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Espressive Barista vs Samanage 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
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)
Samanage
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Help Desk Software (25th), IT Asset Management (18th), IT Service Management (ITSM) (25th), License Management (8th)
 

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.
MC
Consult at a manufacturing company with 10,001+ employees
Detects incidents quickly, improves our SLA performance and solves issues faster
We mainly use it for incident logging. We'd like to add service request functionality, but we don't have the knowledge to configure the requests and the workflows properly. We'd like to integrate our workflows with the incident management, so we use it to manage our work better. We'd like to implement the service request feature. Right now, we just record everything as incidents. Some activities can take a long time, maybe one or two weeks. This makes it hard to maintain a good SLA, even if we work hard. So, response speed and workflow improvements.

Quotes from Members

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

Pros

"It helps to improve and optimize processes. It eliminates some of the manual tasks, so we can save costs."
"We offer them a cost and time-effective solution for repeated and time-consuming processes, which surely help a lot in terms of improving quality."
"Our onboarding process was pretty good. We got access to all software that we needed to learn and utilize. The Automation Anywhere University is really good. In our business, the person who was onboarding us helped us to understand how to create a center of excellence and what verticals we needed to improve. So, the support was there. We are gradually becoming a center of excellence ourselves."
"AA control room is one central system to manage our tasks. We found it excellent to administrate. It was used for easy scheduling of process/task in Remote desktop. This helped to avoid manual intervention to trigger tasks."
"The support team is good and is able to resolve the issues or any challenges we encounter."
"The most valuable feature is the user-friendly interface."
"Automation Anywhere has save us more than $40,000 in the past year."
"I strongly believe that the UI which we have is a good advantage for Automation Anywhere, as it is easy to understand, so a person who is new to Automation Anywhere can easily understand and start their journey with it."
"The most valuable feature is its scalability."
"Given the out of the box content for common industry applications, we got good value out of the solution right from day one."
"This is one of the few tools that live up to the sales reps' hype when it comes to integrating with ServiceNow."
"I like Expressive Barista's integration with Microsoft Teams."
"Our department received about a 70% deflection rate, so that was really great."
"The solution is available to support us instantly as required."
"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"
"The best part is the ability to keep records, especially incident records. It's easy to use the tool to store data and monitor it."
"Samanage has not only taken over asset and inventory management, but it also has the ability to function across departments, making it easy for end users to submit help desk tickets for IT, HR, and Finance."
"I would recommend Samanage from the IT support perspective because it's a great ticketing system and the only downside is the site shutdowns and the messy nature of the UI and UX."
"The solution has a great filtering feature."
 

Cons

"I feel a lack of convenience when I try to scale it."
"We would like a smoother process for moving bots and tasks between the different development environments, from development to testing to production. We find this to be pretty cumbersome to work through."
"They can further improve the AI. It is already at a certain level, but it can be improved."
"One thing about it that we have not found to be exceptionally useful are the built-in bot analytics, the Bot Insights. From our own extensive experimentation, as well as from what we've understood from other people using this solution, we've been able to come up with better solutions using our own in-house analytics and our own systems than through theirs."
"We need a better way of getting upgrades or defect fixes. It is creating problems for us, as we have to go for a completely new version. Maintaining and managing existing bots, then coming up with new ones takes a lot of time. We would rather have a batch fix than an installation to an installation."
"They should do more on the cognitive side. If they can keep adding more features, that would be their greatest advantage."
"The initial deployment and onboarding process was somewhat difficult, but once things stabilized, the experience became excellent."
"I would like to see a bot button."
"I would like to see the continued expansion of all of the automation capabilities."
"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."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"The reports provided by the solution are not customizable."
"There aren't very many things that this product needs improvement on."
"The knowledge management could definitely be improved."
"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 setting up process is not quite easy. It's quite difficult."
"The system shuts down about once a month which is frustrating."
"We've had some problems with the system shutting down about once a month. It sometimes takes five or 10 minutes to start working again but it can also take hours."
"There are definitely areas for improvement, but so far, so good."
 

Pricing and Cost Advice

"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"Our annual licensing costs for the entire company are $100,000."
"It saves on the quality of work, because the quality can be bad when somebody's doing it. If a bot does the work, it's faster and comes with good quality. These are two important things along with the cost saving in the long run. That's where the value is."
"Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. It has to be completely dedicated. Then there are the network bandwidth requirements and space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too."
"If you are looking into Automation Anywhere, get the Community Edition and play with it."
"It is expensive. Automation Anywhere has reduced the price slightly, as we have grown. However, the price is still excessive enough that we are engaged in PoCs on other tools."
"Because it reduced the time duration of our processes, our costs went down."
"The pricing model can be a bit more flexible."
"The solution is affordable."
"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 price for the licensing is fair."
"It is expensive. It's not a cheap thing."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"It is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
11%
Manufacturing Company
15%
Construction Company
9%
Healthcare Company
7%
Financial Services Firm
6%
Construction Company
17%
Comms Service Provider
9%
Financial Services Firm
9%
Manufacturing Company
8%
 

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
SXSW, PRA Group, Fandango, Inteva Products, Amherst College, Tensator
Find out what your peers are saying about Espressive Barista vs. Samanage and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.