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Clarity SM vs Espressive Barista comparison

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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

Automation Anywhere
Sponsored
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
665
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 (2nd), AI Procurement & Supply Chain (1st)
Clarity SM
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
107
Ranking in other categories
Help Desk Software (17th), IT Service Management (ITSM) (18th)
Espressive Barista
Average Rating
8.8
Reviews Sentiment
7.2
Number of Reviews
9
Ranking in other categories
Help Desk Software (38th), AI-Powered Chatbots (9th), AI-Agents for HR (4th)
 

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.
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

"The most valuable feature of Automation Anywhere is the automation that frees up time for our employees to engage with customers."
"A good example is a process that we automated where, on that specific process, the return on investment is above 30,000 percent."
"I am confident that we are saving several million dollars as a result."
"The best features in Automation Anywhere that I really appreciate are found in the basic module for pure RPA, such as the recorder function, which helps in making automation even easier; no coding is required, you are just doing things, and the recorder records your movements and actions, creating the code out of that."
"The most valuable thing about using this product is that we are able to use the time that we spent doing manual processing for other progressive purposes."
"Our workforce has limited capacity, and by adding this solution we can increase the amount of work coming in without adding to our workforce."
"Automation Anywhere's central command center is good."
"I would rate Automation Anywhere a ten out of ten."
"Before Service Desk, we were kind of flying a bit blind internally, but with it, we're still in the honeymoon phase and it has provided us many, if not all, of the tools that we're looking to use and implement in our system."
"The product is quite stable and highly scalable."
"When we went to the tool that we're now using, SDM, we noticed that the performance was so much more increased than it was in the past."
"The use, from administrative stance, is pretty simple; and even from an analyst and employee's stances. It's an easy to use system, as far as ticketing systems go, because some of them can be really inundating and complex."
"It is a stable and good product, with several integrations and an interesting API."
"Ability to write macros, which can in turn trigger some condition or could be conditioned to basically trigger notifications, the workflow desk, or web calls. It is huge benefit to customize it."
"Self-service interface means people can check their own tickets."
"It gives us one central location to know, not only who is contacting us, but what they're contacting us for, what application they're contacting us for."
"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 bot is pretty easy to update and keep up to date. Espressive itself is pretty easy to work with."
"Our department received about a 70% deflection rate, so that was really great."
"Given Barista's out-of-the-box content for common industry applications, the value is pretty good right from day one."
"Its ability to recognize phrases has gotten smarter over time."
"This is one of the few tools that live up to the sales reps' hype when it comes to integrating with ServiceNow."
"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."
"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"
 

Cons

"Getting buy-in was a major challenge because of the various people not aware of the technologies moving and getting buy-in from top management is a challenge."
"I would like to see more complex use cases coming out for our industry."
"Web automation capability needs to be improved."
"Instead of depending on other open-source BPM products, AA should provide their own BPM for attended automations."
"When we are moving from one version to another version, it's very difficult because most of the features stop working."
"Automation Anywhere has to improve its technical features."
"Many clients use the Citrix environment but AA has very low functionality to automate a Citrix environment."
"They need to make the AA stable across all browsers and I hope to see it fixed in the next version."
"Honestly, I would like to see them really change the UI for the user experience for the Service Management piece, or the Service Desk Manager piece, to match the unified self-service, so it looks more modern and more sleek."
"Ease of support and upgrades need much improvement."
"The SDM administration and customisation needS deep information about architecture and vendor support continuously."
"The Reporting part (Reports Tab) needs to be more robust and made less complex."
"The UI needs to be upgraded."
"UI is not perfect, but maybe with Jaspersoft."
"In some cases, I receive late information."
"More user experience in the look and feel of the application. ​"
"There aren't very many things that this product needs improvement on."
"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."
"The knowledge management could definitely be improved."
"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."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"The reports provided by the solution are not customizable."
"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."
 

Pricing and Cost Advice

"It's an ideal pricing model to customize the components based on everyone's needs."
"The solution is quite expensive. Not every organization can consider this option."
"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"I would like them to have better license management."
"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."
"Automation Anywhere is somewhat expensive. The prices are slightly higher, but if you need something, you must pay for it."
"Automation Anywhere falls within a mid-range price point when compared to other RPA tools on the market."
"The cloud-based version comes at an increased cost, although our clients are happy with the new features and have not complained about the pricing."
"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."
"I don't see anyone other than large companies being able to afford this system."
"The pricing is based on a subscription model."
"Pricing is simple, as it’s per concurrent analysts."
"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."
"It is a bit expensive, but you definitely get what you pay for. It is worth it!"
"I think pricing of this model is suitable for growing corporations."
"The solution is affordable."
"It is expensive. It's not a cheap thing."
"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."
"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
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
12%
Manufacturing Company
11%
Financial Services Firm
21%
Outsourcing Company
16%
Construction Company
10%
Manufacturing Company
9%
Manufacturing Company
15%
Construction Company
9%
Healthcare Company
7%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise86
Large Enterprise562
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise15
Large Enterprise66
By reviewers
Company SizeCount
Small Business3
Large Enterprise7
 

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)
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
 

Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Banco G&T Continental City of Perth, FEMSA, Fujitsu, Manpower, Muslim Commercial Bank - MCB, Punjab National Bank, Santa Clara County Social Services, Stefanini
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Find out what your peers are saying about Clarity SM vs. Espressive Barista and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.