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Espressive Barista vs Hornbill Systems Supportworks 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
6.9
Number of Reviews
661
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 (38th), AI-Powered Chatbots (9th), AI-Agents for HR (2nd)
Hornbill Systems Supportworks
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Help Desk Software (34th), IT Service Management (ITSM) (32nd)
 

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.
it_user1262703 - PeerSpot reviewer
Service Desk Team Leader at a healthcare company with 5,001-10,000 employees
Excels in call logging and call flows but is limited in terms of scalability
I'd advise others to map their processes out before starting with the solution. Hornbill has recently generated a new version of its product and it meets some of the requirements that we would have been looking for. It's a bit more scalable, a bit more responsive to a customer-focused model for support, and they've improved a lot of things like process flow and self-service. In terms of rating the solution, it's difficult to grade. It really depends on the size of the organization that's trying to use it as that tool. One of the reasons why we're looking to shift is because we've grown quite a bit over the years that we've had it, which makes it difficult for it to meet our demands. However, for an organization the size of what we were when we started our journey with it, I'd rate it ten out of ten. Where we are now, with our company size and needs, I'd rate it six 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

"The graphical user interface (GUI) is very useful, since I don't know any coding languages. I have been able to be a developer with Automation Anywhere without knowing the technical background. I am a business user, and not needing the technical knowledge to use the system has been useful for me."
"This solution is easy to use and understand, even for a non-technical person."
"Bot Runner - The Bot Runner is the machine where you run the bot. You could have multiple bots running in parallel. You only need the Run License to run the bots. The bots report back the execution logs/pass/fail status back to the control room."
"So far, the organization has 20+ bots, which has generated more than $50K of ROI."
"The most valuable feature is the task bots because we found that cognitive functionality can be improvised."
"Being able to connect with third-party tools is the best feature."
"Automation Anywhere can easily be adopted and learnt."
"It is highly scalable on cloud and virtual machines."
"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"
"I like Expressive Barista's integration with Microsoft Teams."
"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."
"The solution is available to support us instantly as required."
"Given the out of the box content for common industry applications, we got good value out of the solution right from day one."
"It is quite user friendly to use and has a lot of very useful features that makes the analyst/technician's life easier."
"We've definitely seen an ROI; we've had the system in place for eight years, and it's provided a solid platform for us to deliver our services during that period."
"The solution's business process flow is quite strong. Its reporting is quite good. The standard, basic ITSM functionality like call logging and call flow, for example, are areas the solution really excels in."
 

Cons

"As of now IQ Bot only takes/fetches the record of the places that we have marked. e.g. Invoices fields that are dynamic in nature are very difficult to fetch the data from the scan copy. If this feature gets added, it will save a lot of time for developers."
"Automation Anywhere is not very scalable because the update and upgrade process requires immense effort from the IT organization to do a tool check."
"The areas that need improvement are the license management, user access permission, user role access management, and technical support."
"We are having trouble creating a reliable and stable situation in our environment."
"IQ Bot should have an easier way to tag the document's source after extracting information from the document. (Which group does the document or a transaction belong to)."
"The AI Sense functionality is what I believe can be improved since when I tried to use it for automating a use case involving a Citrix Virtual Machine, it was unable to capture objects consistently."
"If I want to do something that is more purely business-related and is somewhat complex to write or is nuanced, I sometimes have trouble implementing that inside of the Automation Anywhere script. I feel limited at times with some of the looping and some of the branching and some of the ways to make procedure calls when I have a complex business issue."
"The original setup was easy. What was difficult was adding licenses. I went a month where I was paying for licenses that I couldn't use, for various reasons. That was painful."
"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."
"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."
"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."
"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 the continued expansion of all of the automation capabilities."
"Customer Service: I'd rate it as a 5/10 or 6/10."
"It's worked well for us for a significant period of time. However, we are kind-of outgrowing it at the moment. We're struggling a bit with making it meet our requirements."
 

Pricing and Cost Advice

"Their overall pricing falls in the middle of the market. Cost-wise, Automation Anywhere is quite expensive because of their analytics, IQ Bots, and MetaBots. For a standalone machine, the pricing is okay. When adding in the licensing for IQ Bots (or MetaBots), it can become quite costly."
"We save approximately 10,000 hours per year."
"I've seen the price vary by whether the client is going to scale and adopt a tool."
"In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their pricing."
"More than 40 to 50 percent of the IT budget will be for the cost of automation projects in the coming years since these projects enhance operations add value."
"The pricing for Automation Anywhere is reasonable."
"Licensing for Automation Anywhere (AA) is paid on a yearly basis. Out of all the RPA tools, it has the most value for money, e.g. what you pay is what you get."
"We have a three-year contract with Automation Anywhere."
"The solution is affordable."
"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."
"It is expensive. It's not a cheap thing."
"The price for the licensing is fair."
"Our organization pays about $40,000 annually. There are ongoing consultancy costs and if we want to change anything, we're charged a day rate. Other than that, there are no other extra costs involved in working with the solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Manufacturing Company
15%
Construction Company
9%
Computer Software Company
8%
Healthcare Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise83
Large Enterprise553
By reviewers
Company SizeCount
Small Business3
Large Enterprise6
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)
No data available
Supportworks
 

Interactive Demo

Demo not available
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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Aylesbury Vale District Council
Find out what your peers are saying about Espressive Barista vs. Hornbill Systems Supportworks and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.