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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
6.8
Number of Reviews
666
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)
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)
Samanage
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Help Desk Software (25th), IT Asset Management (19th), IT Service Management (ITSM) (26th), 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

"Stability is great."
"The Automation Anywhere University is a good tool. It goes topic-by-topic with real-time examples."
"For business professionals, it automates repetitive tasks and enhances efficiency and cost savings."
"We get a significant ROI even though the licensing cost is higher than average. The gains we realize from the initial development make up for it. In the last three years, I estimate we have saved around 2,200 hours of labor. To date, we've saved almost $6 million."
"The most valuable feature, which was launched last year, is Automation Co-Pilot. Microsoft has a co-pilot, but it's only for Word, Excel, Outlook, and PowerPoint. But Automation Anywhere offers a co-pilot that is suitable for Salesforce, Genesys, Atlassian, and other contact center and standard applications. This is a game-changing feature for Automation Anywhere..."
"AA has indirectly helped in re-engineering processes, which has made them more robust and efficient, and this has helped the business immensely."
"Be it a Windows application, a web application, or a legacy tool, Automation Anywhere is able to achieve automation on these technologies seamlessly."
"Automation Anywhere can easily be adopted and learnt."
"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."
"The solution is available to support us instantly as required."
"I like Expressive Barista's integration with Microsoft Teams."
"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."
"Our department received about a 70% deflection rate, so that was really great."
"The bot is pretty easy to update and keep up to date. Espressive itself is pretty easy to work with."
"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 best part is the ability to keep records, especially incident records. It's easy to use the tool to store data and monitor it."
"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."
"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."
 

Cons

"There is room for improvement when this application is used in a Citrix-based environment."
"The analytical dashboard in the Control Room could use some improvement."
"Automation Anywhere could add more tools to track the processes and ROI, so we can get a better understanding of the cost savings and compliance. We heavily track those metrics and make them available to the leadership for review."
"Debugging can be particularly tricky; identifying the exact reasons for bot failures can be time-consuming."
"After implementing, I have seen that some customers are not getting ROI from that, so they are stepping back from using Automation Anywhere."
"Automation Anywhere can be improved by integrating self-correction capabilities into the bots, particularly as we develop RPA, where changes in environment paths require additional redeveloping efforts."
"On the user side, we have seen issues with user training."
"We also got a tool from Automation Anywhere that was supposed to fix or patch a problem, but it didn't work. It was a horrible, pathetic product that they brought out when it wasn't ready."
"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."
"The reports provided by the solution are not customizable."
"There aren't very many things that this product needs improvement on."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"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."
"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."
"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."
"The system shuts down about once a month which is frustrating."
"The setting up process is not quite easy. It's quite difficult."
 

Pricing and Cost Advice

"They recently launched a Community Edition, which is okay, but they should have done this a long time ago."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"I think it's $5,500 per license."
"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."
"The product starts at $10,000 and then it's up to you regarding how much you can consume."
"We have established a CoE and we take our bot opportunities based on their ROIs. The best ROI opportunity goes to development first. Our ROI opportunities are compliance, profitable growth, productivity enhancements, productivity gains, number of hours the productivity saved, and resources not available that the work can be done by the bot. However, the single most important criteria that we use to measure ROI is how much time does the bot cut down from an analyst's work, as this has the best ROI. E.g., if an analyst is spending a 100 hours of work that a bot can do in one hour, we calculate the 99 hours saved as ROI."
"The cost is high for small-scale businesses but it is fine for medium and large enterprises. Its high licensing cost may affect small-scale businesses. Reducing licensing costs would benefit many users."
"If we count the integrations that we have done with Appian, which is where a lot of our savings is from, we are well over a million dollars in savings. This is from only doing development for about a year and a half."
"The solution is affordable."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"It is expensive. It's not a cheap thing."
"The price for the licensing is fair."
"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."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
11%
Comms Service Provider
11%
Manufacturing Company
15%
Construction Company
9%
Healthcare Company
7%
Financial Services Firm
6%
Construction Company
16%
Comms Service Provider
12%
Manufacturing Company
10%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise85
Large Enterprise561
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

Demo not available
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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: September 2026.
915,341 professionals have used our research since 2012.