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Gemini Enterprise Agent Platform vs Pipefy 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
6.8
Number of Reviews
666
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)
Pipefy
Average Rating
8.4
Reviews Sentiment
5.3
Number of Reviews
24
Ranking in other categories
Process Automation (9th), Agentic Automation (5th), AI Agent Builders (9th)
 

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.
Tamires dos Santos Andrade - PeerSpot reviewer
PMO Manager at a financial services firm with 10,001+ employees
Workflow automation has transformed portfolio control and centralizes cross‑department requests
Something I would like to see improved in Pipefy is the dashboards. They are good, but they are a little limited. This point is important, and I would also like to see a bit more clarity in the use of AI tokens. Pipefy already offers connection and artificial intelligence tools that help you with your forms and make the process much more intuitive, but it is still a bit obscure regarding consumption, how that consumption occurs, and how to build this in a way that is relatively economical. Another important thing is related to cost. Pipefy's license cost is a high cost compared to other players in the market, but so far it has been worth it. Another thing I would suggest is if they had a white-label option where we could put a bit more of the company's identity. Pipefy already is white label, but the customization options are a little more limited. Turning that into a more attractive page would be nice for some companies so that we can incorporate it into our portals.

Quotes from Members

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

Pros

"The bot creation process is easy, manageable, and everything is well-organized for a developer. Everything is centralized."
"We are using all of the features and all are important and valuable but the automation and flexibility are the things which make the product work as a solution for us."
"We've saved a lot of time. How much time we save depends on the process. It's likely at least 50%. Sometimes, it's up to 70%."
"It's very easy for business users to learn Automation Anywhere."
"The OCR application is excellent and has helped resolve many issues that I had been facing."
"The ease of use for the end user and the very low complexity in trying to build a bot are the big factors for us."
"The code, once developed, is pretty stable."
"Automation Anywhere has saved us a lot of time, money & efforts by automating our ServiceNow tickets."
"The support is perfect and fantastic."
"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."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
"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."
"Vertex comes with inbuilt integration with GCP for data storage."
"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."
"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 valuable feature we've found is the model garden, which allows us to deploy and use various models through the provided endpoints easily."
"The specific positive outcome I noticed after using Pipefy is that the visual infrastructure makes the operationalization process easier with the teams."
"My advice to other people who are thinking about using Pipefy is that it is a great tool to use in daily work, giving visibility of all the necessary information needed."
"Certainly, there has been measurable improvement with Pipefy, such as an increase in productivity due to no longer performing so much manual work."
"Pipefy makes it easier to organize clients, demands, and other elements to optimize processes."
"Pipefy has had a positive impact on my organization by helping the collections team convert invoices that were overdue into paid invoices and, consequently, cash for the company."
"Pipefy has impacted my organization positively as we have not reduced our headcount, but we could if we wanted to because the number of people managing those processes before Pipefy was a lot."
"Throughout the whole time I used Pipefy, I liked it a lot, it is very practical and very fast, and I never had problems."
"The way Pipefy has had a positive impact on my organization is that the major positive impact was being able to visualize the project as a whole, not only at the micro level, but also at the macro level."
 

Cons

"When working with Excel, unlike other tools such as UiPath, Automation Anywhere does not have the standard variables for .Net data types."
"As a business user, I would like to have a feature wherein the bot is run on demand, whenever an email with a specific keyword or whenever a specific pers sends an email to the bot's email address."
"Automation Anywhere can be improved by working on the next step with GenAI process automation and the agents."
"When we are moving from one version to another version, it's very difficult because most of the features stop working."
"The Control room audit logs should be moved to an archive for those that are more than six months old."
"The optical character recognition of various documents and templates, particularly when using the Arabic language, has room for improvement."
"Automation Anywhere lacks a desktop version and is solely web-based and cloud-based. Automation Anywhere is not so easy for business users who are not technical."
"Not all data is good quality. This presents a challenge for automation, which is important."
"I'm not sure if I have suggestions for improvement."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."
"Some of the tools should have more advanced settings available. Some are very locked into certain features and settings, and there is no customization."
"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."
"I think the technical documentation is not readily available in the tool."
"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."
"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."
"Pipefy can be improved with processes not only following Kanban styles but other kinds of processes that have more paths, not just a single, direct path, but they have bifurcations."
"A potential improvement would be for Pipefy to send a message when something takes, for example, four days with nothing happening or it is still waiting for an answer or needs approval."
"What is lacking is direct support, since I am required to go through a third-party outsourcing company to connect with Pipefy."
"Pipefy can be improved by creating a more complete integration with WhatsApp."
"In other departments, I had the opportunity to observe that there was a high volume of cards and many phases, so navigation got a bit slow and even required excessive scrolling to locate them."
"I believe Pipefy can be improved by clarifying the API calls and making packages for API calls more accessible, because in my organization we have a lot of automation, but we have few API calls, precisely because we have a fixed plan and the organization, in fact, does not need that."
"Sometimes there are errors such as outages or instabilities in Pipefy. Sometimes I have to log in two to three times a day."
"Pipefy's license cost is a high cost compared to other players in the market, but so far it has been worth it."
 

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 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 price of this product is good."
"Based on what I've heard, it's costly, but I don't know much about its pricing."
"Automation Anywhere is somewhat expensive. The prices are slightly higher, but if you need something, you must pay for it."
"There is an annual license to use the solution."
"The licensing cost is approximately $4,000 USD, which is a seed license."
"It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable."
"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 solution's pricing is moderate."
"The price structure is very clear"
Information not available
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
11%
Comms Service Provider
11%
Outsourcing Company
11%
Manufacturing Company
9%
Financial Services Firm
9%
Comms Service Provider
8%
Manufacturing Company
23%
Construction Company
16%
Outsourcing Company
13%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise85
Large Enterprise561
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise1
Large Enterprise13
 

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 needs improvement with Pipefy?
I have been making adjustments daily. At this specific moment, leadership is still looking for ways to optimize it mu...
What is your primary use case for Pipefy?
At KPMG, I used Pipefy mainly for handling support and requests. I handled job and project tickets for partners and m...
What advice do you have for others considering Pipefy?
The control aspect of Pipefy for leadership also helps so that we do not get lost, because since there is a very high...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
Vertex, Google Vertex AI
No data available
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
1. Accenture 2. Coca-Cola 3. Santander 4. IBM 5. Unilever 6. Siemens 7. Johnson & Johnson 8. Deloitte 9. PwC 10. Nestle 11. General Electric 12. Microsoft 13. Oracle 14. Amazon 15. Facebook 16. Google 17. Apple 18. Uber 19. Airbnb 20. Netflix 21. Adobe 22. Salesforce 23. Cisco 24. Intel 25. HP 26. Samsung 27. Sony 28. Toyota 29. Volkswagen 30. BMW 31. Mercedes-Benz 32. Audi
Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Pipefy and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.