. Some are very locked into certain features and settings, and there is no customization."
"I think the technical documentation is not readily available in the tool."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"The solution is stable, but it is quite slow. Maybe my data is too large, but I think that Google could improve Vertex AI's training time."
"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."
"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."
"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."
"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."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."
"There are multiple ways in which Glean Platform can be improved."
"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."
"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."
 

Pricing and Cost Advice

"I would rate the cost of Automation Anywhere as a six out of ten, with ten being the most expensive."
"I advise others that even as of right now, the setup cost and licensing cost to automate bots on Automation Anywhere is steep but it is worth the investment!"
"The pricing is a bit higher."
"I don't deal have cost specifics but I can say it is a tool that provides value for the money."
"If I compare it with Blue Prism, Automation Anywhere is cheaper. Blue Prism is very costly. Automation Anywhere's pricing follows the market, not less and not more."
"I'm not sure what the monthly licensing cost is, as that is taken care of by another team, but I would say it's around $100,000."
"Talk to your manager and try to procure an automation license for training. This will allow you to train people, so you can move to automation."
"The cost can be reduced a little for users."
"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."
"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
11%
Outsourcing Company
10%
Construction Company
10%
Financial Services Firm
9%
Manufacturing Company
9%
Outsourcing Company
8%
Computer Software Company
7%
Financial Services Firm
18%
Manufacturing Company
12%
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.
907,372 professionals have used our research since 2012.