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Espressive Barista vs Kayako comparison

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Comparison Buyer's Guide

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
660
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)
Espressive Barista
Average Rating
8.8
Reviews Sentiment
7.2
Number of Reviews
9
Ranking in other categories
Help Desk Software (39th), AI-Powered Chatbots (9th), AI-Agents for HR (3rd)
Kayako
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
1
Ranking in other categories
Help Desk Software (52nd), Shared Inbox (11th)
 

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.
Jim Lobao - PeerSpot reviewer
Senior Manager for End User Support Services at Five9
Has helped enhance our support ability, reduced our resolution time, and reduced our service desk costs
Espressive Barista's natural language processing and conventional AI still have room for improvement. We haven't yet found anything that resembles true AI that can learn autonomously without human intervention. However, Barista does help us identify and address some of these areas, allowing my team to step in and create intents and responses to questions. When a user asks a question that Barista doesn't immediately understand, we can recognize the pattern, capture it, and link it to a common intent. This is highly beneficial for acquiring such data, but it's a reactive approach and still requires curation. Natural language processing still has some way to go. One of our challenges is that our internal employees haven't yet adopted a natural way of interacting with Barista. Getting people to be concise and to the point, rather than being verbose as if they were interacting with a human, has been an ongoing challenge. While they may feel comfortable being conversational in Slack, expecting a human-like response, Barista is a different entity. Barista isn't interested in their recent vacation; it just wants to know they're locked out of their account. So, some users may assume Barista understands their intent when they say, "I'm back from vacation and locked out of my account." Barista, however, may interpret this as a request for the holiday schedule. Therefore, we're gradually educating our users to adapt their communication style for better success with Barista. Conversely, we desire Barista to adapt its behavior based on the interaction, the language used, and the way people communicate. I wholeheartedly desire an AI that can continuously learn and adapt to our organization's evolving needs. This is the most challenging aspect, as it involves understanding our organization's terminology, procedures, and toolsets. We've made significant progress in this area. However, from an NLP standpoint, we still face challenges with our nearly 3,000 Slack channel users, each with their unique communication styles. People ask questions in various ways, and sometimes there are misunderstandings. They want to interact with us naturally. However, we still struggle with natural language processing. People don't always realize that the bot is a virtual agent designed to be concise and efficient. Sometimes, less is more. It's been a difficult transition for people to grasp that they're conversing with a virtual agent, not a human. They still expect human-like interactions, such as discussing their weekend or holidays or simply pasting screenshots of errors. However, the bot can't interpret screenshots. If they provide the error code and some context about the application, the bot can better understand the issue. So, the key challenge is bridging the gap between human expectations and the bot's capabilities in terms of natural interaction.
reviewer1712472 - PeerSpot reviewer
Operations and Support Manager at a consultancy with 501-1,000 employees
Flexible, straightforward implementation, and helpful support
We are in the process of switching from Kayako to ManageEngine Desktop Central. We went through a full review of our service desk processing and one of the solutions we purchased was a ManageEngine Desktop Central. When we were looking at the integrations into the Kayako system and how it works, we found that ManageEngine Desktop Central did very similar things. It had better layers of classification, other templating, and additional features that we did not have with Kayako. Our service manager made the decision to switch at that time. My advice to others wanting to implement Kayako would be for them to plan out their service processes first, prior to trying to implement them in the tool. We made the mistake of jumping in too soon back 10 years ago. I started using it in a way that we could have tooled it in a different way to make it better. We could have had more implementation process information to make sure we received what we wanted to out of the solution. I rate Kayako an eight out of ten.

Quotes from Members

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

Pros

"This solution is easy to use and easy to learn compared to Blue Prism, UiPath, and others."
"We can do automation for some complex issues."
"AA has improved our organization in a positive manner."
"I strongly recommend Automation Anywhere as a compelling platform for RPA needs."
"IQ Bots are extremely powerful. We are using them increasingly more where we're about to look through a lot unstructured sources, like PDF documents, scanned images, contracts, etc. We are able to take the data out, then use that toward processing structured data and creating insights for our clients."
"No review content was provided."
"It is an easy product. It is easier and less complex than any other RPA tool in the market. It is a popular product."
"We have worked with various tools over many years and we believe that Automation Anywhere is one of the most stable platforms."
"Its ability to recognize phrases has gotten smarter over time."
"I like Expressive Barista's integration with Microsoft Teams."
"Our developers have used the Barista Control Center to extend the platform by adding content, and they've found it fairly easy to do and manage"
"The solution is available to support us instantly as required."
"The bot is pretty easy to update and keep up to date. Espressive itself is pretty easy to work with."
"Given the out of the box content for common industry applications, we got good value out of the solution right from day one."
"With respect to its natural language processing capabilities, it recognizes things that you wouldn't think it would recognize. Even in cases where it doesn't, it's pretty easy to go in and make the adjustments that are needed."
"The most valuable feature is its scalability."
"The most valuable feature of Kayako is its flexibility, as we can do anything we want with it, which is nice."
 

Cons

"Automation Anywhere could improve by better integrating with DevOps. Currently, it cannot be integrated 100% with DevOps methodology, which many companies are requiring."
"I have found that Automation Anywhere is prone to bugs in handling Excel. It breaks and gives vague error messages. I have had a lot of experience with that and learned that it is better to write a Python script instead of using Automation Anywhere's package when dealing with Excel because it is buggy and tends to break, unfortunately."
"I would like to see them continue building out documentation with more video-aides."
"They should do more on the cognitive side."
"The first version would double our cost."
"The support and user community need improvement. For example, it would be nice to have a place for those who create bots to have a place to share information and success stories."
"Currently, there are some vulnerabilities in security that need attention in Automation Anywhere."
"The scalability of Automation Anywhere's cloud version is excellent, but the on-premise version is a waste of time and money."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"The reports provided by the solution are not customizable."
"I would like to see the continued expansion of all of the automation capabilities."
"What would make things easier is more detail, out of the box, about what is helping out of the box. We're struggling a little bit to get that data. We want more information about what Barista has brought in that the employees are using, out of the box. We want more visibility into the things that we ourselves haven't done the interaction for."
"The knowledge management could definitely be improved."
"My only comment would be if they wanted to use this as an IT service management tool, maybe they could think about Barista making tickets and having change management and problem management capabilities."
"Although they've done some work on their metrics dashboard, there is some fine-tuning to do for people that just want to go in there at a glance and see their metrics."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"Some of the reporting in Kayako could be improved. It only has two levels of classification and if there were additional levels added for reporting purposes it would be awesome for our environment."
 

Pricing and Cost Advice

"Currently, it stands as one of the more expensive RPA tools available."
"It is affordable for us."
"The licensing cost is approximately $4,000 USD, which is a seed license."
"The current pricing for Automation Anywhere seems a little higher compared to competitors Power Automate or UiPath. Automation Anywhere is perceived as pricey due to the support model charges ranging from 20% to 30% based on the plans."
"They're very flexible around pricing and licensing."
"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 price of Automation Anywhere a six out of ten, with ten being the most expensive."
"This is a comprehensive automation offering with a scalable architecture and flexible pricing models."
"It is expensive. It's not a cheap thing."
"The price for the licensing is fair."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"The pricing isn't overly burdensome. It's going to be interesting to see how new models come in with new capabilities but, as it is, as a base system, it's pretty good."
"The solution is affordable."
"Kayako is a highly affordable solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
Manufacturing Company
15%
Construction Company
9%
Healthcare Company
7%
Financial Services Firm
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
By reviewers
Company SizeCount
Small Business3
Large Enterprise7
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.
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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
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Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Toshiba Canada, Disney, Avast, Namecheap, Texas Tech University
Find out what your peers are saying about ServiceNow, Atlassian, Zendesk and others in Help Desk Software. Updated: August 2026.
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