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Clarity SM vs Espressive Barista comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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

Clarity SM
Ranking in Help Desk Software
25th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
107
Ranking in other categories
IT Service Management (ITSM) (23rd)
Espressive Barista
Ranking in Help Desk Software
33rd
Average Rating
8.8
Reviews Sentiment
7.2
Number of Reviews
9
Ranking in other categories
AI-Powered Chatbots (8th), AI-Agents for HR (3rd)
 

Mindshare comparison

As of January 2026, in the Help Desk Software category, the mindshare of Clarity SM is 1.4%, up from 1.1% compared to the previous year. The mindshare of Espressive Barista is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Help Desk Software Market Share Distribution
ProductMarket Share (%)
Clarity SM1.4%
Espressive Barista0.8%
Other97.8%
Help Desk Software
 

Featured Reviews

Türker Kara - PeerSpot reviewer
Application & Software Architect at Turkiye Finans Participation Bank
Quite good back-end architecture for end users but the API is very, very bad
Our company uses the solution for system, program, service request, change, and knowledge-based management.  We perform CMD authorizations and use a lot of integrations for our in-house or third-party applications. We also use Salesforce automations and Microsoft orchestrations.  We have about…
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.

Quotes from Members

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

Pros

"As of late, I really like the BI functions."
"It helps when you have an incident or performing a problem change management process."
"The new xFlow interface that was introduced for Level 1 analysts really helps the them to achieve the best and fastest result for their users/customers."
"It has all our configurations. All our infrastructure configurations are on a single pane of glass to view, allowing for one single point of information."
"The fact that it aligns very well with ITIL. I think that's probably one of my favorite things about it, because it's following up a general best practice for service management."
"You can customize it and make it work to the client's needs."
"Being able to specify event rules and SLAs that can help to automate some of the processes that people are doing manually is valuable."
"It's fairly easy to use, from a UI standpoint."
"When it comes to neutral language processing and conversational AI, it's very good, very solid... We all have different ways of speaking or writing in English and the application does a very solid job of recognizing what's being asked regardless of how it's being asked."
"Its ability to recognize phrases has gotten smarter over time."
"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."
"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."
"We have the ability to alter phrases, create new phrases, or enhance phrases, or change paths. From the dashboard, we are able to get a lot of information we need about what people are asking, where they are dropping off from conversations, and where they do not get the information they need."
"The most valuable feature is its scalability."
"I like Expressive Barista's integration with Microsoft Teams."
 

Cons

"I would like to see the API cleaned up."
"The monitoring tool is in need of improvement."
"Report solutions are a little short."
"It doesn't yet have the ability to integrate with other products."
"More user experience in the look and feel of the application. ​"
"There are some issues regarding the knowledge base and the configuration manager."
"The interface is pretty straightforward, but I think for some end-users a little more simplified user interface would help."
"Needs custom dashboards, without them it takes too long to view some information (though xFlow is an improvement)."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"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."
"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."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"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."
"Expressive Barista could improve by adding native integration with WhatsApp, one of the top communication channels in South Africa. When we're trying to sell Barista to customers, we have to tell them that the solution doesn't have out-of-the-box support for WhatsApp. We can develop it, but then we need to have a conversation about how much that will cost."
"I would like to see the continued expansion of all of the automation capabilities."
"The knowledge management could definitely be improved."
 

Pricing and Cost Advice

"It is a bit expensive, but you definitely get what you pay for. It is worth it!"
"The pricing is based on a subscription model."
"I think pricing of this model is suitable for growing corporations."
"Clarity offers a perpetual license. Customers purchase the license once and then pay for maintenance. CA provides a subscription model as well. Both models are available for our customers."
"I don't see anyone other than large companies being able to afford this system."
"The solution is quite reasonable compared to other solutions in the market."
"There is a subscripted needed to use Clarity SM. The price of the solution could be less expensive. ServiceNow is less expensive and BMC Helix is priced similar to Clarity SM."
"Pricing is simple, as it’s per concurrent analysts."
"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."
"It is expensive. It's not a cheap thing."
"The solution is affordable."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"The price for the licensing is fair."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Media Company
10%
Performing Arts
10%
Manufacturing Company
8%
Computer Software Company
26%
Retailer
10%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise15
Large Enterprise66
By reviewers
Company SizeCount
Small Business3
Large Enterprise6
 

Also Known As

CA Service Desk Manager, Clarity Service Management, CA Service Management, Unicenter Service Desk, CA SDM, CA Service Catalog, CA Business Service Insight
No data available
 

Overview

 

Sample Customers

Banco G&T Continental City of Perth, FEMSA, Fujitsu, Manpower, Muslim Commercial Bank - MCB, Punjab National Bank, Santa Clara County Social Services, Stefanini
Information Not Available
Find out what your peers are saying about Clarity SM vs. Espressive Barista and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.