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 #13 with an average rating of 8.0. 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: May 2026).

Buyer's Guide

Gemini Enterprise Agent Platform vs. Pipefy

May 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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Hamada Farag

Technology Consultant at Beta Information Technology

Customization and integration empower diverse AI applications

We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.

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Andre Soares

Sre at Atlas Technologies

Workflow automation has improved cross‑team collaboration and centralizes operational requests

Overall, I had a positive experience with Pipefy, but I think there are still some areas that could be improved. One area would be advanced workflow management and scalability for more complex enterprise environments. As workflows grow larger and involve many teams, pipelines and automations can become difficult to maintain and organize over time. I also think reports and analytics could be more flexible and customizable for operational and management level insights. More advanced dashboard capabilities would be helpful for larger organizations. Another improvement could be deeper native integrations with technical and DevOps-oriented tools, especially for infrastructure and engineering workflows. In some cases, more advanced automation logic or conditional workflows require additional configurations or effort. Simplifying this experience could improve usability. Finally, while the platform is very useful and user-friendly for non-technical users, governance and permission management in larger environments could become easier to structure and manage at scale.

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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, our clients can get their work done fast and in an automated manner."

"Automation of such tasks helped in clearing the bandwidth of the users and requestors alike and saved a lot of to and fro just asking for the latest data."

"Automation Anywhere has save us more than $40,000 in the past year."

"We used to do many daily routine checks and jobs. We have implemented the automation knowledge which resulted in good productivity, time-saving, and extra efforts being reduced."

"The solution helps with reducing operational costs, which can be reduced by up to 30% to 40% in savings in terms of operational cost."

"The impact of Automation Anywhere on our organization has been significant; it has helped us save a considerable amount of time, approximately 30% to 40%, in repetitive processes and has improved automation accuracy."

"Workbench, which is a development tool, is very friendly. It is complete. Compared to Power Automate, Automation Anywhere is much more comprehensive and easy to understand."

"We have saved around 90% of the time that would be required to perform tasks manually."

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 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."

"Vertex comes with inbuilt integration with GCP for data storage."

"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."

"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."

"It provides the most valuable external analytics."

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

More Gemini Enterprise Agent Platform pros

"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."

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

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

"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."

Cons

"I would like to have a command that allows me to add code, like C#. As a developer, this would be helpful."

"With the PDF command, you can only read structured data. If your data is in an unstructured format, there is no command for it in Automation Anywhere. Then, people need to use Python coding if their data is in unstructured format. Therefore, Automation Anywhere needs to improve in the PDF area."

"We encountered issues during the upgrade of the framework."

"I would like to have the MetaBot screen name title dynamic instead of static."

"Logging into Automation Anywhere takes some time. I use it frequently, and each login currently takes some time. A reduction in this time would be helpful."

"They could improve the learning curve."

"We would like Automation Anywhere to have a way to run a capacity check on machines and show us what is available."

"Initially, the implementation was tough."

More Automation Anywhere cons

"I'm not sure if I have suggestions for improvement."

"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."

"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."

"I think the technical documentation is not readily available in the tool."

"The tool's documentation is not good. It is hard."

"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."

"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."

"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."

More Gemini Enterprise Agent Platform cons

"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."

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

"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."

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

Pricing and Cost Advice

"If it is saving FTE and Generating a good ROI then it is Worth Investing."

"It is subscription-based. They have different schemes. The price depends on how you negotiate with the local partner or local representative in your country."

"I would rate the cost of Automation Anywhere as a six out of ten, with ten being the most expensive."

"Automation Anywhere is competitive... Pega is somewhat comparable, but Pega also requires a lot more infrastructure and a lot more experience to get up and running."

"Automation Anywhere is costlier than the general competition. That is aligned with the share of the market it has."

"The pricing and licensing of Automation Anywhere plays an important rule in the Indian market because in the Indian market $10,000 USD is too much. Hence, the pricing tends to go down depending on the customer relationship with the partner: A starter pack is $10,000 and an enterprise pack is $100,000. If you go through an implementation partner, you can get good deals. They can save some money."

"Overall, the pricing of Automation Anywhere is good."

"Yearly, our licensing costs are about $90,000 to $100,000. There will be additional licensing costs when we add more Bot Runners to our infrastructure."

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 solution's pricing is moderate."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

11%

Construction Company

Computer Software Company

Financial Services Firm

10%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	150
Midsize Enterprise	82
Large Enterprise	534

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

No data available

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.

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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...

See all answers

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...

See all answers

What needs improvement with Pipefy?

Pipefy can be improved with processes not only following Kanban styles but other kinds of processes that have more pa...

See all answers

What is your primary use case for Pipefy?

My main use case for Pipefy is to manage processes and to follow processes with Kanban style management and for some ...

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What advice do you have for others considering Pipefy?

My advice for others looking into using Pipefy is to first describe the process and the improvements in the process b...

See all answers

Comparisons

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Compared 13% of the time

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WorkFusion vs Automation Anywhere

Compared 2% of the time

AutomationEdge vs Automation Anywhere

Compared 2% of the time

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Compared 8% of the time

Amazon Bedrock vs Gemini Enterprise Agent Platform

Compared 5% of the time

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No data available

Product Reports

Buyer's Guide

Automation Anywhere

May 2026

Download Automation Anywhere product report

Buyer's Guide

Gemini Enterprise Agent Platform

May 2026

Download Gemini Enterprise Agent Platform product report

Buyer's Guide

Process Automation

May 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

May 2026

Free Report: Gemini Enterprise Agent Platform vs. Pipefy

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