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Kore.ai vs Pipefy comparison

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Executive Summary

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
643
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)
Kore.ai
Average Rating
7.8
Number of Reviews
15
Ranking in other categories
AI Agent Builders (7th), AI Customer Experience Personalization (5th), AI Security (7th), AI Customer Support (2nd), AI IT Support (7th)
Pipefy
Average Rating
7.8
Reviews Sentiment
4.0
Number of Reviews
4
Ranking in other categories
Process Automation (29th), Agentic Automation (11th), AI Agent Builders (13th)
 

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.
Judin Augustin - PeerSpot reviewer
Associate Data Scientist at Guide House
Automation has reduced large call centers and provides real-time outbound support for patients
Kore.ai is a low-code platform, and you do not necessarily have to be an expert in artificial intelligence or generative AI to use this platform. However, if you have that experience, it will be a valuable add-on. The main advantage is that it has almost every kind of plugin available to use, whether for live agents or if you want to use it as a call center. You have real-time capabilities and the most useful plugins available, with almost every kind of model available with configurations. We can configure the ML models and train them. The platform is very user-friendly with explanatory features and a great UI. One significant feature is the live testing platform with Kore.ai. When you are creating a workflow, you have an interactive, real-time testing platform that reflects every change you make. This makes it easy to debug errors or add new features. Additionally, Kore.ai has many different tools and platforms that cater to different needs, whether for a call center, normal workflow, or machine learning workflow, which is really useful. Because of Kore.ai, it was much easier than creating something manually. A low-code platform always helps, and when that platform has this much capability, it provides far more value than manual development. It was particularly helpful for our team that we could create a POC and get that project into production. Kore.ai helped our team build a generative AI outbound calling chatbot, and it truly helped our customers. If you have a hospital with a thousand employees in a call center, you might consider outsourcing. However, with Kore.ai's outbound calling capabilities, you can eliminate the outsourcing part. You do not need a thousand call center employees. You can accomplish this through automation with just one or two employees if people need to switch to agents. This represented a significant cost reduction.
Andre Soares - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"It helps increase productivity by 20% to 30%."
"The immediate impact is administrative tasks which were traditionally done manually are now being done by robots. This reduces the workload for people."
"Automation is going to become a new area we will certainly encourage a lot of people to pursue because of the lasting dividends it provides, including saving time and manpower."
"We have saved time and money using this solution."
"The features that we found most valuable have been just automating manual processes. We are able to integrate and work with applications that users typically work with. That has been the best feature for us right now."
"I like the diversity. Every year, maybe even every six months, new modules are introduced to the program, and module enhancements are added to the toolbox to make automating various applications or situations easier."
"The MetaBots are by far the most effective system within AA. Due to the fact that no scripting is required and only the passing of variables or values to get a definite result. IQ Bot with the ABBY OCR is a powerful component to do multiple extractions in the shortest possible timeframe in comparison to human execution of similarly identified tasks or operations."
"Easy to access: Without the need to download and install software on a local machine, we can access the RPA application from virtually anywhere."
"Compared to other tools, Kore.ai provides a well-organized chatbot experience that others do not offer."
"The positive impacts we have seen include expected reductions in average handle time, which is typically around 40 to 50 percent for any BFSI industry use case."
"Kore.ai has positively impacted my organization, as it saved a lot of time in implementation and the proof of concept was very fast to implement and easy to develop."
"Kore.ai has positively impacted my organization by simplifying the process of responding to emails and streamlining the workflow, saving me considerable time."
"Kore.ai has positively impacted my organization because we are implementors, and I would say that approximately 80% of our income comes from developed projects with Kore.ai."
"Kore.ai has positively impacted my organization by helping us build intelligent chatbots and incorporating voice agents, enabling various clients to adopt these solutions, which have been revolutionary for their businesses."
"It impacted my organization by helping us move into being AI-native, and it helped a lot to show other clients that we have worked in AI."
"Kore.ai has positively impacted my organization by being a big money saver because before having our chatbot, the use case was that every time some of our customers needed help, they used to call a number."
"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."
"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."
"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."
 

Cons

"Intelligent automation is currently a buzz and I would love to see more innovation in this segment."
"The Recorder action in the A2019 Community edition is not supported."
"The dashboard has room for improvement."
"More interactions with PDFs would be great for Automation Anywhere."
"Also, we're seemingly plagued with certain technological issues or bugs."
"Using Automation Anywhere is neither easy nor hard, but against IBM Robotic Process Automation, IBM Robotic Process Automation wins."
"We only faced some problems when integrating it with SAP, and Oracle integration was a bit challenging, especially with Oracle Fusion. We had some issues when we were trying to connect some of the applications on the API level. But, in general, integration using Automation Anywhere is fine."
"The inclusion of word packages would help us to extract data from Word and automate word-related activities easily."
"Customer support is okay, I guess. We get what we want from them whenever there is an issue or something, but sometimes when we had issues, it was delayed a lot."
"I rated Kore.ai an 8 out of 10 because additional features could be added to it."
"One thing I have learned is the unpredictability of LLMs and how buggy Kore.ai is as a software."
"Kore.ai can be improved by enhancing their documentation, which is currently a bit disorganized."
"To improve Kore.ai, I suggest focusing on more agentic automation, such as offering MCP kind of features with an orchestration layer for use cases."
"I would suggest incorporating pre-recorded videos in the tutorials and enhancing the documentation area to make it more user-friendly."
"I choose 7.5 out of 10 for Kore.ai because a few things already need to be improved, one of which I have mentioned."
"In my experience, Kore.ai is not stable."
"Overall, I had a positive experience with Pipefy, but I think there are still some areas that could be improved."
"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."
"What is lacking is direct support, since I am required to go through a third-party outsourcing company to connect with Pipefy."
 

Pricing and Cost Advice

"On a yearly basis, our licensing costs are about $80,000. There are no additional costs beyond the standard licensing fees."
"We have saved time and money using this solution."
"Annual licensing costs would be about $100,000."
"I don't agree with the IQ Bot licensing costs, which depends on the consumption of the document rather than per bot or user. This is confusing for me, because most of the cases for us in a possible future scenario, there would be a lot of invalid data to be scanned to get to real data. E.g., we would have to supply approximately 100 pages of scanned data to extract two pages of original data. In these type of cases, the IQ Bot might be a costly venture."
"Automation Anywhere is costlier than the general competition. That is aligned with the share of the market it has."
"I think the solution's pricing is reasonable."
"Based on what I've heard, it's costly, but I don't know much about its pricing."
"Automation Anywhere's price is considerably better than UiPath's."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Construction Company
12%
Manufacturing Company
12%
Outsourcing Company
9%
Financial Services Firm
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business154
Midsize Enterprise82
Large Enterprise537
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise3
Large Enterprise14
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...
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 Kore.ai?
The experience with pricing, setup cost, and licensing of Kore.ai is that the price is low, and the licensing is also...
What needs improvement with Kore.ai?
I do not have much to add regarding how Kore.ai can be improved since it has been a long time since we last used it. ...
What is your primary use case for Kore.ai?
In my past organization, I used Kore.ai for one of the projects over a period of approximately six to eight months. O...
What needs improvement with Pipefy?
I believe Pipefy can be improved by clarifying the API calls and making packages for API calls more accessible, becau...
What is your primary use case for Pipefy?
My main use case for Pipefy involves creating accounts receivable pipes, splitting tasks among the operations team, a...
What advice do you have for others considering Pipefy?
My advice for others thinking about using Pipefy is to have defined processes, so that the migration is easier before...
 

Comparisons

No data available
 

Also Known As

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

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Leading banks & Enterprise Companies
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 Kore.ai vs. Pipefy and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.