Gemini Enterprise Agent Platform vs Pipefy comparison

Google and Pipefy are both solutions in the AI Agent Builders category. Google is ranked #5 with an average rating of 8.1, while Pipefy is ranked #8 with an average rating of 8.7. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of Pipefy users who would recommend it.

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Executive SummaryUpdated on Apr 23, 2026

Gemini Enterprise Agent Platform and Pipefy are competing products in the process automation segment. Pipefy generally has the upper hand due to its comprehensive feature set, although Gemini stands out in customer support and pricing.

Features: Gemini Enterprise Agent Platform emphasizes AI-driven automation and analytics with robust integration capabilities. It also offers specialized automation tools for specific business needs. Pipefy focuses on process management with customizable templates and workflow automation, providing enhanced flexibility for a broader audience.

Ease of Deployment and Customer Service: Gemini Enterprise Agent Platform offers rapid deployment with excellent customer support, ensuring seamless onboarding. Pipefy offers straightforward deployment with accessible resources, though it lacks the personalized service found in Gemini.

Pricing and ROI: Gemini Enterprise Agent Platform has competitive pricing with high ROI through efficiency and reduced resource consumption. Pipefy, on the other hand, requires a higher initial setup cost, but provides significant ROI through its feature-rich offering.

To learn more, read our detailed Gemini Enterprise Agent Platform vs. Pipefy Report (Updated: June 2026).

Buyer's Guide

Gemini Enterprise Agent Platform vs. Pipefy

June 2026

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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

Featured Reviews

Venkat Sivaprakash

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.

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Pethuru Chelliah

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.

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Patel Dhulva

Software Firmware Engineer at Kohler Co.

Streamlined workflows have automated tasks and supported real-time collaboration on projects

I consider Pipefy's mobile app to be one of the best features because it helps me use it on the go, and I do not have to miss any notifications. I also love the real-time communication between team members, which makes collaboration much easier than using traditional design documents. It has a very intuitive and user-friendly interface where it was easy to get started and use complex features without feeling overwhelmed. The real-time communication and mobile app features are valuable for my work because with Pipefy's mobile app, I can use it on the go, so I do not have to miss anything.

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Quotes from Members

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

Pros

"With Automation Anywhere bots, we are able to cut down the manual efforts by 80% in generating Excel and Power BI reports, extracting and uploading files to various sites, and many other web-based administrative tasks."

"The efficiency we get with Automation Anywhere is valuable."

"Learning Automation Anywhere prepares our students for a better future because the future belongs to RPA Automation."

"All the data that comes in has to be QC'd, and Automation Anywhere helps us by automating the QC part."

"Our first automation removed manual work from employees, so they are now able to more quickly product quality work."

"AA has improved our digital strategy extensively and provided the required leverage to place ourselves above other peers in the O&G Industry. We were able to develop quick digital solutions by demonstrating the ROI and gain momentum by aligning the desired resources & budget from leadership."

"When considering all the facts, this is one of the most user-friendly RPA tools that I have worked with."

"Having no restriction for any single programming language is very useful."

More Automation Anywhere pros

"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 support is perfect and fantastic."

"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."

"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 integration of AutoML features streamlines our machine-learning workflows."

"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 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."

More Gemini Enterprise Agent Platform pros

"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."

"In terms of money and time saved, Pipefy is a great time saver overall, reflecting in analysts handling additional projects beyond ticket management."

"Since using Pipefy, I estimate that we have saved 50% in time and costs."

"Overall, Pipefy helped create more predictable, organized, and scalable operational processes."

"Pipefy is extremely customizable to any process with some incredible automations that helped to reduce our workload."

"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."

Cons

"It is frustrating at times to experience this instability, but we do find a solution and we are working on it to be better."

"Productivity increased when we implemented Automation Anywhere, but it did not meet the client's expectations regarding the number of human workers it replaced."

"Improvement areas will be there for everybody. I think one area which I would like to see improvement is in IQ Bot. Maybe it has improved a lot in version 11 X but I think that that's one area which definitely scope to improve."

"Automation Anywhere can also be improved in machine learning and artificial intelligence. It would make our lives easier."

"Not all data is good quality. This presents a challenge for automation, which is important."

"I believe Automation Anywhere can be improved by leading in the direction of seamless integration with the LLM models that are readily available today in the market."

"In the Microsoft Excel features, it needs a command to wait for a calculation to complete."

"The Web Recorder should also include a feature where the user can select what browser you want it to run since it is currently using the Internet Explorer browser as default. Some of our web-based systems are currently not compatible with Internet Explorer and can only run using Firefox or Google Chrome."

More Automation Anywhere cons

"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."

"Some of the tools should have more advanced settings available. Some are very locked into certain features and settings, and there is no customization."

"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."

"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."

"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 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."

"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 good in machine learning and AI, but it lacks optimization."

More Gemini Enterprise Agent Platform cons

"Everything is great, but I find that sometimes the server seems very slow on busy days."

"Overall, I had a positive experience with Pipefy, but I think there are still some areas that could be improved."

"What is lacking is direct support, since I am required to go through a third-party outsourcing company to connect with Pipefy."

"Although Pipefy is a great platform, I find that there are certain areas where it could be improved, especially the registration process, which leaves a lot to be desired as its complexity makes the entire sign-up process time-consuming and cumbersome."

"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."

"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."

Pricing and Cost Advice

"Their licensing processes are in par with most industry standards."

"I think it's $5,500 per license."

"Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. It has to be completely dedicated. Then there are the network bandwidth requirements and space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too."

"Whatever investment, licensing, and resource costs together are put in for development and delivery, we are still at an ROI of 250 percent."

"It is expensive. I would rate Automation Anywhere an eight out of ten in terms of pricing."

"The licensing cost could be improved. It costs a lot. At the very least, the developer licenses and the control panels should be made free to enterprises, and the production environment licensed."

"I don't know exactly what the pricing schemes are for the product as this type of negotiation is not my responsibility, but I think the basic pricing comes to $15,000."

"Licensing costs range from $50,000 to $200,000."

More Automation Anywhere pricing and cost advice

"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."

"The solution's pricing is moderate."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Construction Company

11%

Manufacturing Company

11%

Outsourcing Company

10%

Financial Services Firm

Outsourcing Company

Manufacturing Company

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	157
Midsize Enterprise	81
Large Enterprise	558

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	4

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...

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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...

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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.

See all answers

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...

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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...

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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...

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What needs improvement with Pipefy?

I think it would be beneficial to see a free demo before purchasing Pipefy. Additionally, the tutorial could always b...

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What is your primary use case for Pipefy?

Pipefy is one of the crucial and very beneficial tools that we use in my organization that has greatly simplified all...

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What advice do you have for others considering Pipefy?

My advice to others looking into using Pipefy is that for business process management where you need to deploy quickl...

See all answers

Comparisons

UiPath Platform vs Automation Anywhere

Compared 12% of the time

Microsoft Power Automate vs Automation Anywhere

Compared 9% of the time

Blue Prism vs Automation Anywhere

Compared 6% of the time

AutomationEdge vs Automation Anywhere

Compared 2% of the time

WorkFusion vs Automation Anywhere

Compared 2% of the time

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Azure OpenAI vs Gemini Enterprise Agent Platform

Compared 28% of the time

Microsoft Foundry vs Gemini Enterprise Agent Platform

Compared 9% of the time

Microsoft Azure Machine Learning Studio vs Gemini Enterprise Agent Platform

Compared 7% of the time

Amazon Bedrock vs Gemini Enterprise Agent Platform

Compared 4% of the time

Amazon SageMaker vs Gemini Enterprise Agent Platform

Compared 4% of the time

More Gemini Enterprise Agent Platform Competitors

No data available

Product Reports

Buyer's Guide

Automation Anywhere

August 2026

Download Automation Anywhere product report

Buyer's Guide

Gemini Enterprise Agent Platform

August 2026

Download Gemini Enterprise Agent Platform product report

Buyer's Guide

Pipefy

July 2026

Download Pipefy product report

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

Automation Anywhere

Demo not available

Google

Demo not available

Pipefy

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

Gemini Enterprise Agent Platform offers advanced AI capabilities with large language and vision models, a seamless Google ecosystem integration, and low-code/no-code options, enhancing AI agent development, deployment, and monitoring.

Gemini Enterprise Agent Platform empowers businesses with its comprehensive AI development environment, focusing on generative and agentic AI applications. It streamlines tasks like chatbots, document summarization, and data workflows integration. Despite its complexity and high cost, it offers advantages in feature centralization, end-to-end integration, external analytics, and multi-model capabilities. Challenges include navigation issues, setup complexity, and documentation accessibility. Users wish for improved model efficiency, system integration, customer support, and a more user-friendly experience for non-technical users. The platform's potential in optimizing machine learning modules and managing fintech tasks makes it valuable for organizations seeking robust AI model management.

What are Gemini Enterprise Agent Platform's Key Features?

Large Language and Vision Models: Enhance AI capabilities across diverse applications.
Google Ecosystem Integration: Seamlessly integrates within Google's platforms.
Feature Store: Centralizes features for better team communication and model management.
Low-Code/No-Code Options: Facilitates AI development with minimal coding.
End-to-End Integration: Offers comprehensive tools for agent deployment and monitoring.

What Benefits and ROI Should Users Look For?

Feature Centralization: Streamlines communication and coordination across teams.
Integration Ease: Simple integration with existing systems enhances operational efficiency.
AI Optimization: Improves machine learning modules, reducing costs and boosting efficiency.
Advanced Language Analytics: Enables better data insights via keyword detection and document processing.

Gemini Enterprise Agent Platform finds application in industries focusing on generative AI and agentic tasks. Businesses use it for chatbots, document summarization, and fintech-related tasks, benefiting from its capabilities in handling large documents, keyword detection, and language analytics. Its ease of integration with current systems is a significant advantage for many organizations.

Google

Pipefy is a powerful workflow management tool that streamlines and automates processes. It effectively manages tasks, projects, and approvals, while offering flexibility and customization options.

With its user-friendly interface, customizable workflows, and automation capabilities, Pipefy saves time and improves collaboration. Integration options with other tools further enhance data management and collaboration.

Pipefy

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

Buyer's Guide

Gemini Enterprise Agent Platform vs. Pipefy

June 2026

Free Report: Gemini Enterprise Agent Platform vs. Pipefy

Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Pipefy and other solutions. Updated: June 2026.

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